Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lære Challenge: Tidying Data with tidyr | Data Cleaning and Wrangling Essentials
Data Cleaning and Wrangling in R
Sektion 1. Kapitel 10
single

single

bookChallenge: Tidying Data with tidyr

Stryg for at vise menuen

Opgave

Stryg for at begynde at kode

In this challenge, you will practice reshaping and tidying a dataset using tidyr functions. You will convert the dataset to long format with pivot_longer(), and then split a combined column into two separate columns using separate().

  • Use pivot_longer() to convert the score columns into a long format, creating a column named subject_year and a column named score.
  • Use separate() to split the subject_year column into two columns: subject and year.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 10
single

single

Spørg AI

expand

Spørg AI

ChatGPT

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

some-alt