Community Data Science Course (Spring 2019)/Day 8 notes

From CommunityData
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

Today we'll take a partial digression from python to talk about Pivot Tables in Excel.

Outline:

  • Load the SDOT data from last time
  • Creating basic pivot tables
  • Rows, columns, values, filters
  • Aggregation functions
  • Common tricks
    • Percentiles
    • Visualizations
    • Filters
    • Sorting
  • Stats! Let's talk about the Odds Ratio

Let's use what we learned to answer some questions

  • What kinds of accidents are more likely to occur at Intersections than in a Block?
  • Do accidents with speeding involved result in a higher chance of injury? (Hint: use an odds ratio)
  • Look at columns HITPARKEDCAR and COLLISIONS. What do you notice about HITPARKEDCAR
  • Is speeding more likely to result in injuries or death?
  • what is the most dangerous corner in Seattle?
  • What do JunctionType and AddrType tell you about this data set?