/Importing-cleaning-data-in-R-case-studies_Datacamp

Running exciting analyses on interesting datasets is the dream of every data scientist. But first, some importing and cleaning must be done. In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.

Importing-cleaning-data-in-R-case-studies_Datacamp

Importing & Cleaning Data in R: Case Studies

Course Description

Running exciting analyses on interesting datasets is the dream of every data scientist. But first, some importing and cleaning must be done. In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.

Chapter 1: Ticket Sales Data

Hone your skills by importing and cleaning some wonderfully messy online ticket sales data.

Chapter 2: MBTA Ridership Data

Boston's public transit system needs your help! The T wants to do some data analysis and you've been asked to clean their ridership data.

Chapter 3: World Food Facts

We all know that you are what you eat, so what exactly are you? In this chapter, you'll import and clean some data about food products from around the world.

Chapter 4: School Attendance Data

Use all of the tools you've learned to import and clean a gnarly dataset containing information on average school attendance in the US.