# Community Data Science Course (Spring 2017)/Day 5 Notes: Difference between revisions

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** Filters | ** Filters | ||

** Sorting | ** Sorting | ||

* Stats! Let's talk about the [https://en.wikipedia.org/wiki/Odds_ratio | * 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 | Let's use what we learned to answer some questions |

## Latest revision as of 00:28, 3 May 2017

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?