How do people spend their days? A data viz journey

In this talk, I shared a few ways to visualize activity data. These slides were presented as a lightning talk in R-Ladies Auckland, August 2020.

Recording of the session is available on Youtube: https://www.youtube.com/watch?v=WtZQ8DSGZ8k

Transcript

1. How do people spend their days? A data viz journey Elvyna Tunggawan R-Ladies Auckland, August 2020
2. Hello! • Master’s student at The University of Auckland • Undergraduate degree in Information Systems • Worked as a data scientist at a tech startup • Until 2020, I mostly used Python … ◦ Got more exposure to R recently
3. Activity data ⇒ wearable device Image source: Shutterstock
4. Time series data? Easy-peasy! What if there are more people?
5. Time series data? Easy-peasy! What if there are more people? What if the dates are different?
6. Time series data? Easy-peasy! What if there are more people? What if the dates are different? What should we do?
7. There must be a better way...
8. Not only step count! Image source: HealingExercise.org
9. Activity sequences per minute
10. Overall proportion of activity per person standing stepping
11. Activities as a composition + + = 24 hours
12. sitting/lying standing stepping
13. What have we learned?
14. Thanks! @vexenta linkedin.com/in/elvyna speakerdeck.com/elvyna Don’t forget to exercise!