Community Data Science Course (Spring 2015)/Day 6 Coding Challenges

Potential exercises
Who are my followers?

1) Use sample 2 to get your followers.

2) For each of your followers, get *their* followers (investigate time.sleep to throttle your computation)

3) Identify the follower you have that also follows the most of your followers.

4) How many handles follow you but none of your followers?

5) Repeat this for people you follow, rather than that follow you.

Topics and Trends

1) Use sample 3 to produce a list of 1000 tweets about a topic.

2) Look at those tweets. How does twitter interpret a two word query like "data science"

3) Eliminate retweets [hint: look at the tweet object!]

4) For each tweet original tweet, list the number of times you see it retweeted.

5) Get a list of the URLs that are associated with your topic.

Geolocation

1) Alter the streaming algorithm to include a "locations" filter. You need to use the order sw_lng, sw_lat, ne_lng, ne_lat for the four coordinates.

2) What are people tweeting about in Times Square today?

2.5) 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?

3) 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?


 * 1) you can use d = api.search(geocode='37.781157,-122.398720,1mi')  to do
 * 2) static geo search.