Empowering Data Project Starter Code

This is a place for you to start building your Empowering Data Project!

About

• GWC SPP 2023 Data Science Course
• Involves data collection and analyzation of women around the world regarding their living conditions, education, and family size
• Uses scatterplots to compare and analyze data about women from two different countries

Instructions

Project Requirements

Your project should:

• Include a Setting for the story
• Include the Context of the story
• Include Characters
• Include a visual graph
• Include a research question which can help solve the problem the people in your story face

Extensions

You can extend your project further by:

• Extension #1: Plot multiple data sets in the same scatterplot. Guidance here.
  • Create subsets of data
  • Repeat scatter method calls before plt.show()
• Extension #2: Color data by numerical value of third column
  • Include colors= parameter in scatter call
• Extension #3: Color data marker by category
  • Make a list of tuples with data point and color
• Loop over the list to plot point individually with scatter()

Attributions

*If you used any code, stories, or poems from another person or group of people, tell us about it here. Make sure it is in the public domain, has a license that allows you to use it, or is one of your own.

• Add here if applicable

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File Overview

← README.md

README.md file give you more documentation and information about a program. They are super helpful for describing what a program should do, any issues you've encountered, changes you want to make, and more.

← main.py

This is where you will write your main program.

← GWCutilities.py

A collection of utility functions for formatting output to the console in this project

← livwell135.csv

A subset of 135 columns from the LivWell dataset which contians data on the well-being of women in 52 countries.

https://www.kaggle.com/datasets/konradb/wellbeing-of-women-in-52-countries

← livwell175.csv

A subset of 175 columns from the LivWell dataset which contians data on the well-being of women in 52 countries. This data set has infromation in it which may be upsetting or difficult to understand for some people. There is a description of what additional information is in this file in Part 3 Step 1