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## Statistical Thinking in Python (Part 1)

Run the hidden code cell below to import the data used in this course.

### Take Notes

Add notes about the concepts you've learned and code cells with code you want to keep.

*Add your notes here*

`# Add your code snippets here`

### Explore Datasets

Use the DataFrames imported in the first cell to explore the data and practice your skills!

- Pick five states from
`all_states`

and create a bee swarm plot of the votes in those states. Each point should represent the share of the vote Obama got in a single country (`dem_share`

), segmented by state. - Compute the variance and standard variance of
`dem_share`

for each state in`swing_states`

. - Take 10,000 samples out of the normal distribution with the mean and standard deviation of the Belmont winners' times and plot it. This will require you to clean the
`Time`

column to be numeric. - Check the normality of the Michelson measurements, specifically velocity of light in air, by plotting the theoretical and empirical CDFs on the same plot.