About

Data, Maps, and Charts

This project uses data obtained from the US Census Bureau. I used Kyle Walker’s library Tidycensus for R to access data directly from the census. Then, I passed the data into Python, where I used Pandas to filter, explore, and process it. All of the scripts I wrote to collect, wrangle, and visualize data for this project are available on my GitHub.

Once data wrangling was (mostly) complete, I used a library called Bokeh to create maps and charts. Bokeh has tight integration with Pandas, and comes with built-in features for interactivity. This was a great help in two ways. Firstly, I could quickly make simple plots for my own use in exploring and understanding the data. Secondly, it allowed me to make more refined and interactive plots for presentation here.

This website was created using Blogger.

The Author

My name is Taylor. I am a Masters Accounting student from the bay area of California. I graduated from UC Santa Cruz's Environmental Studies Program after completing a senior capstone project through the Center for Integrated Spatial Research. Data analysis and visualization are among my hobbies. Find me on Linkedin.