Exploratory Data Analysis (EDA) : Speed Dating Experiment

This project (among others) has been submitted for my Jedha Data Fullstack program certification

Video Presentation

Checkout the 10min project presentation video (in French) here: https://share.vidyard.com/watch/SF14xc4T9CPpBDzAVz2Cbo?

Goal of the project

The goal of this project is to analyse a Speed Dating Experiment results and more particularly to try do identify the factors that help to get a second date.

Datasets

The dataset and features description provided for this project are available on Kaggle here and has been copied in the 'data' folder of this repository.

Getting started - Prerequisites

1. Clone this repository to create your project folder :

   git clone https://github.com/Acsts/EDA--Speed_Dating_Experiment.git

2. Installations :

   All the source code is written in Python3. The dependencies you need to run the code are listed in the 'requirements.txt' file, you can install them with pip by running

   pip install -r requirements.txt

Usage

The plotly figures are shown by default in png format in order to appear correctly on github. If you want to take advantage of the interactive features of plotly figures, comment/delete the line pio.renderers.default = "png" and re-run the notebook.