Resources

Create stylish tables in R using formattable

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}

This blog post by Nicola Rennie details how to create a typewriter-styled map of Scotland using the {ggplot2} package in R. The process involves gathering elevation data from a shapefile and using the {elevatr} package for accessing the elevation API. Selecting a suitable typewriter font with {sysfonts} and {showtext}, Rennie demonstrates how to represent different elevation levels with various letters in a monospace font. The final output replicates the appearance of a map created with a typewriter, reminiscent of RJ Andrews' handcrafted map of California using over 2,500 keystrokes.

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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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Data cleaning for data sharing | Crystal Lewis

Data cleaning for data sharing by Crystal Lewis in tutorials February 14, 2023.

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