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02-labormatch

Summary of Problem: Using data from the Bureau of Labor Statistics, LaborMatch built an interactive site to help policy makers, investors, and the public. The team calculated job demand in ten major industries for each state. The user can choose any state and the program returns the number of jobs in ten industries for that state. LaborMatch provides a useful visualization and interface that allows users to explore their data state by state. They started by pulling the data via API. As you can see, they wanted to get data from Linkedin and Dice as well. However, although several scripts were written to ingest from those sites, the team decided to stick with only BLS. After, they manipulated the data into JSON format. They built a lookup table from a state name and an industry name. For the collection of series, the team extracted year-long average values from the data for each month. This result was the input for their d3 visualization. They created an html file that incorporates this visualization. The website makes use of a linked map and bar plot.

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  • Python 52.4%
  • HTML 19.1%
  • Makefile 14.3%
  • Batchfile 14.2%