Resources

Create Sankey and Alluvial Diagrams Using ggplot2 • ggsankeyfier

The ggsankeyfier package enhances ggplot2 by allowing the creation of Sankey and Alluvial diagrams, which are types of data visualization that depict the flow of quantities through stages or categories. It provides specialized functions to handle the complex layout of these diagrams, including the ability to model skipped stages or feedback loops. The package defines its own terms for consistency and offers a thesaurus for commonly used Sankey terminology. It can be installed from CRAN or GitHub and is integrated into the ggplot2 workflow, requiring structured data for plotting.

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Create spatial square/hexagon grids and count points inside in R with sf | Urban Data Palette

Create spatial square/hexagon grids and count points inside in R with sf

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Create stylish tables in R using formattable

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Create, scan, and correct exams with R | by Edgar J. Treischl | Medium

This blog introduces the R exams package and shows how to create, scan, and correct student exams using R. It demonstrates how R scans exam images, extracts answers from single or multiple choice questions, and corrects them automatically. It also highlights the next steps and how they are implemented in R, as well as how to create your own exam questions. The package helps automate the entire process of generating, scanning, and assessing exams.

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Creating a cracked egg plot using {ggplot2} in R | Nicola Rennie

Creating a cracked egg plot using {ggplot2} in R

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Creating a data pipeline with Github Actions & the {googledrive} package for the Canadian Premier League soccer data initiative!

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Creating interactive visualizations with {ggiraph} (with or without Shiny)

Albert Rapp's blog post explains how to create interactive visualizations using the {ggiraph} package with or without Shiny in the R programming environment. It guides readers through the process of turning a ggplot into an interactive plot where users can focus on details that interest them. The tutorial includes data preparation with 'dplyr' and 'ggplot2', and demonstrates how to add interactivity to both lines and points in a chart. The post covers the use of 'geom_point_interactive', 'geom_line_interactive', and 'girafe()' function for rendering, and customization options for hover effects and plot sizing.

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Creating post summary with AI from Hugging Face

Dr. Mowinckel discusses the use of Hugging Face's AI to automate the creation of SEO-friendly summaries for blog posts, which is both time-efficient and enhances discoverability. The tutorial encompasses acquiring the Hugging Face API key, structuring requests, and handling responses with the R package httr2. It also highlights the importance of concise summaries for both SEO and repository metadata, and details the workflow from content preparation to writing summaries to a file. Hugging Face’s community efforts and accessible APIs are commended for their ease of use and functionalities.

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Creating template files with R

Nicola Rennie's blog post teaches readers how to save time when dealing with repetitive tasks by creating template files with R. The post explains fine-tuning R scripts for tasks like #TidyTuesday, where similar sections are involved each week. Instead of copying and pasting scripts and GitHub README files weekly and updating parts manually, Rennie introduces a method for generating template files and folders based on a date argument. This process includes creating organized directories and template files, replete with content placeholders, which can then be customized for the specific week's work.

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Creating template files with R | Nicola Rennie

Learn how to create template files in R to automate repetitive tasks.

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Creating typewriter-styled maps in {ggplot2} | Nicola Rennie

Creating typewriter-styled maps in ggplot2. This blog post explains the process of gathering elevation data, selecting a suitable typewriter font, and coding up a map.

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Data Cleaning Flipbook

A flipbook with examples of data cleaning using R and the tidyverse package

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