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Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

R tutorials: Learn R programming for data science

Search for R tutorials by task, topic, or package. Many include videos which are shorter than 10 minutes

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Full-text search your own Mastodon posts with R

Some Twitter users migrating to Mastodon miss being able to run full-text searches of their own toots. Here's how to search your own posts using R and the rtoots package.

Do More With R [video hero/video series] - R Programming Guide - Tips & Tricks

12 ggplot extensions for snazzier R graphics

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages to explore on your own.

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

How to merge data in R using R merge, dplyr, or data.table

See how to join two data sets by one or more common columns using base R’s merge function, dplyr join functions, and the speedy data.table package.

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Learn Observable JavaScript with Observable notebooks

Free, hosted Observable notebooks provide an interactive experience and lots of free, open-source Observable JS code you can reuse and learn from. Here's how to get started.

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Data visualization with Observable JavaScript

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot.

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A beginner's guide to using Observable JavaScript, R, and Python with Quarto

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports.

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How to create Word docs from R or Python with Quarto

It’s easy to automate the creation of Word documents with Quarto, a free, open-source technical publishing system that works with R, Python, and other programming languages.

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What is Quarto? RStudio rolls out next-generation R Markdown

R Markdown isn’t going away. But the Quarto publishing platform is as friendly to Python, Julia, and Observable JavaScript as it is to R.

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RStudio changes name to Posit, expands focus to include Python and VS Code

RStudio is updating its name as it aims to expand use of its commercial products among data science teams using both Python and R.

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How to attend RStudio Conference 2022 remotely for free

Keynotes and presentations will be streamed live. Plus, there will be a Discord server for virtual attendees.

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shinytest2, Rhino R Shiny framework top news at Appsilon conference

An updated Shiny testing package and new Shiny framework were featured at this week's Shiny conference.

Do More With R [video hero/video series] - R Programming Guide - Tips & Tricks

Easier ggplot with ggcharts in R

Create R data visualizations easily with a few lines of simple code using the ggcharts R package. Plus, the resulting charts and graphs are customizable ggplot objects.

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How to make easier ggplot2 with ggcharts

Make ggplot2 graphs with a lot less code using the ggcharts package.

Do More With R [video hero/video series] - R Programming Guide - Tips & Tricks

How to create PowerPoint slides from R

Learn how to generate PowerPoint slides straight from an R Markdown document. Plus, create interactive HTML slides in R with the xaringan package.

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How to create PowerPoint slides right from R

Learn how to generate PowerPoint slide presentations right from R with R Markdown. Plus: Create interactive HTML slides with the xaringan package.

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

Astonishingly easy mapping in R with mapview

Create interactive maps of GIS data with tooltips, hover text, and legends in one short and simple line of code. Plus get extras like side-by-side sliders and multiple maps in sync.

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Astonishingly easy mapping with R and mapview

One short line of code give you a full-featured interactive choropleth map – complete with rollover text and popup data – thanks to the mapview package. See how simple it is to explore geospatial data in R. Data files available in...

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