Resources
This carefully curated collection of resources will help you find packages and learning resources to help you on your R journey.
Tidy Data Vignette
Tidy data is a concept in data analysis that involves structuring datasets to facilitate analysis. The tidy data standard provides a standardized way to organize data values within a dataset. This resource is a vignette that explains the principles and importance of tidy data and provides examples in R using the tidyr package.
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Tidy Flowchart Generator
The Tidy Flowchart Generator, or the 'flowchart' package, is an R package designed for drawing participant flow diagrams directly from a dataframe, employing the tidyverse syntax. It offers a suite of functions that utilize the pipe operator to generate flowcharts conveniently and flexibly from dataframes. The package is accessible through CRAN and can be installed traditionally or via the development version on GitHub. The process of creating a flowchart with this tool is demonstrated through a GIF example on its homepage, showcasing its usefulness in drafting flow diagrams for clinical trials or similar studies.
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Tidy Tuesday live screencast: Analyzing global crop yields in R
A live screencast of a Tidy Tuesday session where global crop yields are analyzed using R.
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tidycensus
Load US Census Boundary and Attribute Data as tidyverse and sf-Ready Data Frames
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tidygeocoder
Tidygeocoder is an R package that makes getting data from geocoding services easy. It provides a unified high-level interface for a selection of supported geocoding services and returns results in tibble (dataframe) format.
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tidykids
State-by-State Spending on Kids Dataset from the Urban Institute in a Tidy Format
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tidylog
Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
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tidyr
The `tidyr` package in R is used to create tidy data, where every column is a variable, every row is an observation, and every cell is a single value. It provides functions for pivoting, rectangling, nesting, splitting and combining character columns. The package supersedes `reshape2` and `reshape` and is designed specifically for tidying data. It has an active community and a Contributor Code of Conduct.
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TidyTuesday: Racial disparities in reproductive research
This TidyTuesday project investigates racial and ethnic disparities in reproductive medicine in the United States, as presented in a narrative review from a January 2025 issue of the American Journal of Obstetrics and Gynecology. The dataset consists of studies from top peer-reviewed Ob/Gyn journals between 2010 and 2023, aiming to explore differences in racial group representations across study types and examine changes in representation over time. The project involves data cleaning, analysis, and visualization using R packages like tidytuesdayR, tidyverse, and ggplot2, with an intent to identify trends and recommend informed strategies for future research in obstetrics and gynecology.
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tilemaps
The tilemaps package implements an algorithm for generating tile maps, which represent regions with single tiles of the same shape and size. This package allows users to generate single or multiple tile maps and provides functions for visualizing and analyzing the maps.
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