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

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?