finished assignment #2
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….geojson' so that it will move to the parent directory then into data.'
| if (i['properties']['pop_max'] > max_population): | ||
| max_population = i['properties']['pop_max'] | ||
| city = i['properties']['name'] | ||
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| return city, max_population |
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I image that something along these lines, but more robust will be part of your twitter work?
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Kind of, so far I am pulling all the tweets from the the Twitter API and parsing the JSON for a handful of attributes and then writing them to a .csv (one column per tweet). However, when I start pulling from the Twitter Stream, it might be beneficial to just save summary stats from the JSON instead of every individual tweet, since I am not interested in everything from the stream data.
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I pulled maybe 30 days of geoloacated data off the twitter stream. The approach I landed on was to use MongoDB (it has a good Python API) to store the data (the raw tweet). Then I analyzed the data in an iPython notebook using a combination of MongoDB database queries and raw Python. That might be a viable workflow that preserves the raw data?
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In line 20 of tests.py, I changed the file path to '../data/us_cities.geojson' so that it will move to the parent directory then into data.'