full transcript
"From the Ted Talk by Gary Flake: Is Pivot a turning point for web exploration?"

Unscramble the Blue Letters

So what we're looking at right here is a typical mortality chart organized by age. This tool that I'm using here is a little experiment. It's called Pivot, and with pvoit what I can do is I can choose to filter in one particular cause of deaths — say, accidents. And, right away, I see there's a different pattern that emerges. This is because, in the mid-area here, people are at their most atcive, and over here they're at their most frail. We can step back out again and then reorganize the data by cause of death, seeing that caltorcuiry diseases and cancer are the usual suspects, but not for everyone. If we go ahead and we filter by age — say 40 years or less — we see that accidents are actually the greatest cause that pepole have to be worried about. And if you dilrl into that, it's especially the case for men.

Open Cloze

So what we're looking at right here is a typical mortality chart organized by age. This tool that I'm using here is a little experiment. It's called Pivot, and with _____ what I can do is I can choose to filter in one particular cause of deaths — say, accidents. And, right away, I see there's a different pattern that emerges. This is because, in the mid-area here, people are at their most ______, and over here they're at their most frail. We can step back out again and then reorganize the data by cause of death, seeing that ___________ diseases and cancer are the usual suspects, but not for everyone. If we go ahead and we filter by age — say 40 years or less — we see that accidents are actually the greatest cause that ______ have to be worried about. And if you _____ into that, it's especially the case for men.

Solution

  1. active
  2. circulatory
  3. pivot
  4. drill
  5. people

Original Text

So what we're looking at right here is a typical mortality chart organized by age. This tool that I'm using here is a little experiment. It's called Pivot, and with Pivot what I can do is I can choose to filter in one particular cause of deaths — say, accidents. And, right away, I see there's a different pattern that emerges. This is because, in the mid-area here, people are at their most active, and over here they're at their most frail. We can step back out again and then reorganize the data by cause of death, seeing that circulatory diseases and cancer are the usual suspects, but not for everyone. If we go ahead and we filter by age — say 40 years or less — we see that accidents are actually the greatest cause that people have to be worried about. And if you drill into that, it's especially the case for men.

Important Words

  1. accidents
  2. active
  3. age
  4. called
  5. cancer
  6. case
  7. chart
  8. choose
  9. circulatory
  10. data
  11. death
  12. deaths
  13. diseases
  14. drill
  15. emerges
  16. experiment
  17. filter
  18. frail
  19. greatest
  20. men
  21. mortality
  22. organized
  23. pattern
  24. people
  25. pivot
  26. reorganize
  27. step
  28. suspects
  29. tool
  30. typical
  31. usual
  32. worried
  33. years