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Conducted an in-depth examination of 1995 US higher education using Python, where datasets were skillfully grouped to extract essential insights of the economic statistics at that time.

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Economic Analysis of 1995 US Higher Education

This repository encapsulates a comprehensive Data Narrative crafted during a course project, delving into the landscape of US higher education in 1995. The project adeptly harnessed Python, employing sophisticated techniques to group datasets and extract crucial insights about the economic statistics of US colleges during that time. The analysis showcased proficiency in data analysis, visualization, statistics, and domain knowledge, skillfully utilizing the powerful pandas and matplotlib libraries.

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Project Highlights

Data Analysis Process

  • In-depth analysis of 1995 US higher education through Python.
  • Proficient application of data analysis, visualization, statistics, and domain knowledge.
  • Strategic utilization of pandas, seaborn and matplotlib libraries to enhance the analytical process.

Course Context

The Data Narrative formed part of the ES-114: Probability, Statistics, and Data Visualization course offered to first-year B.Tech students in April '23 at the Indian Institute of Technology, Gandhinagar.

Links to two more data narratives under the same course:

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Conducted an in-depth examination of 1995 US higher education using Python, where datasets were skillfully grouped to extract essential insights of the economic statistics at that time.

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