From 9f0598be42655596ded1e8631f76aa0fa1cec001 Mon Sep 17 00:00:00 2001 From: datejada Date: Sat, 13 Jan 2024 10:26:05 +0100 Subject: [PATCH] Add material to the repo --- 01-Intro2Python-bases.ipynb | 576 ++ 02-Intro2Python-pandas.ipynb | 4374 +++++++++++ 03-Intro2Python-viz.ipynb | 2546 ++++++ 04-Intro2Python-bucles.ipynb | 432 ++ 05-Intro2Python-ExtraMaterial1.ipynb | 893 +++ 06-Intro2Python-ExtraMaterial2.ipynb | 1056 +++ 07-Intro2Python-ExtraMaterial3.ipynb | 10367 +++++++++++++++++++++++++ data_output/gapminder_new.csv | 1705 ++++ datasets/Day-ahead Prices_ES.csv | 8762 +++++++++++++++++++++ datasets/employees.csv | 11 + datasets/gapminder.csv | 1705 ++++ datasets/locations.csv | 4 + datasets/store.xlsx | Bin 0 -> 1347254 bytes outputs/pandas-plotly-scatter.html | 14 + outputs/pandas-scatter-final.png | Bin 0 -> 526800 bytes outputs/pandas-scatter.png | Bin 0 -> 23937 bytes outputs/pandas-seaborn-scatter-2.png | Bin 0 -> 87460 bytes outputs/pandas-seaborn-scatter.png | Bin 0 -> 54326 bytes outputs/pie.html | 14 + outputs/scatter-pandas.png | Bin 0 -> 9666 bytes requirements.txt | 60 + 21 files changed, 32519 insertions(+) create mode 100644 01-Intro2Python-bases.ipynb create mode 100644 02-Intro2Python-pandas.ipynb create mode 100644 03-Intro2Python-viz.ipynb create mode 100644 04-Intro2Python-bucles.ipynb create mode 100644 05-Intro2Python-ExtraMaterial1.ipynb create mode 100644 06-Intro2Python-ExtraMaterial2.ipynb create mode 100644 07-Intro2Python-ExtraMaterial3.ipynb create mode 100644 data_output/gapminder_new.csv create mode 100644 datasets/Day-ahead Prices_ES.csv create mode 100644 datasets/employees.csv create mode 100644 datasets/gapminder.csv create mode 100644 datasets/locations.csv create mode 100644 datasets/store.xlsx create mode 100644 outputs/pandas-plotly-scatter.html create mode 100644 outputs/pandas-scatter-final.png create mode 100644 outputs/pandas-scatter.png create mode 100644 outputs/pandas-seaborn-scatter-2.png create mode 100644 outputs/pandas-seaborn-scatter.png create mode 100644 outputs/pie.html create mode 100644 outputs/scatter-pandas.png create mode 100644 requirements.txt diff --git a/01-Intro2Python-bases.ipynb b/01-Intro2Python-bases.ipynb new file mode 100644 index 0000000..b8436c3 --- /dev/null +++ b/01-Intro2Python-bases.ipynb @@ -0,0 +1,576 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduccion a Python" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Este es el inicio del curso de **Python**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Operadores, tipos de variables y cómo asignarlas" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Operadores aritméticos\n", + "|Operator |Description |Syntax|\n", + "|:-------:|:---------------------:|:----:|\n", + "|+ |Addition |a + b |\n", + "|- |Subtraction |a – b |\n", + "|* |Multiplication |a * b |\n", + "|/ |Division (float) |a / b |\n", + "|// |Floor division |a // b|\n", + "|% |Modulus (remainder) |a % b |\n", + "|** |Exponentiation (power) |a ** b|" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Operadores de comparación\n", + "|Operator |Description |Syntax|\n", + "|:-------:|:-----------------------:|:----:|\n", + "|== |Equal |a == b|\n", + "|!= |Not equal |a != b|\n", + "|> |Greater than |a > b |\n", + "|< |Lower than |a > b |\n", + "|>= |Greater than or equal to |a >= b|\n", + "|<= |Lower than or equal to |a <= b|" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# definición de variables\n", + "altura = 1.79 #m\n", + "peso = 73.8 #kg" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.79\n", + "el BMI es: 23.032988982865703 kg/m2\n" + ] + } + ], + "source": [ + "BMI = peso / altura**2\n", + "print(altura)\n", + "print(\"el BMI es: \", BMI, \"kg/m2\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "\n" + ] + } + ], + "source": [ + "# tipos de variables\n", + "print(type(BMI)) # número decimal (float)\n", + "print(type(5)) # número entero (int)\n", + "print(type(\"BMI\")) # un texto (str)\n", + "print(type(True)) # tipo boolen (bool)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5\n", + "abcd\n" + ] + } + ], + "source": [ + "# el tipo de variable define el comportamiento y las opciones que tengo con esa variable\n", + "print(2+3) #suma algebraica\n", + "print(\"ab\" + \"cd\") #concatenar texto" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# listas en python\n", + "alturas = [1.79, 1.68, 1.71, 1.89]\n", + "pesos = [73.9, 64.1, 78.1, 80.2]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.79\n", + "[1.79, 1.68]\n", + "1.89\n" + ] + } + ], + "source": [ + "# subconjuntos de listas\n", + "print(alturas[0]) #Importante, los índices inician en 0\n", + "print(alturas[0:2]) #importante, la selección es intervalo cerrado a la izq y abierto a la derecha: [)\n", + "print(alturas[-1]) # los índices negativos, es de atrás para adelante" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1.79, 1.69, 1.71, 1.89]\n" + ] + } + ], + "source": [ + "# manipulación de listas\n", + "alturas[1] = 1.69 #cambiando el segundo elemento de la lista\n", + "print(alturas)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1.79, 1.69, 1.71, 1.89, 1.76]\n" + ] + } + ], + "source": [ + "# agregar elementos\n", + "alturas = alturas + [1.76]\n", + "print(alturas)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1.79, 1.69, 1.71, 1.89]\n" + ] + } + ], + "source": [ + "# borrar elemento\n", + "del(alturas[-1])\n", + "print(alturas)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1.79, 1.69, 1.71, 1.89]\n", + "[1.79, 1.69, 1.71, 1.87]\n", + "[1.79, 1.69, 1.71, 1.87]\n" + ] + } + ], + "source": [ + "# ANTENCION: con los nombre y las copias de las listas!!!\n", + "alturas_copia = alturas\n", + "print(alturas_copia)\n", + "alturas_copia[-1] = 1.87\n", + "print(alturas_copia)\n", + "#peligro!!!\n", + "print(alturas) #???" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1.79, 1.69, 1.71, 1.87]\n", + "[1.79, 1.69, 1.71, 1.89]\n", + "[1.79, 1.69, 1.71, 1.87]\n" + ] + } + ], + "source": [ + "# solución\n", + "alturas_copia = list(alturas) # otra forma de hacer una copia: alturas_copia = alturas[:]\n", + "print(alturas_copia)\n", + "alturas_copia[-1] = 1.89\n", + "print(alturas_copia)\n", + "# ya no hay peligro\n", + "print(alturas)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.87\n", + "1.69\n" + ] + } + ], + "source": [ + "# funciones sobre las listas\n", + "print(max(alturas))\n", + "print(min(alturas))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# librería Numpy\n", + "# %pip install numpy #instalar la librería numpy\n", + "import numpy as np #importar la librería/paquete/modulo..." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1.79 1.69 1.71 1.87]\n", + "[73.9 64.1 78.1 80.2]\n" + ] + } + ], + "source": [ + "# definición de array en numpy (listas en numpy)\n", + "np_alturas = np.array(alturas)\n", + "np_pesos = np.array(pesos)\n", + "print(np_alturas)\n", + "print(np_pesos)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "unsupported operand type(s) for ** or pow(): 'list' and 'int'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[15], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# mediante listas\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m BMIs \u001b[38;5;241m=\u001b[39m pesos \u001b[38;5;241m/\u001b[39m \u001b[43malturas\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m2\u001b[39;49m\n", + "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for ** or pow(): 'list' and 'int'" + ] + } + ], + "source": [ + "# mediante listas\n", + "BMIs = pesos / alturas**2" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[23.064199 22.44319176 26.70907288 22.93459922]\n" + ] + } + ], + "source": [ + "# mediante numpy\n", + "BMIs = np_pesos / np_alturas**2\n", + "print(BMIs)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "22.443191764994225\n", + "[23.064199 22.44319176]\n", + "22.934599216448852\n" + ] + } + ], + "source": [ + "# acceder a elementos de un array en numpy\n", + "print(BMIs[1]) # el segundo valor del array\n", + "print(BMIs[0:2]) # los dos primeros elementos del array\n", + "print(BMIs[-1]) # último" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ True, False, True, False])" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# selección basada en criterios\n", + "BMIs > 23" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([23.064199 , 26.70907288])" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "BMIs[BMIs>23]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "23.78776571340132\n", + "22.99939910574323\n", + "26.709072877124587\n", + "22.443191764994225\n" + ] + } + ], + "source": [ + "# operaciones con Numpy\n", + "print(np.mean(BMIs)) # valor medio\n", + "print(np.median(BMIs)) # la mediana\n", + "print(np.max(BMIs)) # max\n", + "print(np.min(BMIs)) # min" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[21], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# doble condicional\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m BMIs[\u001b[43mBMIs\u001b[49m\u001b[38;5;241;43m>\u001b[39;49m\u001b[38;5;241;43m23\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mand\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mBMIs\u001b[49m\u001b[38;5;241;43m<\u001b[39;49m\u001b[38;5;241;43m25\u001b[39;49m]\n", + "\u001b[1;31mValueError\u001b[0m: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()" + ] + } + ], + "source": [ + "# doble condicional\n", + "BMIs[BMIs>23 and BMIs<25]" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ True, False, False, False])" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.logical_and(BMIs>23,BMIs<25)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([23.064199])" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "BMIs[np.logical_and(BMIs>23,BMIs<25)]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.7 ('base')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + }, + "vscode": { + "interpreter": { + "hash": "46a03d00e8bf03b81df85e7224fff2d455c2e10c7ddc5145f710206829265f5a" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/02-Intro2Python-pandas.ipynb b/02-Intro2Python-pandas.ipynb new file mode 100644 index 0000000..21a525d --- /dev/null +++ b/02-Intro2Python-pandas.ipynb @@ -0,0 +1,4374 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinentlife_expgdp_cap
0Afghanistan19528425333Asia28.801779.445314
1Afghanistan19579240934Asia30.332820.853030
2Afghanistan196210267083Asia31.997853.100710
3Afghanistan196711537966Asia34.020836.197138
4Afghanistan197213079460Asia36.088739.981106
.....................
1699Zimbabwe19879216418Africa62.351706.157306
1700Zimbabwe199210704340Africa60.377693.420786
1701Zimbabwe199711404948Africa46.809792.449960
1702Zimbabwe200211926563Africa39.989672.038623
1703Zimbabwe200712311143Africa43.487469.709298
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" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap\n", + "0 Afghanistan 1952 8425333 Asia 28.801 779.445314\n", + "1 Afghanistan 1957 9240934 Asia 30.332 820.853030\n", + "2 Afghanistan 1962 10267083 Asia 31.997 853.100710\n", + "3 Afghanistan 1967 11537966 Asia 34.020 836.197138\n", + "4 Afghanistan 1972 13079460 Asia 36.088 739.981106\n", + "... ... ... ... ... ... ...\n", + "1699 Zimbabwe 1987 9216418 Africa 62.351 706.157306\n", + "1700 Zimbabwe 1992 10704340 Africa 60.377 693.420786\n", + "1701 Zimbabwe 1997 11404948 Africa 46.809 792.449960\n", + "1702 Zimbabwe 2002 11926563 Africa 39.989 672.038623\n", + "1703 Zimbabwe 2007 12311143 Africa 43.487 469.709298\n", + "\n", + "[1704 rows x 6 columns]" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#%% importar/cargar pandas\n", + "import pandas as pd\n", + "\n", + "#%% leer archivo csv\n", + "\n", + "df = pd.read_csv('.\\datasets\\gapminder.csv')\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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yearpopulationlife_expgdp_cap
count1704.000001.704000e+031704.0000001704.000000
mean1979.500002.960121e+0759.4744397215.327081
std17.265331.061579e+0812.9171079857.454543
min1952.000006.001100e+0423.599000241.165876
25%1965.750002.793664e+0648.1980001202.060309
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75%1993.250001.958522e+0770.8455009325.462346
max2007.000001.318683e+0982.603000113523.132900
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" + ], + "text/plain": [ + " year population life_exp gdp_cap\n", + "count 1704.00000 1.704000e+03 1704.000000 1704.000000\n", + "mean 1979.50000 2.960121e+07 59.474439 7215.327081\n", + "std 17.26533 1.061579e+08 12.917107 9857.454543\n", + "min 1952.00000 6.001100e+04 23.599000 241.165876\n", + "25% 1965.75000 2.793664e+06 48.198000 1202.060309\n", + "50% 1979.50000 7.023596e+06 60.712500 3531.846988\n", + "75% 1993.25000 1.958522e+07 70.845500 9325.462346\n", + "max 2007.00000 1.318683e+09 82.603000 113523.132900" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# useful dataframe functions\n", + "#df.head() # first n elements\n", + "#df.tail() # last n elements\n", + "#df.count() # number of values per column\n", + "#df.info() # general information of the dataframe\n", + "#df.shape # number of rows and columns\n", + "#df.columns # columns names in a list\n", + "#df.index # index values\n", + "#df.values # values of the dataframe\n", + "#df.dtypes # data types of the columns\n", + "#df.isnull().any() # check if any column has null values\n", + "#df.isnull().sum() # number of null values per column\n", + "#df.dropna() # drop rows with null values\n", + "#df.fillna(0) # fill null values with 0\n", + "\n", + "df.describe() # dataframe statistics" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 countryyearpopulationcontinentlife_expgdp_captotal_GDP
0Afghanistan19528425333Asia28.801000779.4453146567086329.952229
1Afghanistan19579240934Asia30.332000820.8530307585448670.233646
2Afghanistan196210267083Asia31.997000853.1007108758855796.928930
3Afghanistan196711537966Asia34.020000836.1971389648014149.848902
4Afghanistan197213079460Asia36.088000739.9811069678553274.066868
5Afghanistan197714880372Asia38.438000786.11336011697659230.969919
6Afghanistan198212881816Asia39.854000978.01143912598563400.516861
7Afghanistan198713867957Asia40.822000852.39594511820990309.460773
8Afghanistan199216317921Asia41.674000649.34139510595901588.903379
9Afghanistan199722227415Asia41.763000635.34135114121995875.337666
\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# se puede aprovechar Jupyter para poner colores al dataframe. ej. a las primeras 10 filas\n", + "(df.head(10)\n", + " .style\n", + " .highlight_max(color='lightgreen')\n", + " .highlight_min(color='#cd4f39')\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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country
continent
Africa624
Americas300
Asia396
Europe360
Oceania24
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" + ], + "text/plain": [ + " country\n", + "continent \n", + "Africa 624\n", + "Americas 300\n", + "Asia 396\n", + "Europe 360\n", + "Oceania 24" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# data per continent\n", + "pt = df.pivot_table(index='continent',values='country',aggfunc='count')\n", + "pt" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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year195219571962196719721977198219871992199720022007
continent
Africa525252525252525252525252
Americas252525252525252525252525
Asia333333333333333333333333
Europe303030303030303030303030
Oceania222222222222
\n", + "
" + ], + "text/plain": [ + "year 1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 2002 \\\n", + "continent \n", + "Africa 52 52 52 52 52 52 52 52 52 52 52 \n", + "Americas 25 25 25 25 25 25 25 25 25 25 25 \n", + "Asia 33 33 33 33 33 33 33 33 33 33 33 \n", + "Europe 30 30 30 30 30 30 30 30 30 30 30 \n", + "Oceania 2 2 2 2 2 2 2 2 2 2 2 \n", + "\n", + "year 2007 \n", + "continent \n", + "Africa 52 \n", + "Americas 25 \n", + "Asia 33 \n", + "Europe 30 \n", + "Oceania 2 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# data per continent and year\n", + "pt = df.pivot_table(index='continent',columns='year',values='country',aggfunc='count')\n", + "pt" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinentlife_expgdp_cap
853Kuwait1957212846Asia58.033113523.13290
856Kuwait1972841934Asia67.712109347.86700
852Kuwait1952160000Asia55.565108382.35290
854Kuwait1962358266Asia60.47095458.11176
855Kuwait1967575003Asia64.62480894.88326
857Kuwait19771140357Asia69.34359265.47714
1151Norway20074627926Europe80.19649357.19017
863Kuwait20072505559Asia77.58847306.98978
1367Singapore20074553009Asia79.97247143.17964
1150Norway20024535591Europe79.05044683.97525
\n", + "
" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap\n", + "853 Kuwait 1957 212846 Asia 58.033 113523.13290\n", + "856 Kuwait 1972 841934 Asia 67.712 109347.86700\n", + "852 Kuwait 1952 160000 Asia 55.565 108382.35290\n", + "854 Kuwait 1962 358266 Asia 60.470 95458.11176\n", + "855 Kuwait 1967 575003 Asia 64.624 80894.88326\n", + "857 Kuwait 1977 1140357 Asia 69.343 59265.47714\n", + "1151 Norway 2007 4627926 Europe 80.196 49357.19017\n", + "863 Kuwait 2007 2505559 Asia 77.588 47306.98978\n", + "1367 Singapore 2007 4553009 Asia 79.972 47143.17964\n", + "1150 Norway 2002 4535591 Europe 79.050 44683.97525" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#¿como puedo ver los 10 gdp más altos?\n", + "df.sort_values('gdp_cap',ascending=False).head(10) #de mayor a menor" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinentlife_expgdp_cap
334Congo, Dem. Rep.200255379852Africa44.966241.165876
335Congo, Dem. Rep.200764606759Africa46.462277.551859
876Lesotho1952748747Africa42.138298.846212
624Guinea-Bissau1952580653Africa32.500299.850319
333Congo, Dem. Rep.199747798986Africa42.587312.188423
.....................
855Kuwait1967575003Asia64.62480894.883260
854Kuwait1962358266Asia60.47095458.111760
852Kuwait1952160000Asia55.565108382.352900
856Kuwait1972841934Asia67.712109347.867000
853Kuwait1957212846Asia58.033113523.132900
\n", + "

1704 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap\n", + "334 Congo, Dem. Rep. 2002 55379852 Africa 44.966 241.165876\n", + "335 Congo, Dem. Rep. 2007 64606759 Africa 46.462 277.551859\n", + "876 Lesotho 1952 748747 Africa 42.138 298.846212\n", + "624 Guinea-Bissau 1952 580653 Africa 32.500 299.850319\n", + "333 Congo, Dem. Rep. 1997 47798986 Africa 42.587 312.188423\n", + ".. ... ... ... ... ... ...\n", + "855 Kuwait 1967 575003 Asia 64.624 80894.883260\n", + "854 Kuwait 1962 358266 Asia 60.470 95458.111760\n", + "852 Kuwait 1952 160000 Asia 55.565 108382.352900\n", + "856 Kuwait 1972 841934 Asia 67.712 109347.867000\n", + "853 Kuwait 1957 212846 Asia 58.033 113523.132900\n", + "\n", + "[1704 rows x 6 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#¿como puedo organizar por 2 criterios, ejemplo: gdp_cap y lif_exp\n", + "df.sort_values(['gdp_cap','life_exp'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinentlife_expgdp_cap
334Congo, Dem. Rep.200255379852Africa44.966241.165876
335Congo, Dem. Rep.200764606759Africa46.462277.551859
876Lesotho1952748747Africa42.138298.846212
624Guinea-Bissau1952580653Africa32.500299.850319
333Congo, Dem. Rep.199747798986Africa42.587312.188423
.....................
855Kuwait1967575003Asia64.62480894.883260
854Kuwait1962358266Asia60.47095458.111760
852Kuwait1952160000Asia55.565108382.352900
856Kuwait1972841934Asia67.712109347.867000
853Kuwait1957212846Asia58.033113523.132900
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1704 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap\n", + "334 Congo, Dem. Rep. 2002 55379852 Africa 44.966 241.165876\n", + "335 Congo, Dem. Rep. 2007 64606759 Africa 46.462 277.551859\n", + "876 Lesotho 1952 748747 Africa 42.138 298.846212\n", + "624 Guinea-Bissau 1952 580653 Africa 32.500 299.850319\n", + "333 Congo, Dem. Rep. 1997 47798986 Africa 42.587 312.188423\n", + ".. ... ... ... ... ... ...\n", + "855 Kuwait 1967 575003 Asia 64.624 80894.883260\n", + "854 Kuwait 1962 358266 Asia 60.470 95458.111760\n", + "852 Kuwait 1952 160000 Asia 55.565 108382.352900\n", + "856 Kuwait 1972 841934 Asia 67.712 109347.867000\n", + "853 Kuwait 1957 212846 Asia 58.033 113523.132900\n", + "\n", + "[1704 rows x 6 columns]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#un criterio de menor a mayor y el otro de mayor a menor\n", + "df.sort_values(['gdp_cap','life_exp'],ascending=[True,False])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinent
0Afghanistan19528425333Asia
1Afghanistan19579240934Asia
2Afghanistan196210267083Asia
3Afghanistan196711537966Asia
4Afghanistan197213079460Asia
...............
1699Zimbabwe19879216418Africa
1700Zimbabwe199210704340Africa
1701Zimbabwe199711404948Africa
1702Zimbabwe200211926563Africa
1703Zimbabwe200712311143Africa
\n", + "

1704 rows × 4 columns

\n", + "
" + ], + "text/plain": [ + " country year population continent\n", + "0 Afghanistan 1952 8425333 Asia\n", + "1 Afghanistan 1957 9240934 Asia\n", + "2 Afghanistan 1962 10267083 Asia\n", + "3 Afghanistan 1967 11537966 Asia\n", + "4 Afghanistan 1972 13079460 Asia\n", + "... ... ... ... ...\n", + "1699 Zimbabwe 1987 9216418 Africa\n", + "1700 Zimbabwe 1992 10704340 Africa\n", + "1701 Zimbabwe 1997 11404948 Africa\n", + "1702 Zimbabwe 2002 11926563 Africa\n", + "1703 Zimbabwe 2007 12311143 Africa\n", + "\n", + "[1704 rows x 4 columns]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Addressing by index\n", + "# Because data frames are rectangular, elements of data frames can be referenced\n", + "# REMEMBER THE ZERO INDEXING!!\n", + "\n", + "#df.iloc[0, 2] # first element in the third column\n", + "#df.iloc[3,] # elements in the 4th row\n", + "#df.iloc[:,2] # elements in the third column\n", + "#df.iloc[[0, 4, 6, 8], 0:2] # two first columns for rows 1,5,7 and 9. Remember that it's an open interval in the right, i.e., [)\n", + "#df.iloc[:,1:] # the whole data frame except the first column\n", + "df.iloc[:,:-2] # the whole data fame except the last 2 columns" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 779.445314\n", + "1 820.853030\n", + "2 853.100710\n", + "3 836.197138\n", + "4 739.981106\n", + " ... \n", + "1699 706.157306\n", + "1700 693.420786\n", + "1701 792.449960\n", + "1702 672.038623\n", + "1703 469.709298\n", + "Name: gdp_cap, Length: 1704, dtype: float64" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#%% subsetting de columnas\n", + "df['gdp_cap'] #me quedo con solo los datos de gdp_cap\n", + "#df.gdp_cap #otra forma de hacer lo mismo" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "853.10071\n" + ] + }, + { + "data": { + "text/plain": [ + "853.10071" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get the third element(row) of column gdp_cap\n", + "# REMEMBER THE ZERO INDEXING!!\n", + "# opcion 1:\n", + "print(df['gdp_cap'][2])\n", + "# opcion 2:\n", + "df.loc[2,'gdp_cap']\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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gdp_caplife_exp
0779.44531428.801
1820.85303030.332
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3836.19713834.020
4739.98110636.088
.........
1699706.15730662.351
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1704 rows × 2 columns

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" + ], + "text/plain": [ + " gdp_cap life_exp\n", + "0 779.445314 28.801\n", + "1 820.853030 30.332\n", + "2 853.100710 31.997\n", + "3 836.197138 34.020\n", + "4 739.981106 36.088\n", + "... ... ...\n", + "1699 706.157306 62.351\n", + "1700 693.420786 60.377\n", + "1701 792.449960 46.809\n", + "1702 672.038623 39.989\n", + "1703 469.709298 43.487\n", + "\n", + "[1704 rows x 2 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#seleccionar 2 ¡ojo!\n", + "#opcion 1:\n", + "#df['gdp_cap','life_exp'] #da error porque espera una lista de nombres de columnas\n", + "df[['gdp_cap','life_exp']]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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gdp_caplife_exp
0779.44531428.801
1820.85303030.332
2853.10071031.997
3836.19713834.020
4739.98110636.088
.........
1699706.15730662.351
1700693.42078660.377
1701792.44996046.809
1702672.03862339.989
1703469.70929843.487
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" + ], + "text/plain": [ + " gdp_cap life_exp\n", + "0 779.445314 28.801\n", + "1 820.853030 30.332\n", + "2 853.100710 31.997\n", + "3 836.197138 34.020\n", + "4 739.981106 36.088\n", + "... ... ...\n", + "1699 706.157306 62.351\n", + "1700 693.420786 60.377\n", + "1701 792.449960 46.809\n", + "1702 672.038623 39.989\n", + "1703 469.709298 43.487\n", + "\n", + "[1704 rows x 2 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#opcion 2:\n", + "col2sel = ['gdp_cap','life_exp']\n", + "df[col2sel]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinentlife_expgdp_cap
53Argentina197726983828Americas68.48110079.02674
57Argentina199736203463Americas73.27510967.28195
59Argentina200740301927Americas75.32012779.37964
60Australia19528691212Oceania69.12010039.59564
61Australia19579712569Oceania70.33010949.64959
.....................
1637Venezuela197713503563Americas67.45613143.95095
1638Venezuela198215620766Americas68.55711152.41011
1640Venezuela199220265563Americas71.15010733.92631
1641Venezuela199722374398Americas72.14610165.49518
1643Venezuela200726084662Americas73.74711415.80569
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392 rows × 6 columns

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" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap\n", + "53 Argentina 1977 26983828 Americas 68.481 10079.02674\n", + "57 Argentina 1997 36203463 Americas 73.275 10967.28195\n", + "59 Argentina 2007 40301927 Americas 75.320 12779.37964\n", + "60 Australia 1952 8691212 Oceania 69.120 10039.59564\n", + "61 Australia 1957 9712569 Oceania 70.330 10949.64959\n", + "... ... ... ... ... ... ...\n", + "1637 Venezuela 1977 13503563 Americas 67.456 13143.95095\n", + "1638 Venezuela 1982 15620766 Americas 68.557 11152.41011\n", + "1640 Venezuela 1992 20265563 Americas 71.150 10733.92631\n", + "1641 Venezuela 1997 22374398 Americas 72.146 10165.49518\n", + "1643 Venezuela 2007 26084662 Americas 73.747 11415.80569\n", + "\n", + "[392 rows x 6 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# subsetting de valores en una columna\n", + "criterio = df['gdp_cap'] > 10000\n", + "df[criterio]\n", + "#df[criterio][['country','year']] # si solo quiero los paises y el año" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinentlife_expgdp_cap
1416Spain195228549870Europe64.9403834.034742
1417Spain195729841614Europe66.6604564.802410
1418Spain196231158061Europe69.6905693.843879
1419Spain196732850275Europe71.4407993.512294
1420Spain197234513161Europe73.06010638.751310
1421Spain197736439000Europe74.39013236.921170
1422Spain198237983310Europe76.30013926.169970
1423Spain198738880702Europe76.90015764.983130
1424Spain199239549438Europe77.57018603.064520
1425Spain199739855442Europe78.77020445.298960
1426Spain200240152517Europe79.78024835.471660
1427Spain200740448191Europe80.94128821.063700
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" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap\n", + "1416 Spain 1952 28549870 Europe 64.940 3834.034742\n", + "1417 Spain 1957 29841614 Europe 66.660 4564.802410\n", + "1418 Spain 1962 31158061 Europe 69.690 5693.843879\n", + "1419 Spain 1967 32850275 Europe 71.440 7993.512294\n", + "1420 Spain 1972 34513161 Europe 73.060 10638.751310\n", + "1421 Spain 1977 36439000 Europe 74.390 13236.921170\n", + "1422 Spain 1982 37983310 Europe 76.300 13926.169970\n", + "1423 Spain 1987 38880702 Europe 76.900 15764.983130\n", + "1424 Spain 1992 39549438 Europe 77.570 18603.064520\n", + "1425 Spain 1997 39855442 Europe 78.770 20445.298960\n", + "1426 Spain 2002 40152517 Europe 79.780 24835.471660\n", + "1427 Spain 2007 40448191 Europe 80.941 28821.063700" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# subsetting de valores de texto\n", + "pais = df['country'] == 'Spain'\n", + "#pais = df['country'].isin(['Spain','Colombia']) # for multiple countries\n", + "df[pais]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinentlife_expgdp_cap
1420Spain197234513161Europe73.06010638.75131
1421Spain197736439000Europe74.39013236.92117
1422Spain198237983310Europe76.30013926.16997
1423Spain198738880702Europe76.90015764.98313
1424Spain199239549438Europe77.57018603.06452
1425Spain199739855442Europe78.77020445.29896
1426Spain200240152517Europe79.78024835.47166
1427Spain200740448191Europe80.94128821.06370
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" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap\n", + "1420 Spain 1972 34513161 Europe 73.060 10638.75131\n", + "1421 Spain 1977 36439000 Europe 74.390 13236.92117\n", + "1422 Spain 1982 37983310 Europe 76.300 13926.16997\n", + "1423 Spain 1987 38880702 Europe 76.900 15764.98313\n", + "1424 Spain 1992 39549438 Europe 77.570 18603.06452\n", + "1425 Spain 1997 39855442 Europe 78.770 20445.29896\n", + "1426 Spain 2002 40152517 Europe 79.780 24835.47166\n", + "1427 Spain 2007 40448191 Europe 80.941 28821.06370" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# combinar criterios\n", + "df[(criterio & pais)]" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinentlife_expgdp_captotal_GDP
0Afghanistan19528425333Asia28.801779.4453146.567086e+09
1Afghanistan19579240934Asia30.332820.8530307.585449e+09
2Afghanistan196210267083Asia31.997853.1007108.758856e+09
3Afghanistan196711537966Asia34.020836.1971389.648014e+09
4Afghanistan197213079460Asia36.088739.9811069.678553e+09
........................
1699Zimbabwe19879216418Africa62.351706.1573066.508241e+09
1700Zimbabwe199210704340Africa60.377693.4207867.422612e+09
1701Zimbabwe199711404948Africa46.809792.4499609.037851e+09
1702Zimbabwe200211926563Africa39.989672.0386238.015111e+09
1703Zimbabwe200712311143Africa43.487469.7092985.782658e+09
\n", + "

1704 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap \\\n", + "0 Afghanistan 1952 8425333 Asia 28.801 779.445314 \n", + "1 Afghanistan 1957 9240934 Asia 30.332 820.853030 \n", + "2 Afghanistan 1962 10267083 Asia 31.997 853.100710 \n", + "3 Afghanistan 1967 11537966 Asia 34.020 836.197138 \n", + "4 Afghanistan 1972 13079460 Asia 36.088 739.981106 \n", + "... ... ... ... ... ... ... \n", + "1699 Zimbabwe 1987 9216418 Africa 62.351 706.157306 \n", + "1700 Zimbabwe 1992 10704340 Africa 60.377 693.420786 \n", + "1701 Zimbabwe 1997 11404948 Africa 46.809 792.449960 \n", + "1702 Zimbabwe 2002 11926563 Africa 39.989 672.038623 \n", + "1703 Zimbabwe 2007 12311143 Africa 43.487 469.709298 \n", + "\n", + " total_GDP \n", + "0 6.567086e+09 \n", + "1 7.585449e+09 \n", + "2 8.758856e+09 \n", + "3 9.648014e+09 \n", + "4 9.678553e+09 \n", + "... ... \n", + "1699 6.508241e+09 \n", + "1700 7.422612e+09 \n", + "1701 9.037851e+09 \n", + "1702 8.015111e+09 \n", + "1703 5.782658e+09 \n", + "\n", + "[1704 rows x 7 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# crear una nueva columna\n", + "df['total_GDP'] = df['gdp_cap'] * df['population']\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# podemos guardar el nuevo dataframe en un nuevo .csv\n", + "df.to_csv('.\\data_output\\gapminder_new.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countryyearpopulationcontinentlife_expgdp_captotal_GDP
0Afghanistan19528425333.0Asia28.801779.4453146.567086e+09
1Afghanistan19579240934.0Asia30.332820.8530307.585449e+09
2Afghanistan196210267083.0Asia31.997853.1007108.758856e+09
3Afghanistan196711537966.0Asia34.020836.1971389.648014e+09
4Afghanistan197213079460.0Asia36.088739.9811069.678553e+09
........................
1700Zimbabwe199210704340.0Africa60.377693.4207867.422612e+09
1701Zimbabwe199711404948.0Africa46.809792.4499609.037851e+09
1702Zimbabwe200211926563.0Africa39.989672.0386238.015111e+09
1703Zimbabwe200712311143.0Africa43.487469.7092985.782658e+09
0Valhalla2007NaNAsgardNaNNaNNaN
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1705 rows × 7 columns

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" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap \\\n", + "0 Afghanistan 1952 8425333.0 Asia 28.801 779.445314 \n", + "1 Afghanistan 1957 9240934.0 Asia 30.332 820.853030 \n", + "2 Afghanistan 1962 10267083.0 Asia 31.997 853.100710 \n", + "3 Afghanistan 1967 11537966.0 Asia 34.020 836.197138 \n", + "4 Afghanistan 1972 13079460.0 Asia 36.088 739.981106 \n", + "... ... ... ... ... ... ... \n", + "1700 Zimbabwe 1992 10704340.0 Africa 60.377 693.420786 \n", + "1701 Zimbabwe 1997 11404948.0 Africa 46.809 792.449960 \n", + "1702 Zimbabwe 2002 11926563.0 Africa 39.989 672.038623 \n", + "1703 Zimbabwe 2007 12311143.0 Africa 43.487 469.709298 \n", + "0 Valhalla 2007 NaN Asgard NaN NaN \n", + "\n", + " total_GDP \n", + "0 6.567086e+09 \n", + "1 7.585449e+09 \n", + "2 8.758856e+09 \n", + "3 9.648014e+09 \n", + "4 9.678553e+09 \n", + "... ... \n", + "1700 7.422612e+09 \n", + "1701 9.037851e+09 \n", + "1702 8.015111e+09 \n", + "1703 5.782658e+09 \n", + "0 NaN \n", + "\n", + "[1705 rows x 7 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# crear una nueva fila\n", + "import numpy as np\n", + "nrow = {'country': 'Valhalla', 'year': 2007, 'population': np.nan, 'continent': 'Asgard', 'life_exp': np.nan, 'gdp_cap': np.nan,'total_GDP':np.nan}\n", + "\n", + "df_newrow=pd.concat([df,pd.DataFrame([nrow])])\n", + "df_newrow\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1704, 7)\n", + "(1363, 7)\n", + "(341, 7)\n" + ] + } + ], + "source": [ + "# This function is very useful to split data into a train and test set.\n", + "# These sets will be used in the training and testing of machine learning models\n", + "\n", + "train_df = df.sample(frac=0.8, random_state=123) # we take 80% of the data and ensure we get the same data on each time\n", + "test_df = df[~df.index.isin(train_df.index)]\n", + "print(df.shape)\n", + "print(train_df.shape)\n", + "print(test_df.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "year 1.979500e+03\n", + "population 2.960121e+07\n", + "life_exp 5.947444e+01\n", + "gdp_cap 7.215327e+03\n", + "total_GDP 1.868096e+11\n", + "dtype: float64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# estadisticas\n", + "# para todas las columnas\n", + "df.mean(numeric_only=True) #median, mode, min, max, std, sum, quantile" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "7215.327081212149" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# para una columna\n", + "df['gdp_cap'].mean() #median, mode, min, max, std, sum, quantile" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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gdp_cap
country
Afghanistan802.674598
Albania3255.366633
Algeria4426.025973
Angola3607.100529
Argentina8955.553783
......
Vietnam1017.712615
West Bank and Gaza3759.996781
Yemen, Rep.1569.274672
Zambia1358.199409
Zimbabwe635.858042
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" + ], + "text/plain": [ + " gdp_cap\n", + "country \n", + "Afghanistan 802.674598\n", + "Albania 3255.366633\n", + "Algeria 4426.025973\n", + "Angola 3607.100529\n", + "Argentina 8955.553783\n", + "... ...\n", + "Vietnam 1017.712615\n", + "West Bank and Gaza 3759.996781\n", + "Yemen, Rep. 1569.274672\n", + "Zambia 1358.199409\n", + "Zimbabwe 635.858042\n", + "\n", + "[142 rows x 1 columns]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#media por pais\n", + "(df.groupby('country')[['gdp_cap']]\n", + " .mean()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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gdp_cap
continent
Africa2193.754578
Americas7136.110356
Asia7902.150428
Europe14469.475533
Oceania18621.609223
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" + ], + "text/plain": [ + " gdp_cap\n", + "continent \n", + "Africa 2193.754578\n", + "Americas 7136.110356\n", + "Asia 7902.150428\n", + "Europe 14469.475533\n", + "Oceania 18621.609223" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#media por continente\n", + "(df.groupby('continent')[['gdp_cap']]\n", + " .mean()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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gdp_cap
continentyear
Africa19521252.572466
19571385.236062
19621598.078825
19672050.363801
19722339.615674
19772585.938508
19822481.592960
19872282.668991
19922281.810333
19972378.759555
20022599.385159
20073089.032605
Americas19524079.062552
19574616.043733
19624901.541870
19675668.253496
19726491.334139
19777352.007126
19827506.737088
19877793.400261
19928044.934406
19978889.300863
20029287.677107
200711003.031625
Asia19525195.484004
19575787.732940
19625729.369625
19675971.173374
19728187.468699
19777791.314020
19827434.135157
19877608.226508
19928639.690248
19979834.093295
200210174.090397
200712473.026870
Europe19525661.057435
19576963.012816
19628365.486814
196710143.823757
197212479.575246
197714283.979110
198215617.896551
198717214.310727
199217061.568084
199719076.781802
200221711.732422
200725054.481636
Oceania195210298.085650
195711598.522455
196212696.452430
196714495.021790
197216417.333380
197717283.957605
198218554.709840
198720448.040160
199220894.045885
199724024.175170
200226938.778040
200729810.188275
\n", + "
" + ], + "text/plain": [ + " gdp_cap\n", + "continent year \n", + "Africa 1952 1252.572466\n", + " 1957 1385.236062\n", + " 1962 1598.078825\n", + " 1967 2050.363801\n", + " 1972 2339.615674\n", + " 1977 2585.938508\n", + " 1982 2481.592960\n", + " 1987 2282.668991\n", + " 1992 2281.810333\n", + " 1997 2378.759555\n", + " 2002 2599.385159\n", + " 2007 3089.032605\n", + "Americas 1952 4079.062552\n", + " 1957 4616.043733\n", + " 1962 4901.541870\n", + " 1967 5668.253496\n", + " 1972 6491.334139\n", + " 1977 7352.007126\n", + " 1982 7506.737088\n", + " 1987 7793.400261\n", + " 1992 8044.934406\n", + " 1997 8889.300863\n", + " 2002 9287.677107\n", + " 2007 11003.031625\n", + "Asia 1952 5195.484004\n", + " 1957 5787.732940\n", + " 1962 5729.369625\n", + " 1967 5971.173374\n", + " 1972 8187.468699\n", + " 1977 7791.314020\n", + " 1982 7434.135157\n", + " 1987 7608.226508\n", + " 1992 8639.690248\n", + " 1997 9834.093295\n", + " 2002 10174.090397\n", + " 2007 12473.026870\n", + "Europe 1952 5661.057435\n", + " 1957 6963.012816\n", + " 1962 8365.486814\n", + " 1967 10143.823757\n", + " 1972 12479.575246\n", + " 1977 14283.979110\n", + " 1982 15617.896551\n", + " 1987 17214.310727\n", + " 1992 17061.568084\n", + " 1997 19076.781802\n", + " 2002 21711.732422\n", + " 2007 25054.481636\n", + "Oceania 1952 10298.085650\n", + " 1957 11598.522455\n", + " 1962 12696.452430\n", + " 1967 14495.021790\n", + " 1972 16417.333380\n", + " 1977 17283.957605\n", + " 1982 18554.709840\n", + " 1987 20448.040160\n", + " 1992 20894.045885\n", + " 1997 24024.175170\n", + " 2002 26938.778040\n", + " 2007 29810.188275" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#media por continente y año\n", + "(df.groupby(['continent','year'])[['gdp_cap']]\n", + " .mean()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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gdp_caplife_exp
continentyear
Africa19521252.57246639.135500
19571385.23606241.266346
19621598.07882543.319442
19672050.36380145.334538
19722339.61567447.450942
19772585.93850849.580423
19822481.59296051.592865
19872282.66899153.344788
19922281.81033353.629577
19972378.75955553.598269
20022599.38515953.325231
20073089.03260554.806038
Americas19524079.06255253.279840
19574616.04373355.960280
19624901.54187058.398760
19675668.25349660.410920
19726491.33413962.394920
19777352.00712664.391560
19827506.73708866.228840
19877793.40026168.090720
19928044.93440669.568360
19978889.30086371.150480
20029287.67710772.422040
200711003.03162573.608120
Asia19525195.48400446.314394
19575787.73294049.318544
19625729.36962551.563223
19675971.17337454.663640
19728187.46869957.319269
19777791.31402059.610556
19827434.13515762.617939
19877608.22650864.851182
19928639.69024866.537212
19979834.09329568.020515
200210174.09039769.233879
200712473.02687070.728485
Europe19525661.05743564.408500
19576963.01281666.703067
19628365.48681468.539233
196710143.82375769.737600
197212479.57524670.775033
197714283.97911071.937767
198215617.89655172.806400
198717214.31072773.642167
199217061.56808474.440100
199719076.78180275.505167
200221711.73242276.700600
200725054.48163677.648600
Oceania195210298.08565069.255000
195711598.52245570.295000
196212696.45243071.085000
196714495.02179071.310000
197216417.33338071.910000
197717283.95760572.855000
198218554.70984074.290000
198720448.04016075.320000
199220894.04588576.945000
199724024.17517078.190000
200226938.77804079.740000
200729810.18827580.719500
\n", + "
" + ], + "text/plain": [ + " gdp_cap life_exp\n", + "continent year \n", + "Africa 1952 1252.572466 39.135500\n", + " 1957 1385.236062 41.266346\n", + " 1962 1598.078825 43.319442\n", + " 1967 2050.363801 45.334538\n", + " 1972 2339.615674 47.450942\n", + " 1977 2585.938508 49.580423\n", + " 1982 2481.592960 51.592865\n", + " 1987 2282.668991 53.344788\n", + " 1992 2281.810333 53.629577\n", + " 1997 2378.759555 53.598269\n", + " 2002 2599.385159 53.325231\n", + " 2007 3089.032605 54.806038\n", + "Americas 1952 4079.062552 53.279840\n", + " 1957 4616.043733 55.960280\n", + " 1962 4901.541870 58.398760\n", + " 1967 5668.253496 60.410920\n", + " 1972 6491.334139 62.394920\n", + " 1977 7352.007126 64.391560\n", + " 1982 7506.737088 66.228840\n", + " 1987 7793.400261 68.090720\n", + " 1992 8044.934406 69.568360\n", + " 1997 8889.300863 71.150480\n", + " 2002 9287.677107 72.422040\n", + " 2007 11003.031625 73.608120\n", + "Asia 1952 5195.484004 46.314394\n", + " 1957 5787.732940 49.318544\n", + " 1962 5729.369625 51.563223\n", + " 1967 5971.173374 54.663640\n", + " 1972 8187.468699 57.319269\n", + " 1977 7791.314020 59.610556\n", + " 1982 7434.135157 62.617939\n", + " 1987 7608.226508 64.851182\n", + " 1992 8639.690248 66.537212\n", + " 1997 9834.093295 68.020515\n", + " 2002 10174.090397 69.233879\n", + " 2007 12473.026870 70.728485\n", + "Europe 1952 5661.057435 64.408500\n", + " 1957 6963.012816 66.703067\n", + " 1962 8365.486814 68.539233\n", + " 1967 10143.823757 69.737600\n", + " 1972 12479.575246 70.775033\n", + " 1977 14283.979110 71.937767\n", + " 1982 15617.896551 72.806400\n", + " 1987 17214.310727 73.642167\n", + " 1992 17061.568084 74.440100\n", + " 1997 19076.781802 75.505167\n", + " 2002 21711.732422 76.700600\n", + " 2007 25054.481636 77.648600\n", + "Oceania 1952 10298.085650 69.255000\n", + " 1957 11598.522455 70.295000\n", + " 1962 12696.452430 71.085000\n", + " 1967 14495.021790 71.310000\n", + " 1972 16417.333380 71.910000\n", + " 1977 17283.957605 72.855000\n", + " 1982 18554.709840 74.290000\n", + " 1987 20448.040160 75.320000\n", + " 1992 20894.045885 76.945000\n", + " 1997 24024.175170 78.190000\n", + " 2002 26938.778040 79.740000\n", + " 2007 29810.188275 80.719500" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#media del gdp y life_exp por continente y año\n", + "(df.groupby(['continent','year'])[['gdp_cap','life_exp']]\n", + " .mean()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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year195219571962196719721977198219871992199720022007
continent
Africa1252.5724661385.2360621598.0788252050.3638012339.6156742585.9385082481.5929602282.6689912281.8103332378.7595552599.3851593089.032605
Americas4079.0625524616.0437334901.5418705668.2534966491.3341397352.0071267506.7370887793.4002618044.9344068889.3008639287.67710711003.031625
Asia5195.4840045787.7329405729.3696255971.1733748187.4686997791.3140207434.1351577608.2265088639.6902489834.09329510174.09039712473.026870
Europe5661.0574356963.0128168365.48681410143.82375712479.57524614283.97911015617.89655117214.31072717061.56808419076.78180221711.73242225054.481636
Oceania10298.08565011598.52245512696.45243014495.02179016417.33338017283.95760518554.70984020448.04016020894.04588524024.17517026938.77804029810.188275
\n", + "
" + ], + "text/plain": [ + "year 1952 1957 1962 1967 \\\n", + "continent \n", + "Africa 1252.572466 1385.236062 1598.078825 2050.363801 \n", + "Americas 4079.062552 4616.043733 4901.541870 5668.253496 \n", + "Asia 5195.484004 5787.732940 5729.369625 5971.173374 \n", + "Europe 5661.057435 6963.012816 8365.486814 10143.823757 \n", + "Oceania 10298.085650 11598.522455 12696.452430 14495.021790 \n", + "\n", + "year 1972 1977 1982 1987 \\\n", + "continent \n", + "Africa 2339.615674 2585.938508 2481.592960 2282.668991 \n", + "Americas 6491.334139 7352.007126 7506.737088 7793.400261 \n", + "Asia 8187.468699 7791.314020 7434.135157 7608.226508 \n", + "Europe 12479.575246 14283.979110 15617.896551 17214.310727 \n", + "Oceania 16417.333380 17283.957605 18554.709840 20448.040160 \n", + "\n", + "year 1992 1997 2002 2007 \n", + "continent \n", + "Africa 2281.810333 2378.759555 2599.385159 3089.032605 \n", + "Americas 8044.934406 8889.300863 9287.677107 11003.031625 \n", + "Asia 8639.690248 9834.093295 10174.090397 12473.026870 \n", + "Europe 17061.568084 19076.781802 21711.732422 25054.481636 \n", + "Oceania 20894.045885 24024.175170 26938.778040 29810.188275 " + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pivot tables (tablas dinamicas == Excel)\n", + "pt = df.pivot_table(values='gdp_cap',\n", + " index='continent',\n", + " columns='year',\n", + " aggfunc='mean'\n", + " )\n", + "pt" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
year195219571962196719721977198219871992199720022007
continent            
Africa1252.571385.241598.082050.362339.622585.942481.592282.672281.812378.762599.393089.03
Americas4079.064616.044901.545668.256491.337352.017506.747793.408044.938889.309287.6811003.03
Asia5195.485787.735729.375971.178187.477791.317434.147608.238639.699834.0910174.0912473.03
Europe5661.066963.018365.4910143.8212479.5814283.9815617.9017214.3117061.5719076.7821711.7325054.48
Oceania10298.0911598.5212696.4514495.0216417.3317283.9618554.7120448.0420894.0524024.1826938.7829810.19
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year195219571962196719721977198219871992199720022007
continent            
Africa1252.571385.241598.082050.362339.622585.942481.592282.672281.812378.762599.393089.03
Americas4079.064616.044901.545668.256491.337352.017506.747793.408044.938889.309287.6811003.03
Asia5195.485787.735729.375971.178187.477791.317434.147608.238639.699834.0910174.0912473.03
Europe5661.066963.018365.4910143.8212479.5814283.9815617.9017214.3117061.5719076.7821711.7325054.48
Oceania10298.0911598.5212696.4514495.0216417.3317283.9618554.7120448.0420894.0524024.1826938.7829810.19
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countryyearpopulationcontinentlife_expgdp_cap
0Afghanistan19528425333Asia28.801779.445314
1Afghanistan19579240934Asia30.332820.853030
2Afghanistan196210267083Asia31.997853.100710
3Afghanistan196711537966Asia34.020836.197138
4Afghanistan197213079460Asia36.088739.981106
.....................
1699Zimbabwe19879216418Africa62.351706.157306
1700Zimbabwe199210704340Africa60.377693.420786
1701Zimbabwe199711404948Africa46.809792.449960
1702Zimbabwe200211926563Africa39.989672.038623
1703Zimbabwe200712311143Africa43.487469.709298
\n", + "

1704 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " country year population continent life_exp gdp_cap\n", + "0 Afghanistan 1952 8425333 Asia 28.801 779.445314\n", + "1 Afghanistan 1957 9240934 Asia 30.332 820.853030\n", + "2 Afghanistan 1962 10267083 Asia 31.997 853.100710\n", + "3 Afghanistan 1967 11537966 Asia 34.020 836.197138\n", + "4 Afghanistan 1972 13079460 Asia 36.088 739.981106\n", + "... ... ... ... ... ... ...\n", + "1699 Zimbabwe 1987 9216418 Africa 62.351 706.157306\n", + "1700 Zimbabwe 1992 10704340 Africa 60.377 693.420786\n", + "1701 Zimbabwe 1997 11404948 Africa 46.809 792.449960\n", + "1702 Zimbabwe 2002 11926563 Africa 39.989 672.038623\n", + "1703 Zimbabwe 2007 12311143 Africa 43.487 469.709298\n", + "\n", + "[1704 rows x 6 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df=pd.read_csv('.\\datasets\\gapminder.csv') #archivo dentro de una carpeta\n", + "#df=pd.read_csv('gapminder.csv') #archivo al mismo nivel del notebook\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# importar la librería para graficar datos de pandas\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "country object\n", + "year int64\n", + "population int64\n", + "continent object\n", + "life_exp float64\n", + "gdp_cap float64\n", + "dtype: object" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# validar los tipos de datos\n", + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# histograma de una columna del dataframe\n", + "# df['gdp_cap'] = pd.to_numeric(df['gdp_cap'], errors='coerce') #convertir a numérico y forzar errores a NaN\n", + "df['gdp_cap'].hist(bins=15)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "(df.groupby('year')\n", + " .mean(numeric_only=True)\n", + " .plot()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([, ,\n", + " ], dtype=object)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# grafico de lineas de las columnas resultado de la agrupación por años con subplots\n", + "(df.groupby('year')\n", + " .mean(numeric_only=True)\n", + " .plot(subplots=True)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "population Axes(0.125,0.11;0.227941x0.77)\n", + "life_exp Axes(0.398529,0.11;0.227941x0.77)\n", + "gdp_cap Axes(0.672059,0.11;0.227941x0.77)\n", + "dtype: object" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# grafico de cajas (boxplots) de las columnas resultado de la agrupación por años\n", + "(df.groupby('year')\n", + " .mean(numeric_only=True)\n", + " .plot(subplots=True,kind='box')\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# grafico de distribución de las columnas resultado de la agrupación por años, solo para life_exp\n", + "(df.groupby('year')\n", + " .mean(numeric_only=True)['life_exp']\n", + " .plot(kind='density')\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([, ], dtype=object)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# grafico de distribución de las columnas resultado de la agrupación por años, para life_exp y gdp_cap\n", + "(df.groupby('year')\n", + " .mean(numeric_only=True)[['life_exp','gdp_cap']]\n", + " .plot(subplots=True,\n", + " kind='density',\n", + " sharex=False)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# grafico de barras\n", + "(df.groupby('continent')\n", + " .mean(numeric_only=True)['gdp_cap']\n", + " .plot(kind='bar')\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# otro gráfico de barras con título\n", + "(df.groupby('year')['gdp_cap']\n", + " .mean(numeric_only=True)\n", + " .plot(kind='bar',\n", + " title='Valor Medio GDP per cap')\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#scatter plot de dos columnas\n", + "(df[df['year'] == 2007]\n", + " .plot(x='gdp_cap',\n", + " y='life_exp',\n", + " kind='scatter'\n", + " )\n", + ")\n", + "plt.xlabel('gdp per capita')\n", + "plt.ylabel('life expentancy')\n", + "plt.title('Countries around the world')\n", + "#plt.savefig('pandas-scatter.png') #guardar al mismo nivel del notebook\n", + "plt.savefig('.\\outputs\\pandas-scatter.png') #guardar al mismo nivel del notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# scatter plot con más opciones \n", + "(df[df['year']==2007]\n", + " .plot(x='gdp_cap',\n", + " y='life_exp',\n", + " kind='scatter',\n", + " s='population',\n", + " sizes=(10,100),\n", + " alpha=0.5\n", + " )\n", + ")\n", + "plt.xlabel('gdp per capita')\n", + "plt.ylabel('life expentancy')\n", + "plt.title('Countries around the world')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# con dos series\n", + "# primera serie con scatter plot año 2007\n", + "plt.scatter(df[df['year']==2007]['gdp_cap'],\n", + " df[df['year']==2007]['life_exp'],\n", + " s=df[df['year']==2007]['population']/1e6,\n", + " alpha=0.5)\n", + "# segunda serie con scatter plot año 1952\n", + "plt.scatter(df[df['year']==1952]['gdp_cap'],\n", + " df[df['year']==1952]['life_exp'],\n", + " s=df[df['year']==1952]['population']/1e6,\n", + " alpha=0.5)\n", + "# Editar la gráfica\n", + "plt.legend([\"2007\", \"1952\"])\n", + "plt.xlabel('gdp per cap')\n", + "plt.ylabel('life expectancy')\n", + "plt.xscale('log')\n", + "plt.title('Countries (size = population)')\n", + "plt.savefig('.\\outputs\\pandas-scatter-final.png',dpi=500) #guardar con resolucion de grafica\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# librería seaborn\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# scatter plot con seaborn\n", + "sns.relplot(x=\"gdp_cap\",\n", + " y=\"life_exp\",\n", + " hue='continent',\n", + " size=\"population\",\n", + " sizes=(50,500),\n", + " data=df[df['year'] == 2007]\n", + " )\n", + "# hue: separar los datos en N categorías, ejemplo por continente\n", + "# size: tamaño de la población\n", + "plt.savefig('.\\outputs\\pandas-seaborn-scatter.png')" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# scatter plot con seaborn\n", + "sns.relplot(x=\"gdp_cap\",\n", + " y=\"life_exp\",\n", + " hue='continent',\n", + " size=\"population\",\n", + " sizes=(50,500),\n", + " col='year',\n", + " data=df[df['year'] > 2000]\n", + " )\n", + "# hue: separar los datos en N categorías, ejemplo por continente\n", + "# size: tamaño de la población\n", + "plt.savefig('.\\outputs\\pandas-seaborn-scatter-2.png')" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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year195219571962196719721977198219871992199720022007
continent
Africa1252.5724661385.2360621598.0788252050.3638012339.6156742585.9385082481.5929602282.6689912281.8103332378.7595552599.3851593089.032605
Americas4079.0625524616.0437334901.5418705668.2534966491.3341397352.0071267506.7370887793.4002618044.9344068889.3008639287.67710711003.031625
Asia5195.4840045787.7329405729.3696255971.1733748187.4686997791.3140207434.1351577608.2265088639.6902489834.09329510174.09039712473.026870
Europe5661.0574356963.0128168365.48681410143.82375712479.57524614283.97911015617.89655117214.31072717061.56808419076.78180221711.73242225054.481636
Oceania10298.08565011598.52245512696.45243014495.02179016417.33338017283.95760518554.70984020448.04016020894.04588524024.17517026938.77804029810.188275
\n", + "
" + ], + "text/plain": [ + "year 1952 1957 1962 1967 \\\n", + "continent \n", + "Africa 1252.572466 1385.236062 1598.078825 2050.363801 \n", + "Americas 4079.062552 4616.043733 4901.541870 5668.253496 \n", + "Asia 5195.484004 5787.732940 5729.369625 5971.173374 \n", + "Europe 5661.057435 6963.012816 8365.486814 10143.823757 \n", + "Oceania 10298.085650 11598.522455 12696.452430 14495.021790 \n", + "\n", + "year 1972 1977 1982 1987 \\\n", + "continent \n", + "Africa 2339.615674 2585.938508 2481.592960 2282.668991 \n", + "Americas 6491.334139 7352.007126 7506.737088 7793.400261 \n", + "Asia 8187.468699 7791.314020 7434.135157 7608.226508 \n", + "Europe 12479.575246 14283.979110 15617.896551 17214.310727 \n", + "Oceania 16417.333380 17283.957605 18554.709840 20448.040160 \n", + "\n", + "year 1992 1997 2002 2007 \n", + "continent \n", + "Africa 2281.810333 2378.759555 2599.385159 3089.032605 \n", + "Americas 8044.934406 8889.300863 9287.677107 11003.031625 \n", + "Asia 8639.690248 9834.093295 10174.090397 12473.026870 \n", + "Europe 17061.568084 19076.781802 21711.732422 25054.481636 \n", + "Oceania 20894.045885 24024.175170 26938.778040 29810.188275 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'GDP per capita')" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# seaborn heatmap\n", + "pt = df.pivot_table(values='gdp_cap',\n", + " index='continent',\n", + " columns='year',\n", + " aggfunc='mean'\n", + " )\n", + "display(pt)\n", + "f, ax = plt.subplots(figsize=(9, 6)) #tamaño de la gráfica\n", + "sns.heatmap(pt,\n", + " ax=ax,\n", + " cmap=\"YlGnBu\"\n", + " )\n", + "# agregar título\n", + "ax.set_title('GDP per capita')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hovertemplate": "%{hovertext}

continent=Asia
gdp_cap=%{x}
life_exp=%{y}
population=%{marker.size}", + "hovertext": [ + "Afghanistan", + "Bahrain", + "Bangladesh", + "Cambodia", + "China", + "Hong Kong, China", + "India", + "Indonesia", + "Iran", + "Iraq", + "Israel", + "Japan", + "Jordan", + "Korea, Dem. Rep.", + "Korea, Rep.", + "Kuwait", + "Lebanon", + "Malaysia", + "Mongolia", + "Myanmar", + "Nepal", + "Oman", + "Pakistan", + "Philippines", + "Saudi Arabia", + "Singapore", + "Sri Lanka", + "Syria", + "Taiwan", + "Thailand", + "Vietnam", + "West Bank and Gaza", + "Yemen, Rep." + ], + "legendgroup": "Asia", + "marker": { + "color": "#636efa", + "opacity": 0.5, + "size": [ + 31889923, + 708573, + 150448339, + 14131858, + 1318683096, + 6980412, + 1110396331, + 223547000, + 69453570, + 27499638, + 6426679, + 127467972, + 6053193, + 23301725, + 49044790, + 2505559, + 3921278, + 24821286, + 2874127, + 47761980, + 28901790, + 3204897, + 169270617, + 91077287, + 27601038, + 4553009, + 20378239, + 19314747, + 23174294, + 65068149, + 85262356, + 4018332, + 22211743 + ], + "sizemode": "area", + "sizeref": 1465203.44, + "symbol": "circle" + }, + "mode": "markers", + "name": "Asia", + "orientation": "v", + "showlegend": true, + "type": "scatter", + "x": [ + 974.5803384, + 29796.04834, + 1391.253792, + 1713.778686, + 4959.114854, + 39724.97867, + 2452.210407, + 3540.651564, + 11605.71449, + 4471.061906, + 25523.2771, + 31656.06806, + 4519.461171, + 1593.06548, + 23348.13973, + 47306.98978, + 10461.05868, + 12451.6558, + 3095.772271, + 944, + 1091.359778, + 22316.19287, + 2605.94758, + 3190.481016, + 21654.83194, + 47143.17964, + 3970.095407, + 4184.548089, + 28718.27684, + 7458.396327, + 2441.576404, + 3025.349798, + 2280.769906 + ], + "xaxis": "x", + "y": [ + 43.828, + 75.635, + 64.062, + 59.723, + 72.961, + 82.208, + 64.698, + 70.65, + 70.964, + 59.545, + 80.745, + 82.603, + 72.535, + 67.297, + 78.623, + 77.588, + 71.993, + 74.241, + 66.803, + 62.069, + 63.785, + 75.64, + 65.483, + 71.688, + 72.777, + 79.972, + 72.396, + 74.143, + 78.4, + 70.616, + 74.249, + 73.422, + 62.698 + ], + "yaxis": "y" + }, + { + "hovertemplate": "%{hovertext}

continent=Europe
gdp_cap=%{x}
life_exp=%{y}
population=%{marker.size}", + "hovertext": [ + "Albania", + "Austria", + "Belgium", + "Bosnia and Herzegovina", + "Bulgaria", + "Croatia", + "Czech Republic", + "Denmark", + "Finland", + "France", + "Germany", + "Greece", + "Hungary", + "Iceland", + "Ireland", + "Italy", + "Montenegro", + "Netherlands", + "Norway", + "Poland", + "Portugal", + "Romania", + "Serbia", + "Slovak Republic", + "Slovenia", + "Spain", + "Sweden", + "Switzerland", + "Turkey", + "United Kingdom" + ], + "legendgroup": "Europe", + "marker": { + "color": "#EF553B", + "opacity": 0.5, + "size": [ + 3600523, + 8199783, + 10392226, + 4552198, + 7322858, + 4493312, + 10228744, + 5468120, + 5238460, + 61083916, + 82400996, + 10706290, + 9956108, + 301931, + 4109086, + 58147733, + 684736, + 16570613, + 4627926, + 38518241, + 10642836, + 22276056, + 10150265, + 5447502, + 2009245, + 40448191, + 9031088, + 7554661, + 71158647, + 60776238 + ], + "sizemode": "area", + "sizeref": 1465203.44, + "symbol": "circle" + }, + "mode": "markers", + "name": "Europe", + "orientation": "v", + "showlegend": true, + "type": "scatter", + "x": [ + 5937.029526, + 36126.4927, + 33692.60508, + 7446.298803, + 10680.79282, + 14619.22272, + 22833.30851, + 35278.41874, + 33207.0844, + 30470.0167, + 32170.37442, + 27538.41188, + 18008.94444, + 36180.78919, + 40675.99635, + 28569.7197, + 9253.896111, + 36797.93332, + 49357.19017, + 15389.92468, + 20509.64777, + 10808.47561, + 9786.534714, + 18678.31435, + 25768.25759, + 28821.0637, + 33859.74835, + 37506.41907, + 8458.276384, + 33203.26128 + ], + "xaxis": "x", + "y": [ + 76.423, + 79.829, + 79.441, + 74.852, + 73.005, + 75.748, + 76.486, + 78.332, + 79.313, + 80.657, + 79.406, + 79.483, + 73.338, + 81.757, + 78.885, + 80.546, + 74.543, + 79.762, + 80.196, + 75.563, + 78.098, + 72.476, + 74.002, + 74.663, + 77.926, + 80.941, + 80.884, + 81.701, + 71.777, + 79.425 + ], + "yaxis": "y" + }, + { + "hovertemplate": "%{hovertext}

continent=Africa
gdp_cap=%{x}
life_exp=%{y}
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"fig.update_layout(legend_title_text='Continent')\n", + "fig.update_xaxes(type='log')\n", + "fig.update_layout(title='Countries (size = population)', xaxis_title='gdp per cap', yaxis_title='life expectancy')\n", + "fig.show()\n", + "# exportar a html\n", + "fig.write_html(\".\\outputs\\pandas-plotly-scatter.html\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.7 ('base')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + }, + "vscode": { + "interpreter": { + "hash": "46a03d00e8bf03b81df85e7224fff2d455c2e10c7ddc5145f710206829265f5a" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/04-Intro2Python-bucles.ipynb b/04-Intro2Python-bucles.ipynb new file mode 100644 index 0000000..5b6765c --- /dev/null +++ b/04-Intro2Python-bucles.ipynb @@ -0,0 +1,432 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Decisión: If" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "slideshow": { + "slide_type": "subslide" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Es cierto\n", + "Valores de las variables: 9.2 , 123\n", + "Las variables x e y no son iguales\n", + "Las variables no son iguales\n" + ] + } + ], + "source": [ + "#if básico\n", + "if (7 > 3):\n", + " print(\"Es cierto\")\n", + "\n", + "y = 123\n", + "x = 9.2\n", + "\n", + "print(\"Valores de las variables: \",x,\",\",y)\n", + "\n", + "#If con else\n", + "if (x == y):\n", + " print(\"Las variables son iguales\")\n", + "else:\n", + " print(\"Las variables x e y no son iguales\")\n", + " \n", + "#Ifs anidados:\n", + "if (x != y):\n", + " print(\"Las variables no son iguales\")\n", + "elif (x>y):\n", + " print(\"La variables x es mayor que y\")\n", + "else:\n", + " print(\"Otros casos\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Bucles" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "slideshow": { + "slide_type": "subslide" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "2\n", + "3\n", + "4\n", + "5\n", + "6\n", + "9\n", + "8\n", + "5\n", + "Queremos repetir un bucle 7 veces\n", + "0 --> 2\n", + "1 --> 4\n", + "2 --> 6\n", + "3 --> 8\n", + "4 --> 10\n", + "5 --> 12\n", + "6 --> 14\n", + "117\n" + ] + } + ], + "source": [ + "# While\n", + "a = 1\n", + "while (a < 7):\n", + " print(a)\n", + " a = a + 1\n", + " \n", + "# Bucles for, muy interesantes en Python\n", + "for i in [9,8,5]:\n", + " print(i)\n", + "\n", + "print(\"Queremos repetir un bucle 7 veces\")\n", + "a = 0\n", + "for i in range(7):\n", + " a = a + 2\n", + " print(i,\"-->\",a)\n", + " \n", + "suma = 0\n", + "for i in range(3,16): # del 3 al 15 de uno en uno, el último valor nunca se alcanza\n", + " suma = suma + i\n", + "print(suma)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Comprehensions" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ejemplo de list comprehension\n", + "lista = [i for i in range(3,16)]\n", + "lista" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[4, 6, 8, 10, 12, 14]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ejemplo de list comprehension con condición\n", + "lista = [i for i in range(3,16) if i%2==0]\n", + "lista" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'n4': 16, 'n6': 36, 'n8': 64, 'n10': 100, 'n12': 144, 'n14': 196}" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ejemplo de diccionario comprehension con condición\n", + "diccionario = {('n'+str(i)):i**2 for i in range(3,16) if i%2==0}\n", + "diccionario" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Funciones" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "slideshow": { + "slide_type": "subslide" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Suma de los primeros 5 números enteros vale 15\n", + "Suma de los primeros 20 números enteros vale 210\n", + "El valor de la suma de los 25 primeros enteros es 325\n", + "\n" + ] + } + ], + "source": [ + "#### Las funciones se definen usando \"def\" y devuelven el valor dado por \"return\"\n", + "def suma(limite): \n", + " suma = 0\n", + " for i in range(1,limite+1): \n", + " suma = suma + i\n", + " return(suma) \n", + "\n", + "print(\"Suma de los primeros 5 números enteros vale\",suma(5))\n", + "print(\"Suma de los primeros 20 números enteros vale\",suma(20))\n", + "\n", + "valor_suma = 0\n", + "while (valor_suma < 20):\n", + " num_enteros = int(input(\"¿Cuántos de los primeros enteros quieres que sume? \"))\n", + " valor_suma = suma(num_enteros)\n", + " print(\"El valor de la suma de los\",num_enteros,\"primeros enteros es\",valor_suma)\n", + " print()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "1\n" + ] + } + ], + "source": [ + "def resta(x,y):\n", + " return x-y\n", + "\n", + "print(resta(4,3))\n", + "print(resta(y=3,x=4))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Función Lambda" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ejemplo de funcion lambda\n", + "resta = lambda x,y: x-y\n", + "resta(4,3)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ejemplo de función con parámetros por defecto usando lambda\n", + "resta = lambda x=0,y=0: x-y\n", + "resta(4)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ejemplo de función lambda con list comprehension\n", + "lista = [resta(i,1) for i in range(3,16)]\n", + "lista" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ejemplo de función lambda dentro del list comprehension\n", + "lista = [(lambda x: x-1)(i) for i in range(3,16)]\n", + "lista\n" + ] + } + ], + "metadata": { + "celltoolbar": "Slideshow", + "kernelspec": { + "display_name": "Python 3.9.7 ('base')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + }, + "rise": { + "enable_chalkboard": true + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + }, + "vscode": { + "interpreter": { + "hash": "46a03d00e8bf03b81df85e7224fff2d455c2e10c7ddc5145f710206829265f5a" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/05-Intro2Python-ExtraMaterial1.ipynb b/05-Intro2Python-ExtraMaterial1.ipynb new file mode 100644 index 0000000..8459cce --- /dev/null +++ b/05-Intro2Python-ExtraMaterial1.ipynb @@ -0,0 +1,893 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "# import packages\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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MTU (CET/CEST)Day-ahead Price [EUR/MWh]CurrencyBZN|ES
001.01.2022 00:00 - 01.01.2022 01:00145.86EURNaN
101.01.2022 01:00 - 01.01.2022 02:00114.90EURNaN
201.01.2022 02:00 - 01.01.2022 03:00113.87EURNaN
301.01.2022 03:00 - 01.01.2022 04:0097.80EURNaN
401.01.2022 04:00 - 01.01.2022 05:0097.80EURNaN
...............
875631.12.2022 19:00 - 31.12.2022 20:0018.11EURNaN
875731.12.2022 20:00 - 31.12.2022 21:007.60EURNaN
875831.12.2022 21:00 - 31.12.2022 22:003.69EURNaN
875931.12.2022 22:00 - 31.12.2022 23:001.88EURNaN
876031.12.2022 23:00 - 01.01.2023 00:000.10EURNaN
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8761 rows × 4 columns

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" + ], + "text/plain": [ + " MTU (CET/CEST) Day-ahead Price [EUR/MWh] Currency \\\n", + "0 01.01.2022 00:00 - 01.01.2022 01:00 145.86 EUR \n", + "1 01.01.2022 01:00 - 01.01.2022 02:00 114.90 EUR \n", + "2 01.01.2022 02:00 - 01.01.2022 03:00 113.87 EUR \n", + "3 01.01.2022 03:00 - 01.01.2022 04:00 97.80 EUR \n", + "4 01.01.2022 04:00 - 01.01.2022 05:00 97.80 EUR \n", + "... ... ... ... \n", + "8756 31.12.2022 19:00 - 31.12.2022 20:00 18.11 EUR \n", + "8757 31.12.2022 20:00 - 31.12.2022 21:00 7.60 EUR \n", + "8758 31.12.2022 21:00 - 31.12.2022 22:00 3.69 EUR \n", + "8759 31.12.2022 22:00 - 31.12.2022 23:00 1.88 EUR \n", + "8760 31.12.2022 23:00 - 01.01.2023 00:00 0.10 EUR \n", + "\n", + " BZN|ES \n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "8756 NaN \n", + "8757 NaN \n", + "8758 NaN \n", + "8759 NaN \n", + "8760 NaN \n", + "\n", + "[8761 rows x 4 columns]" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read in data from csv file Day-ahead Prices_ES.csv\n", + "data = pd.read_csv('./datasets/Day-ahead Prices_ES.csv')\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "MTU (CET/CEST) object\n", + "Day-ahead Price [EUR/MWh] float64\n", + "Currency object\n", + "BZN|ES float64\n", + "dtype: object" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check data types\n", + "data.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "MTU (CET/CEST) 0\n", + "Day-ahead Price [EUR/MWh] 1\n", + "Currency 1\n", + "BZN|ES 8761\n", + "dtype: int64" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.isnull().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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MTU (CET/CEST)Day-ahead Price [EUR/MWh]CurrencyBZN|ES
204227.03.2022 02:00 - 27.03.2022 03:00NaNNaNNaN
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" + ], + "text/plain": [ + " Price\n", + "Date \n", + "2022-01-01 00:00:00 145.86\n", + "2022-01-01 01:00:00 114.90\n", + "2022-01-01 02:00:00 113.87\n", + "2022-01-01 03:00:00 97.80\n", + "2022-01-01 04:00:00 97.80\n", + "... ...\n", + "2022-12-31 19:00:00 18.11\n", + "2022-12-31 20:00:00 7.60\n", + "2022-12-31 21:00:00 3.69\n", + "2022-12-31 22:00:00 1.88\n", + "2022-12-31 23:00:00 0.10\n", + "\n", + "[8761 rows x 1 columns]" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = clean_data(data)\n", + "#df.dtypes\n", + "#df.isnull().sum()\n", + "df\n", + "#data" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot the price column\n", + "df.Price.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# get the price for January 2022\n", + "df['2022-03-01':'2022-04-30'].Price.plot() # or df.loc['2022-01-01':'2022-01-31', 'Price']" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Price [EUR/MWh]')" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# dayly average price\n", + "df.resample('D').Price.mean().plot()\n", + "plt.ylabel('Price [EUR/MWh]')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Price [EUR/MWh]')" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# weekly average price\n", + "df.resample('W').Price.mean().plot()\n", + "plt.ylabel('Price [EUR/MWh]')" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Price [EUR/MWh]')" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# monthly average price\n", + "df.resample('M').Price.mean().plot()\n", + "plt.ylabel('Price [EUR/MWh]')" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# daily average price\n", + "df.resample('D').Price.mean().plot()\n", + "# 7-days rolling average price\n", + "df.resample('D').Price.mean().rolling(7, center=True).mean().plot(style='--', label='7 days rolling average')\n", + "plt.ylabel('Price [EUR/MWh]')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# groupby hour of the day\n", + "df.groupby(df.index.hour).Price.mean().plot()\n", + "plt.ylabel('Price [EUR/MWh]')\n", + "plt.xlabel('Hour of the day')\n", + "plt.xticks(range(0, 24, 2))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# groupby day of the week\n", + "df.groupby(df.index.dayofweek).Price.mean().plot()\n", + "plt.ylabel('Price [EUR/MWh]')\n", + "plt.xlabel('Day of the week')\n", + "plt.xticks(range(0, 7), ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# groupby dayoftheweek and month\n", + "df.groupby([df.index.dayofweek, df.index.month]).Price.mean().unstack().plot()\n", + "plt.ylabel('Price [EUR/MWh]')\n", + "plt.xlabel('Day of the week')\n", + "plt.xticks(range(0, 7), ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])\n", + "plt.legend(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct',\n", + " 'Nov', 'Dec'],\n", + " bbox_to_anchor=(1.05, 1),\n", + " loc='upper left',\n", + " title='Month'\n", + " )\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "by_weekday = df.groupby(df.index.dayofweek).mean()\n", + "weekend = np.where(df.index.weekday < 5, 'Weekday', 'Weekend')\n", + "by_hour = df.groupby([weekend, df.index.hour]).mean()\n", + "\n", + "fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n", + "by_hour.loc['Weekday'].plot(ax=ax[0], title='Weekdays',\n", + " xticks=range(0, 24, 2))\n", + "by_hour.loc['Weekend'].plot(ax=ax[1], title='Weekends',\n", + " xticks=range(0, 24, 2))\n", + "# set the min y limit to the min y-limit of both axes\n", + "ax[0].set_ylim(bottom=min(ax[0].get_ylim()[0], ax[1].get_ylim()[0]))\n", + "# set the max y limit to the max y-limit of both axes\n", + "ax[0].set_ylim(top=max(ax[0].get_ylim()[1], ax[1].get_ylim()[1]))\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "by_hour.loc['Weekday'].Price.plot(label='Weekdays', xticks=range(0, 24, 2))\n", + "by_hour.loc['Weekend'].Price.plot(label='Weekends', xticks=range(0, 24, 2))\n", + "plt.ylabel('Price [EUR/MWh]')\n", + "plt.legend()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/06-Intro2Python-ExtraMaterial2.ipynb b/06-Intro2Python-ExtraMaterial2.ipynb new file mode 100644 index 0000000..b63fc24 --- /dev/null +++ b/06-Intro2Python-ExtraMaterial2.ipynb @@ -0,0 +1,1056 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# import packages\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecompany
0JohnAMZN
1AliceGOOG
2BobNFLX
3SarahAMZN
4MichaelGOOG
5EmilyNFLX
6DavidAMZN
7OliviaGOOG
8DanielNFLX
9SophiaAMZN
\n", + "
" + ], + "text/plain": [ + " name company\n", + "0 John AMZN\n", + "1 Alice GOOG\n", + "2 Bob NFLX\n", + "3 Sarah AMZN\n", + "4 Michael GOOG\n", + "5 Emily NFLX\n", + "6 David AMZN\n", + "7 Olivia GOOG\n", + "8 Daniel NFLX\n", + "9 Sophia AMZN" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
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companylocation
0AMZNSeattle
1AAPLCupertino
2GOOGMountain View
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" + ], + "text/plain": [ + " company location\n", + "0 AMZN Seattle\n", + "1 AAPL Cupertino\n", + "2 GOOG Mountain View" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# read in data\n", + "df_employees = pd.read_csv('./datasets/employees.csv')\n", + "display(df_employees)\n", + "df_locations = pd.read_csv('./datasets/locations.csv')\n", + "display(df_locations)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecompanycompanylocation
0JohnAMZNAMZNSeattle
1AliceGOOGAAPLCupertino
2BobNFLXGOOGMountain View
3SarahAMZNNaNNaN
4MichaelGOOGNaNNaN
5EmilyNFLXNaNNaN
6DavidAMZNNaNNaN
7OliviaGOOGNaNNaN
8DanielNFLXNaNNaN
9SophiaAMZNNaNNaN
\n", + "
" + ], + "text/plain": [ + " name company company location\n", + "0 John AMZN AMZN Seattle\n", + "1 Alice GOOG AAPL Cupertino\n", + "2 Bob NFLX GOOG Mountain View\n", + "3 Sarah AMZN NaN NaN\n", + "4 Michael GOOG NaN NaN\n", + "5 Emily NFLX NaN NaN\n", + "6 David AMZN NaN NaN\n", + "7 Olivia GOOG NaN NaN\n", + "8 Daniel NFLX NaN NaN\n", + "9 Sophia AMZN NaN NaN" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# concatenate dataframes\n", + "df_employees_locations = pd.concat([df_employees, df_locations], axis=1)\n", + "df_employees_locations\n", + "# not so much what we want" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecompanylocation
0JohnAMZNSeattle
1SarahAMZNSeattle
2DavidAMZNSeattle
3SophiaAMZNSeattle
4AliceGOOGMountain View
5MichaelGOOGMountain View
6OliviaGOOGMountain View
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" + ], + "text/plain": [ + " name company location\n", + "0 John AMZN Seattle\n", + "1 Sarah AMZN Seattle\n", + "2 David AMZN Seattle\n", + "3 Sophia AMZN Seattle\n", + "4 Alice GOOG Mountain View\n", + "5 Michael GOOG Mountain View\n", + "6 Olivia GOOG Mountain View" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# merge dataframes\n", + "# 1. inner join (default) - only rows that match in both dataframes\n", + "df_merged = pd.merge(df_employees,\n", + " df_locations,\n", + " on='company',\n", + " )\n", + "df_merged" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecompanylocation
0JohnAMZNSeattle
1SarahAMZNSeattle
2DavidAMZNSeattle
3SophiaAMZNSeattle
4AliceGOOGMountain View
5MichaelGOOGMountain View
6OliviaGOOGMountain View
7BobNFLXNaN
8EmilyNFLXNaN
9DanielNFLXNaN
10NaNAAPLCupertino
\n", + "
" + ], + "text/plain": [ + " name company location\n", + "0 John AMZN Seattle\n", + "1 Sarah AMZN Seattle\n", + "2 David AMZN Seattle\n", + "3 Sophia AMZN Seattle\n", + "4 Alice GOOG Mountain View\n", + "5 Michael GOOG Mountain View\n", + "6 Olivia GOOG Mountain View\n", + "7 Bob NFLX NaN\n", + "8 Emily NFLX NaN\n", + "9 Daniel NFLX NaN\n", + "10 NaN AAPL Cupertino" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 2. outer join - all rows from both dataframes\n", + "df_merged = pd.merge(df_employees,\n", + " df_locations,\n", + " on='company',\n", + " how='outer'\n", + " )\n", + "df_merged" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecompanylocation
0JohnAMZNSeattle
1AliceGOOGMountain View
2BobNFLXNaN
3SarahAMZNSeattle
4MichaelGOOGMountain View
5EmilyNFLXNaN
6DavidAMZNSeattle
7OliviaGOOGMountain View
8DanielNFLXNaN
9SophiaAMZNSeattle
\n", + "
" + ], + "text/plain": [ + " name company location\n", + "0 John AMZN Seattle\n", + "1 Alice GOOG Mountain View\n", + "2 Bob NFLX NaN\n", + "3 Sarah AMZN Seattle\n", + "4 Michael GOOG Mountain View\n", + "5 Emily NFLX NaN\n", + "6 David AMZN Seattle\n", + "7 Olivia GOOG Mountain View\n", + "8 Daniel NFLX NaN\n", + "9 Sophia AMZN Seattle" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 3. left join - all rows in left dataframe, only rows that match in right dataframe\n", + "df_merged = pd.merge(df_employees,\n", + " df_locations,\n", + " on='company',\n", + " how='left'\n", + " )\n", + "df_merged" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecompanylocation
0JohnAMZNSeattle
1SarahAMZNSeattle
2DavidAMZNSeattle
3SophiaAMZNSeattle
4NaNAAPLCupertino
5AliceGOOGMountain View
6MichaelGOOGMountain View
7OliviaGOOGMountain View
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" + ], + "text/plain": [ + " name company location\n", + "0 John AMZN Seattle\n", + "1 Sarah AMZN Seattle\n", + "2 David AMZN Seattle\n", + "3 Sophia AMZN Seattle\n", + "4 NaN AAPL Cupertino\n", + "5 Alice GOOG Mountain View\n", + "6 Michael GOOG Mountain View\n", + "7 Olivia GOOG Mountain View" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 3. right join - all rows in right dataframe, only rows that match in left dataframe\n", + "df_merged = pd.merge(df_employees,\n", + " df_locations,\n", + " on='company',\n", + " how='right'\n", + " )\n", + "df_merged" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namecompanylocation_merge
0JohnAMZNSeattleboth
1SarahAMZNSeattleboth
2DavidAMZNSeattleboth
3SophiaAMZNSeattleboth
4AliceGOOGMountain Viewboth
5MichaelGOOGMountain Viewboth
6OliviaGOOGMountain Viewboth
7BobNFLXNaNleft_only
8EmilyNFLXNaNleft_only
9DanielNFLXNaNleft_only
10NaNAAPLCupertinoright_only
\n", + "
" + ], + "text/plain": [ + " name company location _merge\n", + "0 John AMZN Seattle both\n", + "1 Sarah AMZN Seattle both\n", + "2 David AMZN Seattle both\n", + "3 Sophia AMZN Seattle both\n", + "4 Alice GOOG Mountain View both\n", + "5 Michael GOOG Mountain View both\n", + "6 Olivia GOOG Mountain View both\n", + "7 Bob NFLX NaN left_only\n", + "8 Emily NFLX NaN left_only\n", + "9 Daniel NFLX NaN left_only\n", + "10 NaN AAPL Cupertino right_only" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# join indicator - tells you where the rows come from\n", + "df_merged = pd.merge(df_employees,\n", + " df_locations,\n", + " on='company',\n", + " how='outer',\n", + " indicator=True\n", + " )\n", + "df_merged" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namecompanylocation
0JohnAMZNSeattle
1SarahAMZNSeattle
2DavidAMZNSeattle
3SophiaAMZNSeattle
4AliceGOOGMountain View
5MichaelGOOGMountain View
6OliviaGOOGMountain View
\n", + "
" + ], + "text/plain": [ + " name company location\n", + "0 John AMZN Seattle\n", + "1 Sarah AMZN Seattle\n", + "2 David AMZN Seattle\n", + "3 Sophia AMZN Seattle\n", + "4 Alice GOOG Mountain View\n", + "5 Michael GOOG Mountain View\n", + "6 Olivia GOOG Mountain View" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# merge validation - make sure you have the same number of rows after merging\n", + "df_merged = pd.merge(df_employees,\n", + " df_locations,\n", + " on='company',\n", + " how='inner',\n", + " validate='m:1' # 1:1, 1:m, m:1, m:m\n", + " )\n", + "df_merged" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/07-Intro2Python-ExtraMaterial3.ipynb b/07-Intro2Python-ExtraMaterial3.ipynb new file mode 100644 index 0000000..f402fc4 --- /dev/null +++ b/07-Intro2Python-ExtraMaterial3.ipynb @@ -0,0 +1,10367 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import packages\n", + "import pandas as pd\n", + "import plotly.express as px" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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StateSub-CategoryCategoryCityCountryCustomer IDCustomer NameOrder DateOrder IDPostal Code...RegionRow IDSegmentShip DateShip ModeDiscountNumber of RecordsProfitQuantitySales
0TexasPaperOffice SuppliesHoustonUnited StatesDP-13000Darren Powers2013-01-03CA-2011-10380077095...Central7981Consumer2013-01-07Standard Class0.215.5512216.448
1IllinoisBindersOffice SuppliesNapervilleUnited StatesPO-19195Phillina Ober2013-01-04CA-2011-11232660540...Central742Home Office2013-01-08Standard Class0.81-5.487023.540
2IllinoisLabelsOffice SuppliesNapervilleUnited StatesPO-19195Phillina Ober2013-01-04CA-2011-11232660540...Central740Home Office2013-01-08Standard Class0.214.2717311.784
3IllinoisStorageOffice SuppliesNapervilleUnited StatesPO-19195Phillina Ober2013-01-04CA-2011-11232660540...Central741Home Office2013-01-08Standard Class0.21-64.77483272.736
4PennsylvaniaArtOffice SuppliesPhiladelphiaUnited StatesMB-18085Mick Brown2013-01-05CA-2011-14181719143...East1760Consumer2013-01-12Standard Class0.214.8840319.536
..................................................................
9989ColoradoFastenersOffice SuppliesLovelandUnited StatesJM-15580Jill Matthias2016-12-30CA-2014-15672080538...West5092Consumer2017-01-03Standard Class0.21-0.604833.024
9990CaliforniaBindersOffice SuppliesFairfieldUnited StatesEB-13975Erica Bern2016-12-30CA-2014-11542794533...West1297Corporate2017-01-03Standard Class0.214.5188213.904
9991CaliforniaBindersOffice SuppliesFairfieldUnited StatesEB-13975Erica Bern2016-12-30CA-2014-11542794533...West1298Corporate2017-01-03Standard Class0.216.4750220.720
9992New YorkPhonesTechnologyNew York CityUnited StatesPO-18865Patrick O'Donnell2016-12-30CA-2014-14325910009...East908Consumer2017-01-03Standard Class0.012.7279790.930
9993IndianaAppliancesOffice SuppliesColumbusUnited StatesCC-12430Chuck Clark2016-12-30CA-2014-12622147201...Central646Home Office2017-01-05Standard Class0.0156.51102209.300
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9994 rows × 22 columns

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" + ], + "text/plain": [ + " State Sub-Category Category City \\\n", + "0 Texas Paper Office Supplies Houston \n", + "1 Illinois Binders Office Supplies Naperville \n", + "2 Illinois Labels Office Supplies Naperville \n", + "3 Illinois Storage Office Supplies Naperville \n", + "4 Pennsylvania Art Office Supplies Philadelphia \n", + "... ... ... ... ... \n", + "9989 Colorado Fasteners Office Supplies Loveland \n", + "9990 California Binders Office Supplies Fairfield \n", + "9991 California Binders Office Supplies Fairfield \n", + "9992 New York Phones Technology New York City \n", + "9993 Indiana Appliances Office Supplies Columbus \n", + "\n", + " Country Customer ID Customer Name Order Date Order ID \\\n", + "0 United States DP-13000 Darren Powers 2013-01-03 CA-2011-103800 \n", + "1 United States PO-19195 Phillina Ober 2013-01-04 CA-2011-112326 \n", + "2 United States PO-19195 Phillina Ober 2013-01-04 CA-2011-112326 \n", + "3 United States PO-19195 Phillina Ober 2013-01-04 CA-2011-112326 \n", + "4 United States MB-18085 Mick Brown 2013-01-05 CA-2011-141817 \n", + "... ... ... ... ... ... \n", + "9989 United States JM-15580 Jill Matthias 2016-12-30 CA-2014-156720 \n", + "9990 United States EB-13975 Erica Bern 2016-12-30 CA-2014-115427 \n", + "9991 United States EB-13975 Erica Bern 2016-12-30 CA-2014-115427 \n", + "9992 United States PO-18865 Patrick O'Donnell 2016-12-30 CA-2014-143259 \n", + "9993 United States CC-12430 Chuck Clark 2016-12-30 CA-2014-126221 \n", + "\n", + " Postal Code ... Region Row ID Segment Ship Date \\\n", + "0 77095 ... Central 7981 Consumer 2013-01-07 \n", + "1 60540 ... Central 742 Home Office 2013-01-08 \n", + "2 60540 ... Central 740 Home Office 2013-01-08 \n", + "3 60540 ... Central 741 Home Office 2013-01-08 \n", + "4 19143 ... East 1760 Consumer 2013-01-12 \n", + "... ... ... ... ... ... ... \n", + "9989 80538 ... West 5092 Consumer 2017-01-03 \n", + "9990 94533 ... West 1297 Corporate 2017-01-03 \n", + "9991 94533 ... West 1298 Corporate 2017-01-03 \n", + "9992 10009 ... East 908 Consumer 2017-01-03 \n", + "9993 47201 ... Central 646 Home Office 2017-01-05 \n", + "\n", + " Ship Mode Discount Number of Records Profit Quantity Sales \n", + "0 Standard Class 0.2 1 5.5512 2 16.448 \n", + "1 Standard Class 0.8 1 -5.4870 2 3.540 \n", + "2 Standard Class 0.2 1 4.2717 3 11.784 \n", + "3 Standard Class 0.2 1 -64.7748 3 272.736 \n", + "4 Standard Class 0.2 1 4.8840 3 19.536 \n", + "... ... ... ... ... ... ... \n", + "9989 Standard Class 0.2 1 -0.6048 3 3.024 \n", + "9990 Standard Class 0.2 1 4.5188 2 13.904 \n", + "9991 Standard Class 0.2 1 6.4750 2 20.720 \n", + "9992 Standard Class 0.0 1 2.7279 7 90.930 \n", + "9993 Standard Class 0.0 1 56.5110 2 209.300 \n", + "\n", + "[9994 rows x 22 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the dataset\n", + "df = pd.read_excel('./datasets/store.xlsx')\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 9994 entries, 0 to 9993\n", + "Data columns (total 22 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 State 9994 non-null object \n", + " 1 Sub-Category 9994 non-null object \n", + " 2 Category 9994 non-null object \n", + " 3 City 9994 non-null object \n", + " 4 Country 9994 non-null object \n", + " 5 Customer ID 9994 non-null object \n", + " 6 Customer Name 9994 non-null object \n", + " 7 Order Date 9994 non-null datetime64[ns]\n", + " 8 Order ID 9994 non-null object \n", + " 9 Postal Code 9994 non-null int64 \n", + " 10 Product ID 9994 non-null object \n", + " 11 Product Name 9994 non-null object \n", + " 12 Region 9994 non-null object \n", + " 13 Row ID 9994 non-null int64 \n", + " 14 Segment 9994 non-null object \n", + " 15 Ship Date 9994 non-null datetime64[ns]\n", + " 16 Ship Mode 9994 non-null object \n", + " 17 Discount 9994 non-null float64 \n", + " 18 Number of Records 9994 non-null int64 \n", + " 19 Profit 9994 non-null float64 \n", + " 20 Quantity 9994 non-null int64 \n", + " 21 Sales 9994 non-null float64 \n", + "dtypes: datetime64[ns](2), float64(3), int64(4), object(13)\n", + "memory usage: 1.7+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "domain": { + "x": [ + 0, + 1 + ], + "y": [ + 0, + 1 + ] + }, + "hovertemplate": "Category=%{label}
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CategorySub-CategoryPostal CodeRow IDDiscountNumber of RecordsProfitQuantitySales
0FurnitureBookcases12771539115653548.14228-3472.5560868114879.9963
1FurnitureChairs349362293121503105.0061726590.16632356328449.1030
2FurnitureFurnishings518804304842624132.4095713059.1436356391705.1640
3FurnitureTables18607828157266483.35319-17725.48111241206965.5320
4Office SuppliesAppliances25250538240775477.6046618138.00541729107532.1610
5Office SuppliesArt43329658392010959.607966527.7870300027118.7920
6Office SuppliesBinders836263987633935567.00152330221.76335974203412.7330
7Office SuppliesEnvelopes13325731120790320.402546964.176790616476.4020
8Office SuppliesFasteners12506063101728717.80217949.51829143024.2800
9Office SuppliesLabels19552985181725425.003645546.2540140012486.3120
10Office SuppliesPaper762992216886090102.60137034053.5693517878479.2060
11Office SuppliesStorage46248720412664963.2084621278.82643158223843.6080
12Office SuppliesSupplies1063355899355414.60190-1189.099564746673.5380
13TechnologyAccessories44468434392808060.8077541936.63572976167380.3180
14TechnologyCopiers387347735566111.006855617.8249234149528.0300
15TechnologyMachines636466856142835.201153384.7569440189238.6310
16TechnologyPhones478971754395985137.4088944515.73063289330007.0540
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46.584908],\n", + " [-90.415429, 46.568478]]]}},\n", + " {'type': 'Feature',\n", + " 'id': 'WY',\n", + " 'properties': {'name': 'Wyoming'},\n", + " 'geometry': {'type': 'Polygon',\n", + " 'coordinates': [[[-109.080842, 45.002073],\n", + " [-105.91517, 45.002073],\n", + " [-104.058488, 44.996596],\n", + " [-104.053011, 43.002989],\n", + " [-104.053011, 41.003906],\n", + " [-105.728954, 40.998429],\n", + " [-107.919731, 41.003906],\n", + " [-109.04798, 40.998429],\n", + " [-111.047063, 40.998429],\n", + " [-111.047063, 42.000709],\n", + " [-111.047063, 44.476286],\n", + " [-111.05254, 45.002073],\n", + " [-109.080842, 45.002073]]]}}]}" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "# define the geojson variable to use in the map with the States in the U.S.\n", + "geojson = 'https://raw.githubusercontent.com/python-visualization/folium/master/examples/data/us-states.json'\n", + "\n", + "# como el geojson es un archivo json, podemos usar la librería requests para obtenerlo\n", + "response = requests.get(geojson)\n", + "data = response.json()\n", + "data\n", + "\n", + "# note que el geojson tiene una lista de diccionarios, donde cada diccionario tiene la información de un estado y usa el id del estado para identificarlo, no el nombre del estado" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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StatePostal CodeRow IDDiscountNumber of RecordsProfitQuantitySalesid
0Texas757476935085541364.64985-25729.35633724170188.0458TX
1Ohio205798362355994152.40469-16971.3766175978258.1360OH
2Pennsylvania111905652768523192.90587-15559.96032153116511.9140PA
3Illinois298737722571481191.90492-12607.8870184580166.1010IL
4North Carolina6994384121917770.60249-7490.912298355603.1640NC
5Colorado1461382879700257.60182-6527.857969332108.1180CO
6Tennessee6890574106814153.30183-5341.693668130661.8730TN
7Arizona19102126101987668.00224-3427.924686235282.0010AZ
8Florida126402251958255114.65383-3399.3017137989473.7080FL
9Oregon1207212565299635.80124-1190.470549917431.1500OR
10Wyoming8200158700.201100.196041603.1360WY
11West Virginia104012331750.304185.9216181209.8240WV
12North Dakota406721367960.007230.149730919.9100ND
13South Dakota686730488580.0012394.8283421315.5600SD
14Maine34725461980.008454.4862351270.5300ME
15Idaho17527091294271.8021826.7231644382.4860ID
16Kansas16037981253720.0024836.4435742914.3100KS
17District of Columbia200160179180.00101059.5893402865.0200None
18New Mexico32415561662512.20371157.11611514783.5220NM
19Iowa15377071421730.00301183.81191124579.7600IA
20New Hampshire938351356450.30271706.50281277292.5240NH
21South Carolina12300681940950.00421769.05661728481.7100SC
22Montana892376614381.00151833.3285565589.3520MT
23Nebraska25886142053840.00382037.09421367464.9300NE
24Louisiana29726491736250.00422196.10231569217.0300LA
25Vermont59488910490.00112244.9783508929.3700VT
26Utah44623681935253.20532546.533521911220.0560UT
27Mississippi20770232509030.00533172.976222110771.3400MS
28Nevada34763372235462.40393316.765916816729.1020NV
29Connecticut5310054444110.60823511.491828113384.3570CT
30Arkansas43393093045750.00604008.687124011678.1300AR
31Oklahoma48631203285490.00664853.956024719683.3900OK
32Alabama21956692438760.00615786.825325619510.6400AL
33Missouri42983623252460.00666436.210525222205.1500MO
34Massachusetts2682957088772.101356785.501649128634.4340MA
35Maryland22067405564230.601057031.178842023705.5230MD
36Rhode Island1628783053851.20567285.629319922627.9560RI
37Wisconsin58997045709810.001108401.800446332114.6100WI
38New Jersey10079346538550.601309772.913845435764.3120NJ
39Delaware18965045043700.60969977.374836727451.0690DE
40Minnesota49322243166450.008910823.187433129863.1500MN
41Kentucky57253366989210.0013911199.696652336591.7500KY
42Georgia56854808835900.0018416250.043370549095.8400GA
43Indiana69916027287700.0014918382.936357853555.3600IN
44Virginia512433512181370.0022418597.950489370636.7200VA
45Michigan1235610312001671.8025524463.187694676269.6140MI
46Washington49661687258445832.4050633402.65171883138641.2700WA
47New York11835721545209662.40112874038.54864224310876.2710NY
48California18438263910137449145.60200176381.38717667457687.6315CA
\n", + "
" + ], + "text/plain": [ + " State Postal Code Row ID Discount Number of Records \\\n", + "0 Texas 75747693 5085541 364.64 985 \n", + "1 Ohio 20579836 2355994 152.40 469 \n", + "2 Pennsylvania 11190565 2768523 192.90 587 \n", + "3 Illinois 29873772 2571481 191.90 492 \n", + "4 North Carolina 6994384 1219177 70.60 249 \n", + "5 Colorado 14613828 797002 57.60 182 \n", + "6 Tennessee 6890574 1068141 53.30 183 \n", + "7 Arizona 19102126 1019876 68.00 224 \n", + "8 Florida 12640225 1958255 114.65 383 \n", + "9 Oregon 12072125 652996 35.80 124 \n", + "10 Wyoming 82001 5870 0.20 1 \n", + "11 West Virginia 104012 33175 0.30 4 \n", + "12 North Dakota 406721 36796 0.00 7 \n", + "13 South Dakota 686730 48858 0.00 12 \n", + "14 Maine 34725 46198 0.00 8 \n", + "15 Idaho 1752709 129427 1.80 21 \n", + "16 Kansas 1603798 125372 0.00 24 \n", + "17 District of Columbia 200160 17918 0.00 10 \n", + "18 New Mexico 3241556 166251 2.20 37 \n", + "19 Iowa 1537707 142173 0.00 30 \n", + "20 New Hampshire 93835 135645 0.30 27 \n", + "21 South Carolina 1230068 194095 0.00 42 \n", + "22 Montana 892376 61438 1.00 15 \n", + "23 Nebraska 2588614 205384 0.00 38 \n", + "24 Louisiana 2972649 173625 0.00 42 \n", + "25 Vermont 59488 91049 0.00 11 \n", + "26 Utah 4462368 193525 3.20 53 \n", + "27 Mississippi 2077023 250903 0.00 53 \n", + "28 Nevada 3476337 223546 2.40 39 \n", + "29 Connecticut 531005 444411 0.60 82 \n", + "30 Arkansas 4339309 304575 0.00 60 \n", + "31 Oklahoma 4863120 328549 0.00 66 \n", + "32 Alabama 2195669 243876 0.00 61 \n", + "33 Missouri 4298362 325246 0.00 66 \n", + "34 Massachusetts 268295 708877 2.10 135 \n", + "35 Maryland 2206740 556423 0.60 105 \n", + "36 Rhode Island 162878 305385 1.20 56 \n", + "37 Wisconsin 5899704 570981 0.00 110 \n", + "38 New Jersey 1007934 653855 0.60 130 \n", + "39 Delaware 1896504 504370 0.60 96 \n", + "40 Minnesota 4932224 316645 0.00 89 \n", + "41 Kentucky 5725336 698921 0.00 139 \n", + "42 Georgia 5685480 883590 0.00 184 \n", + "43 Indiana 6991602 728770 0.00 149 \n", + "44 Virginia 5124335 1218137 0.00 224 \n", + "45 Michigan 12356103 1200167 1.80 255 \n", + "46 Washington 49661687 2584458 32.40 506 \n", + "47 New York 11835721 5452096 62.40 1128 \n", + "48 California 184382639 10137449 145.60 2001 \n", + "\n", + " Profit Quantity Sales id \n", + "0 -25729.3563 3724 170188.0458 TX \n", + "1 -16971.3766 1759 78258.1360 OH \n", + "2 -15559.9603 2153 116511.9140 PA \n", + "3 -12607.8870 1845 80166.1010 IL \n", + "4 -7490.9122 983 55603.1640 NC \n", + "5 -6527.8579 693 32108.1180 CO \n", + "6 -5341.6936 681 30661.8730 TN \n", + "7 -3427.9246 862 35282.0010 AZ \n", + "8 -3399.3017 1379 89473.7080 FL \n", + "9 -1190.4705 499 17431.1500 OR \n", + "10 100.1960 4 1603.1360 WY \n", + "11 185.9216 18 1209.8240 WV \n", + "12 230.1497 30 919.9100 ND \n", + "13 394.8283 42 1315.5600 SD \n", + "14 454.4862 35 1270.5300 ME \n", + "15 826.7231 64 4382.4860 ID \n", + "16 836.4435 74 2914.3100 KS \n", + "17 1059.5893 40 2865.0200 None \n", + "18 1157.1161 151 4783.5220 NM \n", + "19 1183.8119 112 4579.7600 IA \n", + "20 1706.5028 127 7292.5240 NH \n", + "21 1769.0566 172 8481.7100 SC \n", + "22 1833.3285 56 5589.3520 MT \n", + "23 2037.0942 136 7464.9300 NE \n", + "24 2196.1023 156 9217.0300 LA \n", + "25 2244.9783 50 8929.3700 VT \n", + "26 2546.5335 219 11220.0560 UT \n", + "27 3172.9762 221 10771.3400 MS \n", + "28 3316.7659 168 16729.1020 NV \n", + "29 3511.4918 281 13384.3570 CT \n", + "30 4008.6871 240 11678.1300 AR \n", + "31 4853.9560 247 19683.3900 OK \n", + "32 5786.8253 256 19510.6400 AL \n", + "33 6436.2105 252 22205.1500 MO \n", + "34 6785.5016 491 28634.4340 MA \n", + "35 7031.1788 420 23705.5230 MD \n", + "36 7285.6293 199 22627.9560 RI \n", + "37 8401.8004 463 32114.6100 WI \n", + "38 9772.9138 454 35764.3120 NJ \n", + "39 9977.3748 367 27451.0690 DE \n", + "40 10823.1874 331 29863.1500 MN \n", + "41 11199.6966 523 36591.7500 KY \n", + "42 16250.0433 705 49095.8400 GA \n", + "43 18382.9363 578 53555.3600 IN \n", + "44 18597.9504 893 70636.7200 VA \n", + "45 24463.1876 946 76269.6140 MI \n", + "46 33402.6517 1883 138641.2700 WA \n", + "47 74038.5486 4224 310876.2710 NY \n", + "48 76381.3871 7667 457687.6315 CA " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Entonces, hay que crear una columna en el dataframe que tenga el id del estado para que podamos hacer el merge con el geojson\n", + "df2['id'] = (df2['State']\n", + " .apply(lambda x: [item['id'] for item in data['features'] \n", + " if item['properties']['name'] == x][0]\n", + " if [item['id'] for item in data['features']\n", + " if item['properties']['name'] == x] else None)\n", + " )\n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "coloraxis": "coloraxis", + "geojson": 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"hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# create choropleth_mapbox\n", + "fig = px.choropleth_mapbox(df2,\n", + " geojson=geojson,\n", + " locations='id',\n", + " color='Profit',\n", + " color_continuous_scale='viridis', # https://plotly.com/python/builtin-colorscales/\n", + " mapbox_style='carto-positron',\n", + " zoom=3,\n", + " center={'lat': 37.0902, 'lon': -95.7129},\n", + " opacity=0.75,\n", + " )\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Geojson España:\n", + "\n", + "https://github.com/codeforgermany/click_that_hood/blob/main/public/data/spain-provinces.geojson" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data_output/gapminder_new.csv b/data_output/gapminder_new.csv new file mode 100644 index 0000000..419fe6e --- /dev/null +++ b/data_output/gapminder_new.csv @@ -0,0 +1,1705 @@ +,country,year,population,continent,life_exp,gdp_cap,total_GDP +0,Afghanistan,1952,8425333,Asia,28.801,779.4453145,6567086329.952229 +1,Afghanistan,1957,9240934,Asia,30.332,820.8530296,7585448670.233646 +2,Afghanistan,1962,10267083,Asia,31.997,853.10071,8758855796.92893 +3,Afghanistan,1967,11537966,Asia,34.02,836.1971382,9648014149.848902 +4,Afghanistan,1972,13079460,Asia,36.088,739.9811058,9678553274.066868 +5,Afghanistan,1977,14880372,Asia,38.438,786.11336,11697659230.96992 +6,Afghanistan,1982,12881816,Asia,39.854,978.0114388,12598563400.516861 +7,Afghanistan,1987,13867957,Asia,40.822,852.3959448,11820990309.460773 +8,Afghanistan,1992,16317921,Asia,41.674,649.3413952,10595901588.90338 +9,Afghanistan,1997,22227415,Asia,41.763,635.341351,14121995875.337666 +10,Afghanistan,2002,25268405,Asia,42.129,726.7340548,18363410423.978592 +11,Afghanistan,2007,31889923,Asia,43.828,974.5803384,31079291948.889942 +12,Albania,1952,1282697,Europe,55.23,1601.056136,2053669902.478792 +13,Albania,1957,1476505,Europe,59.28,1942.284244,2867792397.68722 +14,Albania,1962,1728137,Europe,64.82,2312.888958,3996988985.211246 +15,Albania,1967,1984060,Europe,66.22,2760.196931,5476396322.91986 +16,Albania,1972,2263554,Europe,67.69,3313.422188,7500110047.336152 +17,Albania,1977,2509048,Europe,68.93,3533.00391,8864476394.37768 +18,Albania,1982,2780097,Europe,70.42,3630.880722,10094200602.590034 +19,Albania,1987,3075321,Europe,72.0,3738.932735,11498418357.532934 +20,Albania,1992,3326498,Europe,71.581,2497.437901,8307722182.800697 +21,Albania,1997,3428038,Europe,72.95,3193.054604,10945912518.586952 +22,Albania,2002,3508512,Europe,75.651,4604.211737,16153932129.805344 +23,Albania,2007,3600523,Europe,76.423,5937.029526,21376411360.0421 +24,Algeria,1952,9279525,Africa,43.077,2449.008185,22725632677.912125 +25,Algeria,1957,10270856,Africa,45.685,3013.976023,30956113719.685688 +26,Algeria,1962,11000948,Africa,48.303,2550.81688,28061403854.402237 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+67,Australia,1987,16257249,Oceania,76.32,21888.88903,355853119294.0784 +68,Australia,1992,17481977,Oceania,77.56,23424.76683,409511234952.4229 +69,Australia,1997,18565243,Oceania,78.83,26997.93657,501223252920.63654 +70,Australia,2002,19546792,Oceania,80.37,30687.75473,599847158654.3262 +71,Australia,2007,20434176,Oceania,81.235,34435.36744,703658358893.6295 +72,Austria,1952,6927772,Europe,66.8,6137.076492,42516266683.135826 +73,Austria,1957,6965860,Europe,67.48,8842.59803,61596299913.25579 +74,Austria,1962,7129864,Europe,69.54,10750.72111,76651179416.22905 +75,Austria,1967,7376998,Europe,70.14,12834.6024,94680836235.5952 +76,Austria,1972,7544201,Europe,70.63,16661.6256,125698652513.1456 +77,Austria,1977,7568430,Europe,72.17,19749.4223,149472120217.98898 +78,Austria,1982,7574613,Europe,73.18,21597.08362,163589550350.13907 +79,Austria,1987,7578903,Europe,74.94,23687.82607,179527736065.4012 +80,Austria,1992,7914969,Europe,76.04,27042.01868,214036739549.62094 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+137,Bolivia,1977,5079716,Americas,50.023,3548.097832,18023329326.77571 +138,Bolivia,1982,5642224,Americas,53.859,3156.510452,17809739028.52525 +139,Bolivia,1987,6156369,Americas,57.251,2753.69149,16952740924.599812 +140,Bolivia,1992,6893451,Americas,59.957,2961.699694,20416331717.303993 +141,Bolivia,1997,7693188,Americas,62.05,3326.143191,25588644883.28291 +142,Bolivia,2002,8445134,Americas,63.883,3413.26269,28825460794.25046 +143,Bolivia,2007,9119152,Americas,65.554,3822.137084,34854649033.83277 +144,Bosnia and Herzegovina,1952,2791000,Europe,53.82,973.5331948,2717131146.6868 +145,Bosnia and Herzegovina,1957,3076000,Europe,58.45,1353.989176,4164870705.376 +146,Bosnia and Herzegovina,1962,3349000,Europe,61.93,1709.683679,5725730640.971 +147,Bosnia and Herzegovina,1967,3585000,Europe,64.79,2172.352423,7787883436.454999 +148,Bosnia and Herzegovina,1972,3819000,Europe,67.45,2860.16975,10922988275.25 +149,Bosnia and Herzegovina,1977,4086000,Europe,69.86,3528.481305,14417374612.23 +150,Bosnia and Herzegovina,1982,4172693,Europe,70.69,4126.613157,17219089833.9218 +151,Bosnia and Herzegovina,1987,4338977,Europe,71.14,4314.114757,18718844705.98359 +152,Bosnia and Herzegovina,1992,4256013,Europe,72.178,2546.781445,10839134938.078785 +153,Bosnia and Herzegovina,1997,3607000,Europe,73.244,4766.355904,17192245745.728 +154,Bosnia and Herzegovina,2002,4165416,Europe,74.09,6018.975239,25071535764.134426 +155,Bosnia and Herzegovina,2007,4552198,Europe,74.852,7446.298803,33897026518.41899 +156,Botswana,1952,442308,Africa,47.622,851.2411407,376510766.46073556 +157,Botswana,1957,474639,Africa,49.618,918.2325349,435828972.1324011 +158,Botswana,1962,512764,Africa,51.52,983.6539764,504382347.55476964 +159,Botswana,1967,553541,Africa,53.298,1214.709294,672391397.310054 +160,Botswana,1972,619351,Africa,56.024,2263.611114,1401969807.067014 +161,Botswana,1977,781472,Africa,59.319,3214.857818,2512321368.748096 +162,Botswana,1982,970347,Africa,61.484,4551.14215,4416187131.82605 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+176,Brazil,1992,155975974,Americas,67.057,6950.283021,1084077163776.1375 +177,Brazil,1997,168546719,Americas,69.388,7957.980824,1341291557750.1165 +178,Brazil,2002,179914212,Americas,71.006,8131.212843,1462920751252.6248 +179,Brazil,2007,190010647,Americas,72.39,9065.800825,1722598680331.3838 +180,Bulgaria,1952,7274900,Europe,59.6,2444.286648,17781940935.5352 +181,Bulgaria,1957,7651254,Europe,66.61,3008.670727,23020103934.64166 +182,Bulgaria,1962,8012946,Europe,69.51,4254.337839,34089779369.663692 +183,Bulgaria,1967,8310226,Europe,70.42,5577.0028,46346153670.632805 +184,Bulgaria,1972,8576200,Europe,70.9,6597.494398,56581431456.1276 +185,Bulgaria,1977,8797022,Europe,70.81,7612.240438,66965046602.37563 +186,Bulgaria,1982,8892098,Europe,71.08,8224.191647,73130318095.9054 +187,Bulgaria,1987,8971958,Europe,71.34,8239.854824,73927631407.02539 +188,Bulgaria,1992,8658506,Europe,71.19,6302.623438,54571302853.66363 +189,Bulgaria,1997,8066057,Europe,70.32,5970.38876,48157496050.31932 +190,Bulgaria,2002,7661799,Europe,72.14,7696.777725,58971163876.62727 +191,Bulgaria,2007,7322858,Europe,73.005,10680.79282,78213929148.27957 +192,Burkina Faso,1952,4469979,Africa,31.975,543.2552413,2428339520.2509327 +193,Burkina Faso,1957,4713416,Africa,34.906,617.1834648,2909042417.923757 +194,Burkina Faso,1962,4919632,Africa,37.814,722.5120206,3554493256.928419 +195,Burkina Faso,1967,5127935,Africa,40.697,794.8265597,4075818934.4152193 +196,Burkina Faso,1972,5433886,Africa,43.591,854.7359763,4644537855.3129015 +197,Burkina Faso,1977,5889574,Africa,46.137,743.3870368,4378232963.874324 +198,Burkina Faso,1982,6634596,Africa,48.122,807.1985855,5355436506.563958 +199,Burkina Faso,1987,7586551,Africa,49.557,912.0631417,6919413539.727277 +200,Burkina Faso,1992,8878303,Africa,50.26,931.7527731,8272383440.6720495 +201,Burkina Faso,1997,10352843,Africa,50.324,946.2949618,9796843171.206398 +202,Burkina Faso,2002,12251209,Africa,50.65,1037.645221,12712408470.32219 +203,Burkina Faso,2007,14326203,Africa,52.295,1217.032994,17435461729.74178 +204,Burundi,1952,2445618,Africa,39.031,339.2964587,829789526.7329767 +205,Burundi,1957,2667518,Africa,40.533,379.5646281,1012495477.6200558 +206,Burundi,1962,2961915,Africa,42.045,355.2032273,1052081766.9882795 +207,Burundi,1967,3330989,Africa,43.548,412.9775136,1375623555.0489504 +208,Burundi,1972,3529983,Africa,44.057,464.0995039,1638263359.0754337 +209,Burundi,1977,3834415,Africa,45.91,556.1032651,2132330701.2484167 +210,Burundi,1982,4580410,Africa,47.471,559.603231,2563212235.3047104 +211,Burundi,1987,5126023,Africa,48.211,621.8188189,3187457567.5142345 +212,Burundi,1992,5809236,Africa,44.736,631.6998778,3669693671.311361 +213,Burundi,1997,6121610,Africa,45.326,463.1151478,2835010319.923958 +214,Burundi,2002,7021078,Africa,47.36,446.4035126,3134233881.438583 +215,Burundi,2007,8390505,Africa,49.58,430.0706916,3608510288.223258 +216,Cambodia,1952,4693836,Asia,39.417,368.4692856,1729534397.6435616 +217,Cambodia,1957,5322536,Asia,41.366,434.0383364,2310184670.8691106 +218,Cambodia,1962,6083619,Asia,43.415,496.9136476,3023033307.8986645 +219,Cambodia,1967,6960067,Asia,45.415,523.4323142,3643123976.797051 +220,Cambodia,1972,7450606,Asia,40.317,421.6240257,3141354495.624574 +221,Cambodia,1977,6978607,Asia,31.22,524.9721832,3663574552.4848027 +222,Cambodia,1982,7272485,Asia,50.957,624.4754784,4541488549.531824 +223,Cambodia,1987,8371791,Asia,53.914,683.8955732,5725430804.655601 +224,Cambodia,1992,10150094,Asia,55.803,682.3031755,6925441367.823497 +225,Cambodia,1997,11782962,Asia,56.534,734.28517,8652054255.27354 +226,Cambodia,2002,12926707,Asia,56.752,896.2260153,11585251105.560617 +227,Cambodia,2007,14131858,Asia,59.723,1713.778686,24218877033.97859 +228,Cameroon,1952,5009067,Africa,38.523,1172.667655,5873970852.627885 +229,Cameroon,1957,5359923,Africa,40.428,1313.048099,7037836705.936378 +230,Cameroon,1962,5793633,Africa,42.643,1399.607441,8108811857.223154 +231,Cameroon,1967,6335506,Africa,44.799,1508.453148,9556813969.872889 +232,Cameroon,1972,7021028,Africa,47.049,1684.146528,11824439929.190784 +233,Cameroon,1977,7959865,Africa,49.355,1783.432873,14195884905.642145 +234,Cameroon,1982,9250831,Africa,52.961,2367.983282,21905813152.60734 +235,Cameroon,1987,10780667,Africa,54.985,2602.664206,28058456117.705402 +236,Cameroon,1992,12467171,Africa,54.314,1793.163278,22355673217.746536 +237,Cameroon,1997,14195809,Africa,52.199,1694.337469,24052491091.467422 +238,Cameroon,2002,15929988,Africa,49.856,1934.011449,30808779174.432613 +239,Cameroon,2007,17696293,Africa,50.43,2042.09524,36137515700.94532 +240,Canada,1952,14785584,Americas,68.75,11367.16112,168070115581.2941 +241,Canada,1957,17010154,Americas,69.96,12489.95006,212455973972.90924 +242,Canada,1962,18985849,Americas,71.3,13462.48555,255596717816.98193 +243,Canada,1967,20819767,Americas,72.13,16076.58803,334710816939.58905 +244,Canada,1972,22284500,Americas,72.88,18970.57086,422749686329.67 +245,Canada,1977,23796400,Americas,74.21,22090.88306,525683489648.984 +246,Canada,1982,25201900,Americas,75.76,22898.79214,577093069633.066 +247,Canada,1987,26549700,Americas,76.86,26626.51503,706925986091.991 +248,Canada,1992,28523502,Americas,77.95,26342.88426,751391311875.8785 +249,Canada,1997,30305843,Americas,78.61,28954.92589,877503438098.9752 +250,Canada,2002,31902268,Americas,79.77,33328.96507,1063269575825.7787 +251,Canada,2007,33390141,Americas,80.653,36319.23501,1212704377996.0364 +252,Central African Republic,1952,1291695,Africa,35.463,1071.310713,1383806691.428535 +253,Central African Republic,1957,1392284,Africa,37.464,1190.844328,1657993504.365152 +254,Central African Republic,1962,1523478,Africa,39.475,1193.068753,1817613997.682934 +255,Central African Republic,1967,1733638,Africa,41.478,1136.056615,1969510917.91537 +256,Central African Republic,1972,1927260,Africa,43.457,1070.013275,2062193784.3765001 +257,Central African Republic,1977,2167533,Africa,46.775,1109.374338,2404605486.968154 +258,Central African Republic,1982,2476971,Africa,48.295,956.7529907,2369849412.1271696 +259,Central African Republic,1987,2840009,Africa,50.485,844.8763504,2399456439.0231533 +260,Central African Republic,1992,3265124,Africa,49.396,747.9055252,2442004280.063125 +261,Central African Republic,1997,3696513,Africa,46.066,740.5063317,2737291281.7113624 +262,Central African Republic,2002,4048013,Africa,43.308,738.6906068,2990229179.3042884 +263,Central African Republic,2007,4369038,Africa,44.741,706.016537,3084613078.781406 +264,Chad,1952,2682462,Africa,38.092,1178.665927,3161726559.872274 +265,Chad,1957,2894855,Africa,39.881,1308.495577,3787904963.556335 +266,Chad,1962,3150417,Africa,41.716,1389.817618,4378505050.646707 +267,Chad,1967,3495967,Africa,43.601,1196.810565,4184010240.491355 +268,Chad,1972,3899068,Africa,45.569,1104.103987,4304976524.384116 +269,Chad,1977,4388260,Africa,47.383,1133.98495,4976220796.687 +270,Chad,1982,4875118,Africa,49.517,797.9081006,3889896143.5808706 +271,Chad,1987,5498955,Africa,51.051,952.386129,5237128465.995194 +272,Chad,1992,6429417,Africa,51.724,1058.0643,6802736597.5131 +273,Chad,1997,7562011,Africa,51.573,1004.961353,7599528805.960883 +274,Chad,2002,8835739,Africa,50.525,1156.18186,10215721151.49454 +275,Chad,2007,10238807,Africa,50.651,1704.063724,17447579585.73727 +276,Chile,1952,6377619,Americas,54.745,3939.978789,25127683584.32339 +277,Chile,1957,7048426,Americas,56.074,4315.622723,30418347406.984 +278,Chile,1962,7961258,Americas,57.924,4519.094331,35977675895.4284 +279,Chile,1967,8858908,Americas,60.523,5106.654313,45239380746.670204 +280,Chile,1972,9717524,Americas,63.441,5494.024437,53388314323.13399 +281,Chile,1977,10599793,Americas,67.052,4756.763836,50420712011.48595 +282,Chile,1982,11487112,Americas,70.565,5095.665738,58534483046.96865 +283,Chile,1987,12463354,Americas,72.492,5547.063754,69135019226.67091 +284,Chile,1992,13572994,Americas,74.126,7596.125964,103102172132.61621 +285,Chile,1997,14599929,Americas,75.816,10118.05318,147722858046.22424 +286,Chile,2002,15497046,Americas,77.86,10778.78385,167039309147.5071 +287,Chile,2007,16284741,Americas,78.553,13171.63885,214496727217.78784 +288,China,1952,556263527,Asia,44.0,400.448611,222754956737.11102 +289,China,1957,637408000,Asia,50.54896,575.9870009,367138722269.6672 +290,China,1962,665770000,Asia,44.50136,487.6740183,324678731163.591 +291,China,1967,754550000,Asia,58.38112,612.7056934,462317080954.97 +292,China,1972,862030000,Asia,63.11888,676.9000921,583508186392.963 +293,China,1977,943455000,Asia,63.96736,741.2374699,699324197164.5044 +294,China,1982,1000281000,Asia,65.525,962.4213805,962691820907.9205 +295,China,1987,1084035000,Asia,67.274,1378.904018,1494780217152.63 +296,China,1992,1164970000,Asia,68.69,1655.784158,1928938870545.26 +297,China,1997,1230075000,Asia,70.426,2289.234136,2815929679840.2 +298,China,2002,1280400000,Asia,72.028,3119.280896,3993927259238.4004 +299,China,2007,1318683096,Asia,72.961,4959.114854,6539500929092.309 +300,Colombia,1952,12350771,Americas,50.643,2144.115096,26481474548.339016 +301,Colombia,1957,14485993,Americas,55.118,2323.805581,33662631379.726933 +302,Colombia,1962,17009885,Americas,57.863,2492.351109,42394605743.71247 +303,Colombia,1967,19764027,Americas,59.963,2678.729839,52942488863.70165 +304,Colombia,1972,22542890,Americas,61.623,3264.660041,73594872191.6585 +305,Colombia,1977,25094412,Americas,63.837,3815.80787,95755454802.62244 +306,Colombia,1982,27764644,Americas,66.653,4397.575659,122097122635.2004 +307,Colombia,1987,30964245,Americas,67.768,4903.2191,151824477501.0795 +308,Colombia,1992,34202721,Americas,68.421,5444.648617,186221797590.28687 +309,Colombia,1997,37657830,Americas,70.313,6117.361746,230366568679.37115 +310,Colombia,2002,41008227,Americas,71.682,5755.259962,236013006965.70737 +311,Colombia,2007,44227550,Americas,72.889,7006.580419,309883885810.34344 +312,Comoros,1952,153936,Africa,40.715,1102.990936,169790012.724096 +313,Comoros,1957,170928,Africa,42.46,1211.148548,207019199.01254398 +314,Comoros,1962,191689,Africa,44.467,1406.648278,269639001.76154196 +315,Comoros,1967,217378,Africa,46.472,1876.029643,407807571.736054 +316,Comoros,1972,250027,Africa,48.944,1937.577675,484446733.347225 +317,Comoros,1977,304739,Africa,50.939,1172.603047,357337879.939733 +318,Comoros,1982,348643,Africa,52.933,1267.100083,441765574.237369 +319,Comoros,1987,395114,Africa,54.926,1315.980812,519962442.552568 +320,Comoros,1992,454429,Africa,57.939,1246.90737,566630869.24173 +321,Comoros,1997,527982,Africa,60.66,1173.618235,619649302.95177 +322,Comoros,2002,614382,Africa,62.974,1075.811558,660959256.627156 +323,Comoros,2007,710960,Africa,65.152,986.1478792,701111696.196032 +324,"Congo, Dem. Rep.",1952,14100005,Africa,39.143,780.5423257,11005650695.081629 +325,"Congo, Dem. Rep.",1957,15577932,Africa,40.652,905.8602303,14111429069.11774 +326,"Congo, Dem. Rep.",1962,17486434,Africa,42.122,896.3146335,15673346681.93194 +327,"Congo, Dem. Rep.",1967,19941073,Africa,44.056,861.5932424,17181093743.005096 +328,"Congo, Dem. Rep.",1972,23007669,Africa,45.989,904.8960685,20819549223.449326 +329,"Congo, Dem. Rep.",1977,26480870,Africa,47.804,795.757282,21072345136.19534 +330,"Congo, Dem. Rep.",1982,30646495,Africa,47.784,673.7478181,20648009138.66256 +331,"Congo, Dem. Rep.",1987,35481645,Africa,47.412,672.774812,23871157044.32574 +332,"Congo, Dem. Rep.",1992,41672143,Africa,45.548,457.7191807,19074139151.97324 +333,"Congo, Dem. Rep.",1997,47798986,Africa,42.587,312.188423,14922290060.339079 +334,"Congo, Dem. Rep.",2002,55379852,Africa,44.966,241.1658765,13355730548.020277 +335,"Congo, Dem. Rep.",2007,64606759,Africa,46.462,277.5518587,17931726045.032955 +336,"Congo, Rep.",1952,854885,Africa,42.111,2125.621418,1817161865.9269302 +337,"Congo, Rep.",1957,940458,Africa,45.053,2315.056572,2177213473.589976 +338,"Congo, Rep.",1962,1047924,Africa,48.435,2464.783157,2582905425.016068 +339,"Congo, Rep.",1967,1179760,Africa,52.04,2677.939642,3159326072.04592 +340,"Congo, Rep.",1972,1340458,Africa,54.907,3213.152683,4307096219.148814 +341,"Congo, Rep.",1977,1536769,Africa,55.625,3259.178978,5008605218.842082 +342,"Congo, Rep.",1982,1774735,Africa,56.695,4879.507522,8659832782.05667 +343,"Congo, Rep.",1987,2064095,Africa,57.47,4201.194937,8671665463.487015 +344,"Congo, Rep.",1992,2409073,Africa,56.433,4016.239529,9675414210.846617 +345,"Congo, Rep.",1997,2800947,Africa,52.962,3484.164376,9758959756.464073 +346,"Congo, Rep.",2002,3328795,Africa,52.97,3484.06197,11597728065.426151 +347,"Congo, Rep.",2007,3800610,Africa,55.322,3632.557798,13805935492.65678 +348,Costa Rica,1952,926317,Americas,57.206,2627.009471,2433443532.148307 +349,Costa Rica,1957,1112300,Americas,60.026,2990.010802,3325789015.0646 +350,Costa Rica,1962,1345187,Americas,62.842,3460.937025,4655607493.848675 +351,Costa Rica,1967,1588717,Americas,65.424,4161.727834,6611807759.248979 +352,Costa Rica,1972,1834796,Americas,67.849,5118.146939,9390755531.089445 +353,Costa Rica,1977,2108457,Americas,70.75,5926.876967,12496565229.209919 +354,Costa Rica,1982,2424367,Americas,73.45,5262.734751,12758800460.077618 +355,Costa Rica,1987,2799811,Americas,74.752,5629.915318,15762698836.4049 +356,Costa Rica,1992,3173216,Americas,75.713,6160.416317,19548331623.765472 +357,Costa Rica,1997,3518107,Americas,77.26,6677.045314,23490559858.5006 +358,Costa Rica,2002,3834934,Americas,78.123,7723.447195,29618910245.310127 +359,Costa Rica,2007,4133884,Americas,78.782,9645.06142,39871565083.15528 +360,Cote d'Ivoire,1952,2977019,Africa,40.477,1388.594732,4133872900.463908 +361,Cote d'Ivoire,1957,3300000,Africa,42.469,1500.895925,4952956552.5 +362,Cote d'Ivoire,1962,3832408,Africa,44.93,1728.869428,6625733026.822624 +363,Cote d'Ivoire,1967,4744870,Africa,47.35,2052.050473,9736712727.82351 +364,Cote d'Ivoire,1972,6071696,Africa,49.801,2378.201111,14439714172.854256 +365,Cote d'Ivoire,1977,7459574,Africa,52.374,2517.736547,18781242084.85098 +366,Cote d'Ivoire,1982,9025951,Africa,53.983,2602.710169,23491934452.59572 +367,Cote d'Ivoire,1987,10761098,Africa,54.655,2156.956069,23211215640.203762 +368,Cote d'Ivoire,1992,12772596,Africa,52.044,1648.073791,21050180710.631435 +369,Cote d'Ivoire,1997,14625967,Africa,47.991,1786.265407,26125858896.02357 +370,Cote d'Ivoire,2002,16252726,Africa,46.832,1648.800823,26797508004.7935 +371,Cote d'Ivoire,2007,18013409,Africa,48.328,1544.750112,27826215570.25181 +372,Croatia,1952,3882229,Europe,61.21,3119.23652,12109590475.80308 +373,Croatia,1957,3991242,Europe,64.77,4338.231617,17314932235.498314 +374,Croatia,1962,4076557,Europe,67.13,5477.890018,22330930898.108025 +375,Croatia,1967,4174366,Europe,68.5,6960.297861,29054830740.831127 +376,Croatia,1972,4225310,Europe,69.61,9164.090127,38721121654.514366 +377,Croatia,1977,4318673,Europe,70.64,11305.38517,48824261688.27941 +378,Croatia,1982,4413368,Europe,70.46,13221.82184,58352765410.357124 +379,Croatia,1987,4484310,Europe,71.52,13822.58394,61984751387.9814 +380,Croatia,1992,4494013,Europe,72.527,8447.794873,37964499980.59535 +381,Croatia,1997,4444595,Europe,73.68,9875.604515,43893062449.34643 +382,Croatia,2002,4481020,Europe,74.876,11628.38895,52107043452.729004 +383,Croatia,2007,4493312,Europe,75.748,14619.22272,65688728878.44864 +384,Cuba,1952,6007797,Americas,59.421,5586.53878,33562790922.86766 +385,Cuba,1957,6640752,Americas,62.325,6092.174359,40456619058.87797 +386,Cuba,1962,7254373,Americas,65.246,5180.75591,37583135793.09443 +387,Cuba,1967,8139332,Americas,68.29,5690.268015,46314980543.06598 +388,Cuba,1972,8831348,Americas,70.723,5305.445256,46854233350.68509 +389,Cuba,1977,9537988,Americas,72.649,6380.494966,60857084419.76841 +390,Cuba,1982,9789224,Americas,73.717,7316.918107,71626950339.07898 +391,Cuba,1987,10239839,Americas,74.174,7532.924763,77135936772.23315 +392,Cuba,1992,10723260,Americas,74.414,5592.843963,59973519954.67938 +393,Cuba,1997,10983007,Americas,76.151,5431.990415,59659588751.87791 +394,Cuba,2002,11226999,Americas,77.158,6340.646683,71186433969.39432 +395,Cuba,2007,11416987,Americas,78.273,8948.102923,102160374746.55301 +396,Czech Republic,1952,9125183,Europe,66.87,6876.14025,62746038114.91576 +397,Czech Republic,1957,9513758,Europe,69.03,8256.343918,78548858000.62386 +398,Czech Republic,1962,9620282,Europe,69.9,10136.86713,97519520387.13066 +399,Czech Republic,1967,9835109,Europe,70.38,11399.44489,112114783032.64302 +400,Czech Republic,1972,9862158,Europe,70.29,13108.4536,129277640538.8688 +401,Czech Republic,1977,10161915,Europe,70.71,14800.16062,150397974206.7873 +402,Czech Republic,1982,10303704,Europe,70.96,15377.22855,158442411319.5492 +403,Czech Republic,1987,10311597,Europe,71.58,16310.4434,168186719232.1098 +404,Czech Republic,1992,10315702,Europe,72.4,14297.02122,147483810393.19644 +405,Czech Republic,1997,10300707,Europe,74.01,16048.51424,165311042971.5677 +406,Czech Republic,2002,10256295,Europe,75.51,17596.21022,180471922898.3349 +407,Czech Republic,2007,10228744,Europe,76.486,22833.30851,233556067421.81143 +408,Denmark,1952,4334000,Europe,70.78,9692.385245,42006797651.829994 +409,Denmark,1957,4487831,Europe,71.81,11099.65935,49813395320.36985 +410,Denmark,1962,4646899,Europe,72.35,13583.31351,63120285966.30549 +411,Denmark,1967,4838800,Europe,72.96,15937.21123,77116977699.724 +412,Denmark,1972,4991596,Europe,73.47,18866.20721,94172484444.60716 +413,Denmark,1977,5088419,Europe,74.69,20422.9015,103920280027.7285 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Republic,1992,7351181,Americas,68.457,3044.214214,22378569689.886734 +441,Dominican Republic,1997,7992357,Americas,69.957,3614.101285,28885187703.878746 +442,Dominican Republic,2002,8650322,Americas,70.847,4563.808154,39478410078.32559 +443,Dominican Republic,2007,9319622,Americas,72.235,6025.374752,56154215096.98374 +444,Ecuador,1952,3548753,Americas,48.357,3522.110717,12499100973.285902 +445,Ecuador,1957,4058385,Americas,51.356,3780.546651,15342913820.218636 +446,Ecuador,1962,4681707,Americas,54.64,4086.114078,19129988881.771145 +447,Ecuador,1967,5432424,Americas,56.678,4579.074215,24875472663.347157 +448,Ecuador,1972,6298651,Americas,58.796,5280.99471,33263142611.13621 +449,Ecuador,1977,7278866,Americas,61.31,6679.62326,48620082640.02316 +450,Ecuador,1982,8365850,Americas,64.342,7213.791267,60349495671.031944 +451,Ecuador,1987,9545158,Americas,67.231,6481.776993,61869585518.9499 +452,Ecuador,1992,10748394,Americas,69.613,7103.702595,76353394349.88243 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Guinea,1952,216964,Africa,34.482,375.6431231,81501034.5602684 +481,Equatorial Guinea,1957,232922,Africa,35.983,426.0964081,99247227.56746821 +482,Equatorial Guinea,1962,249220,Africa,37.485,582.8419714,145255876.112308 +483,Equatorial Guinea,1967,259864,Africa,38.987,915.5960025,237930439.59366003 +484,Equatorial Guinea,1972,277603,Africa,40.516,672.4122571,186663659.8077313 +485,Equatorial Guinea,1977,192675,Africa,42.024,958.5668124,184691860.57917 +486,Equatorial Guinea,1982,285483,Africa,43.662,927.8253427,264878362.31002408 +487,Equatorial Guinea,1987,341244,Africa,45.664,966.8968149,329947736.7037356 +488,Equatorial Guinea,1992,387838,Africa,47.545,1132.055034,439053960.276492 +489,Equatorial Guinea,1997,439971,Africa,48.245,2814.480755,1238289912.258105 +490,Equatorial Guinea,2002,495627,Africa,49.348,7703.4959,3818060562.4293 +491,Equatorial Guinea,2007,551201,Africa,51.579,12154.08975,6699346424.289749 +492,Eritrea,1952,1438760,Africa,35.928,328.9405571,473266515.93319595 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+591,Greece,1967,8716441,Europe,71.0,8513.097016,74203907867.24005 +592,Greece,1972,8888628,Europe,72.34,12724.82957,113106276411.12996 +593,Greece,1977,9308479,Europe,73.68,14195.52428,132138739654.37012 +594,Greece,1982,9786480,Europe,75.24,15268.42089,149424095671.5672 +595,Greece,1987,9974490,Europe,76.67,16120.52839,160794049220.7711 +596,Greece,1992,10325429,Europe,77.03,17541.49634,181123475012.42987 +597,Greece,1997,10502372,Europe,77.869,18747.69814,196895300009.9881 +598,Greece,2002,10603863,Europe,78.256,22514.2548,238738073446.2924 +599,Greece,2007,10706290,Europe,79.483,27538.41188,294834223726.7252 +600,Guatemala,1952,3146381,Americas,42.023,2428.237769,7640161179.863989 +601,Guatemala,1957,3640876,Americas,44.142,2617.155967,9528740348.507093 +602,Guatemala,1962,4208858,Americas,46.954,2750.364446,11575893401.462667 +603,Guatemala,1967,4690773,Americas,50.016,3242.531147,15209977556.006632 +604,Guatemala,1972,5149581,Americas,53.738,4031.408271,20760063435.58445 +605,Guatemala,1977,5703430,Americas,56.029,4879.992748,27832697038.72564 +606,Guatemala,1982,6395630,Americas,58.137,4820.49479,30830101093.7677 +607,Guatemala,1987,7326406,Americas,60.782,4246.485974,31111480318.829445 +608,Guatemala,1992,8486949,Americas,63.373,4439.45084,37677392867.087166 +609,Guatemala,1997,9803875,Americas,66.322,4684.313807,45924427024.60213 +610,Guatemala,2002,11178650,Americas,68.978,4858.347495,54309766224.98175 +611,Guatemala,2007,12572928,Americas,70.259,5186.050003,65203833292.11879 +612,Guinea,1952,2664249,Africa,33.609,510.1964923,1359290494.4137826 +613,Guinea,1957,2876726,Africa,34.558,576.2670245,1657762332.321787 +614,Guinea,1962,3140003,Africa,35.753,686.3736739,2155215395.1670218 +615,Guinea,1967,3451418,Africa,37.197,708.7595409,2446225437.1339965 +616,Guinea,1972,3811387,Africa,38.842,741.6662307,2826777030.028981 +617,Guinea,1977,4227026,Africa,40.762,874.6858643,3697319890.228572 +618,Guinea,1982,4710497,Africa,42.891,857.2503577,4038075238.194777 +619,Guinea,1987,5650262,Africa,45.552,805.5724718,4551695525.657612 +620,Guinea,1992,6990574,Africa,48.576,794.3484384,5552951540.4196415 +621,Guinea,1997,8048834,Africa,51.455,869.4497668,6998056844.311912 +622,Guinea,2002,8807818,Africa,53.676,945.5835837,8328528109.017366 +623,Guinea,2007,9947814,Africa,56.007,942.6542111,9377348758.339535 +624,Guinea-Bissau,1952,580653,Africa,32.5,299.850319,174108987.27830702 +625,Guinea-Bissau,1957,601095,Africa,33.489,431.7904566,259547084.509977 +626,Guinea-Bissau,1962,627820,Africa,34.488,522.0343725,327743619.74295 +627,Guinea-Bissau,1967,601287,Africa,35.492,715.5806402,430269336.40393734 +628,Guinea-Bissau,1972,625361,Africa,36.486,820.2245876,512936468.3261236 +629,Guinea-Bissau,1977,745228,Africa,37.465,764.7259628,569895199.8055184 +630,Guinea-Bissau,1982,825987,Africa,39.327,838.1239671,692279501.2130277 +631,Guinea-Bissau,1987,927524,Africa,41.245,736.4153921,683042950.1421604 +632,Guinea-Bissau,1992,1050938,Africa,43.266,745.5398706,783516180.5286227 +633,Guinea-Bissau,1997,1193708,Africa,44.873,796.6644681,950984748.8867148 +634,Guinea-Bissau,2002,1332459,Africa,45.504,575.7047176,767102932.3085784 +635,Guinea-Bissau,2007,1472041,Africa,46.388,579.231743,852652874.197463 +636,Haiti,1952,3201488,Americas,37.579,1840.366939,5891912670.805232 +637,Haiti,1957,3507701,Americas,40.696,1726.887882,6057406350.579282 +638,Haiti,1962,3880130,Americas,43.59,1796.589032,6970999000.73416 +639,Haiti,1967,4318137,Americas,46.243,1452.057666,6270183933.688242 +640,Haiti,1972,4698301,Americas,48.042,1654.456946,7773136723.848746 +641,Haiti,1977,4908554,Americas,49.923,1874.298931,9200097514.955774 +642,Haiti,1982,5198399,Americas,51.461,2011.159549,10454809788.362051 +643,Haiti,1987,5756203,Americas,53.636,1823.015995,10493650139.466986 +644,Haiti,1992,6326682,Americas,55.089,1456.309517,9213607207.632593 +645,Haiti,1997,6913545,Americas,56.671,1341.726931,9276089515.180395 +646,Haiti,2002,7607651,Americas,58.137,1270.364932,9664493045.294731 +647,Haiti,2007,8502814,Americas,60.916,1201.637154,10217297215.951357 +648,Honduras,1952,1517453,Americas,41.912,2194.926204,3330697353.0384116 +649,Honduras,1957,1770390,Americas,44.665,2220.487682,3931129187.33598 +650,Honduras,1962,2090162,Americas,48.041,2291.156835,4788888952.557269 +651,Honduras,1967,2500689,Americas,50.924,2538.269358,6347422262.587662 +652,Honduras,1972,2965146,Americas,53.884,2529.842345,7501351909.90737 +653,Honduras,1977,3055235,Americas,57.402,3203.208066,9786553395.52551 +654,Honduras,1982,3669448,Americas,60.909,3121.760794,11455138902.021711 +655,Honduras,1987,4372203,Americas,64.492,3023.096699,13217592456.657898 +656,Honduras,1992,5077347,Americas,66.399,3081.694603,15646832847.45824 +657,Honduras,1997,5867957,Americas,67.659,3160.454906,18545413488.847042 +658,Honduras,2002,6677328,Americas,68.565,3099.72866,20697904973.82048 +659,Honduras,2007,7483763,Americas,70.198,3548.330846,26554867097.053497 +660,"Hong Kong, China",1952,2125900,Asia,60.96,3054.421209,6493394048.2131 +661,"Hong Kong, China",1957,2736300,Asia,64.75,3629.076457,9930241909.2891 +662,"Hong Kong, China",1962,3305200,Asia,67.65,4692.648272,15510141068.6144 +663,"Hong Kong, China",1967,3722800,Asia,70.0,6197.962814,23073775963.9592 +664,"Hong Kong, China",1972,4115700,Asia,72.0,8315.928145,34225865466.3765 +665,"Hong Kong, China",1977,4583700,Asia,73.6,11186.14125,51273915647.625 +666,"Hong Kong, China",1982,5264500,Asia,75.45,14560.53051,76653912869.895 +667,"Hong Kong, China",1987,5584510,Asia,76.2,20038.47269,111905051122.03189 +668,"Hong Kong, China",1992,5829696,Asia,77.601,24757.60301,144329299236.98495 +669,"Hong Kong, China",1997,6495918,Asia,80.0,28377.63219,184338771740.40042 +670,"Hong Kong, China",2002,6762476,Asia,81.495,30209.01516,204287740003.13614 +671,"Hong Kong, China",2007,6980412,Asia,82.208,39724.97867,277296717807.812 +672,Hungary,1952,9504000,Europe,64.03,5263.673816,50025955947.26401 +673,Hungary,1957,9839000,Europe,66.41,6040.180011,59429331128.229004 +674,Hungary,1962,10063000,Europe,67.96,7550.359877,75979271442.25099 +675,Hungary,1967,10223422,Europe,69.5,9326.64467,95350224305.46074 +676,Hungary,1972,10394091,Europe,69.76,10168.65611,105693936955.046 +677,Hungary,1977,10637171,Europe,69.95,11674.83737,124187241501.88026 +678,Hungary,1982,10705535,Europe,69.39,12545.99066,134311542120.3031 +679,Hungary,1987,10612740,Europe,69.58,12986.47998,137822135542.9452 +680,Hungary,1992,10348684,Europe,69.17,10535.62855,109029890605.3282 +681,Hungary,1997,10244684,Europe,71.04,11712.7768,119993697078.53119 +682,Hungary,2002,10083313,Europe,72.59,14843.93556,149676048403.31027 +683,Hungary,2007,9956108,Europe,73.338,18008.94444,179298995810.63953 +684,Iceland,1952,147962,Europe,72.49,7267.688428,1075341715.183736 +685,Iceland,1957,165110,Europe,73.47,9244.001412,1526277073.13532 +686,Iceland,1962,182053,Europe,73.68,10350.15906,1884277507.35018 +687,Iceland,1967,198676,Europe,73.73,13319.89568,2646343594.11968 +688,Iceland,1972,209275,Europe,74.46,15798.06362,3306139764.0755 +689,Iceland,1977,221823,Europe,76.11,19654.96247,4359922739.98281 +690,Iceland,1982,233997,Europe,76.99,23269.6075,5445018346.1775 +691,Iceland,1987,244676,Europe,77.23,26923.20628,6587462419.76528 +692,Iceland,1992,259012,Europe,78.77,25144.39201,6512699263.29412 +693,Iceland,1997,271192,Europe,78.95,28061.09966,7609945738.9947195 +694,Iceland,2002,288030,Europe,80.5,31163.20196,8975937060.5388 +695,Iceland,2007,301931,Europe,81.757,36180.78919,10924101860.925892 +696,India,1952,372000000,Asia,37.373,546.5657493,203322458739.6 +697,India,1957,409000000,Asia,40.249,590.061996,241335356364.0 +698,India,1962,454000000,Asia,43.605,658.3471509,298889606508.6 +699,India,1967,506000000,Asia,47.193,700.7706107,354589929014.2 +700,India,1972,567000000,Asia,50.651,724.032527,410526442809.0 +701,India,1977,634000000,Asia,54.208,813.337323,515655862782.0 +702,India,1982,708000000,Asia,56.596,855.7235377,605852264691.6 +703,India,1987,788000000,Asia,58.553,976.5126756,769491988372.7999 +704,India,1992,872000000,Asia,60.223,1164.406809,1015362737448.0 +705,India,1997,959000000,Asia,61.765,1458.817442,1399005926878.0 +706,India,2002,1034172547,Asia,62.879,1746.769454,1806461015264.9792 +707,India,2007,1110396331,Asia,64.698,2452.210407,2722925438772.817 +708,Indonesia,1952,82052000,Asia,37.468,749.6816546,61512879123.2392 +709,Indonesia,1957,90124000,Asia,39.918,858.9002707,77407527996.5668 +710,Indonesia,1962,99028000,Asia,42.518,849.2897701,84103467353.4628 +711,Indonesia,1967,109343000,Asia,45.964,762.4317721,83366577256.7303 +712,Indonesia,1972,121282000,Asia,49.203,1111.107907,134757389176.774 +713,Indonesia,1977,136725000,Asia,52.702,1382.702056,189049938606.6 +714,Indonesia,1982,153343000,Asia,56.159,1516.872988,232601854598.884 +715,Indonesia,1987,169276000,Asia,60.137,1748.356961,295954872930.236 +716,Indonesia,1992,184816000,Asia,62.681,2383.140898,440442568204.768 +717,Indonesia,1997,199278000,Asia,66.041,3119.335603,621614960294.634 +718,Indonesia,2002,211060000,Asia,68.588,2873.91287,606568050342.2001 +719,Indonesia,2007,223547000,Asia,70.65,3540.651564,791502035177.5079 +720,Iran,1952,17272000,Asia,44.869,3035.326002,52426150706.544 +721,Iran,1957,19792000,Asia,47.181,3290.257643,65120779270.256 +722,Iran,1962,22874000,Asia,49.325,4187.329802,95780981890.948 +723,Iran,1967,26538000,Asia,52.469,5906.731805,156752848641.09 +724,Iran,1972,30614000,Asia,55.234,9613.818607,294317442834.698 +725,Iran,1977,35480679,Asia,57.702,11888.59508,421815425794.4593 +726,Iran,1982,43072751,Asia,59.62,7608.334602,327711901836.6301 +727,Iran,1987,51889696,Asia,63.04,6642.881371,344697094905.25323 +728,Iran,1992,60397973,Asia,65.742,7235.653188,437018785886.1879 +729,Iran,1997,63327987,Asia,68.042,8263.590301,523316539155.0541 +730,Iran,2002,66907826,Asia,69.451,9240.761975,618279294330.7163 +731,Iran,2007,69453570,Asia,70.964,11605.71449,806058303731.2294 +732,Iraq,1952,5441766,Asia,45.32,4129.766056,22473220511.4949 +733,Iraq,1957,6248643,Asia,48.437,6229.333562,38924881556.85636 +734,Iraq,1962,7240260,Asia,51.457,8341.737815,60396350632.4319 +735,Iraq,1967,8519282,Asia,54.459,8931.459811,76089624801.57571 +736,Iraq,1972,10061506,Asia,56.95,9576.037596,96349359728.37958 +737,Iraq,1977,11882916,Asia,60.413,14688.23507,174539063525.06412 +738,Iraq,1982,14173318,Asia,62.038,14517.90711,205766914164.49097 +739,Iraq,1987,16543189,Asia,65.044,11643.57268,192621823480.4765 +740,Iraq,1992,17861905,Asia,59.461,3745.640687,66904278115.328735 +741,Iraq,1997,20775703,Asia,58.811,3076.239795,63911044337.70088 +742,Iraq,2002,24001816,Asia,57.046,4390.717312,105385189030.63858 +743,Iraq,2007,27499638,Asia,59.545,4471.061906,122952583890.59003 +744,Ireland,1952,2952156,Europe,66.91,5210.280328,15381560331.987167 +745,Ireland,1957,2878220,Europe,68.9,5599.077872,16115377912.747839 +746,Ireland,1962,2830000,Europe,70.29,6631.597314,18767420398.62 +747,Ireland,1967,2900100,Europe,71.08,7655.568963,22201915549.5963 +748,Ireland,1972,3024400,Europe,71.28,9530.772896,28824869546.662403 +749,Ireland,1977,3271900,Europe,72.03,11150.98113,36484895159.247 +750,Ireland,1982,3480000,Europe,73.1,12618.32141,43911758506.8 +751,Ireland,1987,3539900,Europe,74.36,13872.86652,49108560194.147995 +752,Ireland,1992,3557761,Europe,75.467,17558.81555,62470069169.98355 +753,Ireland,1997,3667233,Europe,76.122,24521.94713,89927693739.3913 +754,Ireland,2002,3879155,Europe,77.783,34077.04939,132190156526.46545 +755,Ireland,2007,4109086,Europe,78.885,40675.99635,167141167137.8361 +756,Israel,1952,1620914,Asia,65.39,4086.522128,6623900928.584992 +757,Israel,1957,1944401,Asia,67.84,5385.278451,10471140805.402851 +758,Israel,1962,2310904,Asia,69.39,7105.630706,16420430421.018225 +759,Israel,1967,2693585,Asia,70.75,8393.741404,22609255939.69334 +760,Israel,1972,3095893,Asia,71.63,12786.93223,39586973982.33139 +761,Israel,1977,3495918,Asia,73.06,13306.61921,46518849615.38478 +762,Israel,1982,3858421,Asia,74.45,15367.0292,59292468172.8932 +763,Israel,1987,4203148,Asia,75.6,17122.47986,71968316978.59927 +764,Israel,1992,4936550,Asia,76.93,18051.52254,89112243594.837 +765,Israel,1997,5531387,Asia,78.269,20896.60924,115587232694.21588 +766,Israel,2002,6029529,Asia,79.696,21905.59514,132080421158.88907 +767,Israel,2007,6426679,Asia,80.745,25523.2771,164029908949.7509 +768,Italy,1952,47666000,Europe,65.94,4931.404155,235060310452.23 +769,Italy,1957,49182000,Europe,67.81,6248.656232,307321410802.224 +770,Italy,1962,50843200,Europe,69.24,8243.58234,419130105629.088 +771,Italy,1967,52667100,Europe,71.06,10022.40131,527850812033.90094 +772,Italy,1972,54365564,Europe,72.19,12269.27378,667025988920.1119 +773,Italy,1977,56059245,Europe,73.48,14255.98475,799179741816.5137 +774,Italy,1982,56535636,Europe,74.98,16537.4835,934957147512.0059 +775,Italy,1987,56729703,Europe,76.42,19207.23482,1089620726789.8585 +776,Italy,1992,56840847,Europe,77.44,22013.64486,1251274219399.5964 +777,Italy,1997,57479469,Europe,78.82,24675.02446,1418307303522.8118 +778,Italy,2002,57926999,Europe,80.24,27968.09817,1620107994725.492 +779,Italy,2007,58147733,Europe,80.546,28569.7197,1661264433000.4402 +780,Jamaica,1952,1426095,Americas,58.53,2898.530881,4133580396.739695 +781,Jamaica,1957,1535090,Americas,62.61,4756.525781,7301695161.155291 +782,Jamaica,1962,1665128,Americas,65.61,5246.107524,8735440529.223072 +783,Jamaica,1967,1861096,Americas,67.51,6124.703451,11398661093.842297 +784,Jamaica,1972,1997616,Americas,69.0,7433.889293,14850056193.925488 +785,Jamaica,1977,2156814,Americas,70.11,6650.195573,14343234914.584421 +786,Jamaica,1982,2298309,Americas,71.21,6068.05135,13946257030.167149 +787,Jamaica,1987,2326606,Americas,71.77,6351.237495,14776827263.291971 +788,Jamaica,1992,2378618,Americas,71.766,7404.923685,17613484765.76733 +789,Jamaica,1997,2531311,Americas,72.262,7121.924704,18027806344.406944 +790,Jamaica,2002,2664659,Americas,72.047,6994.774861,18638689786.3374 +791,Jamaica,2007,2780132,Americas,72.567,7320.880262,20353013484.554585 +792,Japan,1952,86459025,Asia,63.03,3216.956347,278134909229.18164 +793,Japan,1957,91563009,Asia,65.5,4317.694365,395341088001.7443 +794,Japan,1962,95831757,Asia,68.73,6576.649461,630251873020.733 +795,Japan,1967,100825279,Asia,71.43,9847.788607,992906033833.7964 +796,Japan,1972,107188273,Asia,73.42,14778.78636,1584112586964.3562 +797,Japan,1977,113872473,Asia,75.38,16610.37701,1891464707591.0457 +798,Japan,1982,118454974,Asia,77.11,19384.10571,2296143737891.302 +799,Japan,1987,122091325,Asia,78.67,22375.94189,2731908393473.104 +800,Japan,1992,124329269,Asia,79.36,26824.89511,3335119600027.9746 +801,Japan,1997,125956499,Asia,80.69,28816.58499,3629636158476.35 +802,Japan,2002,127065841,Asia,82.0,28604.5919,3634666526235.2876 +803,Japan,2007,127467972,Asia,82.603,31656.06806,4035134797102.1743 +804,Jordan,1952,607914,Asia,43.158,1546.907807,940386912.5845981 +805,Jordan,1957,746559,Asia,45.669,1886.080591,1408070439.936369 +806,Jordan,1962,933559,Asia,48.126,2348.009158,2192005081.533322 +807,Jordan,1967,1255058,Asia,51.629,2741.796252,3441113320.442616 +808,Jordan,1972,1613551,Asia,56.528,2110.856309,3405974308.2432585 +809,Jordan,1977,1937652,Asia,61.134,2852.351568,5526864720.438336 +810,Jordan,1982,2347031,Asia,63.739,4161.415959,9766972259.667728 +811,Jordan,1987,2820042,Asia,65.869,4448.679912,12545464196.396303 +812,Jordan,1992,3867409,Asia,68.015,3431.593647,13271376154.750624 +813,Jordan,1997,4526235,Asia,69.772,3645.379572,16499844607.071419 +814,Jordan,2002,5307470,Asia,71.263,3844.917194,20406782659.63918 +815,Jordan,2007,6053193,Asia,72.535,4519.461171,27357170724.069004 +816,Kenya,1952,6464046,Africa,42.27,853.540919,5517327763.298274 +817,Kenya,1957,7454779,Africa,44.686,944.4383152,7040578918.948341 +818,Kenya,1962,8678557,Africa,47.949,896.9663732,7784373796.899472 +819,Kenya,1967,10191512,Africa,50.654,1056.736457,10769742282.352983 +820,Kenya,1972,12044785,Africa,53.559,1222.359968,14723063007.16688 +821,Kenya,1977,14500404,Africa,56.155,1267.613204,18380903573.734417 +822,Kenya,1982,17661452,Africa,58.766,1348.225791,23811625092.908535 +823,Kenya,1987,21198082,Africa,59.339,1361.936856,28870449152.310192 +824,Kenya,1992,25020539,Africa,59.285,1341.921721,33575604755.22762 +825,Kenya,1997,28263827,Africa,54.407,1360.485021,38452513269.63537 +826,Kenya,2002,31386842,Africa,50.992,1287.514732,40411021465.956345 +827,Kenya,2007,35610177,Africa,54.11,1463.249282,52106565927.142914 +828,"Korea, Dem. Rep.",1952,8865488,Asia,50.056,1088.277758,9648113404.215904 +829,"Korea, Dem. Rep.",1957,9411381,Asia,54.081,1571.134655,14786546840.508556 +830,"Korea, Dem. Rep.",1962,10917494,Asia,56.656,1621.693598,17704830126.003414 +831,"Korea, Dem. Rep.",1967,12617009,Asia,59.942,2143.540609,27045071155.618484 +832,"Korea, Dem. Rep.",1972,14781241,Asia,63.983,3701.621503,54714559526.62522 +833,"Korea, Dem. Rep.",1977,16325320,Asia,67.159,4106.301249,67036681906.324684 +834,"Korea, Dem. Rep.",1982,17647518,Asia,69.1,4106.525293,72469979025.67278 +835,"Korea, Dem. Rep.",1987,19067554,Asia,70.647,4106.492315,78300763966.84752 +836,"Korea, Dem. Rep.",1992,20711375,Asia,69.978,3726.063507,77171898567.29211 +837,"Korea, Dem. Rep.",1997,21585105,Asia,67.727,1690.756814,36495163359.65547 +838,"Korea, Dem. Rep.",2002,22215365,Asia,66.662,1646.758151,36583333391.19012 +839,"Korea, Dem. Rep.",2007,23301725,Asia,67.297,1593.06548,37121173721.953 +840,"Korea, Rep.",1952,20947571,Asia,47.453,1030.592226,21588403826.183044 +841,"Korea, Rep.",1957,22611552,Asia,52.681,1487.593537,33636798616.73942 +842,"Korea, Rep.",1962,26420307,Asia,55.292,1536.344387,40590690362.266815 +843,"Korea, Rep.",1967,30131000,Asia,57.716,2029.228142,61142673146.602 +844,"Korea, Rep.",1972,33505000,Asia,62.612,3030.87665,101549522158.25 +845,"Korea, Rep.",1977,36436000,Asia,64.766,4657.22102,169690505084.72 +846,"Korea, Rep.",1982,39326000,Asia,67.123,5622.942464,221127835339.26398 +847,"Korea, Rep.",1987,41622000,Asia,69.81,8533.088805,355164222241.70996 +848,"Korea, Rep.",1992,43805450,Asia,72.244,12104.27872,530233376255.024 +849,"Korea, Rep.",1997,46173816,Asia,74.647,15993.52796,738482217215.8954 +850,"Korea, Rep.",2002,47969150,Asia,77.045,19233.98818,922638064104.647 +851,"Korea, Rep.",2007,49044790,Asia,78.623,23348.13973,1145104609948.5066 +852,Kuwait,1952,160000,Asia,55.565,108382.3529,17341176464.0 +853,Kuwait,1957,212846,Asia,58.033,113523.1329,24162944745.2334 +854,Kuwait,1962,358266,Asia,60.47,95458.11176,34199395867.80816 +855,Kuwait,1967,575003,Asia,64.624,80894.88326,46514800559.14978 +856,Kuwait,1972,841934,Asia,67.712,109347.867,92063687054.778 +857,Kuwait,1977,1140357,Asia,69.343,59265.47714,67583801714.93898 +858,Kuwait,1982,1497494,Asia,71.309,31354.03573,46952480381.46062 +859,Kuwait,1987,1891487,Asia,74.174,28118.42998,53185644767.58026 +860,Kuwait,1992,1418095,Asia,75.19,34932.91959,49538198605.98105 +861,Kuwait,1997,1765345,Asia,76.156,40300.61996,71144497943.28621 +862,Kuwait,2002,2111561,Asia,76.904,35110.10566,74137129817.53526 +863,Kuwait,2007,2505559,Asia,77.588,47306.98978,118530454006.18703 +864,Lebanon,1952,1439529,Asia,55.928,4834.804067,6959840663.764443 +865,Lebanon,1957,1647412,Asia,59.489,6089.786934,10032388072.514807 +866,Lebanon,1962,1886848,Asia,62.094,5714.560611,10782507259.744127 +867,Lebanon,1967,2186894,Asia,63.87,6006.983042,13136635172.651548 +868,Lebanon,1972,2680018,Asia,65.421,7486.384341,20063644788.798138 +869,Lebanon,1977,3115787,Asia,66.099,8659.696836,26981770825.54993 +870,Lebanon,1982,3086876,Asia,66.983,7640.519521,23585336336.906395 +871,Lebanon,1987,3089353,Asia,67.926,5377.091329,16611733228.520136 +872,Lebanon,1992,3219994,Asia,69.292,6890.806854,22188356725.038876 +873,Lebanon,1997,3430388,Asia,70.265,8754.96385,30032922931.4738 +874,Lebanon,2002,3677780,Asia,71.028,9313.93883,34254617950.197395 +875,Lebanon,2007,3921278,Asia,71.993,10461.05868,41020719258.59304 +876,Lesotho,1952,748747,Africa,42.138,298.8462121,223760204.7712387 +877,Lesotho,1957,813338,Africa,45.047,335.9971151,273279221.6012038 +878,Lesotho,1962,893143,Africa,47.747,411.8006266,367796847.0434038 +879,Lesotho,1967,996380,Africa,48.492,498.6390265,496833953.22407 +880,Lesotho,1972,1116779,Africa,49.767,496.5815922,554571893.9555237 +881,Lesotho,1977,1251524,Africa,52.208,745.3695408,932847869.1801791 +882,Lesotho,1982,1411807,Africa,55.078,797.2631074,1125581635.8690717 +883,Lesotho,1987,1599200,Africa,57.18,773.9932141,1237769947.9887202 +884,Lesotho,1992,1803195,Africa,59.685,977.4862725,1762598359.1406376 +885,Lesotho,1997,1982823,Africa,55.558,1186.147994,2351921523.907062 +886,Lesotho,2002,2046772,Africa,44.593,1275.184575,2610012082.9419 +887,Lesotho,2007,2012649,Africa,42.592,1569.331442,3158513357.4098577 +888,Liberia,1952,863308,Africa,38.48,575.5729961,496896772.11709875 +889,Liberia,1957,975950,Africa,39.486,620.9699901,606035661.8380951 +890,Liberia,1962,1112796,Africa,40.502,634.1951625,705729840.04935 +891,Liberia,1967,1279406,Africa,41.536,713.6036483,912988789.2569098 +892,Liberia,1972,1482628,Africa,42.614,803.0054535,1190558369.5117981 +893,Liberia,1977,1703617,Africa,43.764,640.3224383,1090864191.3693311 +894,Liberia,1982,1956875,Africa,44.852,572.1995694,1119723032.3696249 +895,Liberia,1987,2269414,Africa,46.027,506.1138573,1148581873.3506222 +896,Liberia,1992,1912974,Africa,40.802,636.6229191,1217843092.0424035 +897,Liberia,1997,2200725,Africa,42.221,609.1739508,1340624342.8743298 +898,Liberia,2002,2814651,Africa,43.753,531.4823679,1495937378.2921028 +899,Liberia,2007,3193942,Africa,45.678,414.5073415,1323912407.325193 +900,Libya,1952,1019729,Africa,42.723,2387.54806,2434651995.6757402 +901,Libya,1957,1201578,Africa,45.289,3448.284395,4143382666.77531 +902,Libya,1962,1441863,Africa,47.808,6757.030816,9742712723.450209 +903,Libya,1967,1759224,Africa,50.227,18772.75169,33025475319.088562 +904,Libya,1972,2183877,Africa,52.773,21011.49721,45886525492.48317 +905,Libya,1977,2721783,Africa,57.442,21951.21176,59746434997.768074 +906,Libya,1982,3344074,Africa,62.155,17364.27538,58067421827.098114 +907,Libya,1987,3799845,Africa,66.234,11770.5898,44726416798.581 +908,Libya,1992,4364501,Africa,68.755,9640.138501,42074394127.753 +909,Libya,1997,4759670,Africa,71.555,9467.446056,45061918969.36153 +910,Libya,2002,5368585,Africa,72.737,9534.677467,51187726429.174194 +911,Libya,2007,6036914,Africa,73.952,12057.49928,72790086208.42192 +912,Madagascar,1952,4762912,Africa,36.681,1443.011715,6872937813.51408 +913,Madagascar,1957,5181679,Africa,38.865,1589.20275,8234738516.41725 +914,Madagascar,1962,5703324,Africa,40.848,1643.38711,9372769145.75364 +915,Madagascar,1967,6334556,Africa,42.881,1634.047282,10350964014.476791 +916,Madagascar,1972,7082430,Africa,44.851,1748.562982,12384074920.60626 +917,Madagascar,1977,8007166,Africa,46.881,1544.228586,12364894630.047276 +918,Madagascar,1982,9171477,Africa,48.969,1302.878658,11949321645.637867 +919,Madagascar,1987,10568642,Africa,49.35,1155.441948,12211452300.194614 +920,Madagascar,1992,12210395,Africa,52.214,1040.67619,12707067346.995049 +921,Madagascar,1997,14165114,Africa,54.978,986.2958956,13970993798.906097 +922,Madagascar,2002,16473477,Africa,57.286,894.6370822,14737783396.96881 +923,Madagascar,2007,19167654,Africa,59.443,1044.770126,20025792284.704403 +924,Malawi,1952,2917802,Africa,36.256,369.1650802,1077150609.3377204 +925,Malawi,1957,3221238,Africa,37.207,416.3698064,1341226242.4283233 +926,Malawi,1962,3628608,Africa,38.41,427.9010856,1552685302.4168448 +927,Malawi,1967,4147252,Africa,39.487,495.5147806,2055024664.8729112 +928,Malawi,1972,4730997,Africa,41.766,584.6219709,2765844790.461987 +929,Malawi,1977,5637246,Africa,43.767,663.2236766,3738755018.0186434 +930,Malawi,1982,6502825,Africa,45.642,632.8039209,4115013156.9265423 +931,Malawi,1987,7824747,Africa,47.457,635.5173634,4972762582.71206 +932,Malawi,1992,10014249,Africa,49.42,563.2000145,5640025182.00661 +933,Malawi,1997,10419991,Africa,47.495,692.2758103,7213507712.843707 +934,Malawi,2002,11824495,Africa,45.009,665.4231186,7868292338.770106 +935,Malawi,2007,13327079,Africa,48.303,759.3499101,10119916240.545597 +936,Malaysia,1952,6748378,Asia,48.463,1831.132894,12357176936.945932 +937,Malaysia,1957,7739235,Asia,52.102,1810.066992,14008533816.83112 +938,Malaysia,1962,8906385,Asia,55.737,2036.884944,18141281511.967438 +939,Malaysia,1967,10154878,Asia,59.371,2277.742396,23130196146.80769 +940,Malaysia,1972,11441462,Asia,63.01,2849.09478,32597809659.76836 +941,Malaysia,1977,12845381,Asia,65.256,3827.921571,49171111017.61355 +942,Malaysia,1982,14441916,Asia,68.0,4920.355951,71059367334.44211 +943,Malaysia,1987,16331785,Asia,69.5,5249.802653,85738648221.2256 +944,Malaysia,1992,18319502,Asia,70.693,7277.912802,133327738132.0646 +945,Malaysia,1997,20476091,Asia,71.938,10132.90964,207482379883.41724 +946,Malaysia,2002,22662365,Asia,73.044,10206.97794,231314259623.22812 +947,Malaysia,2007,24821286,Asia,74.241,12451.6558,309066109785.3588 +948,Mali,1952,3838168,Africa,33.685,452.3369807,1736145324.5393577 +949,Mali,1957,4241884,Africa,35.307,490.3821867,2080144351.6477427 +950,Mali,1962,4690372,Africa,36.936,496.1743428,2327242244.5875216 +951,Mali,1967,5212416,Africa,38.487,545.0098873,2840818256.7207165 +952,Mali,1972,5828158,Africa,39.977,581.3688761,3388309666.1932235 +953,Mali,1977,6491649,Africa,41.714,686.3952693,4455837163.556076 +954,Mali,1982,6998256,Africa,43.916,618.0140641,4325020632.17221 +955,Mali,1987,7634008,Africa,46.364,684.1715576,5222971144.090861 +956,Mali,1992,8416215,Africa,48.388,739.014375,6219703868.090625 +957,Mali,1997,9384984,Africa,49.903,790.2579846,7416558541.343246 +958,Mali,2002,10580176,Africa,51.818,951.4097518,10066082622.160316 +959,Mali,2007,12031795,Africa,54.467,1042.581557,12544127564.604815 +960,Mauritania,1952,1022556,Africa,40.543,743.1159097,759877632.1591932 +961,Mauritania,1957,1076852,Africa,42.338,846.1202613,911146295.6214277 +962,Mauritania,1962,1146757,Africa,44.248,1055.896036,1210856170.555252 +963,Mauritania,1967,1230542,Africa,46.289,1421.145193,1748778848.0846062 +964,Mauritania,1972,1332786,Africa,48.437,1586.851781,2114933837.791866 +965,Mauritania,1977,1456688,Africa,50.852,1497.492223,2181378951.337424 +966,Mauritania,1982,1622136,Africa,53.599,1481.150189,2402627042.983704 +967,Mauritania,1987,1841240,Africa,56.145,1421.603576,2617513368.27424 +968,Mauritania,1992,2119465,Africa,58.333,1361.369784,2885375609.24556 +969,Mauritania,1997,2444741,Africa,60.43,1483.136136,3625883720.260776 +970,Mauritania,2002,2828858,Africa,62.247,1579.019543,4466822066.371894 +971,Mauritania,2007,3270065,Africa,64.164,1803.151496,5896422596.76724 +972,Mauritius,1952,516556,Africa,50.986,1967.955707,1016559328.1850921 +973,Mauritius,1957,609816,Africa,58.089,2034.037981,1240388905.421496 +974,Mauritius,1962,701016,Africa,60.246,2529.067487,1772916773.4667919 +975,Mauritius,1967,789309,Africa,61.557,2475.387562,1953845681.1746578 +976,Mauritius,1972,851334,Africa,62.944,2575.484158,2192597230.1667724 +977,Mauritius,1977,913025,Africa,64.93,3710.982963,3388220219.793075 +978,Mauritius,1982,992040,Africa,66.711,3688.037739,3658680958.59756 +979,Mauritius,1987,1042663,Africa,68.74,4783.586903,4987669071.042689 +980,Mauritius,1992,1096202,Africa,69.745,6058.253846,6641069982.492891 +981,Mauritius,1997,1149818,Africa,70.736,7425.705295,8538209610.88631 +982,Mauritius,2002,1200206,Africa,71.954,9021.815894,10828037566.874163 +983,Mauritius,2007,1250882,Africa,72.801,10956.99112,13705902966.167841 +984,Mexico,1952,30144317,Americas,50.789,3478.125529,104845718511.96869 +985,Mexico,1957,35015548,Americas,55.19,4131.546641,144668369722.17426 +986,Mexico,1962,41121485,Americas,58.299,4581.609385,188402581601.13672 +987,Mexico,1967,47995559,Americas,60.11,5754.733883,276201669610.82556 +988,Mexico,1972,55984294,Americas,62.361,6809.40669,381219826098.52686 +989,Mexico,1977,63759976,Americas,65.032,7674.929108,489353295727.78143 +990,Mexico,1982,71640904,Americas,67.405,9611.147541,688551298314.6171 +991,Mexico,1987,80122492,Americas,69.498,8688.156003,696116709845.1195 +992,Mexico,1992,88111030,Americas,71.455,9472.384295,834621536788.2738 +993,Mexico,1997,95895146,Americas,73.67,9767.29753,936636422664.7893 +994,Mexico,2002,102479927,Americas,74.902,10742.44053,1100884521316.2412 +995,Mexico,2007,108700891,Americas,76.195,11977.57496,1301973070171.2893 +996,Mongolia,1952,800663,Asia,42.244,786.5668575,629774979.8265225 +997,Mongolia,1957,882134,Asia,45.248,912.6626085,805090717.486539 +998,Mongolia,1962,1010280,Asia,48.251,1056.353958,1067213276.6882399 +999,Mongolia,1967,1149500,Asia,51.253,1226.04113,1409334278.9350002 +1000,Mongolia,1972,1320500,Asia,53.754,1421.741975,1877410277.9875 +1001,Mongolia,1977,1528000,Asia,55.491,1647.511665,2517397824.12 +1002,Mongolia,1982,1756032,Asia,57.489,2000.603139,3513123131.384448 +1003,Mongolia,1987,2015133,Asia,60.222,2338.008304,4711397687.664432 +1004,Mongolia,1992,2312802,Asia,61.271,1785.402016,4129281353.408832 +1005,Mongolia,1997,2494803,Asia,63.625,1902.2521,4745744245.8363 +1006,Mongolia,2002,2674234,Asia,65.033,2140.739323,5724837882.703582 +1007,Mongolia,2007,2874127,Asia,66.803,3095.772271,8897642669.932417 +1008,Montenegro,1952,413834,Europe,59.164,2647.585601,1095660939.604234 +1009,Montenegro,1957,442829,Europe,61.448,3682.259903,1630611470.585587 +1010,Montenegro,1962,474528,Europe,63.728,4649.593785,2206362439.60848 +1011,Montenegro,1967,501035,Europe,67.178,5907.850937,2960040094.219795 +1012,Montenegro,1972,527678,Europe,70.636,7778.414017,4104497951.662526 +1013,Montenegro,1977,560073,Europe,73.066,9595.929905,5374421249.683065 +1014,Montenegro,1982,562548,Europe,74.101,11222.58762,6313244220.45576 +1015,Montenegro,1987,569473,Europe,74.865,11732.51017,6681347764.04041 +1016,Montenegro,1992,621621,Europe,75.435,7003.339037,4353422615.518977 +1017,Montenegro,1997,692651,Europe,75.445,6465.613349,4478413551.798199 +1018,Montenegro,2002,720230,Europe,73.981,6557.194282,4722688037.72486 +1019,Montenegro,2007,684736,Europe,74.543,9253.896111,6336475807.461696 +1020,Morocco,1952,9939217,Africa,42.873,1688.20357,16779421622.40469 +1021,Morocco,1957,11406350,Africa,45.423,1642.002314,18729253094.2939 +1022,Morocco,1962,13056604,Africa,47.924,1566.353493,20451257282.11777 +1023,Morocco,1967,14770296,Africa,50.335,1711.04477,25272637722.15192 +1024,Morocco,1972,16660670,Africa,52.862,1930.194975,32158341514.13325 +1025,Morocco,1977,18396941,Africa,55.73,2370.619976,43612155831.89342 +1026,Morocco,1982,20198730,Africa,59.65,2702.620356,54589498863.34788 +1027,Morocco,1987,22987397,Africa,62.677,2755.046991,63331358935.77243 +1028,Morocco,1992,25798239,Africa,65.393,2948.047252,76054427590.38922 +1029,Morocco,1997,28529501,Africa,67.66,2982.101858,85077877939.91286 +1030,Morocco,2002,31167783,Africa,69.615,3258.495584,101560083268.57027 +1031,Morocco,2007,33757175,Africa,71.164,3820.17523,128958323769.77524 +1032,Mozambique,1952,6446316,Africa,31.286,468.5260381,3020266895.8206396 +1033,Mozambique,1957,7038035,Africa,33.779,495.5868333,3487957478.3045654 +1034,Mozambique,1962,7788944,Africa,36.161,556.6863539,4335998836.091281 +1035,Mozambique,1967,8680909,Africa,38.113,566.6691539,4919203358.112895 +1036,Mozambique,1972,9809596,Africa,40.328,724.9178037,7111150787.504306 +1037,Mozambique,1977,11127868,Africa,42.495,502.3197334,5589747687.070392 +1038,Mozambique,1982,12587223,Africa,42.795,462.2114149,5817958152.491823 +1039,Mozambique,1987,12891952,Africa,42.861,389.8761846,5026265057.806339 +1040,Mozambique,1992,13160731,Africa,44.284,410.8968239,5407702568.102271 +1041,Mozambique,1997,16603334,Africa,46.344,472.3460771,7842519681.681051 +1042,Mozambique,2002,18473780,Africa,44.026,633.6179466,11705318549.540148 +1043,Mozambique,2007,19951656,Africa,42.082,823.6856205,16433892152.362549 +1044,Myanmar,1952,20092996,Asia,36.319,331.0,6650781676.0 +1045,Myanmar,1957,21731844,Asia,41.905,350.0,7606145400.0 +1046,Myanmar,1962,23634436,Asia,45.108,388.0,9170161168.0 +1047,Myanmar,1967,25870271,Asia,49.379,349.0,9028724579.0 +1048,Myanmar,1972,28466390,Asia,53.07,357.0,10162501230.0 +1049,Myanmar,1977,31528087,Asia,56.059,371.0,11696920277.0 +1050,Myanmar,1982,34680442,Asia,58.056,424.0,14704507408.0 +1051,Myanmar,1987,38028578,Asia,58.339,385.0,14641002530.0 +1052,Myanmar,1992,40546538,Asia,59.32,347.0,14069648686.0 +1053,Myanmar,1997,43247867,Asia,60.328,415.0,17947864805.0 +1054,Myanmar,2002,45598081,Asia,59.908,611.0,27860427491.0 +1055,Myanmar,2007,47761980,Asia,62.069,944.0,45087309120.0 +1056,Namibia,1952,485831,Africa,41.725,2423.780443,1177547676.4031332 +1057,Namibia,1957,548080,Africa,45.226,2621.448058,1436763251.62864 +1058,Namibia,1962,621392,Africa,48.386,3173.215595,1971810785.00824 +1059,Namibia,1967,706640,Africa,51.159,3793.694753,2680776460.25992 +1060,Namibia,1972,821782,Africa,53.867,3746.080948,3078461893.609336 +1061,Namibia,1977,977026,Africa,56.437,3876.485958,3787427569.6009083 +1062,Namibia,1982,1099010,Africa,58.968,4191.100511,4606061372.59411 +1063,Namibia,1987,1278184,Africa,60.835,3693.731337,4721268295.252008 +1064,Namibia,1992,1554253,Africa,61.999,3804.537999,5913214598.559747 +1065,Namibia,1997,1774766,Africa,58.909,3899.52426,6920743072.82316 +1066,Namibia,2002,1972153,Africa,51.479,4072.324751,8031247474.658903 +1067,Namibia,2007,2055080,Africa,52.906,4811.060429,9887114066.42932 +1068,Nepal,1952,9182536,Asia,36.157,545.8657229,5012431651.695274 +1069,Nepal,1957,9682338,Asia,37.686,597.9363558,5789421899.343861 +1070,Nepal,1962,10332057,Asia,39.393,652.3968593,6740601536.90858 +1071,Nepal,1967,11261690,Asia,41.472,676.4422254,7617882645.364925 +1072,Nepal,1972,12412593,Asia,43.971,674.7881296,8375870413.956054 +1073,Nepal,1977,13933198,Asia,46.748,694.1124398,9671206057.996479 +1074,Nepal,1982,15796314,Asia,49.594,718.3730947,11347646973.032936 +1075,Nepal,1987,17917180,Asia,52.537,775.6324501,13897146222.282719 +1076,Nepal,1992,20326209,Asia,55.727,897.7403604,18247658193.225723 +1077,Nepal,1997,23001113,Asia,59.426,1010.892138,23251644296.949596 +1078,Nepal,2002,25873917,Asia,61.34,1057.206311,27354068342.690186 +1079,Nepal,2007,28901790,Asia,63.785,1091.359778,31542251118.20262 +1080,Netherlands,1952,10381988,Europe,72.13,8941.571858,92831291730.89369 +1081,Netherlands,1957,11026383,Europe,72.99,11276.19344,124335627651.52751 +1082,Netherlands,1962,11805689,Europe,73.23,12790.84956,151004791951.14685 +1083,Netherlands,1967,12596822,Europe,73.82,15363.25136,193528142723.17792 +1084,Netherlands,1972,13329874,Europe,73.75,18794.74567,250531591643.14557 +1085,Netherlands,1977,13852989,Europe,75.24,21209.0592,293808863797.9488 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Zealand,1987,3317166,Oceania,74.32,19007.19129,63050008702.684135 +1100,New Zealand,1992,3437674,Oceania,76.33,18363.32494,63127124699.78956 +1101,New Zealand,1997,3676187,Oceania,77.55,21050.41377,77385257445.89499 +1102,New Zealand,2002,3908037,Oceania,79.11,23189.80135,90626601698.44995 +1103,New Zealand,2007,4115771,Oceania,80.204,25185.00911,103655730129.67381 +1104,Nicaragua,1952,1165790,Americas,42.314,3112.363948,3628362766.93892 +1105,Nicaragua,1957,1358828,Americas,45.432,3457.415947,4698033596.430116 +1106,Nicaragua,1962,1590597,Americas,48.632,3634.364406,5780809121.090383 +1107,Nicaragua,1967,1865490,Americas,51.884,4643.393534,8662204203.74166 +1108,Nicaragua,1972,2182908,Americas,55.151,4688.593267,10234767751.280436 +1109,Nicaragua,1977,2554598,Americas,57.47,5486.371089,14015472611.217222 +1110,Nicaragua,1982,2979423,Americas,59.298,3470.338156,10339605319.763987 +1111,Nicaragua,1987,3344353,Americas,62.008,2955.984375,9885855212.484375 +1112,Nicaragua,1992,4017939,Americas,65.843,2170.151724,8719537247.776834 +1113,Nicaragua,1997,4609572,Americas,68.426,2253.023004,10385471754.594288 +1114,Nicaragua,2002,5146848,Americas,70.836,2474.548819,12736126639.972513 +1115,Nicaragua,2007,5675356,Americas,72.899,2749.320965,15603375234.63854 +1116,Niger,1952,3379468,Africa,37.444,761.879376,2574746971.051968 +1117,Niger,1957,3692184,Africa,38.598,835.5234025,3084906138.33606 +1118,Niger,1962,4076008,Africa,39.487,997.7661127,4066902657.4941015 +1119,Niger,1967,4534062,Africa,40.118,1054.384891,4780646467.657242 +1120,Niger,1972,5060262,Africa,40.546,954.2092363,4828548738.4979105 +1121,Niger,1977,5682086,Africa,41.291,808.8970728,4596222732.797861 +1122,Niger,1982,6437188,Africa,42.598,909.7221354,5856052413.331255 +1123,Niger,1987,7332638,Africa,44.555,668.3000228,4900402142.5841465 +1124,Niger,1992,8392818,Africa,47.391,581.182725,4877760835.66905 +1125,Niger,1997,9666252,Africa,51.313,580.3052092,5609376389.039919 +1126,Niger,2002,11140655,Africa,54.496,601.0745012,6696363647.1662855 +1127,Niger,2007,12894865,Africa,56.867,619.6768924,7990649871.117527 +1128,Nigeria,1952,33119096,Africa,36.324,1077.281856,35678601207.92218 +1129,Nigeria,1957,37173340,Africa,37.802,1100.592563,40912701545.870415 +1130,Nigeria,1962,41871351,Africa,39.36,1150.927478,48190888406.88278 +1131,Nigeria,1967,47287752,Africa,41.04,1014.514104,47974091350.45421 +1132,Nigeria,1972,53740085,Africa,42.821,1698.388838,91271560517.17123 +1133,Nigeria,1977,62209173,Africa,44.514,1981.951806,123295582777.11644 +1134,Nigeria,1982,73039376,Africa,45.826,1576.97375,115181178668.38 +1135,Nigeria,1987,81551520,Africa,46.886,1385.029563,112951266107.58577 +1136,Nigeria,1992,93364244,Africa,47.472,1619.848217,151235904174.95294 +1137,Nigeria,1997,106207839,Africa,47.464,1624.941275,172581501319.65472 +1138,Nigeria,2002,119901274,Africa,46.608,1615.286395,193674896635.36725 +1139,Nigeria,2007,135031164,Africa,46.859,2013.977305,271949699763.733 +1140,Norway,1952,3327728,Europe,72.67,10095.42172,33594817529.45216 +1141,Norway,1957,3491938,Europe,73.44,11653.97304,40694951309.351524 +1142,Norway,1962,3638919,Europe,73.47,13450.40151,48944921612.36769 +1143,Norway,1967,3786019,Europe,74.08,16361.87647,61946375191.07293 +1144,Norway,1972,3933004,Europe,74.34,18965.05551,74589639181.05203 +1145,Norway,1977,4043205,Europe,75.37,23311.34939,94252564410.39494 +1146,Norway,1982,4114787,Europe,75.97,26298.63531,108213282691.32898 +1147,Norway,1987,4186147,Europe,75.89,31540.9748,132035157036.0956 +1148,Norway,1992,4286357,Europe,77.32,33965.66115,145588949429.93054 +1149,Norway,1997,4405672,Europe,78.32,41283.16433,181880081160.07977 +1150,Norway,2002,4535591,Europe,79.05,44683.97525,202668235988.12277 +1151,Norway,2007,4627926,Europe,80.196,49357.19017,228421423674.68744 +1152,Oman,1952,507833,Asia,37.578,1828.230307,928435681.4947311 +1153,Oman,1957,561977,Asia,40.08,2242.746551,1260371978.491327 +1154,Oman,1962,628164,Asia,43.165,2924.638113,1837152375.614532 +1155,Oman,1967,714775,Asia,46.988,4720.942687,3374411809.100425 +1156,Oman,1972,829050,Asia,52.143,10618.03855,8802884859.877499 +1157,Oman,1977,1004533,Asia,57.367,11848.34392,11902052462.989359 +1158,Oman,1982,1301048,Asia,62.728,12954.79101,16854804933.978481 +1159,Oman,1987,1593882,Asia,67.734,18115.22313,28873528072.89066 +1160,Oman,1992,1915208,Asia,71.197,18616.70691,35654866007.68728 +1161,Oman,1997,2283635,Asia,72.499,19702.05581,44992304219.66936 +1162,Oman,2002,2713462,Asia,74.193,19774.83687,53658268402.94394 +1163,Oman,2007,3204897,Asia,75.64,22316.19287,71521099580.48439 +1164,Pakistan,1952,41346560,Asia,43.436,684.5971438,28305736881.95533 +1165,Pakistan,1957,46679944,Asia,45.557,747.0835292,34873817306.378365 +1166,Pakistan,1962,53100671,Asia,47.67,803.3427418,42658038632.559746 +1167,Pakistan,1967,60641899,Asia,49.8,942.4082588,57149426446.91546 +1168,Pakistan,1972,69325921,Asia,51.929,1049.938981,72787986851.6265 +1169,Pakistan,1977,78152686,Asia,54.043,1175.921193,91901399757.27438 +1170,Pakistan,1982,91462088,Asia,56.158,1443.429832,132019106316.20921 +1171,Pakistan,1987,105186881,Asia,58.245,1704.686583,179310664748.31763 +1172,Pakistan,1992,120065004,Asia,60.838,1971.829464,236747712482.47784 +1173,Pakistan,1997,135564834,Asia,61.818,2049.350521,277819863187.17847 +1174,Pakistan,2002,153403524,Asia,63.61,2092.712441,321029463168.0421 +1175,Pakistan,2007,169270617,Asia,65.483,2605.94758,441110354736.25684 +1176,Panama,1952,940080,Americas,55.191,2480.380334,2331755944.38672 +1177,Panama,1957,1063506,Americas,59.201,2961.800905,3149893033.27293 +1178,Panama,1962,1215725,Americas,61.817,3536.540301,4299460457.433225 +1179,Panama,1967,1405486,Americas,64.071,4421.009084,6213666373.434824 +1180,Panama,1972,1616384,Americas,66.216,5364.249663,8670687327.278591 +1181,Panama,1977,1839782,Americas,68.681,5351.912144,9846351628.112608 +1182,Panama,1982,2036305,Americas,70.472,7009.601598,14273686782.01539 +1183,Panama,1987,2253639,Americas,71.523,7034.779161,15853852673.61688 +1184,Panama,1992,2484997,Americas,72.462,6618.74305,16447556623.02085 +1185,Panama,1997,2734531,Americas,73.738,7113.692252,19452611987.55381 +1186,Panama,2002,2990875,Americas,74.712,7356.031934,22000972010.60225 +1187,Panama,2007,3242173,Americas,75.537,9809.185636,31803076821.027027 +1188,Paraguay,1952,1555876,Americas,62.649,1952.308701,3037550252.477076 +1189,Paraguay,1957,1770902,Americas,63.196,2046.154706,3623539461.164812 +1190,Paraguay,1962,2009813,Americas,64.361,2148.027146,4317132882.3836975 +1191,Paraguay,1967,2287985,Americas,64.951,2299.376311,5260938508.923335 +1192,Paraguay,1972,2614104,Americas,65.815,2523.337977,6596267899.027608 +1193,Paraguay,1977,2984494,Americas,66.353,3248.373311,9694750656.439634 +1194,Paraguay,1982,3366439,Americas,66.874,4258.503604,14335992614.146158 +1195,Paraguay,1987,3886512,Americas,67.378,3998.875695,15541678375.125841 +1196,Paraguay,1992,4483945,Americas,68.225,4196.411078,18816476471.14271 +1197,Paraguay,1997,5154123,Americas,69.4,4247.400261,21891623375.4261 +1198,Paraguay,2002,5884491,Americas,70.755,3783.674243,22264997029.865314 +1199,Paraguay,2007,6667147,Americas,71.752,4172.838464,27820927446.74221 +1200,Peru,1952,8025700,Americas,43.902,3758.523437,30164781548.3309 +1201,Peru,1957,9146100,Americas,46.263,4245.256698,38827542285.577805 +1202,Peru,1962,10516500,Americas,49.096,4957.037982,52130689937.702995 +1203,Peru,1967,12132200,Americas,51.445,5788.09333,70222305898.226 +1204,Peru,1972,13954700,Americas,55.448,5937.827283,82860598386.0801 +1205,Peru,1977,15990099,Americas,58.447,6281.290855,100438462619.24464 +1206,Peru,1982,18125129,Americas,61.406,6434.501797,116626175121.35681 +1207,Peru,1987,20195924,Americas,64.134,6360.943444,128465130363.32227 +1208,Peru,1992,22430449,Americas,66.458,4446.380924,99734320550.35487 +1209,Peru,1997,24748122,Americas,68.386,5838.347657,144488140093.85016 +1210,Peru,2002,26769436,Americas,69.906,5909.020073,158181134666.88882 +1211,Peru,2007,28674757,Americas,71.421,7408.905561,212448566597.62366 +1212,Philippines,1952,22438691,Asia,47.752,1272.880995,28561783326.577545 +1213,Philippines,1957,26072194,Asia,51.334,1547.944844,40358318274.06774 +1214,Philippines,1962,30325264,Asia,54.757,1649.552153,50023104521.49339 +1215,Philippines,1967,35356600,Asia,56.393,1814.12743,64141377891.538 +1216,Philippines,1972,40850141,Asia,58.065,1989.37407,81266211261.24387 +1217,Philippines,1977,46850962,Asia,60.06,2373.204287,111186903868.47409 +1218,Philippines,1982,53456774,Asia,62.082,2603.273765,139162617315.7341 +1219,Philippines,1987,60017788,Asia,64.151,2189.634995,131417048927.29105 +1220,Philippines,1992,67185766,Asia,66.458,2279.324017,153138130044.342 +1221,Philippines,1997,75012988,Asia,68.564,2536.534925,190273063890.6059 +1222,Philippines,2002,82995088,Asia,70.303,2650.921068,220013427319.714 +1223,Philippines,2007,91077287,Asia,71.688,3190.481016,290580355162.2836 +1224,Poland,1952,25730551,Europe,61.31,4029.329699,103676873315.93414 +1225,Poland,1957,28235346,Europe,65.77,4734.253019,133673272043.00957 +1226,Poland,1962,30329617,Europe,67.64,5338.752143,161922307755.11923 +1227,Poland,1967,31785378,Europe,69.61,6557.152776,208421579588.90933 +1228,Poland,1972,33039545,Europe,70.85,8006.506993,264531348088.03818 +1229,Poland,1977,34621254,Europe,70.67,9508.141454,329183780346.86334 +1230,Poland,1982,36227381,Europe,71.32,8451.531004,306176833715.2205 +1231,Poland,1987,37740710,Europe,70.98,9082.351172,342774381700.6121 +1232,Poland,1992,38370697,Europe,70.99,7738.881247,296946267447.61914 +1233,Poland,1997,38654957,Europe,72.75,10159.58368,392718270288.30176 +1234,Poland,2002,38625976,Europe,74.67,12002.23908,463598198650.34204 +1235,Poland,2007,38518241,Europe,75.563,15389.92468,592792827796.0879 +1236,Portugal,1952,8526050,Europe,59.82,3068.319867,26160648602.03535 +1237,Portugal,1957,8817650,Europe,61.51,3774.571743,33282852529.663948 +1238,Portugal,1962,9019800,Europe,64.39,4727.954889,42645207507.8022 +1239,Portugal,1967,9103000,Europe,66.6,6361.517993,57908898290.27901 +1240,Portugal,1972,8970450,Europe,69.26,9022.247417,80933619341.82765 +1241,Portugal,1977,9662600,Europe,70.41,10172.48572,98292660518.072 +1242,Portugal,1982,9859650,Europe,72.77,11753.84291,115888777247.5815 +1243,Portugal,1987,9915289,Europe,74.06,13039.30876,129288514715.63164 +1244,Portugal,1992,9927680,Europe,74.86,16207.26663,160900556777.3184 +1245,Portugal,1997,10156415,Europe,75.97,17641.03156,179169637551.4574 +1246,Portugal,2002,10433867,Europe,77.29,19970.90787,208373796584.83328 +1247,Portugal,2007,10642836,Europe,78.098,20509.64777,218280817633.8757 +1248,Puerto Rico,1952,2227000,Americas,64.28,3081.959785,6863524441.195 +1249,Puerto Rico,1957,2260000,Americas,68.54,3907.156189,8830172987.14 +1250,Puerto Rico,1962,2448046,Americas,69.62,5108.34463,12505462638.09298 +1251,Puerto Rico,1967,2648961,Americas,71.1,6929.277714,18355386422.555153 +1252,Puerto Rico,1972,2847132,Americas,72.16,9123.041742,25974504080.983944 +1253,Puerto Rico,1977,3080828,Americas,73.44,9770.524921,30101306751.314587 +1254,Puerto Rico,1982,3279001,Americas,73.75,10330.98915,33875323753.83915 +1255,Puerto Rico,1987,3444468,Americas,74.63,12281.34191,42302689206.05388 +1256,Puerto Rico,1992,3585176,Americas,73.911,14641.58711,52492666708.68136 +1257,Puerto Rico,1997,3759430,Americas,74.917,16999.4333,63908179531.019005 +1258,Puerto Rico,2002,3859606,Americas,77.778,18855.60618,72775210745.96507 +1259,Puerto Rico,2007,3942491,Americas,78.746,19328.70901,76203261313.5439 +1260,Reunion,1952,257700,Africa,52.724,2718.885295,700656740.5215 +1261,Reunion,1957,308700,Africa,55.09,2769.451844,854929784.2428 +1262,Reunion,1962,358900,Africa,57.666,3173.72334,1139049306.726 +1263,Reunion,1967,414024,Africa,60.542,4021.175739,1664863264.1637359 +1264,Reunion,1972,461633,Africa,64.274,5047.658563,2330165765.413379 +1265,Reunion,1977,492095,Africa,67.064,4319.804067,2125753982.350365 +1266,Reunion,1982,517810,Africa,69.885,5267.219353,2727418853.1769304 +1267,Reunion,1987,562035,Africa,71.913,5303.377488,2980683766.46808 +1268,Reunion,1992,622191,Africa,73.615,6101.255823,3796146461.7681932 +1269,Reunion,1997,684810,Africa,74.772,6071.941411,4158126197.6669097 +1270,Reunion,2002,743981,Africa,75.744,6316.1652,4699106901.661201 +1271,Reunion,2007,798094,Africa,76.442,7670.122558,6121478792.804452 +1272,Romania,1952,16630000,Europe,61.05,3144.613186,52294917283.18 +1273,Romania,1957,17829327,Europe,64.1,3943.370225,70307637223.58858 +1274,Romania,1962,18680721,Europe,66.8,4734.997586,88453168839.73952 +1275,Romania,1967,19284814,Europe,66.8,6470.866545,124789457739.14763 +1276,Romania,1972,20662648,Europe,69.21,8011.414402,165537035770.6565 +1277,Romania,1977,21658597,Europe,69.46,9356.39724,202646437193.0723 +1278,Romania,1982,22356726,Europe,69.66,9605.314053,214743374426.87048 +1279,Romania,1987,22686371,Europe,69.53,9696.273295,219973253287.76245 +1280,Romania,1992,22797027,Europe,69.36,6598.409903,150424128715.75836 +1281,Romania,1997,22562458,Europe,69.72,7346.547557,165756170699.8151 +1282,Romania,2002,22404337,Europe,71.322,7885.360081,176666264621.0713 +1283,Romania,2007,22276056,Europe,72.476,10808.47561,240770207962.99414 +1284,Rwanda,1952,2534927,Africa,40.0,493.3238752,1250540010.9891102 +1285,Rwanda,1957,2822082,Africa,41.5,540.2893983,1524740985.7332606 +1286,Rwanda,1962,3051242,Africa,43.0,597.4730727,1823034933.2912934 +1287,Rwanda,1967,3451079,Africa,44.1,510.9637142,1763376143.837622 +1288,Rwanda,1972,3992121,Africa,44.6,590.5806638,2357669470.14992 +1289,Rwanda,1977,4657072,Africa,45.0,670.0806011,3120613605.125979 +1290,Rwanda,1982,5507565,Africa,46.218,881.5706467,4855307638.792286 +1291,Rwanda,1987,6349365,Africa,44.02,847.991217,5384205753.527205 +1292,Rwanda,1992,7290203,Africa,23.599,737.0685949,5373379681.745765 +1293,Rwanda,1997,7212583,Africa,36.087,589.9445051,4255023708.4276733 +1294,Rwanda,2002,7852401,Africa,43.413,785.6537648,6169268408.369285 +1295,Rwanda,2007,8860588,Africa,46.242,863.0884639,7647471286.170773 +1296,Sao Tome and Principe,1952,60011,Africa,46.471,879.5835855,52784690.5494405 +1297,Sao Tome and Principe,1957,61325,Africa,48.945,860.7369026,52784690.551945 +1298,Sao Tome and Principe,1962,65345,Africa,51.893,1071.551119,70020507.87105499 +1299,Sao Tome and Principe,1967,70787,Africa,54.425,1384.840593,98028711.05669099 +1300,Sao Tome and Principe,1972,76595,Africa,56.48,1532.985254,117419005.53013 +1301,Sao Tome and Principe,1977,86796,Africa,58.55,1737.561657,150813401.580972 +1302,Sao Tome and Principe,1982,98593,Africa,60.351,1890.218117,186362274.80938098 +1303,Sao Tome and Principe,1987,110812,Africa,61.728,1516.525457,168049218.941084 +1304,Sao Tome and Principe,1992,125911,Africa,62.742,1428.777814,179898843.338554 +1305,Sao Tome and Principe,1997,145608,Africa,63.306,1339.076036,194980183.449888 +1306,Sao Tome and Principe,2002,170372,Africa,64.337,1353.09239,230529056.66908 +1307,Sao Tome and Principe,2007,199579,Africa,65.528,1598.435089,319014076.627531 +1308,Saudi Arabia,1952,4005677,Asia,39.875,6459.554823,25874890184.73017 +1309,Saudi Arabia,1957,4419650,Asia,42.868,8157.591248,36053698159.2232 +1310,Saudi Arabia,1962,4943029,Asia,45.914,11626.41975,57469729990.422745 +1311,Saudi Arabia,1967,5618198,Asia,49.901,16903.04886,94964675299.15428 +1312,Saudi Arabia,1972,6472756,Asia,53.886,24837.42865,160766615318.8594 +1313,Saudi Arabia,1977,8128505,Asia,58.69,34167.7626,277732829132.913 +1314,Saudi Arabia,1982,11254672,Asia,63.012,33693.17525,379205636077.268 +1315,Saudi Arabia,1987,14619745,Asia,66.295,21198.26136,309913175526.5532 +1316,Saudi Arabia,1992,16945857,Asia,68.768,24841.61777,420962502379.0789 +1317,Saudi Arabia,1997,21229759,Asia,70.533,20586.69019,437050471341.36426 +1318,Saudi Arabia,2002,24501530,Asia,71.626,19014.54118,465885351158.00543 +1319,Saudi Arabia,2007,27601038,Asia,72.777,21654.83194,597695839259.5537 +1320,Senegal,1952,2755589,Africa,37.278,1450.356983,3996587748.4279866 +1321,Senegal,1957,3054547,Africa,39.329,1567.653006,4788469786.518282 +1322,Senegal,1962,3430243,Africa,41.454,1654.988723,5677013482.149689 +1323,Senegal,1967,3965841,Africa,43.563,1612.404632,6394540398.175512 +1324,Senegal,1972,4588696,Africa,45.815,1597.712056,7331414920.518976 +1325,Senegal,1977,5260855,Africa,48.879,1561.769116,8216240862.75418 +1326,Senegal,1982,6147783,Africa,52.379,1518.479984,9335285431.475471 +1327,Senegal,1987,7171347,Africa,55.769,1441.72072,10339079560.20984 +1328,Senegal,1992,8307920,Africa,58.196,1367.899369,11364398525.70248 +1329,Senegal,1997,9535314,Africa,60.187,1392.368347,13276669392.30596 +1330,Senegal,2002,10870037,Africa,61.6,1519.635262,16518491524.444695 +1331,Senegal,2007,12267493,Africa,63.062,1712.472136,21007739941.07505 +1332,Serbia,1952,6860147,Europe,57.996,3581.459448,24569338287.818855 +1333,Serbia,1957,7271135,Europe,61.685,4981.090891,36218184315.731285 +1334,Serbia,1962,7616060,Europe,64.531,6289.629157,47902193037.461426 +1335,Serbia,1967,7971222,Europe,66.914,7991.707066,63703671182.05465 +1336,Serbia,1972,8313288,Europe,68.7,10522.06749,87472977399.80711 +1337,Serbia,1977,8686367,Europe,70.3,12980.66956,112754859703.88852 +1338,Serbia,1982,9032824,Europe,70.162,15181.0927,137128138486.78479 +1339,Serbia,1987,9230783,Europe,71.218,15870.87851,146500635545.17334 +1340,Serbia,1992,9826397,Europe,71.659,9325.068238,91631822558.67848 +1341,Serbia,1997,10336594,Europe,72.232,7914.320304,81807115768.40457 +1342,Serbia,2002,10111559,Europe,73.213,7236.075251,73168001828.92632 +1343,Serbia,2007,10150265,Europe,74.002,9786.534714,99335920778.79921 +1344,Sierra Leone,1952,2143249,Africa,30.331,879.7877358,1885604184.965614 +1345,Sierra Leone,1957,2295678,Africa,31.57,1004.484437,2305972823.363286 +1346,Sierra Leone,1962,2467895,Africa,32.767,1116.639877,2755749969.248915 +1347,Sierra Leone,1967,2662190,Africa,34.113,1206.043465,3210716852.08835 +1348,Sierra Leone,1972,2879013,Africa,35.4,1353.759762,3897491953.674906 +1349,Sierra Leone,1977,3140897,Africa,36.788,1348.285159,4234824811.047623 +1350,Sierra Leone,1982,3464522,Africa,38.445,1465.010784,5075562091.405249 +1351,Sierra Leone,1987,3868905,Africa,40.006,1294.447788,5008095519.23214 +1352,Sierra Leone,1992,4260884,Africa,38.333,1068.696278,4553590871.789752 +1353,Sierra Leone,1997,4578212,Africa,39.897,574.6481576,2630861090.902211 +1354,Sierra Leone,2002,5359092,Africa,41.012,699.489713,3748629725.0205965 +1355,Sierra Leone,2007,6144562,Africa,42.568,862.5407561,5299935153.3833275 +1356,Singapore,1952,1127000,Asia,60.396,2315.138227,2609160781.829 +1357,Singapore,1957,1445929,Asia,63.179,2843.104409,4110927115.000961 +1358,Singapore,1962,1750200,Asia,65.798,3674.735572,6431522198.1144 +1359,Singapore,1967,1977600,Asia,67.946,4977.41854,9843342904.703999 +1360,Singapore,1972,2152400,Asia,69.521,8597.756202,18505810449.1848 +1361,Singapore,1977,2325300,Asia,70.795,11210.08948,26066821067.844 +1362,Singapore,1982,2651869,Asia,71.76,15169.16112,40226628130.133286 +1363,Singapore,1987,2794552,Asia,73.56,18861.53081,52709528648.14712 +1364,Singapore,1992,3235865,Asia,75.788,24769.8912,80152023987.888 +1365,Singapore,1997,3802309,Asia,77.158,33519.4766,127451407551.4694 +1366,Singapore,2002,4197776,Asia,78.77,36023.1054,151216927293.5904 +1367,Singapore,2007,4553009,Asia,79.972,47143.17964,214643321189.53677 +1368,Slovak Republic,1952,3558137,Europe,64.36,5074.659104,18056332320.32925 +1369,Slovak Republic,1957,3844277,Europe,67.45,6093.26298,23424190728.96546 +1370,Slovak Republic,1962,4237384,Europe,70.33,7481.107598,31700325638.04363 +1371,Slovak Republic,1967,4442238,Europe,70.98,8412.902397,37372114718.244484 +1372,Slovak Republic,1972,4593433,Europe,70.35,9674.167626,44437640820.80006 +1373,Slovak Republic,1977,4827803,Europe,70.45,10922.66404,52732470220.304115 +1374,Slovak Republic,1982,5048043,Europe,70.8,11348.54585,57287947438.27155 +1375,Slovak Republic,1987,5199318,Europe,71.08,12037.26758,62585581999.51044 +1376,Slovak Republic,1992,5302888,Europe,71.38,9498.467723,50369310506.68402 +1377,Slovak Republic,1997,5383010,Europe,72.71,12126.23065,65275620851.2565 +1378,Slovak Republic,2002,5410052,Europe,73.8,13638.77837,73786500198.17525 +1379,Slovak Republic,2007,5447502,Europe,74.663,18678.31435,101750154778.25371 +1380,Slovenia,1952,1489518,Europe,65.57,4215.041741,6278380543.970838 +1381,Slovenia,1957,1533070,Europe,67.85,5862.276629,8987280431.62103 +1382,Slovenia,1962,1582962,Europe,69.15,7402.303395,11717564986.75599 +1383,Slovenia,1967,1646912,Europe,69.18,9405.489397,15490013353.792063 +1384,Slovenia,1972,1694510,Europe,69.82,12383.4862,20983941200.761997 +1385,Slovenia,1977,1746919,Europe,70.97,15277.03017,26687734267.54623 +1386,Slovenia,1982,1861252,Europe,71.063,17866.72175,33254471590.631 +1387,Slovenia,1987,1945870,Europe,72.25,18678.53492,36346000744.780396 +1388,Slovenia,1992,1999210,Europe,73.64,14214.71681,28418203993.7201 +1389,Slovenia,1997,2011612,Europe,75.13,17161.10735,34521489478.548195 +1390,Slovenia,2002,2011497,Europe,76.66,20660.01936,41557566962.58192 +1391,Slovenia,2007,2009245,Europe,77.926,25768.25759,51774742721.419556 +1392,Somalia,1952,2526994,Africa,32.978,1135.749842,2870033036.2349477 +1393,Somalia,1957,2780415,Africa,34.977,1258.147413,3498171939.316395 +1394,Somalia,1962,3080153,Africa,36.981,1369.488336,4218233606.5954075 +1395,Somalia,1967,3428839,Africa,38.977,1284.73318,4405143232.17802 +1396,Somalia,1972,3840161,Africa,40.973,1254.576127,4817774314.436447 +1397,Somalia,1977,4353666,Africa,41.974,1450.992513,6317136770.102657 +1398,Somalia,1982,5828892,Africa,42.955,1176.807031,6859481088.539652 +1399,Somalia,1987,6921858,Africa,44.501,1093.244963,7567286393.101254 +1400,Somalia,1992,6099799,Africa,39.658,926.9602964,5654271489.020423 +1401,Somalia,1997,6633514,Africa,43.795,930.5964284,6173124436.141397 +1402,Somalia,2002,7753310,Africa,45.936,882.0818218,6839053809.780157 +1403,Somalia,2007,9118773,Africa,48.159,926.1410683,8445270167.805196 +1404,South Africa,1952,14264935,Africa,45.009,4725.295531,67406033605.50548 +1405,South Africa,1957,16151549,Africa,47.985,5487.104219,88625232661.28523 +1406,South Africa,1962,18356657,Africa,49.951,5768.729717,105894592740.67607 +1407,South Africa,1967,20997321,Africa,51.927,7114.477971,149384977704.5157 +1408,South Africa,1972,23935810,Africa,53.696,7765.962636,185884606122.39517 +1409,South Africa,1977,27129932,Africa,55.527,8028.651439,217816767591.77216 +1410,South Africa,1982,31140029,Africa,58.161,8568.266228,266816058819.64062 +1411,South Africa,1987,35933379,Africa,60.834,7825.823398,281208278147.40186 +1412,South Africa,1992,39964159,Africa,61.888,7225.069258,288743816612.72406 +1413,South Africa,1997,42835005,Africa,60.236,7479.188244,320371065827.6812 +1414,South Africa,2002,44433622,Africa,53.365,7710.946444,342625279554.9402 +1415,South Africa,2007,43997828,Africa,49.339,9269.657808,407844809855.241 +1416,Spain,1952,28549870,Europe,64.94,3834.034742,109461193459.58354 +1417,Spain,1957,29841614,Europe,66.66,4564.80241,136221071505.48975 +1418,Spain,1962,31158061,Europe,69.69,5693.843879,177409134906.3586 +1419,Spain,1967,32850275,Europe,71.44,7993.512294,262589077073.78085 +1420,Spain,1972,34513161,Europe,73.06,10638.75131,367176936800.9909 +1421,Spain,1977,36439000,Europe,74.39,13236.92117,482340170513.63 +1422,Spain,1982,37983310,Europe,76.3,13926.16997,528962031083.20074 +1423,Spain,1987,38880702,Europe,76.9,15764.98313,612953611112.5573 +1424,Spain,1992,39549438,Europe,77.57,18603.06452,735740746843.7397 +1425,Spain,1997,39855442,Europe,78.77,20445.29896,814856426872.9403 +1426,Spain,2002,40152517,Europe,79.78,24835.47166,997206698031.1682 +1427,Spain,2007,40448191,Europe,80.941,28821.0637,1165759889360.7666 +1428,Sri Lanka,1952,7982342,Asia,57.593,1083.53203,8649123231.41426 +1429,Sri Lanka,1957,9128546,Asia,61.456,1072.546602,9790790993.50069 +1430,Sri Lanka,1962,10421936,Asia,62.192,1074.47196,11198078000.91456 +1431,Sri Lanka,1967,11737396,Asia,64.266,1135.514326,13327981307.935097 +1432,Sri Lanka,1972,13016733,Asia,65.042,1213.39553,15794445637.40349 +1433,Sri Lanka,1977,14116836,Asia,65.949,1348.775651,19040444665.960236 +1434,Sri Lanka,1982,15410151,Asia,68.757,1648.079789,25397158408.538136 +1435,Sri Lanka,1987,16495304,Asia,69.011,1876.766827,30957839348.480408 +1436,Sri Lanka,1992,17587060,Asia,70.379,2153.739222,37877940921.66732 +1437,Sri Lanka,1997,18698655,Asia,70.457,2664.477257,49822140983.989334 +1438,Sri Lanka,2002,19576783,Asia,70.815,3015.378833,59031417076.43424 +1439,Sri Lanka,2007,20378239,Asia,72.396,3970.095407,80903553056.64827 +1440,Sudan,1952,8504667,Africa,38.635,1615.991129,13743466427.099043 +1441,Sudan,1957,9753392,Africa,39.624,1770.337074,17266791454.855007 +1442,Sudan,1962,11183227,Africa,40.87,1959.593767,21914581924.14611 +1443,Sudan,1967,12716129,Africa,42.858,1687.997641,21464795754.651688 +1444,Sudan,1972,14597019,Africa,45.083,1659.652775,24225983090.077724 +1445,Sudan,1977,17104986,Africa,47.8,2202.988423,37682086133.57707 +1446,Sudan,1982,20367053,Africa,50.338,1895.544073,38606646598.62687 +1447,Sudan,1987,24725960,Africa,51.744,1507.819159,37282276212.66764 +1448,Sudan,1992,28227588,Africa,53.556,1492.197043,42121123344.622284 +1449,Sudan,1997,32160729,Africa,55.373,1632.210764,52493088051.886955 +1450,Sudan,2002,37090298,Africa,56.369,1993.398314,73935737498.95758 +1451,Sudan,2007,42292929,Africa,58.556,2602.394995,110062906753.49036 +1452,Swaziland,1952,290243,Africa,41.407,1148.376626,333308277.060118 +1453,Swaziland,1957,326741,Africa,43.424,1244.708364,406697255.561724 +1454,Swaziland,1962,370006,Africa,44.992,1856.182125,686798523.3427501 +1455,Swaziland,1967,420690,Africa,46.633,2613.101665,1099305739.4488502 +1456,Swaziland,1972,480105,Africa,49.552,3364.836625,1615474887.845625 +1457,Swaziland,1977,551425,Africa,52.537,3781.410618,2085164350.03065 +1458,Swaziland,1982,649901,Africa,55.561,3895.384018,2531613968.682218 +1459,Swaziland,1987,779348,Africa,57.678,3984.839812,3105576937.802576 +1460,Swaziland,1992,962344,Africa,58.474,3553.0224,3419229788.5056 +1461,Swaziland,1997,1054486,Africa,54.289,3876.76846,4087998066.3115597 +1462,Swaziland,2002,1130269,Africa,43.869,4128.116943,4665882609.047667 +1463,Swaziland,2007,1133066,Africa,39.613,4513.480643,5114071458.241438 +1464,Sweden,1952,7124673,Europe,71.86,8527.844662,60758104611.545525 +1465,Sweden,1957,7363802,Europe,72.49,9911.878226,72989108704.37526 +1466,Sweden,1962,7561588,Europe,73.37,12329.44192,93230160068.96895 +1467,Sweden,1967,7867931,Europe,74.16,15258.29697,120051227737.46907 +1468,Sweden,1972,8122293,Europe,74.72,17832.02464,144836928909.29953 +1469,Sweden,1977,8251648,Europe,75.44,18855.72521,155590807217.6461 +1470,Sweden,1982,8325260,Europe,76.42,20667.38125,172061322425.375 +1471,Sweden,1987,8421403,Europe,77.19,23586.92927,198635036915.1658 +1472,Sweden,1992,8718867,Europe,78.16,23880.01683,208206690698.53162 +1473,Sweden,1997,8897619,Europe,79.39,25266.59499,224812535648.32883 +1474,Sweden,2002,8954175,Europe,80.04,29341.63093,262730098132.63275 +1475,Sweden,2007,9031088,Europe,80.884,33859.74835,305790367006.70483 +1476,Switzerland,1952,4815000,Europe,69.62,14734.23275,70945330691.25 +1477,Switzerland,1957,5126000,Europe,70.56,17909.48973,91804044355.98001 +1478,Switzerland,1962,5666000,Europe,71.32,20431.0927,115762571238.20001 +1479,Switzerland,1967,6063000,Europe,72.77,22966.14432,139243733012.16 +1480,Switzerland,1972,6401400,Europe,73.78,27195.11304,174086796614.256 +1481,Switzerland,1977,6316424,Europe,75.39,26982.29052,170431587415.50046 +1482,Switzerland,1982,6468126,Europe,76.21,28397.71512,183679999508.26514 +1483,Switzerland,1987,6649942,Europe,77.41,30281.70459,201371579184.6338 +1484,Switzerland,1992,6995447,Europe,78.03,31871.5303,222955601022.5441 +1485,Switzerland,1997,7193761,Europe,79.37,32135.32301,231173833391.7406 +1486,Switzerland,2002,7361757,Europe,80.62,34480.95771,253840431788.29648 +1487,Switzerland,2007,7554661,Europe,81.701,37506.41907,283348281397.7853 +1488,Syria,1952,3661549,Asia,45.883,1643.485354,6017702154.453345 +1489,Syria,1957,4149908,Asia,48.284,2117.234893,8786330020.339844 +1490,Syria,1962,4834621,Asia,50.305,2193.037133,10602503376.981592 +1491,Syria,1967,5680812,Asia,53.655,1881.923632,10690854351.749184 +1492,Syria,1972,6701172,Asia,57.296,2571.423014,17231547901.572407 +1493,Syria,1977,7932503,Asia,61.195,3195.484582,25348191033.168747 +1494,Syria,1982,9410494,Asia,64.59,3761.837715,35400751245.98121 +1495,Syria,1987,11242847,Asia,66.974,3116.774285,35041416419.7894 +1496,Syria,1992,13219062,Asia,69.249,3340.542768,44158841963.84361 +1497,Syria,1997,15081016,Asia,71.527,4014.238972,60538802164.55556 +1498,Syria,2002,17155814,Asia,73.053,4090.925331,70183154066.52443 +1499,Syria,2007,19314747,Asia,74.143,4184.548089,80823487648.36848 +1500,Taiwan,1952,8550362,Asia,58.5,1206.947913,10319841571.294506 +1501,Taiwan,1957,10164215,Asia,62.4,1507.86129,15326226341.73735 +1502,Taiwan,1962,11918938,Asia,65.2,1822.879028,21726782116.232265 +1503,Taiwan,1967,13648692,Asia,67.5,2643.858681,36085212828.495255 +1504,Taiwan,1972,15226039,Asia,69.39,4062.523897,61856147294.153984 +1505,Taiwan,1977,16785196,Asia,70.59,5596.519826,93938682197.2959 +1506,Taiwan,1982,18501390,Asia,72.16,7426.354774,137397885952.13586 +1507,Taiwan,1987,19757799,Asia,73.4,11054.56175,218413809089.58826 +1508,Taiwan,1992,20686918,Asia,74.26,15215.6579,314765067293.3522 +1509,Taiwan,1997,21628605,Asia,75.25,20206.82098,437045349282.13293 +1510,Taiwan,2002,22454239,Asia,76.99,23235.42329,521733747819.8263 +1511,Taiwan,2007,23174294,Asia,78.4,28718.27684,665525790663.5509 +1512,Tanzania,1952,8322925,Africa,41.215,716.6500721,5964624801.332892 +1513,Tanzania,1957,9452826,Africa,42.974,698.5356073,6603135550.61123 +1514,Tanzania,1962,10863958,Africa,44.246,722.0038073,7843819038.347293 +1515,Tanzania,1967,12607312,Africa,45.757,848.2186575,10693757259.323639 +1516,Tanzania,1972,14706593,Africa,47.62,915.9850592,13471019459.735306 +1517,Tanzania,1977,17129565,Africa,49.919,962.4922932,16487074298.368458 +1518,Tanzania,1982,19844382,Africa,50.608,874.2426069,17348804251.999435 +1519,Tanzania,1987,23040630,Africa,51.535,831.8220794,19165704757.286022 +1520,Tanzania,1992,26605473,Africa,50.44,825.682454,21967672236.47074 +1521,Tanzania,1997,30686889,Africa,48.466,789.1862231,24217670028.598938 +1522,Tanzania,2002,34593779,Africa,49.651,899.0742111,31102374563.392746 +1523,Tanzania,2007,38139640,Africa,52.517,1107.482182,42238971727.89448 +1524,Thailand,1952,21289402,Asia,50.848,757.7974177,16133053859.977215 +1525,Thailand,1957,25041917,Asia,53.63,793.5774148,19872699754.496174 +1526,Thailand,1962,29263397,Asia,56.061,1002.199172,29327752243.30728 +1527,Thailand,1967,34024249,Asia,58.285,1295.46066,44077076065.54434 +1528,Thailand,1972,39276153,Asia,60.405,1524.358936,59870954797.25321 +1529,Thailand,1977,44148285,Asia,62.494,1961.224635,86584704135.00098 +1530,Thailand,1982,48827160,Asia,64.597,2393.219781,116854125162.05196 +1531,Thailand,1987,52910342,Asia,66.084,2982.653773,157813231197.02036 +1532,Thailand,1992,56667095,Asia,67.298,4616.896545,261626115120.68677 +1533,Thailand,1997,60216677,Asia,67.521,5852.625497,352425659154.8135 +1534,Thailand,2002,62806748,Asia,68.564,5913.187529,371388079010.6457 +1535,Thailand,2007,65068149,Asia,70.616,7458.396327,485304043506.28876 +1536,Togo,1952,1219113,Africa,38.596,859.8086567,1048203910.8955071 +1537,Togo,1957,1357445,Africa,41.208,925.9083202,1256869619.7138891 +1538,Togo,1962,1528098,Africa,43.922,1067.53481,1631297808.0913801 +1539,Togo,1967,1735550,Africa,46.769,1477.59676,2564443056.818 +1540,Togo,1972,2056351,Africa,49.759,1649.660188,3392280377.2539883 +1541,Togo,1977,2308582,Africa,52.887,1532.776998,3538541387.596836 +1542,Togo,1982,2644765,Africa,55.471,1344.577953,3556092709.866045 +1543,Togo,1987,3154264,Africa,56.941,1202.201361,3792060473.7533035 +1544,Togo,1992,3747553,Africa,58.061,1034.298904,3876089960.581912 +1545,Togo,1997,4320890,Africa,58.39,982.2869243,4244353748.338627 +1546,Togo,2002,4977378,Africa,57.561,886.2205765,4411054800.618417 +1547,Togo,2007,5701579,Africa,58.42,882.9699438,5034322889.201261 +1548,Trinidad and Tobago,1952,662850,Americas,59.1,3023.271928,2003975797.4748 +1549,Trinidad and Tobago,1957,764900,Americas,61.8,4100.3934,3136390911.66 +1550,Trinidad and Tobago,1962,887498,Americas,64.9,4997.523971,4435292529.214558 +1551,Trinidad and Tobago,1967,960155,Americas,65.4,5621.368472,5397385045.23316 +1552,Trinidad and Tobago,1972,975199,Americas,65.9,6619.551419,6455379924.257381 +1553,Trinidad and Tobago,1977,1039009,Americas,68.3,7899.554209,8207707919.138881 +1554,Trinidad and Tobago,1982,1116479,Americas,68.832,9119.528607,10181762179.614754 +1555,Trinidad and Tobago,1987,1191336,Americas,69.582,7388.597823,8802302576.061527 +1556,Trinidad and Tobago,1992,1183669,Americas,69.862,7370.990932,8724813465.489508 +1557,Trinidad and Tobago,1997,1138101,Americas,69.465,8792.573126,10006836267.273726 +1558,Trinidad and Tobago,2002,1101832,Americas,68.976,11460.60023,12627656072.62136 +1559,Trinidad and Tobago,2007,1056608,Americas,69.819,18008.50924,19027934931.05792 +1560,Tunisia,1952,3647735,Africa,44.6,1468.475631,5356609955.845785 +1561,Tunisia,1957,3950849,Africa,47.1,1395.232468,5512352800.965332 +1562,Tunisia,1962,4286552,Africa,49.579,1660.30321,7116976045.43192 +1563,Tunisia,1967,4786986,Africa,52.053,1932.360167,9250181066.386662 +1564,Tunisia,1972,5303507,Africa,55.602,2753.285994,14602071542.180958 +1565,Tunisia,1977,6005061,Africa,59.837,3120.876811,18741055623.54047 +1566,Tunisia,1982,6734098,Africa,64.048,3560.233174,23974959096.56705 +1567,Tunisia,1987,7724976,Africa,66.894,3810.419296,29435397611.536896 +1568,Tunisia,1992,8523077,Africa,70.001,4332.720164,36928107577.22463 +1569,Tunisia,1997,9231669,Africa,71.973,4876.798614,45020990584.106766 +1570,Tunisia,2002,9770575,Africa,73.042,5722.895655,55915981214.35163 +1571,Tunisia,2007,10276158,Africa,73.923,7092.923025,72887997686.73795 +1572,Turkey,1952,22235677,Europe,43.585,1969.10098,43784293371.66346 +1573,Turkey,1957,25670939,Europe,48.079,2218.754257,56957505187.437325 +1574,Turkey,1962,29788695,Europe,52.098,2322.869908,69195263214.09006 +1575,Turkey,1967,33411317,Europe,54.336,2826.356387,94432289201.03168 +1576,Turkey,1972,37492953,Europe,57.005,3450.69638,129376797192.61014 +1577,Turkey,1977,42404033,Europe,59.507,4269.122326,181028003992.74075 +1578,Turkey,1982,47328791,Europe,61.036,4241.356344,200738267961.7001 +1579,Turkey,1987,52881328,Europe,63.108,5089.043686,269115388365.695 +1580,Turkey,1992,58179144,Europe,66.146,5678.348271,330361441740.66003 +1581,Turkey,1997,63047647,Europe,68.835,6601.429915,416204622976.16 +1582,Turkey,2002,67308928,Europe,70.845,6508.085718,438052273010.6903 +1583,Turkey,2007,71158647,Europe,71.777,8458.276384,601879503437.4926 +1584,Uganda,1952,5824797,Africa,39.978,734.753484,4279789889.3427477 +1585,Uganda,1957,6675501,Africa,42.571,774.3710692,5169314846.815669 +1586,Uganda,1962,7688797,Africa,45.344,767.2717398,5899396651.15902 +1587,Uganda,1967,8900294,Africa,48.051,908.9185217,8089642065.17538 +1588,Uganda,1972,10190285,Africa,51.016,950.735869,9688269464.832664 +1589,Uganda,1977,11457758,Africa,50.35,843.7331372,9667290102.618397 +1590,Uganda,1982,12939400,Africa,49.849,682.2662268,8828115615.05592 +1591,Uganda,1987,15283050,Africa,51.509,617.7244065,9440712990.759825 +1592,Uganda,1992,18252190,Africa,48.825,644.1707969,11757527777.470211 +1593,Uganda,1997,21210254,Africa,44.578,816.559081,17319425514.016575 +1594,Uganda,2002,24739869,Africa,47.813,927.7210018,22951696053.080765 +1595,Uganda,2007,29170398,Africa,51.542,1056.380121,30815028568.858154 +1596,United Kingdom,1952,50430000,Europe,69.18,9979.508487,503266612999.41 +1597,United Kingdom,1957,51430000,Europe,70.42,11283.17795,580293841968.5 +1598,United Kingdom,1962,53292000,Europe,70.76,12477.17707,664933720414.44 +1599,United Kingdom,1967,54959000,Europe,71.36,14142.85089,777276942063.51 +1600,United Kingdom,1972,56079000,Europe,72.01,15895.11641,891382233156.39 +1601,United Kingdom,1977,56179000,Europe,72.76,17428.74846,979129659734.34 +1602,United Kingdom,1982,56339704,Europe,74.04,18232.42452,1027209400659.1421 +1603,United Kingdom,1987,56981620,Europe,75.007,21664.78767,1234494698392.6255 +1604,United Kingdom,1992,57866349,Europe,76.42,22705.09254,1313860808996.9365 +1605,United Kingdom,1997,58808266,Europe,77.218,26074.53136,1533397976044.222 +1606,United Kingdom,2002,59912431,Europe,78.471,29478.99919,1766158504919.931 +1607,United Kingdom,2007,60776238,Europe,79.425,33203.26128,2017969309929.4646 +1608,United States,1952,157553000,Americas,68.44,13990.48208,2204242423150.2397 +1609,United States,1957,171984000,Americas,69.49,14847.12712,2553468310606.08 +1610,United States,1962,186538000,Americas,70.21,16173.14586,3016906282432.68 +1611,United States,1967,198712000,Americas,70.76,19530.36557,3880918003145.8403 +1612,United States,1972,209896000,Americas,71.34,21806.03594,4576999719662.24 +1613,United States,1977,220239000,Americas,73.38,24072.63213,5301732427679.07 +1614,United States,1982,232187835,Americas,74.65,25009.55914,5806915391021.0625 +1615,United States,1987,242803533,Americas,75.02,29884.35041,7256025860957.998 +1616,United States,1992,256894189,Americas,76.09,32003.93224,8221624217605.753 +1617,United States,1997,272911760,Americas,76.81,35767.43303,9761353098899.434 +1618,United States,2002,287675526,Americas,77.31,39097.09955,11247278678120.613 +1619,United States,2007,301139947,Americas,78.242,42951.65309,12934458535084.986 +1620,Uruguay,1952,2252965,Americas,66.071,5716.766744,12879675387.39596 +1621,Uruguay,1957,2424959,Americas,67.044,6150.772969,14915372268.13327 +1622,Uruguay,1962,2598466,Americas,68.253,5603.357717,14560134513.462122 +1623,Uruguay,1967,2748579,Americas,68.468,5444.61962,14964967150.519981 +1624,Uruguay,1972,2829526,Americas,68.673,5703.408898,16137943765.522346 +1625,Uruguay,1977,2873520,Americas,69.481,6504.339663,18690350108.42376 +1626,Uruguay,1982,2953997,Americas,70.805,6920.223051,20442318131.984848 +1627,Uruguay,1987,3045153,Americas,71.918,7452.398969,22693695077.647255 +1628,Uruguay,1992,3149262,Americas,72.752,8137.004775,25625559931.72605 +1629,Uruguay,1997,3262838,Americas,74.223,9230.240708,30116780131.2093 +1630,Uruguay,2002,3363085,Americas,75.307,7727.002004,25986564534.62234 +1631,Uruguay,2007,3447496,Americas,76.384,10611.46299,36582976212.17304 +1632,Venezuela,1952,5439568,Americas,55.088,7689.799761,41829188706.34325 +1633,Venezuela,1957,6702668,Americas,57.907,9802.466526,65702678704.89137 +1634,Venezuela,1962,8143375,Americas,60.77,8422.974165,68591437240.906876 +1635,Venezuela,1967,9709552,Americas,63.479,9541.474188,92643439785.04378 +1636,Venezuela,1972,11515649,Americas,65.712,10505.25966,120974882898.41934 +1637,Venezuela,1977,13503563,Americas,67.456,13143.95095,177490169722.23486 +1638,Venezuela,1982,15620766,Americas,68.557,11152.41011,174209188664.34427 +1639,Venezuela,1987,17910182,Americas,70.19,9883.584648,177016799858.08594 +1640,Venezuela,1992,20265563,Americas,71.15,10733.92631,217529059872.66254 +1641,Venezuela,1997,22374398,Americas,72.146,10165.49518,227446835024.40164 +1642,Venezuela,2002,24287670,Americas,72.766,8605.047831,208996562053.54376 +1643,Venezuela,2007,26084662,Americas,73.747,11415.80569,297777432881.3268 +1644,Vietnam,1952,26246839,Asia,40.412,605.0664917,15881082791.944736 +1645,Vietnam,1957,28998543,Asia,42.887,676.2854478,19611292638.302555 +1646,Vietnam,1962,33796140,Asia,45.363,772.0491602,26092281505.001625 +1647,Vietnam,1967,39463910,Asia,47.838,637.1232887,25143376124.160816 +1648,Vietnam,1972,44655014,Asia,50.254,699.5016441,31236255710.308517 +1649,Vietnam,1977,50533506,Asia,55.764,713.5371196,36057532314.52932 +1650,Vietnam,1982,56142181,Asia,58.816,707.2357863,39705759524.13192 +1651,Vietnam,1987,62826491,Asia,62.82,820.7994449,51567948937.81485 +1652,Vietnam,1992,69940728,Asia,67.662,989.0231487,69172999028.93025 +1653,Vietnam,1997,76048996,Asia,70.672,1385.896769,105396057842.09392 +1654,Vietnam,2002,80908147,Asia,73.017,1764.456677,142758920197.8475 +1655,Vietnam,2007,85262356,Asia,74.249,2441.576404,208174556559.04782 +1656,West Bank and Gaza,1952,1030585,Asia,43.16,1515.592329,1561946720.3824651 +1657,West Bank and Gaza,1957,1070439,Asia,45.671,1827.067742,1955764566.6787379 +1658,West Bank and Gaza,1962,1133134,Asia,48.127,2198.956312,2491712161.6418076 +1659,West Bank and Gaza,1967,1142636,Asia,51.631,2649.715007,3027659756.738452 +1660,West Bank and Gaza,1972,1089572,Asia,56.532,3133.409277,3414075012.759444 +1661,West Bank and Gaza,1977,1261091,Asia,60.765,3682.831494,4644385651.599954 +1662,West Bank and Gaza,1982,1425876,Asia,64.406,4336.032082,6182644080.953832 +1663,West Bank and Gaza,1987,1691210,Asia,67.046,5107.197384,8637343287.79464 +1664,West Bank and Gaza,1992,2104779,Asia,69.718,6017.654756,12665833359.678925 +1665,West Bank and Gaza,1997,2826046,Asia,71.096,7110.667619,20095073782.004475 +1666,West Bank and Gaza,2002,3389578,Asia,72.37,4515.487575,15305597343.493351 +1667,West Bank and Gaza,2007,4018332,Asia,73.422,3025.349798,12156859904.496937 +1668,"Yemen, Rep.",1952,4963829,Asia,32.548,781.7175761,3880312374.054887 +1669,"Yemen, Rep.",1957,5498090,Asia,33.97,804.8304547,4425030274.681523 +1670,"Yemen, Rep.",1962,6120081,Asia,35.18,825.6232006,5052880863.151249 +1671,"Yemen, Rep.",1967,6740785,Asia,36.984,862.4421463,5813537083.146846 +1672,"Yemen, Rep.",1972,7407075,Asia,39.848,1265.047031,9370298237.144325 +1673,"Yemen, Rep.",1977,8403990,Asia,44.175,1829.765177,15377328249.85623 +1674,"Yemen, Rep.",1982,9657618,Asia,49.113,1977.55701,19098490175.80218 +1675,"Yemen, Rep.",1987,11219340,Asia,52.922,1971.741538,22121638706.94492 +1676,"Yemen, Rep.",1992,13367997,Asia,55.599,1879.496673,25125105886.17398 +1677,"Yemen, Rep.",1997,15826497,Asia,58.02,2117.484526,33512362498.285423 +1678,"Yemen, Rep.",2002,18701257,Asia,60.308,2234.820827,41793958634.67954 +1679,"Yemen, Rep.",2007,22211743,Asia,62.698,2280.769906,50659874994.20616 +1680,Zambia,1952,2672000,Africa,42.038,1147.388831,3065822956.432 +1681,Zambia,1957,3016000,Africa,44.077,1311.956766,3956861606.256 +1682,Zambia,1962,3421000,Africa,46.023,1452.725766,4969774845.486 +1683,Zambia,1967,3900000,Africa,47.768,1777.077318,6930601540.200001 +1684,Zambia,1972,4506497,Africa,50.107,1773.498265,7992264610.727705 +1685,Zambia,1977,5216550,Africa,51.386,1588.688299,8287471946.14845 +1686,Zambia,1982,6100407,Africa,51.821,1408.678565,8593512578.675955 +1687,Zambia,1987,7272406,Africa,50.821,1213.315116,8823720129.489096 +1688,Zambia,1992,8381163,Africa,46.1,1210.884633,10148621483.368177 +1689,Zambia,1997,9417789,Africa,40.238,1071.353818,10089784202.268402 +1690,Zambia,2002,10595811,Africa,39.193,1071.613938,11354618752.013718 +1691,Zambia,2007,11746035,Africa,42.384,1271.211593,14931695863.783754 +1692,Zimbabwe,1952,3080907,Africa,48.451,406.8841148,1253572117.4761236 +1693,Zimbabwe,1957,3646340,Africa,50.469,518.7642681,1891590901.3437538 +1694,Zimbabwe,1962,4277736,Africa,52.358,527.2721818,2255531193.8844047 +1695,Zimbabwe,1967,4995432,Africa,53.995,569.7950712,2846372532.1147585 +1696,Zimbabwe,1972,5861135,Africa,55.635,799.3621758,4685169626.257533 +1697,Zimbabwe,1977,6642107,Africa,57.674,685.5876821,4553746742.390185 +1698,Zimbabwe,1982,7636524,Africa,60.363,788.8550411,6024110453.881136 +1699,Zimbabwe,1987,9216418,Africa,62.351,706.1573059,6508240904.928266 +1700,Zimbabwe,1992,10704340,Africa,60.377,693.4207856,7422611852.129504 +1701,Zimbabwe,1997,11404948,Africa,46.809,792.4499603,9037850589.823565 +1702,Zimbabwe,2002,11926563,Africa,39.989,672.0386227,8015110972.06478 +1703,Zimbabwe,2007,12311143,Africa,43.487,469.7092981,5782658337.338729 diff --git a/datasets/Day-ahead Prices_ES.csv b/datasets/Day-ahead Prices_ES.csv new file mode 100644 index 0000000..4b549d9 --- /dev/null +++ b/datasets/Day-ahead Prices_ES.csv @@ -0,0 +1,8762 @@ +"MTU (CET/CEST)","Day-ahead Price [EUR/MWh]","Currency","BZN|ES" +"01.01.2022 00:00 - 01.01.2022 01:00","145.86","EUR" +"01.01.2022 01:00 - 01.01.2022 02:00","114.90","EUR" +"01.01.2022 02:00 - 01.01.2022 03:00","113.87","EUR" +"01.01.2022 03:00 - 01.01.2022 04:00","97.80","EUR" +"01.01.2022 04:00 - 01.01.2022 05:00","97.80","EUR" +"01.01.2022 05:00 - 01.01.2022 06:00","95.74","EUR" +"01.01.2022 06:00 - 01.01.2022 07:00","97.80","EUR" +"01.01.2022 07:00 - 01.01.2022 08:00","97.80","EUR" +"01.01.2022 08:00 - 01.01.2022 09:00","97.80","EUR" +"01.01.2022 09:00 - 01.01.2022 10:00","70.05","EUR" +"01.01.2022 10:00 - 01.01.2022 11:00","76.79","EUR" +"01.01.2022 11:00 - 01.01.2022 12:00","84.10","EUR" +"01.01.2022 12:00 - 01.01.2022 13:00","94.74","EUR" +"01.01.2022 13:00 - 01.01.2022 14:00","96.80","EUR" +"01.01.2022 14:00 - 01.01.2022 15:00","97.80","EUR" +"01.01.2022 15:00 - 01.01.2022 16:00","98.52","EUR" +"01.01.2022 16:00 - 01.01.2022 17:00","114.50","EUR" +"01.01.2022 17:00 - 01.01.2022 18:00","149.97","EUR" +"01.01.2022 18:00 - 01.01.2022 19:00","177.22","EUR" +"01.01.2022 19:00 - 01.01.2022 20:00","187.52","EUR" +"01.01.2022 20:00 - 01.01.2022 21:00","189.26","EUR" +"01.01.2022 21:00 - 01.01.2022 22:00","190.81","EUR" +"01.01.2022 22:00 - 01.01.2022 23:00","188.39","EUR" +"01.01.2022 23:00 - 02.01.2022 00:00","167.26","EUR" +"02.01.2022 00:00 - 02.01.2022 01:00","133.21","EUR" +"02.01.2022 01:00 - 02.01.2022 02:00","115.87","EUR" +"02.01.2022 02:00 - 02.01.2022 03:00","110.52","EUR" 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02.01.2022 22:00","209.10","EUR" +"02.01.2022 22:00 - 02.01.2022 23:00","191.36","EUR" +"02.01.2022 23:00 - 03.01.2022 00:00","178.00","EUR" +"03.01.2022 00:00 - 03.01.2022 01:00","181.50","EUR" +"03.01.2022 01:00 - 03.01.2022 02:00","160.72","EUR" +"03.01.2022 02:00 - 03.01.2022 03:00","154.64","EUR" +"03.01.2022 03:00 - 03.01.2022 04:00","149.86","EUR" +"03.01.2022 04:00 - 03.01.2022 05:00","144.49","EUR" +"03.01.2022 05:00 - 03.01.2022 06:00","148.86","EUR" +"03.01.2022 06:00 - 03.01.2022 07:00","153.77","EUR" +"03.01.2022 07:00 - 03.01.2022 08:00","160.72","EUR" +"03.01.2022 08:00 - 03.01.2022 09:00","189.26","EUR" +"03.01.2022 09:00 - 03.01.2022 10:00","183.54","EUR" +"03.01.2022 10:00 - 03.01.2022 11:00","160.72","EUR" +"03.01.2022 11:00 - 03.01.2022 12:00","152.20","EUR" +"03.01.2022 12:00 - 03.01.2022 13:00","148.86","EUR" +"03.01.2022 13:00 - 03.01.2022 14:00","142.04","EUR" +"03.01.2022 14:00 - 03.01.2022 15:00","127.38","EUR" +"03.01.2022 15:00 - 03.01.2022 16:00","112.87","EUR" +"03.01.2022 16:00 - 03.01.2022 17:00","126.80","EUR" +"03.01.2022 17:00 - 03.01.2022 18:00","148.49","EUR" +"03.01.2022 18:00 - 03.01.2022 19:00","175.06","EUR" +"03.01.2022 19:00 - 03.01.2022 20:00","180.00","EUR" +"03.01.2022 20:00 - 03.01.2022 21:00","153.77","EUR" +"03.01.2022 21:00 - 03.01.2022 22:00","141.94","EUR" +"03.01.2022 22:00 - 03.01.2022 23:00","114.11","EUR" +"03.01.2022 23:00 - 04.01.2022 00:00","100.36","EUR" +"04.01.2022 00:00 - 04.01.2022 01:00","125.47","EUR" +"04.01.2022 01:00 - 04.01.2022 02:00","115.55","EUR" +"04.01.2022 02:00 - 04.01.2022 03:00","113.29","EUR" +"04.01.2022 03:00 - 04.01.2022 04:00","105.81","EUR" +"04.01.2022 04:00 - 04.01.2022 05:00","105.00","EUR" +"04.01.2022 05:00 - 04.01.2022 06:00","115.11","EUR" +"04.01.2022 06:00 - 04.01.2022 07:00","153.77","EUR" +"04.01.2022 07:00 - 04.01.2022 08:00","161.03","EUR" +"04.01.2022 08:00 - 04.01.2022 09:00","178.91","EUR" +"04.01.2022 09:00 - 04.01.2022 10:00","190.00","EUR" 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05.01.2022 05:00","79.11","EUR" +"05.01.2022 05:00 - 05.01.2022 06:00","94.79","EUR" +"05.01.2022 06:00 - 05.01.2022 07:00","169.04","EUR" +"05.01.2022 07:00 - 05.01.2022 08:00","206.07","EUR" +"05.01.2022 08:00 - 05.01.2022 09:00","211.13","EUR" +"05.01.2022 09:00 - 05.01.2022 10:00","213.86","EUR" +"05.01.2022 10:00 - 05.01.2022 11:00","209.10","EUR" +"05.01.2022 11:00 - 05.01.2022 12:00","202.80","EUR" +"05.01.2022 12:00 - 05.01.2022 13:00","199.89","EUR" +"05.01.2022 13:00 - 05.01.2022 14:00","197.34","EUR" +"05.01.2022 14:00 - 05.01.2022 15:00","195.60","EUR" +"05.01.2022 15:00 - 05.01.2022 16:00","200.00","EUR" +"05.01.2022 16:00 - 05.01.2022 17:00","206.07","EUR" +"05.01.2022 17:00 - 05.01.2022 18:00","211.23","EUR" +"05.01.2022 18:00 - 05.01.2022 19:00","225.00","EUR" +"05.01.2022 19:00 - 05.01.2022 20:00","250.34","EUR" +"05.01.2022 20:00 - 05.01.2022 21:00","241.93","EUR" +"05.01.2022 21:00 - 05.01.2022 22:00","218.95","EUR" +"05.01.2022 22:00 - 05.01.2022 23:00","207.46","EUR" +"05.01.2022 23:00 - 06.01.2022 00:00","200.00","EUR" +"06.01.2022 00:00 - 06.01.2022 01:00","207.15","EUR" +"06.01.2022 01:00 - 06.01.2022 02:00","204.22","EUR" +"06.01.2022 02:00 - 06.01.2022 03:00","191.82","EUR" +"06.01.2022 03:00 - 06.01.2022 04:00","180.70","EUR" +"06.01.2022 04:00 - 06.01.2022 05:00","170.10","EUR" +"06.01.2022 05:00 - 06.01.2022 06:00","194.38","EUR" +"06.01.2022 06:00 - 06.01.2022 07:00","204.22","EUR" +"06.01.2022 07:00 - 06.01.2022 08:00","216.14","EUR" +"06.01.2022 08:00 - 06.01.2022 09:00","219.42","EUR" +"06.01.2022 09:00 - 06.01.2022 10:00","220.00","EUR" +"06.01.2022 10:00 - 06.01.2022 11:00","214.90","EUR" +"06.01.2022 11:00 - 06.01.2022 12:00","207.90","EUR" +"06.01.2022 12:00 - 06.01.2022 13:00","205.00","EUR" +"06.01.2022 13:00 - 06.01.2022 14:00","204.43","EUR" +"06.01.2022 14:00 - 06.01.2022 15:00","196.84","EUR" +"06.01.2022 15:00 - 06.01.2022 16:00","189.89","EUR" +"06.01.2022 16:00 - 06.01.2022 17:00","202.17","EUR" 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17:00","1.50","EUR" +"31.12.2022 17:00 - 31.12.2022 18:00","4.11","EUR" +"31.12.2022 18:00 - 31.12.2022 19:00","20.00","EUR" +"31.12.2022 19:00 - 31.12.2022 20:00","18.11","EUR" +"31.12.2022 20:00 - 31.12.2022 21:00","7.60","EUR" +"31.12.2022 21:00 - 31.12.2022 22:00","3.69","EUR" +"31.12.2022 22:00 - 31.12.2022 23:00","1.88","EUR" +"31.12.2022 23:00 - 01.01.2023 00:00","0.10","EUR" diff --git a/datasets/employees.csv b/datasets/employees.csv new file mode 100644 index 0000000..c2f7ac2 --- /dev/null +++ b/datasets/employees.csv @@ -0,0 +1,11 @@ +name,company +John,AMZN +Alice,GOOG +Bob,NFLX +Sarah,AMZN +Michael,GOOG +Emily,NFLX +David,AMZN +Olivia,GOOG +Daniel,NFLX +Sophia,AMZN diff --git a/datasets/gapminder.csv b/datasets/gapminder.csv new file mode 100644 index 0000000..394925a --- /dev/null +++ b/datasets/gapminder.csv @@ -0,0 +1,1705 @@ +country,year,population,continent,life_exp,gdp_cap +Afghanistan,1952,8425333,Asia,28.801,779.4453145 +Afghanistan,1957,9240934,Asia,30.332,820.8530296 +Afghanistan,1962,10267083,Asia,31.997,853.10071 +Afghanistan,1967,11537966,Asia,34.02,836.1971382 +Afghanistan,1972,13079460,Asia,36.088,739.9811058 +Afghanistan,1977,14880372,Asia,38.438,786.11336 +Afghanistan,1982,12881816,Asia,39.854,978.0114388 +Afghanistan,1987,13867957,Asia,40.822,852.3959448 +Afghanistan,1992,16317921,Asia,41.674,649.3413952 +Afghanistan,1997,22227415,Asia,41.763,635.341351 +Afghanistan,2002,25268405,Asia,42.129,726.7340548 +Afghanistan,2007,31889923,Asia,43.828,974.5803384 +Albania,1952,1282697,Europe,55.23,1601.056136 +Albania,1957,1476505,Europe,59.28,1942.284244 +Albania,1962,1728137,Europe,64.82,2312.888958 +Albania,1967,1984060,Europe,66.22,2760.196931 +Albania,1972,2263554,Europe,67.69,3313.422188 +Albania,1977,2509048,Europe,68.93,3533.00391 +Albania,1982,2780097,Europe,70.42,3630.880722 +Albania,1987,3075321,Europe,72,3738.932735 +Albania,1992,3326498,Europe,71.581,2497.437901 +Albania,1997,3428038,Europe,72.95,3193.054604 +Albania,2002,3508512,Europe,75.651,4604.211737 +Albania,2007,3600523,Europe,76.423,5937.029526 +Algeria,1952,9279525,Africa,43.077,2449.008185 +Algeria,1957,10270856,Africa,45.685,3013.976023 +Algeria,1962,11000948,Africa,48.303,2550.81688 +Algeria,1967,12760499,Africa,51.407,3246.991771 +Algeria,1972,14760787,Africa,54.518,4182.663766 +Algeria,1977,17152804,Africa,58.014,4910.416756 +Algeria,1982,20033753,Africa,61.368,5745.160213 +Algeria,1987,23254956,Africa,65.799,5681.358539 +Algeria,1992,26298373,Africa,67.744,5023.216647 +Algeria,1997,29072015,Africa,69.152,4797.295051 +Algeria,2002,31287142,Africa,70.994,5288.040382 +Algeria,2007,33333216,Africa,72.301,6223.367465 +Angola,1952,4232095,Africa,30.015,3520.610273 +Angola,1957,4561361,Africa,31.999,3827.940465 +Angola,1962,4826015,Africa,34,4269.276742 +Angola,1967,5247469,Africa,35.985,5522.776375 +Angola,1972,5894858,Africa,37.928,5473.288005 +Angola,1977,6162675,Africa,39.483,3008.647355 +Angola,1982,7016384,Africa,39.942,2756.953672 +Angola,1987,7874230,Africa,39.906,2430.208311 +Angola,1992,8735988,Africa,40.647,2627.845685 +Angola,1997,9875024,Africa,40.963,2277.140884 +Angola,2002,10866106,Africa,41.003,2773.287312 +Angola,2007,12420476,Africa,42.731,4797.231267 +Argentina,1952,17876956,Americas,62.485,5911.315053 +Argentina,1957,19610538,Americas,64.399,6856.856212 +Argentina,1962,21283783,Americas,65.142,7133.166023 +Argentina,1967,22934225,Americas,65.634,8052.953021 +Argentina,1972,24779799,Americas,67.065,9443.038526 +Argentina,1977,26983828,Americas,68.481,10079.02674 +Argentina,1982,29341374,Americas,69.942,8997.897412 +Argentina,1987,31620918,Americas,70.774,9139.671389 +Argentina,1992,33958947,Americas,71.868,9308.41871 +Argentina,1997,36203463,Americas,73.275,10967.28195 +Argentina,2002,38331121,Americas,74.34,8797.640716 +Argentina,2007,40301927,Americas,75.32,12779.37964 +Australia,1952,8691212,Oceania,69.12,10039.59564 +Australia,1957,9712569,Oceania,70.33,10949.64959 +Australia,1962,10794968,Oceania,70.93,12217.22686 +Australia,1967,11872264,Oceania,71.1,14526.12465 +Australia,1972,13177000,Oceania,71.93,16788.62948 +Australia,1977,14074100,Oceania,73.49,18334.19751 +Australia,1982,15184200,Oceania,74.74,19477.00928 +Australia,1987,16257249,Oceania,76.32,21888.88903 +Australia,1992,17481977,Oceania,77.56,23424.76683 +Australia,1997,18565243,Oceania,78.83,26997.93657 +Australia,2002,19546792,Oceania,80.37,30687.75473 +Australia,2007,20434176,Oceania,81.235,34435.36744 +Austria,1952,6927772,Europe,66.8,6137.076492 +Austria,1957,6965860,Europe,67.48,8842.59803 +Austria,1962,7129864,Europe,69.54,10750.72111 +Austria,1967,7376998,Europe,70.14,12834.6024 +Austria,1972,7544201,Europe,70.63,16661.6256 +Austria,1977,7568430,Europe,72.17,19749.4223 +Austria,1982,7574613,Europe,73.18,21597.08362 +Austria,1987,7578903,Europe,74.94,23687.82607 +Austria,1992,7914969,Europe,76.04,27042.01868 +Austria,1997,8069876,Europe,77.51,29095.92066 +Austria,2002,8148312,Europe,78.98,32417.60769 +Austria,2007,8199783,Europe,79.829,36126.4927 +Bahrain,1952,120447,Asia,50.939,9867.084765 +Bahrain,1957,138655,Asia,53.832,11635.79945 +Bahrain,1962,171863,Asia,56.923,12753.27514 +Bahrain,1967,202182,Asia,59.923,14804.6727 +Bahrain,1972,230800,Asia,63.3,18268.65839 +Bahrain,1977,297410,Asia,65.593,19340.10196 +Bahrain,1982,377967,Asia,69.052,19211.14731 +Bahrain,1987,454612,Asia,70.75,18524.02406 +Bahrain,1992,529491,Asia,72.601,19035.57917 +Bahrain,1997,598561,Asia,73.925,20292.01679 +Bahrain,2002,656397,Asia,74.795,23403.55927 +Bahrain,2007,708573,Asia,75.635,29796.04834 +Bangladesh,1952,46886859,Asia,37.484,684.2441716 +Bangladesh,1957,51365468,Asia,39.348,661.6374577 +Bangladesh,1962,56839289,Asia,41.216,686.3415538 +Bangladesh,1967,62821884,Asia,43.453,721.1860862 +Bangladesh,1972,70759295,Asia,45.252,630.2336265 +Bangladesh,1977,80428306,Asia,46.923,659.8772322 +Bangladesh,1982,93074406,Asia,50.009,676.9818656 +Bangladesh,1987,103764241,Asia,52.819,751.9794035 +Bangladesh,1992,113704579,Asia,56.018,837.8101643 +Bangladesh,1997,123315288,Asia,59.412,972.7700352 +Bangladesh,2002,135656790,Asia,62.013,1136.39043 +Bangladesh,2007,150448339,Asia,64.062,1391.253792 +Belgium,1952,8730405,Europe,68,8343.105127 +Belgium,1957,8989111,Europe,69.24,9714.960623 +Belgium,1962,9218400,Europe,70.25,10991.20676 +Belgium,1967,9556500,Europe,70.94,13149.04119 +Belgium,1972,9709100,Europe,71.44,16672.14356 +Belgium,1977,9821800,Europe,72.8,19117.97448 +Belgium,1982,9856303,Europe,73.93,20979.84589 +Belgium,1987,9870200,Europe,75.35,22525.56308 +Belgium,1992,10045622,Europe,76.46,25575.57069 +Belgium,1997,10199787,Europe,77.53,27561.19663 +Belgium,2002,10311970,Europe,78.32,30485.88375 +Belgium,2007,10392226,Europe,79.441,33692.60508 +Benin,1952,1738315,Africa,38.223,1062.7522 +Benin,1957,1925173,Africa,40.358,959.6010805 +Benin,1962,2151895,Africa,42.618,949.4990641 +Benin,1967,2427334,Africa,44.885,1035.831411 +Benin,1972,2761407,Africa,47.014,1085.796879 +Benin,1977,3168267,Africa,49.19,1029.161251 +Benin,1982,3641603,Africa,50.904,1277.897616 +Benin,1987,4243788,Africa,52.337,1225.85601 +Benin,1992,4981671,Africa,53.919,1191.207681 +Benin,1997,6066080,Africa,54.777,1232.975292 +Benin,2002,7026113,Africa,54.406,1372.877931 +Benin,2007,8078314,Africa,56.728,1441.284873 +Bolivia,1952,2883315,Americas,40.414,2677.326347 +Bolivia,1957,3211738,Americas,41.89,2127.686326 +Bolivia,1962,3593918,Americas,43.428,2180.972546 +Bolivia,1967,4040665,Americas,45.032,2586.886053 +Bolivia,1972,4565872,Americas,46.714,2980.331339 +Bolivia,1977,5079716,Americas,50.023,3548.097832 +Bolivia,1982,5642224,Americas,53.859,3156.510452 +Bolivia,1987,6156369,Americas,57.251,2753.69149 +Bolivia,1992,6893451,Americas,59.957,2961.699694 +Bolivia,1997,7693188,Americas,62.05,3326.143191 +Bolivia,2002,8445134,Americas,63.883,3413.26269 +Bolivia,2007,9119152,Americas,65.554,3822.137084 +Bosnia and Herzegovina,1952,2791000,Europe,53.82,973.5331948 +Bosnia and Herzegovina,1957,3076000,Europe,58.45,1353.989176 +Bosnia and Herzegovina,1962,3349000,Europe,61.93,1709.683679 +Bosnia and Herzegovina,1967,3585000,Europe,64.79,2172.352423 +Bosnia and Herzegovina,1972,3819000,Europe,67.45,2860.16975 +Bosnia and Herzegovina,1977,4086000,Europe,69.86,3528.481305 +Bosnia and Herzegovina,1982,4172693,Europe,70.69,4126.613157 +Bosnia and Herzegovina,1987,4338977,Europe,71.14,4314.114757 +Bosnia and Herzegovina,1992,4256013,Europe,72.178,2546.781445 +Bosnia and Herzegovina,1997,3607000,Europe,73.244,4766.355904 +Bosnia and Herzegovina,2002,4165416,Europe,74.09,6018.975239 +Bosnia and Herzegovina,2007,4552198,Europe,74.852,7446.298803 +Botswana,1952,442308,Africa,47.622,851.2411407 +Botswana,1957,474639,Africa,49.618,918.2325349 +Botswana,1962,512764,Africa,51.52,983.6539764 +Botswana,1967,553541,Africa,53.298,1214.709294 +Botswana,1972,619351,Africa,56.024,2263.611114 +Botswana,1977,781472,Africa,59.319,3214.857818 +Botswana,1982,970347,Africa,61.484,4551.14215 +Botswana,1987,1151184,Africa,63.622,6205.88385 +Botswana,1992,1342614,Africa,62.745,7954.111645 +Botswana,1997,1536536,Africa,52.556,8647.142313 +Botswana,2002,1630347,Africa,46.634,11003.60508 +Botswana,2007,1639131,Africa,50.728,12569.85177 +Brazil,1952,56602560,Americas,50.917,2108.944355 +Brazil,1957,65551171,Americas,53.285,2487.365989 +Brazil,1962,76039390,Americas,55.665,3336.585802 +Brazil,1967,88049823,Americas,57.632,3429.864357 +Brazil,1972,100840058,Americas,59.504,4985.711467 +Brazil,1977,114313951,Americas,61.489,6660.118654 +Brazil,1982,128962939,Americas,63.336,7030.835878 +Brazil,1987,142938076,Americas,65.205,7807.095818 +Brazil,1992,155975974,Americas,67.057,6950.283021 +Brazil,1997,168546719,Americas,69.388,7957.980824 +Brazil,2002,179914212,Americas,71.006,8131.212843 +Brazil,2007,190010647,Americas,72.39,9065.800825 +Bulgaria,1952,7274900,Europe,59.6,2444.286648 +Bulgaria,1957,7651254,Europe,66.61,3008.670727 +Bulgaria,1962,8012946,Europe,69.51,4254.337839 +Bulgaria,1967,8310226,Europe,70.42,5577.0028 +Bulgaria,1972,8576200,Europe,70.9,6597.494398 +Bulgaria,1977,8797022,Europe,70.81,7612.240438 +Bulgaria,1982,8892098,Europe,71.08,8224.191647 +Bulgaria,1987,8971958,Europe,71.34,8239.854824 +Bulgaria,1992,8658506,Europe,71.19,6302.623438 +Bulgaria,1997,8066057,Europe,70.32,5970.38876 +Bulgaria,2002,7661799,Europe,72.14,7696.777725 +Bulgaria,2007,7322858,Europe,73.005,10680.79282 +Burkina Faso,1952,4469979,Africa,31.975,543.2552413 +Burkina Faso,1957,4713416,Africa,34.906,617.1834648 +Burkina Faso,1962,4919632,Africa,37.814,722.5120206 +Burkina Faso,1967,5127935,Africa,40.697,794.8265597 +Burkina Faso,1972,5433886,Africa,43.591,854.7359763 +Burkina Faso,1977,5889574,Africa,46.137,743.3870368 +Burkina Faso,1982,6634596,Africa,48.122,807.1985855 +Burkina Faso,1987,7586551,Africa,49.557,912.0631417 +Burkina Faso,1992,8878303,Africa,50.26,931.7527731 +Burkina Faso,1997,10352843,Africa,50.324,946.2949618 +Burkina Faso,2002,12251209,Africa,50.65,1037.645221 +Burkina Faso,2007,14326203,Africa,52.295,1217.032994 +Burundi,1952,2445618,Africa,39.031,339.2964587 +Burundi,1957,2667518,Africa,40.533,379.5646281 +Burundi,1962,2961915,Africa,42.045,355.2032273 +Burundi,1967,3330989,Africa,43.548,412.9775136 +Burundi,1972,3529983,Africa,44.057,464.0995039 +Burundi,1977,3834415,Africa,45.91,556.1032651 +Burundi,1982,4580410,Africa,47.471,559.603231 +Burundi,1987,5126023,Africa,48.211,621.8188189 +Burundi,1992,5809236,Africa,44.736,631.6998778 +Burundi,1997,6121610,Africa,45.326,463.1151478 +Burundi,2002,7021078,Africa,47.36,446.4035126 +Burundi,2007,8390505,Africa,49.58,430.0706916 +Cambodia,1952,4693836,Asia,39.417,368.4692856 +Cambodia,1957,5322536,Asia,41.366,434.0383364 +Cambodia,1962,6083619,Asia,43.415,496.9136476 +Cambodia,1967,6960067,Asia,45.415,523.4323142 +Cambodia,1972,7450606,Asia,40.317,421.6240257 +Cambodia,1977,6978607,Asia,31.22,524.9721832 +Cambodia,1982,7272485,Asia,50.957,624.4754784 +Cambodia,1987,8371791,Asia,53.914,683.8955732 +Cambodia,1992,10150094,Asia,55.803,682.3031755 +Cambodia,1997,11782962,Asia,56.534,734.28517 +Cambodia,2002,12926707,Asia,56.752,896.2260153 +Cambodia,2007,14131858,Asia,59.723,1713.778686 +Cameroon,1952,5009067,Africa,38.523,1172.667655 +Cameroon,1957,5359923,Africa,40.428,1313.048099 +Cameroon,1962,5793633,Africa,42.643,1399.607441 +Cameroon,1967,6335506,Africa,44.799,1508.453148 +Cameroon,1972,7021028,Africa,47.049,1684.146528 +Cameroon,1977,7959865,Africa,49.355,1783.432873 +Cameroon,1982,9250831,Africa,52.961,2367.983282 +Cameroon,1987,10780667,Africa,54.985,2602.664206 +Cameroon,1992,12467171,Africa,54.314,1793.163278 +Cameroon,1997,14195809,Africa,52.199,1694.337469 +Cameroon,2002,15929988,Africa,49.856,1934.011449 +Cameroon,2007,17696293,Africa,50.43,2042.09524 +Canada,1952,14785584,Americas,68.75,11367.16112 +Canada,1957,17010154,Americas,69.96,12489.95006 +Canada,1962,18985849,Americas,71.3,13462.48555 +Canada,1967,20819767,Americas,72.13,16076.58803 +Canada,1972,22284500,Americas,72.88,18970.57086 +Canada,1977,23796400,Americas,74.21,22090.88306 +Canada,1982,25201900,Americas,75.76,22898.79214 +Canada,1987,26549700,Americas,76.86,26626.51503 +Canada,1992,28523502,Americas,77.95,26342.88426 +Canada,1997,30305843,Americas,78.61,28954.92589 +Canada,2002,31902268,Americas,79.77,33328.96507 +Canada,2007,33390141,Americas,80.653,36319.23501 +Central African Republic,1952,1291695,Africa,35.463,1071.310713 +Central African Republic,1957,1392284,Africa,37.464,1190.844328 +Central African Republic,1962,1523478,Africa,39.475,1193.068753 +Central African Republic,1967,1733638,Africa,41.478,1136.056615 +Central African Republic,1972,1927260,Africa,43.457,1070.013275 +Central African Republic,1977,2167533,Africa,46.775,1109.374338 +Central African Republic,1982,2476971,Africa,48.295,956.7529907 +Central African Republic,1987,2840009,Africa,50.485,844.8763504 +Central African Republic,1992,3265124,Africa,49.396,747.9055252 +Central African Republic,1997,3696513,Africa,46.066,740.5063317 +Central African Republic,2002,4048013,Africa,43.308,738.6906068 +Central African Republic,2007,4369038,Africa,44.741,706.016537 +Chad,1952,2682462,Africa,38.092,1178.665927 +Chad,1957,2894855,Africa,39.881,1308.495577 +Chad,1962,3150417,Africa,41.716,1389.817618 +Chad,1967,3495967,Africa,43.601,1196.810565 +Chad,1972,3899068,Africa,45.569,1104.103987 +Chad,1977,4388260,Africa,47.383,1133.98495 +Chad,1982,4875118,Africa,49.517,797.9081006 +Chad,1987,5498955,Africa,51.051,952.386129 +Chad,1992,6429417,Africa,51.724,1058.0643 +Chad,1997,7562011,Africa,51.573,1004.961353 +Chad,2002,8835739,Africa,50.525,1156.18186 +Chad,2007,10238807,Africa,50.651,1704.063724 +Chile,1952,6377619,Americas,54.745,3939.978789 +Chile,1957,7048426,Americas,56.074,4315.622723 +Chile,1962,7961258,Americas,57.924,4519.094331 +Chile,1967,8858908,Americas,60.523,5106.654313 +Chile,1972,9717524,Americas,63.441,5494.024437 +Chile,1977,10599793,Americas,67.052,4756.763836 +Chile,1982,11487112,Americas,70.565,5095.665738 +Chile,1987,12463354,Americas,72.492,5547.063754 +Chile,1992,13572994,Americas,74.126,7596.125964 +Chile,1997,14599929,Americas,75.816,10118.05318 +Chile,2002,15497046,Americas,77.86,10778.78385 +Chile,2007,16284741,Americas,78.553,13171.63885 +China,1952,556263527,Asia,44,400.448611 +China,1957,637408000,Asia,50.54896,575.9870009 +China,1962,665770000,Asia,44.50136,487.6740183 +China,1967,754550000,Asia,58.38112,612.7056934 +China,1972,862030000,Asia,63.11888,676.9000921 +China,1977,943455000,Asia,63.96736,741.2374699 +China,1982,1000281000,Asia,65.525,962.4213805 +China,1987,1084035000,Asia,67.274,1378.904018 +China,1992,1164970000,Asia,68.69,1655.784158 +China,1997,1230075000,Asia,70.426,2289.234136 +China,2002,1280400000,Asia,72.028,3119.280896 +China,2007,1318683096,Asia,72.961,4959.114854 +Colombia,1952,12350771,Americas,50.643,2144.115096 +Colombia,1957,14485993,Americas,55.118,2323.805581 +Colombia,1962,17009885,Americas,57.863,2492.351109 +Colombia,1967,19764027,Americas,59.963,2678.729839 +Colombia,1972,22542890,Americas,61.623,3264.660041 +Colombia,1977,25094412,Americas,63.837,3815.80787 +Colombia,1982,27764644,Americas,66.653,4397.575659 +Colombia,1987,30964245,Americas,67.768,4903.2191 +Colombia,1992,34202721,Americas,68.421,5444.648617 +Colombia,1997,37657830,Americas,70.313,6117.361746 +Colombia,2002,41008227,Americas,71.682,5755.259962 +Colombia,2007,44227550,Americas,72.889,7006.580419 +Comoros,1952,153936,Africa,40.715,1102.990936 +Comoros,1957,170928,Africa,42.46,1211.148548 +Comoros,1962,191689,Africa,44.467,1406.648278 +Comoros,1967,217378,Africa,46.472,1876.029643 +Comoros,1972,250027,Africa,48.944,1937.577675 +Comoros,1977,304739,Africa,50.939,1172.603047 +Comoros,1982,348643,Africa,52.933,1267.100083 +Comoros,1987,395114,Africa,54.926,1315.980812 +Comoros,1992,454429,Africa,57.939,1246.90737 +Comoros,1997,527982,Africa,60.66,1173.618235 +Comoros,2002,614382,Africa,62.974,1075.811558 +Comoros,2007,710960,Africa,65.152,986.1478792 +"Congo, Dem. Rep.",1952,14100005,Africa,39.143,780.5423257 +"Congo, Dem. Rep.",1957,15577932,Africa,40.652,905.8602303 +"Congo, Dem. Rep.",1962,17486434,Africa,42.122,896.3146335 +"Congo, Dem. Rep.",1967,19941073,Africa,44.056,861.5932424 +"Congo, Dem. Rep.",1972,23007669,Africa,45.989,904.8960685 +"Congo, Dem. Rep.",1977,26480870,Africa,47.804,795.757282 +"Congo, Dem. Rep.",1982,30646495,Africa,47.784,673.7478181 +"Congo, Dem. Rep.",1987,35481645,Africa,47.412,672.774812 +"Congo, Dem. Rep.",1992,41672143,Africa,45.548,457.7191807 +"Congo, Dem. Rep.",1997,47798986,Africa,42.587,312.188423 +"Congo, Dem. Rep.",2002,55379852,Africa,44.966,241.1658765 +"Congo, Dem. 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Rica,1977,2108457,Americas,70.75,5926.876967 +Costa Rica,1982,2424367,Americas,73.45,5262.734751 +Costa Rica,1987,2799811,Americas,74.752,5629.915318 +Costa Rica,1992,3173216,Americas,75.713,6160.416317 +Costa Rica,1997,3518107,Americas,77.26,6677.045314 +Costa Rica,2002,3834934,Americas,78.123,7723.447195 +Costa Rica,2007,4133884,Americas,78.782,9645.06142 +Cote d'Ivoire,1952,2977019,Africa,40.477,1388.594732 +Cote d'Ivoire,1957,3300000,Africa,42.469,1500.895925 +Cote d'Ivoire,1962,3832408,Africa,44.93,1728.869428 +Cote d'Ivoire,1967,4744870,Africa,47.35,2052.050473 +Cote d'Ivoire,1972,6071696,Africa,49.801,2378.201111 +Cote d'Ivoire,1977,7459574,Africa,52.374,2517.736547 +Cote d'Ivoire,1982,9025951,Africa,53.983,2602.710169 +Cote d'Ivoire,1987,10761098,Africa,54.655,2156.956069 +Cote d'Ivoire,1992,12772596,Africa,52.044,1648.073791 +Cote d'Ivoire,1997,14625967,Africa,47.991,1786.265407 +Cote d'Ivoire,2002,16252726,Africa,46.832,1648.800823 +Cote d'Ivoire,2007,18013409,Africa,48.328,1544.750112 +Croatia,1952,3882229,Europe,61.21,3119.23652 +Croatia,1957,3991242,Europe,64.77,4338.231617 +Croatia,1962,4076557,Europe,67.13,5477.890018 +Croatia,1967,4174366,Europe,68.5,6960.297861 +Croatia,1972,4225310,Europe,69.61,9164.090127 +Croatia,1977,4318673,Europe,70.64,11305.38517 +Croatia,1982,4413368,Europe,70.46,13221.82184 +Croatia,1987,4484310,Europe,71.52,13822.58394 +Croatia,1992,4494013,Europe,72.527,8447.794873 +Croatia,1997,4444595,Europe,73.68,9875.604515 +Croatia,2002,4481020,Europe,74.876,11628.38895 +Croatia,2007,4493312,Europe,75.748,14619.22272 +Cuba,1952,6007797,Americas,59.421,5586.53878 +Cuba,1957,6640752,Americas,62.325,6092.174359 +Cuba,1962,7254373,Americas,65.246,5180.75591 +Cuba,1967,8139332,Americas,68.29,5690.268015 +Cuba,1972,8831348,Americas,70.723,5305.445256 +Cuba,1977,9537988,Americas,72.649,6380.494966 +Cuba,1982,9789224,Americas,73.717,7316.918107 +Cuba,1987,10239839,Americas,74.174,7532.924763 +Cuba,1992,10723260,Americas,74.414,5592.843963 +Cuba,1997,10983007,Americas,76.151,5431.990415 +Cuba,2002,11226999,Americas,77.158,6340.646683 +Cuba,2007,11416987,Americas,78.273,8948.102923 +Czech Republic,1952,9125183,Europe,66.87,6876.14025 +Czech Republic,1957,9513758,Europe,69.03,8256.343918 +Czech Republic,1962,9620282,Europe,69.9,10136.86713 +Czech Republic,1967,9835109,Europe,70.38,11399.44489 +Czech Republic,1972,9862158,Europe,70.29,13108.4536 +Czech Republic,1977,10161915,Europe,70.71,14800.16062 +Czech Republic,1982,10303704,Europe,70.96,15377.22855 +Czech Republic,1987,10311597,Europe,71.58,16310.4434 +Czech Republic,1992,10315702,Europe,72.4,14297.02122 +Czech Republic,1997,10300707,Europe,74.01,16048.51424 +Czech Republic,2002,10256295,Europe,75.51,17596.21022 +Czech Republic,2007,10228744,Europe,76.486,22833.30851 +Denmark,1952,4334000,Europe,70.78,9692.385245 +Denmark,1957,4487831,Europe,71.81,11099.65935 +Denmark,1962,4646899,Europe,72.35,13583.31351 +Denmark,1967,4838800,Europe,72.96,15937.21123 +Denmark,1972,4991596,Europe,73.47,18866.20721 +Denmark,1977,5088419,Europe,74.69,20422.9015 +Denmark,1982,5117810,Europe,74.63,21688.04048 +Denmark,1987,5127024,Europe,74.8,25116.17581 +Denmark,1992,5171393,Europe,75.33,26406.73985 +Denmark,1997,5283663,Europe,76.11,29804.34567 +Denmark,2002,5374693,Europe,77.18,32166.50006 +Denmark,2007,5468120,Europe,78.332,35278.41874 +Djibouti,1952,63149,Africa,34.812,2669.529475 +Djibouti,1957,71851,Africa,37.328,2864.969076 +Djibouti,1962,89898,Africa,39.693,3020.989263 +Djibouti,1967,127617,Africa,42.074,3020.050513 +Djibouti,1972,178848,Africa,44.366,3694.212352 +Djibouti,1977,228694,Africa,46.519,3081.761022 +Djibouti,1982,305991,Africa,48.812,2879.468067 +Djibouti,1987,311025,Africa,50.04,2880.102568 +Djibouti,1992,384156,Africa,51.604,2377.156192 +Djibouti,1997,417908,Africa,53.157,1895.016984 +Djibouti,2002,447416,Africa,53.373,1908.260867 +Djibouti,2007,496374,Africa,54.791,2082.481567 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+Ecuador,1977,7278866,Americas,61.31,6679.62326 +Ecuador,1982,8365850,Americas,64.342,7213.791267 +Ecuador,1987,9545158,Americas,67.231,6481.776993 +Ecuador,1992,10748394,Americas,69.613,7103.702595 +Ecuador,1997,11911819,Americas,72.312,7429.455877 +Ecuador,2002,12921234,Americas,74.173,5773.044512 +Ecuador,2007,13755680,Americas,74.994,6873.262326 +Egypt,1952,22223309,Africa,41.893,1418.822445 +Egypt,1957,25009741,Africa,44.444,1458.915272 +Egypt,1962,28173309,Africa,46.992,1693.335853 +Egypt,1967,31681188,Africa,49.293,1814.880728 +Egypt,1972,34807417,Africa,51.137,2024.008147 +Egypt,1977,38783863,Africa,53.319,2785.493582 +Egypt,1982,45681811,Africa,56.006,3503.729636 +Egypt,1987,52799062,Africa,59.797,3885.46071 +Egypt,1992,59402198,Africa,63.674,3794.755195 +Egypt,1997,66134291,Africa,67.217,4173.181797 +Egypt,2002,73312559,Africa,69.806,4754.604414 +Egypt,2007,80264543,Africa,71.338,5581.180998 +El Salvador,1952,2042865,Americas,45.262,3048.3029 +El Salvador,1957,2355805,Americas,48.57,3421.523218 +El Salvador,1962,2747687,Americas,52.307,3776.803627 +El Salvador,1967,3232927,Americas,55.855,4358.595393 +El Salvador,1972,3790903,Americas,58.207,4520.246008 +El Salvador,1977,4282586,Americas,56.696,5138.922374 +El Salvador,1982,4474873,Americas,56.604,4098.344175 +El Salvador,1987,4842194,Americas,63.154,4140.442097 +El Salvador,1992,5274649,Americas,66.798,4444.2317 +El Salvador,1997,5783439,Americas,69.535,5154.825496 +El Salvador,2002,6353681,Americas,70.734,5351.568666 +El Salvador,2007,6939688,Americas,71.878,5728.353514 +Equatorial Guinea,1952,216964,Africa,34.482,375.6431231 +Equatorial Guinea,1957,232922,Africa,35.983,426.0964081 +Equatorial Guinea,1962,249220,Africa,37.485,582.8419714 +Equatorial Guinea,1967,259864,Africa,38.987,915.5960025 +Equatorial Guinea,1972,277603,Africa,40.516,672.4122571 +Equatorial Guinea,1977,192675,Africa,42.024,958.5668124 +Equatorial Guinea,1982,285483,Africa,43.662,927.8253427 +Equatorial Guinea,1987,341244,Africa,45.664,966.8968149 +Equatorial Guinea,1992,387838,Africa,47.545,1132.055034 +Equatorial Guinea,1997,439971,Africa,48.245,2814.480755 +Equatorial Guinea,2002,495627,Africa,49.348,7703.4959 +Equatorial Guinea,2007,551201,Africa,51.579,12154.08975 +Eritrea,1952,1438760,Africa,35.928,328.9405571 +Eritrea,1957,1542611,Africa,38.047,344.1618859 +Eritrea,1962,1666618,Africa,40.158,380.9958433 +Eritrea,1967,1820319,Africa,42.189,468.7949699 +Eritrea,1972,2260187,Africa,44.142,514.3242082 +Eritrea,1977,2512642,Africa,44.535,505.7538077 +Eritrea,1982,2637297,Africa,43.89,524.8758493 +Eritrea,1987,2915959,Africa,46.453,521.1341333 +Eritrea,1992,3668440,Africa,49.991,582.8585102 +Eritrea,1997,4058319,Africa,53.378,913.47079 +Eritrea,2002,4414865,Africa,55.24,765.3500015 +Eritrea,2007,4906585,Africa,58.04,641.3695236 +Ethiopia,1952,20860941,Africa,34.078,362.1462796 +Ethiopia,1957,22815614,Africa,36.667,378.9041632 +Ethiopia,1962,25145372,Africa,40.059,419.4564161 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+Greece,1962,8448233,Europe,69.51,6017.190733 +Greece,1967,8716441,Europe,71,8513.097016 +Greece,1972,8888628,Europe,72.34,12724.82957 +Greece,1977,9308479,Europe,73.68,14195.52428 +Greece,1982,9786480,Europe,75.24,15268.42089 +Greece,1987,9974490,Europe,76.67,16120.52839 +Greece,1992,10325429,Europe,77.03,17541.49634 +Greece,1997,10502372,Europe,77.869,18747.69814 +Greece,2002,10603863,Europe,78.256,22514.2548 +Greece,2007,10706290,Europe,79.483,27538.41188 +Guatemala,1952,3146381,Americas,42.023,2428.237769 +Guatemala,1957,3640876,Americas,44.142,2617.155967 +Guatemala,1962,4208858,Americas,46.954,2750.364446 +Guatemala,1967,4690773,Americas,50.016,3242.531147 +Guatemala,1972,5149581,Americas,53.738,4031.408271 +Guatemala,1977,5703430,Americas,56.029,4879.992748 +Guatemala,1982,6395630,Americas,58.137,4820.49479 +Guatemala,1987,7326406,Americas,60.782,4246.485974 +Guatemala,1992,8486949,Americas,63.373,4439.45084 +Guatemala,1997,9803875,Americas,66.322,4684.313807 +Guatemala,2002,11178650,Americas,68.978,4858.347495 +Guatemala,2007,12572928,Americas,70.259,5186.050003 +Guinea,1952,2664249,Africa,33.609,510.1964923 +Guinea,1957,2876726,Africa,34.558,576.2670245 +Guinea,1962,3140003,Africa,35.753,686.3736739 +Guinea,1967,3451418,Africa,37.197,708.7595409 +Guinea,1972,3811387,Africa,38.842,741.6662307 +Guinea,1977,4227026,Africa,40.762,874.6858643 +Guinea,1982,4710497,Africa,42.891,857.2503577 +Guinea,1987,5650262,Africa,45.552,805.5724718 +Guinea,1992,6990574,Africa,48.576,794.3484384 +Guinea,1997,8048834,Africa,51.455,869.4497668 +Guinea,2002,8807818,Africa,53.676,945.5835837 +Guinea,2007,9947814,Africa,56.007,942.6542111 +Guinea-Bissau,1952,580653,Africa,32.5,299.850319 +Guinea-Bissau,1957,601095,Africa,33.489,431.7904566 +Guinea-Bissau,1962,627820,Africa,34.488,522.0343725 +Guinea-Bissau,1967,601287,Africa,35.492,715.5806402 +Guinea-Bissau,1972,625361,Africa,36.486,820.2245876 +Guinea-Bissau,1977,745228,Africa,37.465,764.7259628 +Guinea-Bissau,1982,825987,Africa,39.327,838.1239671 +Guinea-Bissau,1987,927524,Africa,41.245,736.4153921 +Guinea-Bissau,1992,1050938,Africa,43.266,745.5398706 +Guinea-Bissau,1997,1193708,Africa,44.873,796.6644681 +Guinea-Bissau,2002,1332459,Africa,45.504,575.7047176 +Guinea-Bissau,2007,1472041,Africa,46.388,579.231743 +Haiti,1952,3201488,Americas,37.579,1840.366939 +Haiti,1957,3507701,Americas,40.696,1726.887882 +Haiti,1962,3880130,Americas,43.59,1796.589032 +Haiti,1967,4318137,Americas,46.243,1452.057666 +Haiti,1972,4698301,Americas,48.042,1654.456946 +Haiti,1977,4908554,Americas,49.923,1874.298931 +Haiti,1982,5198399,Americas,51.461,2011.159549 +Haiti,1987,5756203,Americas,53.636,1823.015995 +Haiti,1992,6326682,Americas,55.089,1456.309517 +Haiti,1997,6913545,Americas,56.671,1341.726931 +Haiti,2002,7607651,Americas,58.137,1270.364932 +Haiti,2007,8502814,Americas,60.916,1201.637154 +Honduras,1952,1517453,Americas,41.912,2194.926204 +Honduras,1957,1770390,Americas,44.665,2220.487682 +Honduras,1962,2090162,Americas,48.041,2291.156835 +Honduras,1967,2500689,Americas,50.924,2538.269358 +Honduras,1972,2965146,Americas,53.884,2529.842345 +Honduras,1977,3055235,Americas,57.402,3203.208066 +Honduras,1982,3669448,Americas,60.909,3121.760794 +Honduras,1987,4372203,Americas,64.492,3023.096699 +Honduras,1992,5077347,Americas,66.399,3081.694603 +Honduras,1997,5867957,Americas,67.659,3160.454906 +Honduras,2002,6677328,Americas,68.565,3099.72866 +Honduras,2007,7483763,Americas,70.198,3548.330846 +"Hong Kong, China",1952,2125900,Asia,60.96,3054.421209 +"Hong Kong, China",1957,2736300,Asia,64.75,3629.076457 +"Hong Kong, China",1962,3305200,Asia,67.65,4692.648272 +"Hong Kong, China",1967,3722800,Asia,70,6197.962814 +"Hong Kong, China",1972,4115700,Asia,72,8315.928145 +"Hong Kong, China",1977,4583700,Asia,73.6,11186.14125 +"Hong Kong, China",1982,5264500,Asia,75.45,14560.53051 +"Hong Kong, China",1987,5584510,Asia,76.2,20038.47269 +"Hong Kong, China",1992,5829696,Asia,77.601,24757.60301 +"Hong Kong, China",1997,6495918,Asia,80,28377.63219 +"Hong Kong, China",2002,6762476,Asia,81.495,30209.01516 +"Hong Kong, China",2007,6980412,Asia,82.208,39724.97867 +Hungary,1952,9504000,Europe,64.03,5263.673816 +Hungary,1957,9839000,Europe,66.41,6040.180011 +Hungary,1962,10063000,Europe,67.96,7550.359877 +Hungary,1967,10223422,Europe,69.5,9326.64467 +Hungary,1972,10394091,Europe,69.76,10168.65611 +Hungary,1977,10637171,Europe,69.95,11674.83737 +Hungary,1982,10705535,Europe,69.39,12545.99066 +Hungary,1987,10612740,Europe,69.58,12986.47998 +Hungary,1992,10348684,Europe,69.17,10535.62855 +Hungary,1997,10244684,Europe,71.04,11712.7768 +Hungary,2002,10083313,Europe,72.59,14843.93556 +Hungary,2007,9956108,Europe,73.338,18008.94444 +Iceland,1952,147962,Europe,72.49,7267.688428 +Iceland,1957,165110,Europe,73.47,9244.001412 +Iceland,1962,182053,Europe,73.68,10350.15906 +Iceland,1967,198676,Europe,73.73,13319.89568 +Iceland,1972,209275,Europe,74.46,15798.06362 +Iceland,1977,221823,Europe,76.11,19654.96247 +Iceland,1982,233997,Europe,76.99,23269.6075 +Iceland,1987,244676,Europe,77.23,26923.20628 +Iceland,1992,259012,Europe,78.77,25144.39201 +Iceland,1997,271192,Europe,78.95,28061.09966 +Iceland,2002,288030,Europe,80.5,31163.20196 +Iceland,2007,301931,Europe,81.757,36180.78919 +India,1952,372000000,Asia,37.373,546.5657493 +India,1957,409000000,Asia,40.249,590.061996 +India,1962,454000000,Asia,43.605,658.3471509 +India,1967,506000000,Asia,47.193,700.7706107 +India,1972,567000000,Asia,50.651,724.032527 +India,1977,634000000,Asia,54.208,813.337323 +India,1982,708000000,Asia,56.596,855.7235377 +India,1987,788000000,Asia,58.553,976.5126756 +India,1992,872000000,Asia,60.223,1164.406809 +India,1997,959000000,Asia,61.765,1458.817442 +India,2002,1034172547,Asia,62.879,1746.769454 +India,2007,1110396331,Asia,64.698,2452.210407 +Indonesia,1952,82052000,Asia,37.468,749.6816546 +Indonesia,1957,90124000,Asia,39.918,858.9002707 +Indonesia,1962,99028000,Asia,42.518,849.2897701 +Indonesia,1967,109343000,Asia,45.964,762.4317721 +Indonesia,1972,121282000,Asia,49.203,1111.107907 +Indonesia,1977,136725000,Asia,52.702,1382.702056 +Indonesia,1982,153343000,Asia,56.159,1516.872988 +Indonesia,1987,169276000,Asia,60.137,1748.356961 +Indonesia,1992,184816000,Asia,62.681,2383.140898 +Indonesia,1997,199278000,Asia,66.041,3119.335603 +Indonesia,2002,211060000,Asia,68.588,2873.91287 +Indonesia,2007,223547000,Asia,70.65,3540.651564 +Iran,1952,17272000,Asia,44.869,3035.326002 +Iran,1957,19792000,Asia,47.181,3290.257643 +Iran,1962,22874000,Asia,49.325,4187.329802 +Iran,1967,26538000,Asia,52.469,5906.731805 +Iran,1972,30614000,Asia,55.234,9613.818607 +Iran,1977,35480679,Asia,57.702,11888.59508 +Iran,1982,43072751,Asia,59.62,7608.334602 +Iran,1987,51889696,Asia,63.04,6642.881371 +Iran,1992,60397973,Asia,65.742,7235.653188 +Iran,1997,63327987,Asia,68.042,8263.590301 +Iran,2002,66907826,Asia,69.451,9240.761975 +Iran,2007,69453570,Asia,70.964,11605.71449 +Iraq,1952,5441766,Asia,45.32,4129.766056 +Iraq,1957,6248643,Asia,48.437,6229.333562 +Iraq,1962,7240260,Asia,51.457,8341.737815 +Iraq,1967,8519282,Asia,54.459,8931.459811 +Iraq,1972,10061506,Asia,56.95,9576.037596 +Iraq,1977,11882916,Asia,60.413,14688.23507 +Iraq,1982,14173318,Asia,62.038,14517.90711 +Iraq,1987,16543189,Asia,65.044,11643.57268 +Iraq,1992,17861905,Asia,59.461,3745.640687 +Iraq,1997,20775703,Asia,58.811,3076.239795 +Iraq,2002,24001816,Asia,57.046,4390.717312 +Iraq,2007,27499638,Asia,59.545,4471.061906 +Ireland,1952,2952156,Europe,66.91,5210.280328 +Ireland,1957,2878220,Europe,68.9,5599.077872 +Ireland,1962,2830000,Europe,70.29,6631.597314 +Ireland,1967,2900100,Europe,71.08,7655.568963 +Ireland,1972,3024400,Europe,71.28,9530.772896 +Ireland,1977,3271900,Europe,72.03,11150.98113 +Ireland,1982,3480000,Europe,73.1,12618.32141 +Ireland,1987,3539900,Europe,74.36,13872.86652 +Ireland,1992,3557761,Europe,75.467,17558.81555 +Ireland,1997,3667233,Europe,76.122,24521.94713 +Ireland,2002,3879155,Europe,77.783,34077.04939 +Ireland,2007,4109086,Europe,78.885,40675.99635 +Israel,1952,1620914,Asia,65.39,4086.522128 +Israel,1957,1944401,Asia,67.84,5385.278451 +Israel,1962,2310904,Asia,69.39,7105.630706 +Israel,1967,2693585,Asia,70.75,8393.741404 +Israel,1972,3095893,Asia,71.63,12786.93223 +Israel,1977,3495918,Asia,73.06,13306.61921 +Israel,1982,3858421,Asia,74.45,15367.0292 +Israel,1987,4203148,Asia,75.6,17122.47986 +Israel,1992,4936550,Asia,76.93,18051.52254 +Israel,1997,5531387,Asia,78.269,20896.60924 +Israel,2002,6029529,Asia,79.696,21905.59514 +Israel,2007,6426679,Asia,80.745,25523.2771 +Italy,1952,47666000,Europe,65.94,4931.404155 +Italy,1957,49182000,Europe,67.81,6248.656232 +Italy,1962,50843200,Europe,69.24,8243.58234 +Italy,1967,52667100,Europe,71.06,10022.40131 +Italy,1972,54365564,Europe,72.19,12269.27378 +Italy,1977,56059245,Europe,73.48,14255.98475 +Italy,1982,56535636,Europe,74.98,16537.4835 +Italy,1987,56729703,Europe,76.42,19207.23482 +Italy,1992,56840847,Europe,77.44,22013.64486 +Italy,1997,57479469,Europe,78.82,24675.02446 +Italy,2002,57926999,Europe,80.24,27968.09817 +Italy,2007,58147733,Europe,80.546,28569.7197 +Jamaica,1952,1426095,Americas,58.53,2898.530881 +Jamaica,1957,1535090,Americas,62.61,4756.525781 +Jamaica,1962,1665128,Americas,65.61,5246.107524 +Jamaica,1967,1861096,Americas,67.51,6124.703451 +Jamaica,1972,1997616,Americas,69,7433.889293 +Jamaica,1977,2156814,Americas,70.11,6650.195573 +Jamaica,1982,2298309,Americas,71.21,6068.05135 +Jamaica,1987,2326606,Americas,71.77,6351.237495 +Jamaica,1992,2378618,Americas,71.766,7404.923685 +Jamaica,1997,2531311,Americas,72.262,7121.924704 +Jamaica,2002,2664659,Americas,72.047,6994.774861 +Jamaica,2007,2780132,Americas,72.567,7320.880262 +Japan,1952,86459025,Asia,63.03,3216.956347 +Japan,1957,91563009,Asia,65.5,4317.694365 +Japan,1962,95831757,Asia,68.73,6576.649461 +Japan,1967,100825279,Asia,71.43,9847.788607 +Japan,1972,107188273,Asia,73.42,14778.78636 +Japan,1977,113872473,Asia,75.38,16610.37701 +Japan,1982,118454974,Asia,77.11,19384.10571 +Japan,1987,122091325,Asia,78.67,22375.94189 +Japan,1992,124329269,Asia,79.36,26824.89511 +Japan,1997,125956499,Asia,80.69,28816.58499 +Japan,2002,127065841,Asia,82,28604.5919 +Japan,2007,127467972,Asia,82.603,31656.06806 +Jordan,1952,607914,Asia,43.158,1546.907807 +Jordan,1957,746559,Asia,45.669,1886.080591 +Jordan,1962,933559,Asia,48.126,2348.009158 +Jordan,1967,1255058,Asia,51.629,2741.796252 +Jordan,1972,1613551,Asia,56.528,2110.856309 +Jordan,1977,1937652,Asia,61.134,2852.351568 +Jordan,1982,2347031,Asia,63.739,4161.415959 +Jordan,1987,2820042,Asia,65.869,4448.679912 +Jordan,1992,3867409,Asia,68.015,3431.593647 +Jordan,1997,4526235,Asia,69.772,3645.379572 +Jordan,2002,5307470,Asia,71.263,3844.917194 +Jordan,2007,6053193,Asia,72.535,4519.461171 +Kenya,1952,6464046,Africa,42.27,853.540919 +Kenya,1957,7454779,Africa,44.686,944.4383152 +Kenya,1962,8678557,Africa,47.949,896.9663732 +Kenya,1967,10191512,Africa,50.654,1056.736457 +Kenya,1972,12044785,Africa,53.559,1222.359968 +Kenya,1977,14500404,Africa,56.155,1267.613204 +Kenya,1982,17661452,Africa,58.766,1348.225791 +Kenya,1987,21198082,Africa,59.339,1361.936856 +Kenya,1992,25020539,Africa,59.285,1341.921721 +Kenya,1997,28263827,Africa,54.407,1360.485021 +Kenya,2002,31386842,Africa,50.992,1287.514732 +Kenya,2007,35610177,Africa,54.11,1463.249282 +"Korea, Dem. Rep.",1952,8865488,Asia,50.056,1088.277758 +"Korea, Dem. Rep.",1957,9411381,Asia,54.081,1571.134655 +"Korea, Dem. Rep.",1962,10917494,Asia,56.656,1621.693598 +"Korea, Dem. Rep.",1967,12617009,Asia,59.942,2143.540609 +"Korea, Dem. Rep.",1972,14781241,Asia,63.983,3701.621503 +"Korea, Dem. Rep.",1977,16325320,Asia,67.159,4106.301249 +"Korea, Dem. Rep.",1982,17647518,Asia,69.1,4106.525293 +"Korea, Dem. Rep.",1987,19067554,Asia,70.647,4106.492315 +"Korea, Dem. Rep.",1992,20711375,Asia,69.978,3726.063507 +"Korea, Dem. Rep.",1997,21585105,Asia,67.727,1690.756814 +"Korea, Dem. Rep.",2002,22215365,Asia,66.662,1646.758151 +"Korea, Dem. Rep.",2007,23301725,Asia,67.297,1593.06548 +"Korea, Rep.",1952,20947571,Asia,47.453,1030.592226 +"Korea, Rep.",1957,22611552,Asia,52.681,1487.593537 +"Korea, Rep.",1962,26420307,Asia,55.292,1536.344387 +"Korea, Rep.",1967,30131000,Asia,57.716,2029.228142 +"Korea, Rep.",1972,33505000,Asia,62.612,3030.87665 +"Korea, Rep.",1977,36436000,Asia,64.766,4657.22102 +"Korea, Rep.",1982,39326000,Asia,67.123,5622.942464 +"Korea, Rep.",1987,41622000,Asia,69.81,8533.088805 +"Korea, Rep.",1992,43805450,Asia,72.244,12104.27872 +"Korea, Rep.",1997,46173816,Asia,74.647,15993.52796 +"Korea, Rep.",2002,47969150,Asia,77.045,19233.98818 +"Korea, Rep.",2007,49044790,Asia,78.623,23348.13973 +Kuwait,1952,160000,Asia,55.565,108382.3529 +Kuwait,1957,212846,Asia,58.033,113523.1329 +Kuwait,1962,358266,Asia,60.47,95458.11176 +Kuwait,1967,575003,Asia,64.624,80894.88326 +Kuwait,1972,841934,Asia,67.712,109347.867 +Kuwait,1977,1140357,Asia,69.343,59265.47714 +Kuwait,1982,1497494,Asia,71.309,31354.03573 +Kuwait,1987,1891487,Asia,74.174,28118.42998 +Kuwait,1992,1418095,Asia,75.19,34932.91959 +Kuwait,1997,1765345,Asia,76.156,40300.61996 +Kuwait,2002,2111561,Asia,76.904,35110.10566 +Kuwait,2007,2505559,Asia,77.588,47306.98978 +Lebanon,1952,1439529,Asia,55.928,4834.804067 +Lebanon,1957,1647412,Asia,59.489,6089.786934 +Lebanon,1962,1886848,Asia,62.094,5714.560611 +Lebanon,1967,2186894,Asia,63.87,6006.983042 +Lebanon,1972,2680018,Asia,65.421,7486.384341 +Lebanon,1977,3115787,Asia,66.099,8659.696836 +Lebanon,1982,3086876,Asia,66.983,7640.519521 +Lebanon,1987,3089353,Asia,67.926,5377.091329 +Lebanon,1992,3219994,Asia,69.292,6890.806854 +Lebanon,1997,3430388,Asia,70.265,8754.96385 +Lebanon,2002,3677780,Asia,71.028,9313.93883 +Lebanon,2007,3921278,Asia,71.993,10461.05868 +Lesotho,1952,748747,Africa,42.138,298.8462121 +Lesotho,1957,813338,Africa,45.047,335.9971151 +Lesotho,1962,893143,Africa,47.747,411.8006266 +Lesotho,1967,996380,Africa,48.492,498.6390265 +Lesotho,1972,1116779,Africa,49.767,496.5815922 +Lesotho,1977,1251524,Africa,52.208,745.3695408 +Lesotho,1982,1411807,Africa,55.078,797.2631074 +Lesotho,1987,1599200,Africa,57.18,773.9932141 +Lesotho,1992,1803195,Africa,59.685,977.4862725 +Lesotho,1997,1982823,Africa,55.558,1186.147994 +Lesotho,2002,2046772,Africa,44.593,1275.184575 +Lesotho,2007,2012649,Africa,42.592,1569.331442 +Liberia,1952,863308,Africa,38.48,575.5729961 +Liberia,1957,975950,Africa,39.486,620.9699901 +Liberia,1962,1112796,Africa,40.502,634.1951625 +Liberia,1967,1279406,Africa,41.536,713.6036483 +Liberia,1972,1482628,Africa,42.614,803.0054535 +Liberia,1977,1703617,Africa,43.764,640.3224383 +Liberia,1982,1956875,Africa,44.852,572.1995694 +Liberia,1987,2269414,Africa,46.027,506.1138573 +Liberia,1992,1912974,Africa,40.802,636.6229191 +Liberia,1997,2200725,Africa,42.221,609.1739508 +Liberia,2002,2814651,Africa,43.753,531.4823679 +Liberia,2007,3193942,Africa,45.678,414.5073415 +Libya,1952,1019729,Africa,42.723,2387.54806 +Libya,1957,1201578,Africa,45.289,3448.284395 +Libya,1962,1441863,Africa,47.808,6757.030816 +Libya,1967,1759224,Africa,50.227,18772.75169 +Libya,1972,2183877,Africa,52.773,21011.49721 +Libya,1977,2721783,Africa,57.442,21951.21176 +Libya,1982,3344074,Africa,62.155,17364.27538 +Libya,1987,3799845,Africa,66.234,11770.5898 +Libya,1992,4364501,Africa,68.755,9640.138501 +Libya,1997,4759670,Africa,71.555,9467.446056 +Libya,2002,5368585,Africa,72.737,9534.677467 +Libya,2007,6036914,Africa,73.952,12057.49928 +Madagascar,1952,4762912,Africa,36.681,1443.011715 +Madagascar,1957,5181679,Africa,38.865,1589.20275 +Madagascar,1962,5703324,Africa,40.848,1643.38711 +Madagascar,1967,6334556,Africa,42.881,1634.047282 +Madagascar,1972,7082430,Africa,44.851,1748.562982 +Madagascar,1977,8007166,Africa,46.881,1544.228586 +Madagascar,1982,9171477,Africa,48.969,1302.878658 +Madagascar,1987,10568642,Africa,49.35,1155.441948 +Madagascar,1992,12210395,Africa,52.214,1040.67619 +Madagascar,1997,14165114,Africa,54.978,986.2958956 +Madagascar,2002,16473477,Africa,57.286,894.6370822 +Madagascar,2007,19167654,Africa,59.443,1044.770126 +Malawi,1952,2917802,Africa,36.256,369.1650802 +Malawi,1957,3221238,Africa,37.207,416.3698064 +Malawi,1962,3628608,Africa,38.41,427.9010856 +Malawi,1967,4147252,Africa,39.487,495.5147806 +Malawi,1972,4730997,Africa,41.766,584.6219709 +Malawi,1977,5637246,Africa,43.767,663.2236766 +Malawi,1982,6502825,Africa,45.642,632.8039209 +Malawi,1987,7824747,Africa,47.457,635.5173634 +Malawi,1992,10014249,Africa,49.42,563.2000145 +Malawi,1997,10419991,Africa,47.495,692.2758103 +Malawi,2002,11824495,Africa,45.009,665.4231186 +Malawi,2007,13327079,Africa,48.303,759.3499101 +Malaysia,1952,6748378,Asia,48.463,1831.132894 +Malaysia,1957,7739235,Asia,52.102,1810.066992 +Malaysia,1962,8906385,Asia,55.737,2036.884944 +Malaysia,1967,10154878,Asia,59.371,2277.742396 +Malaysia,1972,11441462,Asia,63.01,2849.09478 +Malaysia,1977,12845381,Asia,65.256,3827.921571 +Malaysia,1982,14441916,Asia,68,4920.355951 +Malaysia,1987,16331785,Asia,69.5,5249.802653 +Malaysia,1992,18319502,Asia,70.693,7277.912802 +Malaysia,1997,20476091,Asia,71.938,10132.90964 +Malaysia,2002,22662365,Asia,73.044,10206.97794 +Malaysia,2007,24821286,Asia,74.241,12451.6558 +Mali,1952,3838168,Africa,33.685,452.3369807 +Mali,1957,4241884,Africa,35.307,490.3821867 +Mali,1962,4690372,Africa,36.936,496.1743428 +Mali,1967,5212416,Africa,38.487,545.0098873 +Mali,1972,5828158,Africa,39.977,581.3688761 +Mali,1977,6491649,Africa,41.714,686.3952693 +Mali,1982,6998256,Africa,43.916,618.0140641 +Mali,1987,7634008,Africa,46.364,684.1715576 +Mali,1992,8416215,Africa,48.388,739.014375 +Mali,1997,9384984,Africa,49.903,790.2579846 +Mali,2002,10580176,Africa,51.818,951.4097518 +Mali,2007,12031795,Africa,54.467,1042.581557 +Mauritania,1952,1022556,Africa,40.543,743.1159097 +Mauritania,1957,1076852,Africa,42.338,846.1202613 +Mauritania,1962,1146757,Africa,44.248,1055.896036 +Mauritania,1967,1230542,Africa,46.289,1421.145193 +Mauritania,1972,1332786,Africa,48.437,1586.851781 +Mauritania,1977,1456688,Africa,50.852,1497.492223 +Mauritania,1982,1622136,Africa,53.599,1481.150189 +Mauritania,1987,1841240,Africa,56.145,1421.603576 +Mauritania,1992,2119465,Africa,58.333,1361.369784 +Mauritania,1997,2444741,Africa,60.43,1483.136136 +Mauritania,2002,2828858,Africa,62.247,1579.019543 +Mauritania,2007,3270065,Africa,64.164,1803.151496 +Mauritius,1952,516556,Africa,50.986,1967.955707 +Mauritius,1957,609816,Africa,58.089,2034.037981 +Mauritius,1962,701016,Africa,60.246,2529.067487 +Mauritius,1967,789309,Africa,61.557,2475.387562 +Mauritius,1972,851334,Africa,62.944,2575.484158 +Mauritius,1977,913025,Africa,64.93,3710.982963 +Mauritius,1982,992040,Africa,66.711,3688.037739 +Mauritius,1987,1042663,Africa,68.74,4783.586903 +Mauritius,1992,1096202,Africa,69.745,6058.253846 +Mauritius,1997,1149818,Africa,70.736,7425.705295 +Mauritius,2002,1200206,Africa,71.954,9021.815894 +Mauritius,2007,1250882,Africa,72.801,10956.99112 +Mexico,1952,30144317,Americas,50.789,3478.125529 +Mexico,1957,35015548,Americas,55.19,4131.546641 +Mexico,1962,41121485,Americas,58.299,4581.609385 +Mexico,1967,47995559,Americas,60.11,5754.733883 +Mexico,1972,55984294,Americas,62.361,6809.40669 +Mexico,1977,63759976,Americas,65.032,7674.929108 +Mexico,1982,71640904,Americas,67.405,9611.147541 +Mexico,1987,80122492,Americas,69.498,8688.156003 +Mexico,1992,88111030,Americas,71.455,9472.384295 +Mexico,1997,95895146,Americas,73.67,9767.29753 +Mexico,2002,102479927,Americas,74.902,10742.44053 +Mexico,2007,108700891,Americas,76.195,11977.57496 +Mongolia,1952,800663,Asia,42.244,786.5668575 +Mongolia,1957,882134,Asia,45.248,912.6626085 +Mongolia,1962,1010280,Asia,48.251,1056.353958 +Mongolia,1967,1149500,Asia,51.253,1226.04113 +Mongolia,1972,1320500,Asia,53.754,1421.741975 +Mongolia,1977,1528000,Asia,55.491,1647.511665 +Mongolia,1982,1756032,Asia,57.489,2000.603139 +Mongolia,1987,2015133,Asia,60.222,2338.008304 +Mongolia,1992,2312802,Asia,61.271,1785.402016 +Mongolia,1997,2494803,Asia,63.625,1902.2521 +Mongolia,2002,2674234,Asia,65.033,2140.739323 +Mongolia,2007,2874127,Asia,66.803,3095.772271 +Montenegro,1952,413834,Europe,59.164,2647.585601 +Montenegro,1957,442829,Europe,61.448,3682.259903 +Montenegro,1962,474528,Europe,63.728,4649.593785 +Montenegro,1967,501035,Europe,67.178,5907.850937 +Montenegro,1972,527678,Europe,70.636,7778.414017 +Montenegro,1977,560073,Europe,73.066,9595.929905 +Montenegro,1982,562548,Europe,74.101,11222.58762 +Montenegro,1987,569473,Europe,74.865,11732.51017 +Montenegro,1992,621621,Europe,75.435,7003.339037 +Montenegro,1997,692651,Europe,75.445,6465.613349 +Montenegro,2002,720230,Europe,73.981,6557.194282 +Montenegro,2007,684736,Europe,74.543,9253.896111 +Morocco,1952,9939217,Africa,42.873,1688.20357 +Morocco,1957,11406350,Africa,45.423,1642.002314 +Morocco,1962,13056604,Africa,47.924,1566.353493 +Morocco,1967,14770296,Africa,50.335,1711.04477 +Morocco,1972,16660670,Africa,52.862,1930.194975 +Morocco,1977,18396941,Africa,55.73,2370.619976 +Morocco,1982,20198730,Africa,59.65,2702.620356 +Morocco,1987,22987397,Africa,62.677,2755.046991 +Morocco,1992,25798239,Africa,65.393,2948.047252 +Morocco,1997,28529501,Africa,67.66,2982.101858 +Morocco,2002,31167783,Africa,69.615,3258.495584 +Morocco,2007,33757175,Africa,71.164,3820.17523 +Mozambique,1952,6446316,Africa,31.286,468.5260381 +Mozambique,1957,7038035,Africa,33.779,495.5868333 +Mozambique,1962,7788944,Africa,36.161,556.6863539 +Mozambique,1967,8680909,Africa,38.113,566.6691539 +Mozambique,1972,9809596,Africa,40.328,724.9178037 +Mozambique,1977,11127868,Africa,42.495,502.3197334 +Mozambique,1982,12587223,Africa,42.795,462.2114149 +Mozambique,1987,12891952,Africa,42.861,389.8761846 +Mozambique,1992,13160731,Africa,44.284,410.8968239 +Mozambique,1997,16603334,Africa,46.344,472.3460771 +Mozambique,2002,18473780,Africa,44.026,633.6179466 +Mozambique,2007,19951656,Africa,42.082,823.6856205 +Myanmar,1952,20092996,Asia,36.319,331 +Myanmar,1957,21731844,Asia,41.905,350 +Myanmar,1962,23634436,Asia,45.108,388 +Myanmar,1967,25870271,Asia,49.379,349 +Myanmar,1972,28466390,Asia,53.07,357 +Myanmar,1977,31528087,Asia,56.059,371 +Myanmar,1982,34680442,Asia,58.056,424 +Myanmar,1987,38028578,Asia,58.339,385 +Myanmar,1992,40546538,Asia,59.32,347 +Myanmar,1997,43247867,Asia,60.328,415 +Myanmar,2002,45598081,Asia,59.908,611 +Myanmar,2007,47761980,Asia,62.069,944 +Namibia,1952,485831,Africa,41.725,2423.780443 +Namibia,1957,548080,Africa,45.226,2621.448058 +Namibia,1962,621392,Africa,48.386,3173.215595 +Namibia,1967,706640,Africa,51.159,3793.694753 +Namibia,1972,821782,Africa,53.867,3746.080948 +Namibia,1977,977026,Africa,56.437,3876.485958 +Namibia,1982,1099010,Africa,58.968,4191.100511 +Namibia,1987,1278184,Africa,60.835,3693.731337 +Namibia,1992,1554253,Africa,61.999,3804.537999 +Namibia,1997,1774766,Africa,58.909,3899.52426 +Namibia,2002,1972153,Africa,51.479,4072.324751 +Namibia,2007,2055080,Africa,52.906,4811.060429 +Nepal,1952,9182536,Asia,36.157,545.8657229 +Nepal,1957,9682338,Asia,37.686,597.9363558 +Nepal,1962,10332057,Asia,39.393,652.3968593 +Nepal,1967,11261690,Asia,41.472,676.4422254 +Nepal,1972,12412593,Asia,43.971,674.7881296 +Nepal,1977,13933198,Asia,46.748,694.1124398 +Nepal,1982,15796314,Asia,49.594,718.3730947 +Nepal,1987,17917180,Asia,52.537,775.6324501 +Nepal,1992,20326209,Asia,55.727,897.7403604 +Nepal,1997,23001113,Asia,59.426,1010.892138 +Nepal,2002,25873917,Asia,61.34,1057.206311 +Nepal,2007,28901790,Asia,63.785,1091.359778 +Netherlands,1952,10381988,Europe,72.13,8941.571858 +Netherlands,1957,11026383,Europe,72.99,11276.19344 +Netherlands,1962,11805689,Europe,73.23,12790.84956 +Netherlands,1967,12596822,Europe,73.82,15363.25136 +Netherlands,1972,13329874,Europe,73.75,18794.74567 +Netherlands,1977,13852989,Europe,75.24,21209.0592 +Netherlands,1982,14310401,Europe,76.05,21399.46046 +Netherlands,1987,14665278,Europe,76.83,23651.32361 +Netherlands,1992,15174244,Europe,77.42,26790.94961 +Netherlands,1997,15604464,Europe,78.03,30246.13063 +Netherlands,2002,16122830,Europe,78.53,33724.75778 +Netherlands,2007,16570613,Europe,79.762,36797.93332 +New Zealand,1952,1994794,Oceania,69.39,10556.57566 +New Zealand,1957,2229407,Oceania,70.26,12247.39532 +New Zealand,1962,2488550,Oceania,71.24,13175.678 +New Zealand,1967,2728150,Oceania,71.52,14463.91893 +New Zealand,1972,2929100,Oceania,71.89,16046.03728 +New Zealand,1977,3164900,Oceania,72.22,16233.7177 +New Zealand,1982,3210650,Oceania,73.84,17632.4104 +New Zealand,1987,3317166,Oceania,74.32,19007.19129 +New Zealand,1992,3437674,Oceania,76.33,18363.32494 +New Zealand,1997,3676187,Oceania,77.55,21050.41377 +New Zealand,2002,3908037,Oceania,79.11,23189.80135 +New Zealand,2007,4115771,Oceania,80.204,25185.00911 +Nicaragua,1952,1165790,Americas,42.314,3112.363948 +Nicaragua,1957,1358828,Americas,45.432,3457.415947 +Nicaragua,1962,1590597,Americas,48.632,3634.364406 +Nicaragua,1967,1865490,Americas,51.884,4643.393534 +Nicaragua,1972,2182908,Americas,55.151,4688.593267 +Nicaragua,1977,2554598,Americas,57.47,5486.371089 +Nicaragua,1982,2979423,Americas,59.298,3470.338156 +Nicaragua,1987,3344353,Americas,62.008,2955.984375 +Nicaragua,1992,4017939,Americas,65.843,2170.151724 +Nicaragua,1997,4609572,Americas,68.426,2253.023004 +Nicaragua,2002,5146848,Americas,70.836,2474.548819 +Nicaragua,2007,5675356,Americas,72.899,2749.320965 +Niger,1952,3379468,Africa,37.444,761.879376 +Niger,1957,3692184,Africa,38.598,835.5234025 +Niger,1962,4076008,Africa,39.487,997.7661127 +Niger,1967,4534062,Africa,40.118,1054.384891 +Niger,1972,5060262,Africa,40.546,954.2092363 +Niger,1977,5682086,Africa,41.291,808.8970728 +Niger,1982,6437188,Africa,42.598,909.7221354 +Niger,1987,7332638,Africa,44.555,668.3000228 +Niger,1992,8392818,Africa,47.391,581.182725 +Niger,1997,9666252,Africa,51.313,580.3052092 +Niger,2002,11140655,Africa,54.496,601.0745012 +Niger,2007,12894865,Africa,56.867,619.6768924 +Nigeria,1952,33119096,Africa,36.324,1077.281856 +Nigeria,1957,37173340,Africa,37.802,1100.592563 +Nigeria,1962,41871351,Africa,39.36,1150.927478 +Nigeria,1967,47287752,Africa,41.04,1014.514104 +Nigeria,1972,53740085,Africa,42.821,1698.388838 +Nigeria,1977,62209173,Africa,44.514,1981.951806 +Nigeria,1982,73039376,Africa,45.826,1576.97375 +Nigeria,1987,81551520,Africa,46.886,1385.029563 +Nigeria,1992,93364244,Africa,47.472,1619.848217 +Nigeria,1997,106207839,Africa,47.464,1624.941275 +Nigeria,2002,119901274,Africa,46.608,1615.286395 +Nigeria,2007,135031164,Africa,46.859,2013.977305 +Norway,1952,3327728,Europe,72.67,10095.42172 +Norway,1957,3491938,Europe,73.44,11653.97304 +Norway,1962,3638919,Europe,73.47,13450.40151 +Norway,1967,3786019,Europe,74.08,16361.87647 +Norway,1972,3933004,Europe,74.34,18965.05551 +Norway,1977,4043205,Europe,75.37,23311.34939 +Norway,1982,4114787,Europe,75.97,26298.63531 +Norway,1987,4186147,Europe,75.89,31540.9748 +Norway,1992,4286357,Europe,77.32,33965.66115 +Norway,1997,4405672,Europe,78.32,41283.16433 +Norway,2002,4535591,Europe,79.05,44683.97525 +Norway,2007,4627926,Europe,80.196,49357.19017 +Oman,1952,507833,Asia,37.578,1828.230307 +Oman,1957,561977,Asia,40.08,2242.746551 +Oman,1962,628164,Asia,43.165,2924.638113 +Oman,1967,714775,Asia,46.988,4720.942687 +Oman,1972,829050,Asia,52.143,10618.03855 +Oman,1977,1004533,Asia,57.367,11848.34392 +Oman,1982,1301048,Asia,62.728,12954.79101 +Oman,1987,1593882,Asia,67.734,18115.22313 +Oman,1992,1915208,Asia,71.197,18616.70691 +Oman,1997,2283635,Asia,72.499,19702.05581 +Oman,2002,2713462,Asia,74.193,19774.83687 +Oman,2007,3204897,Asia,75.64,22316.19287 +Pakistan,1952,41346560,Asia,43.436,684.5971438 +Pakistan,1957,46679944,Asia,45.557,747.0835292 +Pakistan,1962,53100671,Asia,47.67,803.3427418 +Pakistan,1967,60641899,Asia,49.8,942.4082588 +Pakistan,1972,69325921,Asia,51.929,1049.938981 +Pakistan,1977,78152686,Asia,54.043,1175.921193 +Pakistan,1982,91462088,Asia,56.158,1443.429832 +Pakistan,1987,105186881,Asia,58.245,1704.686583 +Pakistan,1992,120065004,Asia,60.838,1971.829464 +Pakistan,1997,135564834,Asia,61.818,2049.350521 +Pakistan,2002,153403524,Asia,63.61,2092.712441 +Pakistan,2007,169270617,Asia,65.483,2605.94758 +Panama,1952,940080,Americas,55.191,2480.380334 +Panama,1957,1063506,Americas,59.201,2961.800905 +Panama,1962,1215725,Americas,61.817,3536.540301 +Panama,1967,1405486,Americas,64.071,4421.009084 +Panama,1972,1616384,Americas,66.216,5364.249663 +Panama,1977,1839782,Americas,68.681,5351.912144 +Panama,1982,2036305,Americas,70.472,7009.601598 +Panama,1987,2253639,Americas,71.523,7034.779161 +Panama,1992,2484997,Americas,72.462,6618.74305 +Panama,1997,2734531,Americas,73.738,7113.692252 +Panama,2002,2990875,Americas,74.712,7356.031934 +Panama,2007,3242173,Americas,75.537,9809.185636 +Paraguay,1952,1555876,Americas,62.649,1952.308701 +Paraguay,1957,1770902,Americas,63.196,2046.154706 +Paraguay,1962,2009813,Americas,64.361,2148.027146 +Paraguay,1967,2287985,Americas,64.951,2299.376311 +Paraguay,1972,2614104,Americas,65.815,2523.337977 +Paraguay,1977,2984494,Americas,66.353,3248.373311 +Paraguay,1982,3366439,Americas,66.874,4258.503604 +Paraguay,1987,3886512,Americas,67.378,3998.875695 +Paraguay,1992,4483945,Americas,68.225,4196.411078 +Paraguay,1997,5154123,Americas,69.4,4247.400261 +Paraguay,2002,5884491,Americas,70.755,3783.674243 +Paraguay,2007,6667147,Americas,71.752,4172.838464 +Peru,1952,8025700,Americas,43.902,3758.523437 +Peru,1957,9146100,Americas,46.263,4245.256698 +Peru,1962,10516500,Americas,49.096,4957.037982 +Peru,1967,12132200,Americas,51.445,5788.09333 +Peru,1972,13954700,Americas,55.448,5937.827283 +Peru,1977,15990099,Americas,58.447,6281.290855 +Peru,1982,18125129,Americas,61.406,6434.501797 +Peru,1987,20195924,Americas,64.134,6360.943444 +Peru,1992,22430449,Americas,66.458,4446.380924 +Peru,1997,24748122,Americas,68.386,5838.347657 +Peru,2002,26769436,Americas,69.906,5909.020073 +Peru,2007,28674757,Americas,71.421,7408.905561 +Philippines,1952,22438691,Asia,47.752,1272.880995 +Philippines,1957,26072194,Asia,51.334,1547.944844 +Philippines,1962,30325264,Asia,54.757,1649.552153 +Philippines,1967,35356600,Asia,56.393,1814.12743 +Philippines,1972,40850141,Asia,58.065,1989.37407 +Philippines,1977,46850962,Asia,60.06,2373.204287 +Philippines,1982,53456774,Asia,62.082,2603.273765 +Philippines,1987,60017788,Asia,64.151,2189.634995 +Philippines,1992,67185766,Asia,66.458,2279.324017 +Philippines,1997,75012988,Asia,68.564,2536.534925 +Philippines,2002,82995088,Asia,70.303,2650.921068 +Philippines,2007,91077287,Asia,71.688,3190.481016 +Poland,1952,25730551,Europe,61.31,4029.329699 +Poland,1957,28235346,Europe,65.77,4734.253019 +Poland,1962,30329617,Europe,67.64,5338.752143 +Poland,1967,31785378,Europe,69.61,6557.152776 +Poland,1972,33039545,Europe,70.85,8006.506993 +Poland,1977,34621254,Europe,70.67,9508.141454 +Poland,1982,36227381,Europe,71.32,8451.531004 +Poland,1987,37740710,Europe,70.98,9082.351172 +Poland,1992,38370697,Europe,70.99,7738.881247 +Poland,1997,38654957,Europe,72.75,10159.58368 +Poland,2002,38625976,Europe,74.67,12002.23908 +Poland,2007,38518241,Europe,75.563,15389.92468 +Portugal,1952,8526050,Europe,59.82,3068.319867 +Portugal,1957,8817650,Europe,61.51,3774.571743 +Portugal,1962,9019800,Europe,64.39,4727.954889 +Portugal,1967,9103000,Europe,66.6,6361.517993 +Portugal,1972,8970450,Europe,69.26,9022.247417 +Portugal,1977,9662600,Europe,70.41,10172.48572 +Portugal,1982,9859650,Europe,72.77,11753.84291 +Portugal,1987,9915289,Europe,74.06,13039.30876 +Portugal,1992,9927680,Europe,74.86,16207.26663 +Portugal,1997,10156415,Europe,75.97,17641.03156 +Portugal,2002,10433867,Europe,77.29,19970.90787 +Portugal,2007,10642836,Europe,78.098,20509.64777 +Puerto Rico,1952,2227000,Americas,64.28,3081.959785 +Puerto Rico,1957,2260000,Americas,68.54,3907.156189 +Puerto Rico,1962,2448046,Americas,69.62,5108.34463 +Puerto Rico,1967,2648961,Americas,71.1,6929.277714 +Puerto Rico,1972,2847132,Americas,72.16,9123.041742 +Puerto Rico,1977,3080828,Americas,73.44,9770.524921 +Puerto Rico,1982,3279001,Americas,73.75,10330.98915 +Puerto Rico,1987,3444468,Americas,74.63,12281.34191 +Puerto Rico,1992,3585176,Americas,73.911,14641.58711 +Puerto Rico,1997,3759430,Americas,74.917,16999.4333 +Puerto Rico,2002,3859606,Americas,77.778,18855.60618 +Puerto Rico,2007,3942491,Americas,78.746,19328.70901 +Reunion,1952,257700,Africa,52.724,2718.885295 +Reunion,1957,308700,Africa,55.09,2769.451844 +Reunion,1962,358900,Africa,57.666,3173.72334 +Reunion,1967,414024,Africa,60.542,4021.175739 +Reunion,1972,461633,Africa,64.274,5047.658563 +Reunion,1977,492095,Africa,67.064,4319.804067 +Reunion,1982,517810,Africa,69.885,5267.219353 +Reunion,1987,562035,Africa,71.913,5303.377488 +Reunion,1992,622191,Africa,73.615,6101.255823 +Reunion,1997,684810,Africa,74.772,6071.941411 +Reunion,2002,743981,Africa,75.744,6316.1652 +Reunion,2007,798094,Africa,76.442,7670.122558 +Romania,1952,16630000,Europe,61.05,3144.613186 +Romania,1957,17829327,Europe,64.1,3943.370225 +Romania,1962,18680721,Europe,66.8,4734.997586 +Romania,1967,19284814,Europe,66.8,6470.866545 +Romania,1972,20662648,Europe,69.21,8011.414402 +Romania,1977,21658597,Europe,69.46,9356.39724 +Romania,1982,22356726,Europe,69.66,9605.314053 +Romania,1987,22686371,Europe,69.53,9696.273295 +Romania,1992,22797027,Europe,69.36,6598.409903 +Romania,1997,22562458,Europe,69.72,7346.547557 +Romania,2002,22404337,Europe,71.322,7885.360081 +Romania,2007,22276056,Europe,72.476,10808.47561 +Rwanda,1952,2534927,Africa,40,493.3238752 +Rwanda,1957,2822082,Africa,41.5,540.2893983 +Rwanda,1962,3051242,Africa,43,597.4730727 +Rwanda,1967,3451079,Africa,44.1,510.9637142 +Rwanda,1972,3992121,Africa,44.6,590.5806638 +Rwanda,1977,4657072,Africa,45,670.0806011 +Rwanda,1982,5507565,Africa,46.218,881.5706467 +Rwanda,1987,6349365,Africa,44.02,847.991217 +Rwanda,1992,7290203,Africa,23.599,737.0685949 +Rwanda,1997,7212583,Africa,36.087,589.9445051 +Rwanda,2002,7852401,Africa,43.413,785.6537648 +Rwanda,2007,8860588,Africa,46.242,863.0884639 +Sao Tome and Principe,1952,60011,Africa,46.471,879.5835855 +Sao Tome and Principe,1957,61325,Africa,48.945,860.7369026 +Sao Tome and Principe,1962,65345,Africa,51.893,1071.551119 +Sao Tome and Principe,1967,70787,Africa,54.425,1384.840593 +Sao Tome and Principe,1972,76595,Africa,56.48,1532.985254 +Sao Tome and Principe,1977,86796,Africa,58.55,1737.561657 +Sao Tome and Principe,1982,98593,Africa,60.351,1890.218117 +Sao Tome and Principe,1987,110812,Africa,61.728,1516.525457 +Sao Tome and Principe,1992,125911,Africa,62.742,1428.777814 +Sao Tome and Principe,1997,145608,Africa,63.306,1339.076036 +Sao Tome and Principe,2002,170372,Africa,64.337,1353.09239 +Sao Tome and Principe,2007,199579,Africa,65.528,1598.435089 +Saudi Arabia,1952,4005677,Asia,39.875,6459.554823 +Saudi Arabia,1957,4419650,Asia,42.868,8157.591248 +Saudi Arabia,1962,4943029,Asia,45.914,11626.41975 +Saudi Arabia,1967,5618198,Asia,49.901,16903.04886 +Saudi Arabia,1972,6472756,Asia,53.886,24837.42865 +Saudi Arabia,1977,8128505,Asia,58.69,34167.7626 +Saudi Arabia,1982,11254672,Asia,63.012,33693.17525 +Saudi Arabia,1987,14619745,Asia,66.295,21198.26136 +Saudi Arabia,1992,16945857,Asia,68.768,24841.61777 +Saudi Arabia,1997,21229759,Asia,70.533,20586.69019 +Saudi Arabia,2002,24501530,Asia,71.626,19014.54118 +Saudi Arabia,2007,27601038,Asia,72.777,21654.83194 +Senegal,1952,2755589,Africa,37.278,1450.356983 +Senegal,1957,3054547,Africa,39.329,1567.653006 +Senegal,1962,3430243,Africa,41.454,1654.988723 +Senegal,1967,3965841,Africa,43.563,1612.404632 +Senegal,1972,4588696,Africa,45.815,1597.712056 +Senegal,1977,5260855,Africa,48.879,1561.769116 +Senegal,1982,6147783,Africa,52.379,1518.479984 +Senegal,1987,7171347,Africa,55.769,1441.72072 +Senegal,1992,8307920,Africa,58.196,1367.899369 +Senegal,1997,9535314,Africa,60.187,1392.368347 +Senegal,2002,10870037,Africa,61.6,1519.635262 +Senegal,2007,12267493,Africa,63.062,1712.472136 +Serbia,1952,6860147,Europe,57.996,3581.459448 +Serbia,1957,7271135,Europe,61.685,4981.090891 +Serbia,1962,7616060,Europe,64.531,6289.629157 +Serbia,1967,7971222,Europe,66.914,7991.707066 +Serbia,1972,8313288,Europe,68.7,10522.06749 +Serbia,1977,8686367,Europe,70.3,12980.66956 +Serbia,1982,9032824,Europe,70.162,15181.0927 +Serbia,1987,9230783,Europe,71.218,15870.87851 +Serbia,1992,9826397,Europe,71.659,9325.068238 +Serbia,1997,10336594,Europe,72.232,7914.320304 +Serbia,2002,10111559,Europe,73.213,7236.075251 +Serbia,2007,10150265,Europe,74.002,9786.534714 +Sierra Leone,1952,2143249,Africa,30.331,879.7877358 +Sierra Leone,1957,2295678,Africa,31.57,1004.484437 +Sierra Leone,1962,2467895,Africa,32.767,1116.639877 +Sierra Leone,1967,2662190,Africa,34.113,1206.043465 +Sierra Leone,1972,2879013,Africa,35.4,1353.759762 +Sierra Leone,1977,3140897,Africa,36.788,1348.285159 +Sierra Leone,1982,3464522,Africa,38.445,1465.010784 +Sierra Leone,1987,3868905,Africa,40.006,1294.447788 +Sierra Leone,1992,4260884,Africa,38.333,1068.696278 +Sierra Leone,1997,4578212,Africa,39.897,574.6481576 +Sierra Leone,2002,5359092,Africa,41.012,699.489713 +Sierra Leone,2007,6144562,Africa,42.568,862.5407561 +Singapore,1952,1127000,Asia,60.396,2315.138227 +Singapore,1957,1445929,Asia,63.179,2843.104409 +Singapore,1962,1750200,Asia,65.798,3674.735572 +Singapore,1967,1977600,Asia,67.946,4977.41854 +Singapore,1972,2152400,Asia,69.521,8597.756202 +Singapore,1977,2325300,Asia,70.795,11210.08948 +Singapore,1982,2651869,Asia,71.76,15169.16112 +Singapore,1987,2794552,Asia,73.56,18861.53081 +Singapore,1992,3235865,Asia,75.788,24769.8912 +Singapore,1997,3802309,Asia,77.158,33519.4766 +Singapore,2002,4197776,Asia,78.77,36023.1054 +Singapore,2007,4553009,Asia,79.972,47143.17964 +Slovak Republic,1952,3558137,Europe,64.36,5074.659104 +Slovak Republic,1957,3844277,Europe,67.45,6093.26298 +Slovak Republic,1962,4237384,Europe,70.33,7481.107598 +Slovak Republic,1967,4442238,Europe,70.98,8412.902397 +Slovak Republic,1972,4593433,Europe,70.35,9674.167626 +Slovak Republic,1977,4827803,Europe,70.45,10922.66404 +Slovak Republic,1982,5048043,Europe,70.8,11348.54585 +Slovak Republic,1987,5199318,Europe,71.08,12037.26758 +Slovak Republic,1992,5302888,Europe,71.38,9498.467723 +Slovak Republic,1997,5383010,Europe,72.71,12126.23065 +Slovak Republic,2002,5410052,Europe,73.8,13638.77837 +Slovak Republic,2007,5447502,Europe,74.663,18678.31435 +Slovenia,1952,1489518,Europe,65.57,4215.041741 +Slovenia,1957,1533070,Europe,67.85,5862.276629 +Slovenia,1962,1582962,Europe,69.15,7402.303395 +Slovenia,1967,1646912,Europe,69.18,9405.489397 +Slovenia,1972,1694510,Europe,69.82,12383.4862 +Slovenia,1977,1746919,Europe,70.97,15277.03017 +Slovenia,1982,1861252,Europe,71.063,17866.72175 +Slovenia,1987,1945870,Europe,72.25,18678.53492 +Slovenia,1992,1999210,Europe,73.64,14214.71681 +Slovenia,1997,2011612,Europe,75.13,17161.10735 +Slovenia,2002,2011497,Europe,76.66,20660.01936 +Slovenia,2007,2009245,Europe,77.926,25768.25759 +Somalia,1952,2526994,Africa,32.978,1135.749842 +Somalia,1957,2780415,Africa,34.977,1258.147413 +Somalia,1962,3080153,Africa,36.981,1369.488336 +Somalia,1967,3428839,Africa,38.977,1284.73318 +Somalia,1972,3840161,Africa,40.973,1254.576127 +Somalia,1977,4353666,Africa,41.974,1450.992513 +Somalia,1982,5828892,Africa,42.955,1176.807031 +Somalia,1987,6921858,Africa,44.501,1093.244963 +Somalia,1992,6099799,Africa,39.658,926.9602964 +Somalia,1997,6633514,Africa,43.795,930.5964284 +Somalia,2002,7753310,Africa,45.936,882.0818218 +Somalia,2007,9118773,Africa,48.159,926.1410683 +South Africa,1952,14264935,Africa,45.009,4725.295531 +South Africa,1957,16151549,Africa,47.985,5487.104219 +South Africa,1962,18356657,Africa,49.951,5768.729717 +South Africa,1967,20997321,Africa,51.927,7114.477971 +South Africa,1972,23935810,Africa,53.696,7765.962636 +South Africa,1977,27129932,Africa,55.527,8028.651439 +South Africa,1982,31140029,Africa,58.161,8568.266228 +South Africa,1987,35933379,Africa,60.834,7825.823398 +South Africa,1992,39964159,Africa,61.888,7225.069258 +South Africa,1997,42835005,Africa,60.236,7479.188244 +South Africa,2002,44433622,Africa,53.365,7710.946444 +South Africa,2007,43997828,Africa,49.339,9269.657808 +Spain,1952,28549870,Europe,64.94,3834.034742 +Spain,1957,29841614,Europe,66.66,4564.80241 +Spain,1962,31158061,Europe,69.69,5693.843879 +Spain,1967,32850275,Europe,71.44,7993.512294 +Spain,1972,34513161,Europe,73.06,10638.75131 +Spain,1977,36439000,Europe,74.39,13236.92117 +Spain,1982,37983310,Europe,76.3,13926.16997 +Spain,1987,38880702,Europe,76.9,15764.98313 +Spain,1992,39549438,Europe,77.57,18603.06452 +Spain,1997,39855442,Europe,78.77,20445.29896 +Spain,2002,40152517,Europe,79.78,24835.47166 +Spain,2007,40448191,Europe,80.941,28821.0637 +Sri Lanka,1952,7982342,Asia,57.593,1083.53203 +Sri Lanka,1957,9128546,Asia,61.456,1072.546602 +Sri Lanka,1962,10421936,Asia,62.192,1074.47196 +Sri Lanka,1967,11737396,Asia,64.266,1135.514326 +Sri Lanka,1972,13016733,Asia,65.042,1213.39553 +Sri Lanka,1977,14116836,Asia,65.949,1348.775651 +Sri Lanka,1982,15410151,Asia,68.757,1648.079789 +Sri Lanka,1987,16495304,Asia,69.011,1876.766827 +Sri Lanka,1992,17587060,Asia,70.379,2153.739222 +Sri Lanka,1997,18698655,Asia,70.457,2664.477257 +Sri Lanka,2002,19576783,Asia,70.815,3015.378833 +Sri Lanka,2007,20378239,Asia,72.396,3970.095407 +Sudan,1952,8504667,Africa,38.635,1615.991129 +Sudan,1957,9753392,Africa,39.624,1770.337074 +Sudan,1962,11183227,Africa,40.87,1959.593767 +Sudan,1967,12716129,Africa,42.858,1687.997641 +Sudan,1972,14597019,Africa,45.083,1659.652775 +Sudan,1977,17104986,Africa,47.8,2202.988423 +Sudan,1982,20367053,Africa,50.338,1895.544073 +Sudan,1987,24725960,Africa,51.744,1507.819159 +Sudan,1992,28227588,Africa,53.556,1492.197043 +Sudan,1997,32160729,Africa,55.373,1632.210764 +Sudan,2002,37090298,Africa,56.369,1993.398314 +Sudan,2007,42292929,Africa,58.556,2602.394995 +Swaziland,1952,290243,Africa,41.407,1148.376626 +Swaziland,1957,326741,Africa,43.424,1244.708364 +Swaziland,1962,370006,Africa,44.992,1856.182125 +Swaziland,1967,420690,Africa,46.633,2613.101665 +Swaziland,1972,480105,Africa,49.552,3364.836625 +Swaziland,1977,551425,Africa,52.537,3781.410618 +Swaziland,1982,649901,Africa,55.561,3895.384018 +Swaziland,1987,779348,Africa,57.678,3984.839812 +Swaziland,1992,962344,Africa,58.474,3553.0224 +Swaziland,1997,1054486,Africa,54.289,3876.76846 +Swaziland,2002,1130269,Africa,43.869,4128.116943 +Swaziland,2007,1133066,Africa,39.613,4513.480643 +Sweden,1952,7124673,Europe,71.86,8527.844662 +Sweden,1957,7363802,Europe,72.49,9911.878226 +Sweden,1962,7561588,Europe,73.37,12329.44192 +Sweden,1967,7867931,Europe,74.16,15258.29697 +Sweden,1972,8122293,Europe,74.72,17832.02464 +Sweden,1977,8251648,Europe,75.44,18855.72521 +Sweden,1982,8325260,Europe,76.42,20667.38125 +Sweden,1987,8421403,Europe,77.19,23586.92927 +Sweden,1992,8718867,Europe,78.16,23880.01683 +Sweden,1997,8897619,Europe,79.39,25266.59499 +Sweden,2002,8954175,Europe,80.04,29341.63093 +Sweden,2007,9031088,Europe,80.884,33859.74835 +Switzerland,1952,4815000,Europe,69.62,14734.23275 +Switzerland,1957,5126000,Europe,70.56,17909.48973 +Switzerland,1962,5666000,Europe,71.32,20431.0927 +Switzerland,1967,6063000,Europe,72.77,22966.14432 +Switzerland,1972,6401400,Europe,73.78,27195.11304 +Switzerland,1977,6316424,Europe,75.39,26982.29052 +Switzerland,1982,6468126,Europe,76.21,28397.71512 +Switzerland,1987,6649942,Europe,77.41,30281.70459 +Switzerland,1992,6995447,Europe,78.03,31871.5303 +Switzerland,1997,7193761,Europe,79.37,32135.32301 +Switzerland,2002,7361757,Europe,80.62,34480.95771 +Switzerland,2007,7554661,Europe,81.701,37506.41907 +Syria,1952,3661549,Asia,45.883,1643.485354 +Syria,1957,4149908,Asia,48.284,2117.234893 +Syria,1962,4834621,Asia,50.305,2193.037133 +Syria,1967,5680812,Asia,53.655,1881.923632 +Syria,1972,6701172,Asia,57.296,2571.423014 +Syria,1977,7932503,Asia,61.195,3195.484582 +Syria,1982,9410494,Asia,64.59,3761.837715 +Syria,1987,11242847,Asia,66.974,3116.774285 +Syria,1992,13219062,Asia,69.249,3340.542768 +Syria,1997,15081016,Asia,71.527,4014.238972 +Syria,2002,17155814,Asia,73.053,4090.925331 +Syria,2007,19314747,Asia,74.143,4184.548089 +Taiwan,1952,8550362,Asia,58.5,1206.947913 +Taiwan,1957,10164215,Asia,62.4,1507.86129 +Taiwan,1962,11918938,Asia,65.2,1822.879028 +Taiwan,1967,13648692,Asia,67.5,2643.858681 +Taiwan,1972,15226039,Asia,69.39,4062.523897 +Taiwan,1977,16785196,Asia,70.59,5596.519826 +Taiwan,1982,18501390,Asia,72.16,7426.354774 +Taiwan,1987,19757799,Asia,73.4,11054.56175 +Taiwan,1992,20686918,Asia,74.26,15215.6579 +Taiwan,1997,21628605,Asia,75.25,20206.82098 +Taiwan,2002,22454239,Asia,76.99,23235.42329 +Taiwan,2007,23174294,Asia,78.4,28718.27684 +Tanzania,1952,8322925,Africa,41.215,716.6500721 +Tanzania,1957,9452826,Africa,42.974,698.5356073 +Tanzania,1962,10863958,Africa,44.246,722.0038073 +Tanzania,1967,12607312,Africa,45.757,848.2186575 +Tanzania,1972,14706593,Africa,47.62,915.9850592 +Tanzania,1977,17129565,Africa,49.919,962.4922932 +Tanzania,1982,19844382,Africa,50.608,874.2426069 +Tanzania,1987,23040630,Africa,51.535,831.8220794 +Tanzania,1992,26605473,Africa,50.44,825.682454 +Tanzania,1997,30686889,Africa,48.466,789.1862231 +Tanzania,2002,34593779,Africa,49.651,899.0742111 +Tanzania,2007,38139640,Africa,52.517,1107.482182 +Thailand,1952,21289402,Asia,50.848,757.7974177 +Thailand,1957,25041917,Asia,53.63,793.5774148 +Thailand,1962,29263397,Asia,56.061,1002.199172 +Thailand,1967,34024249,Asia,58.285,1295.46066 +Thailand,1972,39276153,Asia,60.405,1524.358936 +Thailand,1977,44148285,Asia,62.494,1961.224635 +Thailand,1982,48827160,Asia,64.597,2393.219781 +Thailand,1987,52910342,Asia,66.084,2982.653773 +Thailand,1992,56667095,Asia,67.298,4616.896545 +Thailand,1997,60216677,Asia,67.521,5852.625497 +Thailand,2002,62806748,Asia,68.564,5913.187529 +Thailand,2007,65068149,Asia,70.616,7458.396327 +Togo,1952,1219113,Africa,38.596,859.8086567 +Togo,1957,1357445,Africa,41.208,925.9083202 +Togo,1962,1528098,Africa,43.922,1067.53481 +Togo,1967,1735550,Africa,46.769,1477.59676 +Togo,1972,2056351,Africa,49.759,1649.660188 +Togo,1977,2308582,Africa,52.887,1532.776998 +Togo,1982,2644765,Africa,55.471,1344.577953 +Togo,1987,3154264,Africa,56.941,1202.201361 +Togo,1992,3747553,Africa,58.061,1034.298904 +Togo,1997,4320890,Africa,58.39,982.2869243 +Togo,2002,4977378,Africa,57.561,886.2205765 +Togo,2007,5701579,Africa,58.42,882.9699438 +Trinidad and Tobago,1952,662850,Americas,59.1,3023.271928 +Trinidad and Tobago,1957,764900,Americas,61.8,4100.3934 +Trinidad and Tobago,1962,887498,Americas,64.9,4997.523971 +Trinidad and Tobago,1967,960155,Americas,65.4,5621.368472 +Trinidad and Tobago,1972,975199,Americas,65.9,6619.551419 +Trinidad and Tobago,1977,1039009,Americas,68.3,7899.554209 +Trinidad and Tobago,1982,1116479,Americas,68.832,9119.528607 +Trinidad and Tobago,1987,1191336,Americas,69.582,7388.597823 +Trinidad and Tobago,1992,1183669,Americas,69.862,7370.990932 +Trinidad and Tobago,1997,1138101,Americas,69.465,8792.573126 +Trinidad and Tobago,2002,1101832,Americas,68.976,11460.60023 +Trinidad and Tobago,2007,1056608,Americas,69.819,18008.50924 +Tunisia,1952,3647735,Africa,44.6,1468.475631 +Tunisia,1957,3950849,Africa,47.1,1395.232468 +Tunisia,1962,4286552,Africa,49.579,1660.30321 +Tunisia,1967,4786986,Africa,52.053,1932.360167 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Kingdom,1987,56981620,Europe,75.007,21664.78767 +United Kingdom,1992,57866349,Europe,76.42,22705.09254 +United Kingdom,1997,58808266,Europe,77.218,26074.53136 +United Kingdom,2002,59912431,Europe,78.471,29478.99919 +United Kingdom,2007,60776238,Europe,79.425,33203.26128 +United States,1952,157553000,Americas,68.44,13990.48208 +United States,1957,171984000,Americas,69.49,14847.12712 +United States,1962,186538000,Americas,70.21,16173.14586 +United States,1967,198712000,Americas,70.76,19530.36557 +United States,1972,209896000,Americas,71.34,21806.03594 +United States,1977,220239000,Americas,73.38,24072.63213 +United States,1982,232187835,Americas,74.65,25009.55914 +United States,1987,242803533,Americas,75.02,29884.35041 +United States,1992,256894189,Americas,76.09,32003.93224 +United States,1997,272911760,Americas,76.81,35767.43303 +United States,2002,287675526,Americas,77.31,39097.09955 +United States,2007,301139947,Americas,78.242,42951.65309 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