course-r-advanced-data-transformation#04-data-wrangling-with-data-table#05-group-by-aggregate

course-r-advanced-data-transformation#04-data-wrangling-with-data-table#05-group-by-aggregate#recipe

Group-By-Aggregate

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Group Using the by Parameter

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Exercise: Group Using the by Parameter

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Group Using the keyby Parameter

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Exercise: Group Using the keyby Parameter

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Special Symbol .SD

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Exercise: Special Symbol .SD

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Use .SD in Combination with lapply()

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Exercise: Use .SD in Combination with lapply()

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Special Symbol .I

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Exercise: Special Symbol .I

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Special Symbol .N

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Exercise: Special Symbol .N

Transform large and complex data sets using base R and popular package ecosystems like tidyverse and data.table. See how these packages compare in terms of speed and usability. Master dplyr verbs quickly and build data processing pipelines for modelling and plotting. Unleash the power of data.table with lightning fast merges and queries.

Data Transformation Intro

course-r-advanced-data-transformation#01-introduction

course-r-advanced-data-transformation#01-introduction#01-introduction

course-r-advanced-data-transformation#01-introduction#01-introduction#recipe

The 3 Doors of Data Transformation

course-r-advanced-data-transformation#01-introduction#01-introduction#section-introduction

Introduction

course-r-advanced-data-transformation#01-introduction#01-introduction#section-the-base-r-package-ecosystem

The base R Package Ecosystem

course-r-advanced-data-transformation#01-introduction#01-introduction#section-the-tidyverse-package-ecosystem

The tidyverse Package Ecosystem

course-r-advanced-data-transformation#01-introduction#01-introduction#section-the-data.table-package-ecosystem

The data.table Package Ecosystem

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Pros and Cons

course-r-advanced-data-transformation#01-introduction#01-introduction#quiz-1

Quiz: Which Package Ecosystem to Choose with Storage Backends?

course-r-advanced-data-transformation#01-introduction#01-introduction#quiz-2

Quiz: Which Package Ecosystem to Choose for Stability?

course-r-advanced-data-transformation#01-introduction#01-introduction#quiz-3

Quiz: Which Package Ecosystem to Choose for Large Data Sets?

Discover use cases which require data transformation and the main tools available through base-R, tidyverse and data.table.

Data Transformation with base-R

course-r-advanced-data-transformation#02-data-wrangling-with-base-r

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#01-inspecting-data-structures

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#01-inspecting-data-structures#recipe

Inspecting Data Structures

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Interactive Inspection with View()

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Quiz: Interactive Inspection with View()

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Exercise: Interactive Inspection with View()

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Examining Data Structures with str()

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Quiz: Examining Data Structures with str()

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Quiz: Interpret the Output of str()

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#02-filter-data-using-subset

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#02-filter-data-using-subset#recipe

Filter Data Using Subset

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Extract Vectors by Indices

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Exercise: Subset Vectors by Indices

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Apply Logical Vectors for Subsetting

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Exercise: Apply Logical Vectors for Subsetting

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Select Multiple Dimensions by Indices

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#02-filter-data-using-subset#exercise-02-02-03

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Select Multiple Dimensions with Logical Vectors

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Exercise: Subset the Titanic Survival Data Frame

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Apply the subset() Function on Data Frames

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Exercise: Apply the subset() Function

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The Apply Function Family

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The lapply() Function

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Exercise: Search Data Frame Columns with lapply()

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Use sapply() with Vectors

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Use sapply() with Data Frames

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Exercise: Search Data Frame Columns with sapply()

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#04-split-apply-combine

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The Split-Apply-Combine Strategy

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Split Data by Factors

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Exercise: Use split() on a Data Frame

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Use lapply() on Split Data

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Exercise: Use lapply() on Split Data

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The unsplit() Function

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Exercise: Split–Apply–Combine

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#05-group-aggregate

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#05-group-aggregate#recipe

Calculate Aggregates by Groups

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Group / Summarize

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Exercise: Aggregate Using Vectors

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Exercise: Aggregate Using Formulas

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#05-group-aggregate#section-the-table-function

The table() Function

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Exercise: Create a table()

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course-r-advanced-data-transformation#02-data-wrangling-with-base-r#06-bind-data-sets-together#recipe

Bind Data Sets Together

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#06-bind-data-sets-together#section-introduction

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#06-bind-data-sets-together#section-bind-rows-together

Bind rows together

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Exercise: Bind rows together

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#06-bind-data-sets-together#section-bind-columns-together

Bind columns together

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#06-bind-data-sets-together#exercise-02-06-02

Exercise: Bind columns together

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#07-join-bind-union

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#07-join-bind-union#recipe

Join Data Sets

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#07-join-bind-union#section-introduction

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#07-join-bind-union#section-inner-join

Inner Join

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Exercise: Inner Join

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#07-join-bind-union#section-outer-join

Outer Join

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#07-join-bind-union#exercise-02-06-02

Exercise: Left Outer Join

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Full (Outer) Join

course-r-advanced-data-transformation#02-data-wrangling-with-base-r#07-join-bind-union#exercise-02-06-03

Exercise: Full Join

Learn data wrangling functions available in base-R to filter, split and aggregate data.

Tidy Data Transformation Level 2

course-r-advanced-data-transformation#03-tidy-data-transformation

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate#recipe

Group and Aggregate

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate#section-the-summarise-function

The summarise() Function

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Exercise: The summarise() Function

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate#section-calculate-multiple-statistics-with-summarise

Calculate Multiple Statistics with summarise()

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Exercise: Calculate Multiple Statistics with summarise()

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate#section-the-mutate-function

The mutate() Function

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate#exercise-03-01-03

Exercise: The mutate() Function

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate#section-use-group_by-with-a-single-variable

Use group_by() with a Single Variable

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Exercise: Use group_by() with a Single Variable

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate#section-use-group_by-with-multiple-variables

Use group_by() with Multiple Variables

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Exercise: Use group_by() with Multiple Variables

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate#section-the-ungroup-function

The ungroup() Function

course-r-advanced-data-transformation#03-tidy-data-transformation#01-group-aggregate#exercise-03-01-06

Exercise: The ungroup() Function

course-r-advanced-data-transformation#03-tidy-data-transformation#02-reshape-pivot-data

course-r-advanced-data-transformation#03-tidy-data-transformation#02-reshape-pivot-data#recipe

Reshape and Pivot Data

course-r-advanced-data-transformation#03-tidy-data-transformation#02-reshape-pivot-data#section-the-pivot_longer-function

The pivot_longer() Function

course-r-advanced-data-transformation#03-tidy-data-transformation#02-reshape-pivot-data#exercise-03-02-02

Exercise: Tidy Table Using pivot_longer()

course-r-advanced-data-transformation#03-tidy-data-transformation#02-reshape-pivot-data#exercise-03-02-03

Exercise: Tidy Another Table Using pivot_longer()

course-r-advanced-data-transformation#03-tidy-data-transformation#02-reshape-pivot-data#section-name-transformations-with-pivot_longer

Name Transformations with pivot_longer()

course-r-advanced-data-transformation#03-tidy-data-transformation#02-reshape-pivot-data#section-the-pivot_wider-function

The pivot_wider() Function

Learn to use the basic dplyr verbs to filter rows, select columns and sort/arrange datasets in combination with  the pipe <code>%>%</code> operator. Tidy your data with more complex transformations and apply various join operators.

Filter Rows

Selecting Columns

Calculate and Update Values

Group-By-Aggregate

Joining data tables

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