Unreadable data can lead to bad perceptions and positive action being delayed. Some of the most obscure data comes from reporting from local, state and federal governments.
That said the data is there and it has be provided in a consistent (at some level) manner.
Here are some of the ways I made Police Call Records, Police Stop and Search Data, and Department of Education Data Understandable.
Outline
- How did we get here. George Floyd, Black Lives Matters, and a goal to help others.
- Introduction of Pandas and Dataframes
- Problems with Data (Inconsistent values over time)
- How I solved those problems (try/except statements)
- What that data looks like when readable
- Introduction to Eland
- Look at Dataset
- Problems with Data (vague with definition dictionaries)
- How I solved those problems (dictionary translation tables)
- Wad that data looks like when readable
- Links and Resources
My goal is to empower folks interested in visualizing civics data for their own personal or professional reasons. To also show them how to take that data and make it persistent so they don't have to feel as if they are repeating the process and can make easy adjustments as needed.