Welcome to the RTI Center for Data Science front-end developer exercise! This exercise is here to get you acquainted with a small sample of what we do and for us to get acquainted with your skills. It should take no more than two hours of your time.
This exercise provides a CSV file with some data derived from the 1996 US Census. You will have to use that data to present several charts.
- Fork this repository to your personal GitHub account and clone the fork to your computer.
- Save and commit your answers to your fork of the repository, and push them back to your personal GitHub account.
- Use the Internet as a resource to help you complete your work. We do it all the time.
- Comment your code so that when you look back at it in a year, you'll remember what you were doing.
- Use the tools you are comfortable with.
- Have fun and don't overthink it!
- Read the section below about the data.
- Make a visualization that shows the percentage of people who make above and below $50K for each education group. An example of how this could look:
- Make the same visualization for race instead of education group.
- As a bonus, if you have time, combine the two on one chart.
- When done, commit your work to your clone of this repository. Add any instructions we need to build your work. Email us a link to your clone.
This repository contains a file called census.csv.
It contains a dataset that has 48842 US Census records with the following fields:
age: a continuous variable representing an individual's ageeducation_level: the highest level of education an individual receivedrace: an individual's racesex: an individual's sexover_50k: a boolean variable representing whether the individual makes over $50,000/year. A value of 1 means that the person makes greater than $50,000/year and a value of 0 means that the person makes less than or equal to $50,000/year.over_50k_text: Same asover_50k, but using "True" and "False".count: the number 1. This may be useful in calculations.