Reshaping Data with tidyr

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

It can be overwhelming to deal with complex and confusing data sets. To organize this data, tidyr can be used to make it neater. The rows will contain the accessible values from column names. JSON files will convert to data frames. The missing values will not be lost again. These techniques can be used to analyze a wide range of data sets. This will reveal how many dogs were sent into space by the Soviet Union, and which bird is most popular in New Zealand. Any dataset can be transformed using the tidyr package in your tidyverse toolkit. This will allow you to easily complete the rest of your analysis in clean formats.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with dplyr

What You Will Learn

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

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

Course Content

Expand all sections

Module 1: Tidy data

Module 2: From wide to long and back

Module 3: Expanding data

Module 4: Rectangling data

Course Instructors

Jeroen Boeye

Machine Learning Engineer @ Faktion

Jeroen is a machine learning engineer working at Faktion, an AI company from Belgium. He uses both R and Python for his analyses and has a PhD background in computational biology. His experience most...