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Exploration, visualization and inferential statistics on student data. In particular, data on students who graduated between the 13-14 and 17-18 academic years with a major in mathematics from Union College.

Jupyter Notebook 93.72% Python 0.02% HTML 6.26%

union_students's Introduction

union_students

These notebooks contain my code and results for an ongoing consultation project with Union College. The data consist of letter grade by course matched with student information (i.e. class year) for mathematics majors who graduated between the 13-14 and 17-18 academic years. The aim is to automate data visualization and identify potentially interesting trends, with a particular interest in identifying insights that might suggest improvements to the student experience.

The project is divided into a series of Juypter notebooks:

  1. Project Overview
  2. Data Cleaning
  3. Descriptive Statistics
  4. Inferential Statistics
  5. Geographic Maps - Data Cleaning
    Geographic Maps - Display
  6. Additional Data - Non majors

They are best rendered by and linked above to instances in nbviewer

Additional files:

  • Constants used throughout project
  • Raw data is stored locally

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