full transcript
"From the Ted Talk by Ben Wellington: How we found the worst place to park in New York City -- using big data"

Unscramble the Blue Letters

Now, not every dataset is behind a FOIL Request. Here is a map I made with the most dugaenros intersections in New York City based on ciylsct aeiccndts. So the red areas are more dangerous. And what it shwos is first the East side of Manhattan, especially in the lower area of Manhattan, has more cyclist accidents. That might make sense because there are more cyclists coming off the bridges there. But there's other hotspots worth syiundtg. There's Williamsburg. There's Roosevelt Avenue in Queens. And this is exactly the kind of data we need for Vision Zero. This is exactly what we're looking for.

Open Cloze

Now, not every dataset is behind a FOIL Request. Here is a map I made with the most _________ intersections in New York City based on _______ _________. So the red areas are more dangerous. And what it _____ is first the East side of Manhattan, especially in the lower area of Manhattan, has more cyclist accidents. That might make sense because there are more cyclists coming off the bridges there. But there's other hotspots worth ________. There's Williamsburg. There's Roosevelt Avenue in Queens. And this is exactly the kind of data we need for Vision Zero. This is exactly what we're looking for.

Solution

  1. cyclist
  2. studying
  3. accidents
  4. dangerous
  5. shows

Original Text

Now, not every dataset is behind a FOIL Request. Here is a map I made with the most dangerous intersections in New York City based on cyclist accidents. So the red areas are more dangerous. And what it shows is first the East side of Manhattan, especially in the lower area of Manhattan, has more cyclist accidents. That might make sense because there are more cyclists coming off the bridges there. But there's other hotspots worth studying. There's Williamsburg. There's Roosevelt Avenue in Queens. And this is exactly the kind of data we need for Vision Zero. This is exactly what we're looking for.

ngrams of length 2

collocation frequency
open data 13
york city 12
data portal 4
rush hour 3
parking spot 3
john krauss 3
fire hydrants 3
east side 3
coney island 3
city agencies 3

ngrams of length 3

collocation frequency
open data portal 4

Important Words

  1. accidents
  2. area
  3. areas
  4. avenue
  5. based
  6. bridges
  7. city
  8. coming
  9. cyclist
  10. cyclists
  11. dangerous
  12. data
  13. dataset
  14. east
  15. foil
  16. hotspots
  17. intersections
  18. kind
  19. manhattan
  20. map
  21. queens
  22. red
  23. request
  24. roosevelt
  25. sense
  26. shows
  27. side
  28. studying
  29. vision
  30. williamsburg
  31. worth
  32. york