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Michael Jarmola has completed

Data Analysis in R, the data.table Way

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4 hr
2,900 XP
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Course Description

The R data.table package is rapidly making its name as the number one choice for handling large datasets in R. This online data.table tutorial will bring you from data.table novice to expert in no time. Once you are introduced to the general form of a data.table query, you will learn the techniques to subset your data.table, how to update by reference and how you can use data.table’s set()-family in your workflow. The course finishes with more complex concepts such as indexing, keys and fast ordered joins. Upon completion of the course, you will be able to use data.table in R for a more efficient manipulation and analysis process. Enjoy!
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  1. 1

    Data.table novice

    Free

    Introduction on what exactly a data.table is, how it differs from the traditional data.frame in R, and understanding the general form of a data.table query.

    Play Chapter Now
    Section 1 - Introduction
    50 xp
    Create and subset a data.table
    100 xp
    Getting to know a data.table
    100 xp
    Section 2 - Selecting columns in j
    50 xp
    A data.table of a vector?
    50 xp
    A non-existing column
    50 xp
    Subsetting data.tables
    100 xp
    Section 3 - Doing j by group
    50 xp
    The by basics
    100 xp
    Using .N and by
    100 xp
    Return multiple numbers in j
    100 xp
  2. 2

    Data.table yeoman

    Learn how to do multiple operations on the same data.table in one single statement, how to easily take a subset of your data, update by reference, and work with the data.table set()-family.

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    Section 4 - Chaining
    50 xp
    Chaining, the basics
    100 xp
    Chaining your iris dataset
    100 xp
    Section 5 - Subset of Data
    50 xp
    Programming time vs readability
    100 xp
    Introducing .SDcols
    100 xp
    Mixing it together: lapply, .SD, .SDcols and .N
    100 xp
    Section 6 - Using := in j
    50 xp
    Adding, updating and removing columns
    100 xp
    To assign or not to assign, that is the question
    50 xp
    Deleting a column for a subset of rows
    50 xp
    The functional form
    100 xp
    Section 7 - Using set()
    50 xp
    Ready, set(), go!
    100 xp
    The set() family
    100 xp
  3. 3

    Data.table expert

    Discover the potential behind indexing, followed by generating and using keys. The final part focuses on fast ordered joins.

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    Section 8 - Indexing
    50 xp
    Selecting rows the data.table way
    100 xp
    Removing columns and adapting your column names
    100 xp
    Understanding automatic indexing
    100 xp
    Section 9 - Keys
    50 xp
    Check to see if you understood the KEY takeaways
    50 xp
    Selecting groups or parts of groups
    100 xp
    Section 10 - Rolling joins
    50 xp
    Rolling joins - part one
    100 xp
    Rolling joins - part two
    100 xp
    Rolling joins - final part
    50 xp
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prerequisites

Introduction to RIntermediate R
Matt Dowle HeadshotMatt Dowle

Author of data.table

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