Programming in R and RStudio

Cleaning and Wrangling Data

It is essential to have good tools to wrangle data to fit our needs. Cleaning data a necessary step before your analysis.
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Creating Functions in R

Take your coding skills to the next level by incorporating your own functions in your analysis.
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Creating R Packages

Package your work and share it! Creating your own package allows you to organize your code and data in a way that easily be shared and reused.

Introducing Flexdashboards

As an alternative to Shiny, Flexdashboards are great for creating lightweight interactive dashboards that require less code-heavy expertise.
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Introduction to Data Visualization

Data visualization is a great tool to explore and communicate your data. Learn the basics of ggplot2 and other data vis packages.
Image credit: Art by Allison Horst

Introduction to Programming in R using RStudio

New to R? This lesson walks through the basic concepts of the R programming language.
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Introduction to Shiny

Shiny apps provide interactive features for letting others share and explore data and analyses.
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Literate Analysis with Quarto

Combine prose and code in one document! Literate analysis is a fundamental tool for making your work reproducible.
Image credit: Art by Allison Horst

Publishing to the Web using GitHub Pages

Tools like Quarto, RMarkdown, and GitHub allow you to share your work with others on a beautiful and easy-to-read web page.

Reproducible Data Access

Accessing data is the first step in any analysis. Doing this in a portable manner is the ultimate goal to make your work as reproducible as possible.
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Using `sf` for Spatial Data

Handling spatial data can be tricky. The sf package allows for integrating R spatial software with the tidyverse if desired.
Image credit: Art by Allison Horst

Working with U.S Census Data in R

Introducing the tidycensus package. This packages helps you streamline your workflow when working with census data.
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Working with text data in R

Apply data wrangling and data visualization methods to text, making text mining easier, more effective, and consistent.
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