Nathan Yau did a fascinating segmentation of an entire year to illustrate some insightful trends. Inspired by Nathan's work, I wondered if there were more or different patterns of risk that might repeat themselves over a longer period, so I downloaded five years of it to get a big enough set to look at what time of the day or night is especially prone to fatal traffic incidents from a day-of-the-week perspective and also from a time-of-year perspective.
Finally, I did some basic segmentation mapping to get a rough geographic sense of where rates of different sorts of accidents were more or less likely to occur (take these with a grain of salt).
Structure abounds in traffic fatality data.
Incidentally, every one of these charts is a simple Excel pivot table -including the so called maps. More on fake mapping here. Click on the image to get a readable version.
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This is just great.
ReplyDeleteis it possible that you share the excel file with us? I just can`t seem to download the data, so it is impossible for me to recreate your output...
ReplyDeleteHopoe you can help me out...
Yes, here is the file I used to create the pivots. You will see some added fields to get simple yes/no statuses of various factors. Also you'll see the lat long rounding columns I created for the map hack. All the pivots are there in various sheets.
Deletefile:
http://dl.dropbox.com/u/17180596/TimeOfDayPivots.xlsx
sourced from aggregated "Accident" files per year here:
ftp://ftp.nhtsa.dot.gov/fars/
Caveat on the alcohol element:
2006 and 2007 considered anybody involved in the fatal crash for the "Drunk_Dr" flag, not just the driver. 2008, 2009, and 2010 consider only the driver. BAC of 0.01 or more is considered in the data. All conditions of alcohol involvement were considered for these graphics.
I also couldn't download the data from NHTSA
ReplyDeletesee above
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