TwitterDots presentation at LinkedIn.

1. TwitterDots
Rio Akasaka
data visualization meetup
13 April 2011
Friday, October 5, 2012

2. A dot
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3. Friday, October 5, 2012

4. Friday, October 5, 2012

5. Friday, October 5, 2012

6. Friday, October 5, 2012

7. Data visualization
is storytelling
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8. Friday, October 5, 2012

9. HOW MIGHT WE
Collect
many individual stories
and let the stories
speak for themselves?
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10. Implementation
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11. Twitter + Map
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12. Friday, October 5, 2012

13. Twitter Streaming API
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14. Twitter Streaming API
+ (Live and real-time)
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15. Twitter Streaming API
+ (Live and real-time)
+ Geocoding
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16. Twitter Streaming API
+ (Live and real-time)
+ Geocoding
+ Google Maps
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17. Geocoding
• Yahoo! 5,000 requests/IP per day
• Google 2,500 requests/day
• 0.23% of tweets are geocoded (Sysomos)
• 15% (SocMedia)
Friday, October 5, 2012

18. Geocoding
• Yahoo! 5,000 requests/IP per day
• Google 2,500 requests/day
• 0.23% of tweets are geocoded (Sysomos)
• 15% (SocMedia)
Twitter does not provide geocoded data
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19. Geocoding
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20. #valentine
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21. Results
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22. Results
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23. Results
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24. Results
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25. Twitter
Tweets containing #earthquake
from 4:27pm PST 3/9/2011
to 8:01pm PST 3/11/2011
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26. Twitter
1,881,119 total tweets
1,162,303 tweets with locations (61%)
991,668 successfully geocoded (85%/52%)
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27. Twitter
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28. Twitter
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29. Demo!
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30. Foraging
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31. Limitations
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32. Limitations
• Hardware
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33. Limitations
• Hardware
• Geocoding
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34. Limitations
• Hardware
• Geocoding
• Ideas!
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35. Twitter
http://bit.ly/twitterearthquake
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36. Thank you!
This would not have been possible without support from
Jeff Heer, Sep Kamvar, Geoff McGhee, Eli Marschner, Michelle Greer
http://bit.ly/akasaka
@rioakasaka
twitterdots.com
twitterdots.posterous.com
Friday, October 5, 2012