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US Officer Involved Shootings, Mapped
- e40 11y agoIf only the data underlying this visualization were complete.
- daveloyall 11y agoThe data is useless. My home city has had >0 OIS during the date range, but the data reports zero.
- dhammer 11y agowell, not useless. at least it exposes the complete lack of transparency. it's crazy that we have to cobble together stats from news reports, rather than official reports. that's the point. http://www.danham.me/r/2015/01/02/ois-api.html http://www.danham.me/r/2015/01/02/ois-api.html
- politician 11y agoClicking through randomly, it seems that the armed victims were less likely to be killed than the unarmed victims. I wonder if the underlying data refutes that observation.
- giarc 11y agoKilled Not Killed Armed________729______300 Not Armed_____211_____114 The Chi-square statistic is 4.0812. The P value is 0.043363. This result is significant at p < 0.05
- jrapdx3 11y agoYes, armed vs unarmed were different, question is in what direction. IOW were those armed more likely to be killed than the unarmed? For armed "shootees", killed/not-killed == 2.43, whereas unarmed == 1.85. Looking at it the other way, for those killed, ratio of armed/unarmed was 3.45, but only 2.63 for shooting survivors. Since the categorical data was shown to differ significantly, the difference ratios are also significant. We can conclude one is more likely to be shot dead if armed when confronted by police. Edit: grammar
- athenot 11y agoSuggestion: try semi-transparent bubbles for each data point. It will create a heat map which is faster to read and understand than summaries per region.
- bengali3 11y agoSee Framingham Massachusetts. Same victim listed 3 times.
- Koldark 11y agoI wonder what the data source(s) are?
- dhammer 11y agophiladelphia and dallas report official stats, other than that, we use the deadspin project http://www.danham.me/r/2015/01/02/ois-api.html http://www.danham.me/r/2015/01/02/ois-api.html