Data topics to be featured:
Data Science and Analysis,
Social Listening / Monitoring
Data sets of public interest are increasingly available for download. Roughly 22 police departments across the country have so far started posting Crime data for public usage.
Mapping is such a powerful visualization tool that it frequently brings out insight that would be hard to access otherwise. This example uses Crime Report data from Austin Texas, but the same approach applied to your business data - Sales, Revenue, Addressable Market, etc. - can enable valuable understanding. Two types of maps are shown - all data in one map and faceted, the two reporting years separate. These map arrangements compare two points in time...other categories and more time periods can be depicted; area included in the maps can be zoomed in or scaled outward to include relevant geographic areas.
This data is a sampling of the Austin Crime Reports...as with so many data sets, clean up is necessary Only ~8% of entries in the raw data have geo coordinates. Other important factors must usually be accomodated; for example, from 2008 to 2015 (years whose stats are available), Austin had substantial population growth. Further analysis with this data set might call for some processing such as converting instances to crimes per 100,000 residents (cluster in the center of map is most population-dense sector). Another caveat is that the classification method for sexual assaults changed during this period, making 2008 stats not totally comparable to 2015.
Using R, I have categorized a sampling of the crime reports; and filtered to one crime type - Drugs. Next post, I'll be exploring a method to generate a dashboard that allows crime type to be selected and (hopefully) allows map to scale at the push of a button.
I'm generating this visualization using R. Another great tool for generating map visualizations (or a wide range of other useful visualizations) is Tableau. Tableau is easy to use but medium expensive; on the other hand, R is free but does require some investment of time to build capability.
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