In Athanasiamo/tidyquintro: Quick Intro to Tidyverse

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knitr::opts_chunk$set(echo = TRUE, 
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# These are the defaults
xaringanExtra::use_extra_styles(
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library(knitr)
library(tidyquintro)

Introduction to tidyverse concepts (15 minutes)
Tidy data wrangling - with translations to base-R (~ 2 hours)
plotting data with ggplot2 (~25 min)
sub-setting data with dplyr (~25 min)
chaining commands with the pipe |> (~10 min)
adding and altering variables with dplyr (~25 min)
Lunch break (30 min)
Tidy data reshaping & summaries - avoiding loops (~ 1.5 hours)
pivoting data with tidyr (~25 min)
grouped summaries with dplyr (~25 min)
working with nested data using purrr (~25 min)

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The packages

.pull-left[

Covered here

|Package|Functions| |------|--------|
| dplyr | data manipulation - altering and adding variables in a dataset | | tidyr | data tidying - changing data shape and structure | | ggplot2 | data visualisation | | purrr | Enhancements on functional programming | ]

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The packages

.pull-left[

Covered here

|Package|Functions| |------|--------|
| dplyr | data manipulation - altering and adding variables in a dataset | | tidyr | data tidying - changing data shape and structure | | ggplot2 | data visualisation | | purrr | Enhancements on functional programming | ]

.pull-right[

Not covered

|Package|Functions| |------|--------|
| readr | easy and fast importing of data | | tibble | variations on the R data.frame | | forcats | working with factors/categorical data | | stringr | working with strings/characters | ]

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grammar of data manipulation

.pull-left[ provides a consistent set of verbs that help you solve the most common data manipulation challenges:

select() picks variables based on their names.
filter() picks cases based on their values.
mutate() - adds or alters variables that are functions of existing variables
summarise() reduces multiple values down to a single summary.
arrange() changes the ordering of the rows.
]

.pull-right[ Combined with functions like

group_by() - Group the data set by variables
nest_by() - Nest data by columns
across - Apply functions across multiple columns

Tidy-selectors like: - contains() - select by variables containing a string
- starts_with() - select by variables starting with a string
- ends_with() - select by variables ending with a string
]

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