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Community Data Science Course (Spring 2019)/Day 8 notes
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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 [https://en.wikipedia.org/wiki/Odds_ratio 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?
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