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Common repository of projects for Playfair
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NY Prison Population: Part II #156

Closed snajmabadi closed 8 years ago

snajmabadi commented 8 years ago

Datasets:

I intend to expand on my project from two weeks ago about NY's prison inmate population, particularly focusing on if there is a difference between the most serious crime men are in prison for versus women. I'll also take a look at which counties indict the most prisoners in comparison to where most jails and prisons are located (represented on a map, probably). Finally, I'd like to take more of a look at change over time (or the last 8 years at least) and see if there have been any marked changes in that time regarding how many men/women are in prison, which counties indict the most, and the most serious charge most of those men/women are in for. I may combine this last idea with the data in the second dataset, which contains records of jail population by county since 1977.

Possible headlines could include:

"x county indicts the most prisoners; y county houses the most" "most men in New York prisons are there for x; women for y"

Pitch issue checklist

playfairbot commented 8 years ago

Hi there, I'm the Playfair Bot! Would you mind posting the appropriate checklist in the main body of your issue? You might have posted it as the first comment, but it turns out it works way better in the actual body of the issue. Thanks! :pray:

kbennion commented 8 years ago

This dataset is so interesting! I really liked looking at your previous visualizations, especially the one divided by gender. For your jail/imprisoned population comparison, have you considered doing two y-axes? One as overall jail numbers, the other as a percentage of the whole. Then you can include both lines on the same graph.

example: image

snajmabadi commented 8 years ago

IGNORE THE TEXT (work in progress, so I'm just using filler text from my previous projects):

week5-01 week5_2-01 week5-3-01

mercye commented 8 years ago

it would be interesting to see the scatter plot point, scaled according to population -- so that it was easier to understand why a county might be sending 100 people to prison or no people to prison

playfairbot commented 8 years ago

Closing since pull request #229 has been accepted