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Course

Reshaping Data with tidyr

IntermediateSkill Level

4.8+

Updated 03/2023

Transform almost any dataset into a tidy format to make analysis easier.

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RData Manipulation4 hr15 videos54 Exercises4,650 XP20,644Statement of Accomplishment

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Course Description

Data in the wild can be scary—when confronted with a complicated and messy dataset you may find yourself wondering, where do I even start? The tidyr package allows you to wrangle such beasts into nice and tidy datasets. Inaccessible values stored in column names will be put into rows, JSON files will become data frames, and missing values will never go missing again. You'll practice these techniques on a wide range of messy datasets, learning along the way how many dogs the Soviet Union sent into space and what bird is most popular in New Zealand. With the tidyr package in your tidyverse toolkit, you'll be able to transform almost any dataset in a tidy format which will pay-off during the rest of your analysis.

Prerequisites

Data Manipulation with dplyr

1

Tidy Data

What is tidy data?

Tidy data structure

Multiple variables per column

Columns with multiple values

International phone numbers

Extracting observations from values

Separating into columns and rows

Missing values

And the Oscar for best director goes to ... <NA>

Imputing sales data

Nuclear bombs per continent

2

From Wide to Long and Back

From wide to long data

Nuclear bombs per country

WHO obesity per country

Bond... James Bond

Deriving variables from column headers

New-Zealand's bird of the year

Big tech stock prices

Deriving variables from complex column headers

Soviet space dogs, the dog perspective

WHO obesity vs. life expectancy

Uncounting observations

From long to wide data

Soviet space dogs, the flight perspective

Planet temperature & distance to the Sun

Transposing planet data

3

Expanding Data

Creating unique combinations of vectors

Letters of the genetic code

When did humans replace dogs in space?

Finding missing observations

Completing data with all value combinations

Completing the Solar System

Zero Olympic medals

Creating a sequence with full_seq()

The Cold War's hottest year

Advanced completions

Olympic medals per continent

Tracking a virus outbreak

Counting office occupants

4

Rectangling Data

Intro to non-rectangular data

Rectangular vs. non-rectangular files

Rectangling Star Wars movies

From nested values to observations

Unnesting wide or long

Rectangling Star Wars planets

The Solar System's biggest moons

Selecting nested variables

Hoisting Star Wars films

Hoisting movie ratings

Nesting data for modeling

Tidy model outputs with broom

Nesting tibbles

Modeling on nested data frames

Congratulations!

Reshaping Data with tidyr

Course
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