We met with APA 3/1 to discuss which presentation or analysis would be most helpful for them.
Visualizations to make
We can use one notebook as a template and have each student/group submit one for each visualization.
viz 1 (assignee)
viz 2 (assignee)
etc
Requirements
[ ] add the datasets to this repository, with their sources and the date they were collected—currently linked to a personal github repo
Notes from 3/1 meeting
Things we could try:
overlay with shotspotter data or poverty data or demographic maps from the census to show who is criminalized
overlay with neighborhood map, or otherwise compare neighborhoods
look at how often marijuana arr/cit are alone as opposed to with a suite of other offenses
look at traffic stops which reference marijuana or arrests/citations referencing a traffic stop
compare the demographics of arrests & citations in each zone or neighborhood
get intersectional with gender, poverty, etc
find extremes: if you have these two traits in neighborhood x you're 10x more likely to be criminalized for weed than someone with these two traits in neighborhood y
Stretch:
compare with other cities (do other cities arrest data have badge numbers or other useful ways to ID patterns?)
We met with APA 3/1 to discuss which presentation or analysis would be most helpful for them.
Visualizations to make
We can use one notebook as a template and have each student/group submit one for each visualization.
Requirements
Notes from 3/1 meeting
Things we could try:
overlay with shotspotter data or poverty data or demographic maps from the census to show who is criminalized
overlay with neighborhood map, or otherwise compare neighborhoods
look at how often marijuana arr/cit are alone as opposed to with a suite of other offenses
look at traffic stops which reference marijuana or arrests/citations referencing a traffic stop
compare the demographics of arrests & citations in each zone or neighborhood
get intersectional with gender, poverty, etc
find extremes: if you have
these two traits
inneighborhood x
you're 10x more likely to be criminalized for weed than someone withthese two traits
inneighborhood y
Stretch: