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Jupyter Cookbook
book

Jupyter Cookbook

by Toomey, Nikhil Borkar, Nikhil Akki, Juan Tomás Oliva Ramos
April 2018
Beginner content levelBeginner
238 pages
7h 13m
English
Packt Publishing
Content preview from Jupyter Cookbook

How to do it...

We can use this script:

# we are using the haireyecolor data from the MASS librarylibrary(MASS)summary(HairEyeColor)

Excellent p-value, so we should have good data to work with!

# display the dataHairEyeColor

I hadn't thought about sex being a determinant. We will combine all of the data into one set:

# build a table of the informationcounts <- table(HairEyeColor)# produce the bar chartbarplot(counts)

That produces this result:

Interesting, that there are many cases with high coincidence (the 34s, 50s, and 64s) and there are ...

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Publisher Resources

ISBN: 9781788839440Supplemental Content