Editing Community Data Science Workshops (Spring 2016)/Day 2 Projects/Twitter
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Latest revision | Your text | ||
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</div> | </div> | ||
This will change you into the right directory. | This will change you into the right directory. <code>ls</code> | ||
will show you the source code files in that directory. One of the files is "<code>twitter1.py</code>", which has a "<code>.py</code>" extension indicating that it is a Python script. Type: | |||
python twitter1.py | python twitter1.py | ||
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# For each tweet original tweet, list the number of times you see it retweeted. | # For each tweet original tweet, list the number of times you see it retweeted. | ||
# Get a list of the URLs that are associated with your topic. | # Get a list of the URLs that are associated with your topic. | ||
'''Geolocation''' | '''Geolocation''' | ||
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# What are people tweeting about in Times Square today? (Bonus points: set up a bounding box around TS and around NYC as a whole.) | # What are people tweeting about in Times Square today? (Bonus points: set up a bounding box around TS and around NYC as a whole.) | ||
# Can you find words that are more likely to appear in TS? | # Can you find words that are more likely to appear in TS? | ||
# | # UW is playing Arizona in football today. Set up a bounding box around the Arizona stadium and around UW. Can you identify tweets about football? Who tweets more about the game? (you can use <code>d = api.search(geocode='37.781157,-122.398720,1mi')</code> to do a static geo search.) | ||
== Congratulations!!!!== | == Congratulations!!!!== |