Roy Wang has completed
Importing & Cleaning Data in R: Case Studies
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3,500 XP
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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.
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more- 1
Ticket Sales Data
FreeHone your skills by importing and cleaning some wonderfully messy online ticket sales data.
- 2
MBTA Ridership Data
FreeBoston'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.
- 3
World Food Facts
FreeWe 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.
- 4
School Attendance Data
FreeUse all of the tools you've learned to import and clean a gnarly dataset containing information on average school attendance in the US.
Collaborators
Nick Carchedi
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Product Manager at DataCamp
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