Importing and Cleaning Data

Principiante

Updated 06/2024

Apply your importing and data cleaning skills to real-world soccer data.

Crea Tu Cuenta Gratuita

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.

Project Description

Your boss at Crunching Numbers needs you to determine which match and stadium had the highest attendance during the 2019 FIFA Women's World Cup. Use your data import and cleaning skills to dig through the dirty data, clean it up, and present your boss with polished graphs.

These data come from the online 2019 FIFA Women's World Cup match reports.

Project Tasks

1
Importing data part 1

2
Importing data part 2
3
Removing rows of NA
4
Replacing NA
5
separate() and replace_na()
6
Plotting for outliers
7
What to do with the outlier?
8
A pretty boxplot
9
A pretty line plot
10
Wrap up

Technologies

Topics

Data Manipulation

Prerrequisitos

Introduction to Importing Data in R Introduction to the Tidyverse Cleaning Data in R

Erin LaBrecque

Instructor at DataCamp

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