Editing Community Data Science Workshops (Spring 2016)/Day 2 Projects/Twitter
From CommunityData
The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 24: | Line 24: | ||
===Download the Twitter API project=== | ===Download the Twitter API project=== | ||
* Right click the following file, click "Save Target as..." or "Save link as...", and save it to your Desktop directory: | * Right click the following file, click "Save Target as..." or "Save link as...", and save it to your Desktop directory: http://mako.cc/teaching/2015/cdsw-autumn/twitter-api-cdsw.zip | ||
* The ".zip" extension on the above file indicates that it is a compressed Zip archive. We need to "extract" its contents. To do this on Windows, click on "Start", then "Computer". If you are a Mac, open Finder and navigate to your Desktop directory. Find <code>twitter-api-cdsw.zip</code> on your Desktop and double-click on it to "unzip" it. That will create a folder called <code>twitter-api-cdsw</code> containing several files. | * The ".zip" extension on the above file indicates that it is a compressed Zip archive. We need to "extract" its contents. To do this on Windows, click on "Start", then "Computer". If you are a Mac, open Finder and navigate to your Desktop directory. Find <code>twitter-api-cdsw.zip</code> on your Desktop and double-click on it to "unzip" it. That will create a folder called <code>twitter-api-cdsw</code> containing several files. | ||
Line 68: | Line 68: | ||
</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 | ||
Line 93: | Line 93: | ||
# 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''' | ||
Line 106: | Line 99: | ||
# 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!!!!== |