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Importing & Cleaning Data in R: Case Studies

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4 hours
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.
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  1. 1

    Ticket Sales Data

    Free

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

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    Importing the data
    100 xp
    Examining the data
    100 xp
    Summarizing the data
    100 xp
    Removing redundant info
    100 xp
    Information not worth keeping
    100 xp
    Separating columns
    100 xp
    Dealing with warnings
    100 xp
    Identifying dates
    100 xp
    More warnings!
    100 xp
    Combining columns
    100 xp
  2. 3

    World Food Facts

    Free

    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.

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  3. 4

    School Attendance Data

    Free

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

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For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

Datasets

SalesMBTAFoodAttendance

Collaborators

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Tom Jeon
Collaborator's avatar
Jim Looney
Nick Carchedi HeadshotNick Carchedi

Product Manager at DataCamp

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