Introductory mapping exercise

[josh-chamberlain]

Context

Related to Police-Data-Accessibility-Project/data-projects#17

We have prior analysis done in this repository: mj-decriminalization/analysis/grief to action/Final_Marijuana_Visualization.ipynb

This issue is about doing some basic mapping and getting familiar with the tools in the process. We will mostly be stealing and modifying code from similar projects / chatgpt, so python knowledge is not critical.

Tasks

Research

• check out the source data for arrests and citations
• read about Bokeh and Python or mapping using python notebooks in general

Getting started / environment setup

• download pycharm, an "IDE" / code editor geared toward python projects
• install github desktop and clone this repository
• open the above file in pycharm, and "run" it to verify that the analysis is generated as it looks in the web version linked above. note that it references a file in github with merged arrests and citations.
• make a new branch in github called mj-mapping, so that your changes are contained to that branch
• check off these tasks and leave a comment checking in when this is complete, or comment if you have issues along the way!

Mapping data

• grab the new fall 2024 template file once adding fall 2024 template #29 is merged
• in your copy of the file, delete everything after the line containing mj_data_df = pd.read_csv(url, low_memory = False)
• see if you can modify the file using research about bokeh and these chat gpt suggestions to make literally any kind of map appear with data from the spreadsheet
  • I'm anticipating you will get stuck here, and we can figure out what's next.
  • use X and Y columns for location, and record_type for arrests vs citations
• next steps TBD; likely will involve comparing police zones, or overlaying arrests and citations in a heatmap across pittsburgh with zone or neighborhood overlays

[mjjacobs13]

The file is giving me error messages in PyCharm, but the visualizations are showing.

[mjjacobs13]

Everything else is complete!