Week 13 - Data wrangling with tidyr

A large amount of time during data analysis is typically spend on cleaning data. In this lecture you will learn more about the concept of tidy data and how to organize it. You will learn how to join two or more datasets and how to get data from a wide into a long format.

Photo by [Alistair MacRobert](https://unsplash.com/photos/RazuRIEPdgg)

Figure 1: Photo by Alistair MacRobert

Learning Objectives

Part 2

  1. Learners can apply functions from the tidyr R Package to join multiple data sets
  2. Learners can apply functions from the dplyr R Package to transform their data from a wide to a long format and vice versa

Slides

title lecturer part slides
Data wrangling with tidyr L. Schöbitz Part 2 Access slides in browser
Data wrangling with tidyr L. Schöbitz Part 2 Access slides as PDF

Group work

All details for your group work are in the assignment for this week.

Homework

There is one assignment this week. All other listed items are resources for you as additional references for this weeks topic.

id title_link type category effort_estimate_min submission_format due_date
1 Week 13 - Data wrangling with tidyr assignment required 90 GitHub 2022-05-25

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY-SA 4.0. Source code is available at https://github.com/rbtl-fs22/website, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".