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From food to gadgets to sports, explore how the business empire of one of the world’s richest men touches the everyday lives of millions in India.

📜 Discover and install useful RStudio addins . Contribute to daattali/addinslist development by creating an account on GitHub.

This learning journey will teach you how to create innovative solutions for complex problems with Machine Learning on Azure in 4 short weeks. With just an hour each day - think coffee-fueled morning ritual or mid-afternoon break - you’ll be able to collaborate and build models faster with the ...

'ggplot2' Based Publication Ready Plots. Contribute to kassambara/ggpubr development by creating an account on GitHub.

Packages used for this chapter: arules (Hahsler et al. 2021), arulesViz (Hahsler 2021b), mlbench (Leisch and Dimitriadou. 2021), tidyverse (Wickham 2021c) You can read the free sample chapter from...

Interactive data tables for R, based on the React Table JavaScript library. Provides an HTML widget that can be used in R Markdown or Quarto documents, Shiny applications, or viewed from an R console.

New psychology findings suggest that attractive students earn higher grades in school, but for female students, this beauty premium disappears when classes are taught remotely. The findings were published in the journal Economic Letters. ...

Weekly bite-sized tips on DataViz, Shiny and Stats/Machine Learning.

Useful function from unheadr for data cleaning

(Cross posted from my blog) Sharing notebooks is harder than it should be. You are working on a notebook (in Jupyter, RStudio, Visual Studio Code, whatever), and want to share it quickly with someone. Maybe you want some feedback, or you’re demonstrating a technique, or there is a cool result you want to quickly show someone. A million reasons to want to quickly share a notebook, but unfortunately there isn’t a quick enough and easy enough solution right now. That’s why I built notebookshari...

Daylight Saving Time may have given us more time to enjoy late-time summer activities, but it can have a negative impact on our health.

This notebook is a starting point for processing tweets from your twitter archive which you can download here. We use a local file input so your data doesn't get uploaded anywhere and stays private. Inspired by Benjamin Schmidt's Working with Twitter exports. Choose your file Select `tweets.js` in the data folder of the unzipped archive to see it visualized below. (This file does not get uploaded anywhere, see source code.) You have tweeted times since Here is a table of all your tweets and the available

Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.

58 votes and 18 comments so far on Reddit

In this talk, Hadley Wickham introduces you to the basics of functional programming in R, using the purrr package.

We don’t all start our work days at the same time, despite what morning rush hour might have you think.

We spend a lot of time working. It seems worth thinking about how we feel during all those hours.

Weekly bite-sized tips on DataViz, Shiny and Stats/Machine Learning.

Code and plots for submissions to the #tidytuesday challenge - tidytuesday/2021/2021-week8 at master · gkaramanis/tidytuesday

Statistically-relevant data, but not actually exploitable.

For coders without an internet connection, an offline dataset provides an essential encyclopedia

Blending {ggplot2} geoms with {ggfx} and other {magick} tricks.

This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis.