The medical marijuana analysis is looking nice, but there are a few ways in which it could be improved before we move on.
Requirements
[x] Create a new file for these operations. Give it a specific name, like Pittsburgh, PA Marijuana Decriminalization analysis 2017–2023 and make sure it's in the analysis folder
keep the old file for now; maps are still in progress. The old one can be deleted later.
[x] Remove all visualizations, except:
the final 5
51: total arrests and citations by zone 2023
84 and 95: total arrests and citations by race and year
[x] remove the final pie chart (nearly the same as the previous one)
[x] for the remaining pie chart, slightly tweak the labels for specificity: Multiple offense arrestSingle offense arrestCitation
[x] for the same chart, change the title for specificity: Proportion of marijuana-related offenses 2017–2023
[x] for the double line plot, a specific title would be: Marijuana Arrests and Citations by Year
[x] remove data frames and transformations which were only generated to make those visualizations which were removed
[x] optional: is there a way to remove or truncate the table previews every time a dataframe is made? They take up a lot of space. 3 lines would be sufficient; many of them don't need to be there at all. If this isn't easy to do, don't worry about it!
[x] nice: make the colors shades of red, instead of blue (bright, tomato red for the biggest areas or bars; lighter or darker shades for the other bars)
[ ] Copy the mapping cells and requirements to the file added in the above PR ("Pittsburgh, PA Marijuana Decrim...")
[ ] remove the old MJ Graphs and MJ Maps files, as well as the fall 2024 analysis template
[ ] Adjust the file tree so it looks like this:
mj-decriminalization/
README.md
analysis/
Pittsburgh, PA Marijuana Decrim...ipynb
arrest_data_wprdc.csv
citation_data_wprdc.csv
police_zones.geojson
requirements.txt
archive/
everything else
[ ] be sure the notebook still runs and renders correctly
[ ] Add any files in analysis/ to the index in the README; we need to explain where they came from. The source for all of them is WPRDC.
the description of the most recent python notebook: "Completed analysis related to the question, in response to questions and feedback from Pittsburgh's Alliance for Police Accountability coalition."
Context
Part of https://github.com/Police-Data-Accessibility-Project/data-projects/issues/17
The medical marijuana analysis is looking nice, but there are a few ways in which it could be improved before we move on.
Requirements
Pittsburgh, PA Marijuana Decriminalization analysis 2017–2023
and make sure it's in theanalysis
folder51
: total arrests and citations by zone 202384
and95
: total arrests and citations by race and yearMultiple offense arrest
Single offense arrest
Citation
Proportion of marijuana-related offenses 2017–2023
Marijuana Arrests and Citations by Year
PR for the above: https://github.com/Police-Data-Accessibility-Project/caasi-help-desk/pull/46
Reorganizing
analysis/
to the index in the README; we need to explain where they came from. The source for all of them is WPRDC.