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Community Data Science Course (Spring 2023)/Week 4 coding challenges
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== #3 Mapping! == This set of questions will all require the [https://nominatim.openstreetmap.org/ui/search.html the Nominatim API]. As always, [https://nominatim.org/release-docs/develop/api/Search/ API documentation is online]. My strong advice is to look at the code in the [https://github.com/kayleachampion/spr23_CDSW/blob/main/curriculum/week4/week4_lecture_part_2_nominatim.ipynb week 4 lecture part 2 Jupyter notebook] and to closely watch [https://uw.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=001c2a6d-71ea-478d-9ce6-afe801795f2c the video I recorded after class]. # Are there more gas stations in Duvall or Carnation? # Are there more dentists near the University or near Downtown? (you will need to look at the limit on the number of returned items) # Use the geocoding API endpoint in Nominatim to look up a specific latitude and longitude of your choice (try this building or your hometown). # Write a program to find all the ziplines in King County, Washington (or at least all the ones that OSM knows about!). # It's important to be alert and well-caffeinated when ziplining! Once you've found a nearby zipline, have your program use that result to find the nearest cafe each of the ziplines you identify! # Craft a query using the search API to find colleges in Seattle. (Hint: you'll want to set bounded=1 and use the <code>viewbox</code>). Print the name and location of every college you find. ## Modify your query so that you include the address details separated out (this is an API option you can find in the documentation)? ## How can you tell that a place returned by the API is in fact a college? ## Print the list of colleges into a new TSV file with the following columns: <code>osm_id</code> (a unique ID that OSM uses), the name of the college, latitude, and longitude.
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