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18F / crime-data-explorer

Moved to https://github.com/fbi-cde
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Advance preview concept #335

Closed LarryBafundo closed 6 years ago

LarryBafundo commented 6 years ago

Building off the concepts we tested in sprint 1 (https://waffle.io/18F/crime-data-explorer/cards/5a0ccae32eedf0003196c86d) how might we refine and evolve the preview concept?

Specific areas to explore:

1) What geographical context can we provide that helps frame the contents of a dataset? Specifically, how might notions like population covered and or population density be represented in a map? Why are these concepts valuable to show? 2) What unit of analysis is appropriate to show in these maps? Counties or MSAs? How might these geographical areas affect what terms we use and how we define them? Are they equally effective at conveying meaning to our users? 3) Can we leverage concepts from Census, like their definition of urban vs rural, in the CDE? 4) How do we account for the 20% of agencies that aren't associated with a specific county or population center like tribal agencies, universities, or state police? Do they need to be represented in some other way? 5) How might alternative ways of packaging bulk data (smaller more discrete tables that require more joins) influence the type of context we present about the data? If we head in this direction how do we provide users, particularly those that are unfamiliar with the UCR program, with resources that soften the learning curve of working across NIBRS data elements?

LarryBafundo commented 6 years ago

@AvivaOskow let's update this issue with the latest thinking/assets for the preview concept at the end of the sprint.

LarryBafundo commented 6 years ago

@AvivaOskow closing this out; let's create a new ticket for the next round of iterations for this and other concepts we'll explore in S3