The Arizona Immigration Law and the Gulf Oil Spill have been among the biggest news stories this month. We’re tracking tweets on an ongoing basis for both stories.
We had a suggestion to map these Tweets by location (thanks to @hornOKplease!). Because the stories have a regional focus and national attention, it seemed like the perfect analysis. We took a sample of ~5,000 tweets for each story and used our handy location normalization feature to gather city, state, county and latitude longitude for the tweets. Take a look at these cool charts…
Tweets are mapped by latitude and longitude. Each point on the map represents at least 1 Tweet.Â The size of the bubble reflects the number of Tweets from each location from our sample.Â In Both Charts, the purple shaded background overlay provides population by county. The darker shading reflects higher populations.
We used RowFeeder Enterprise to capture the Twitter data in Excel. We had the location normalization feature turned on. The mapping is done by running the RowFeeder Excel output into Tableau. Just a couple clicks in Tableau and the maps are done!