This is a place for you to start building your Empowering Data!
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
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()
*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
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.
This is where you will write your main program.
A collection of utility functions for formatting output to the console in this project
A subset of nine columns from the Glassdoor dataset which contians data on 1000 men and women and their respective base pays, job titles, age, performance evaluations, education, departments, seniority, and bonuses.
https://www.kaggle.com/datasets/nilimajauhari/glassdoor-analyze-gender-pay-gap