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In this blog post, I explore who are the Twitter Blue subscribers. It is not celebrities, businesses or governments. It is our regular old Joe with fewer than a hundred followers.

The Epi R Handbook is a R reference manual for applied epidemiology and public health.

The places change, the numbers change, but the choice of weapon remains the same. In the United States, people who want to kill a lot of other people most often do it with guns.

With online dating apps, you’re able to filter out potential matches based on characteristics like age and height. The Economist charted who’s filtering out what. The chart took me a se…

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Storytelling with maps template. Contribute to mapbox/storytelling development by creating an account on GitHub.

All data science contests by Analytics Vidhya. The data hackathon platform by the world's largest data science community.

Learn how to use the Codex models on Azure OpenAI to handle a variety of coding tasks

And why they’re so useful in creating your own generative text, art and even music

There are many fun R packages that can bring some enjoyment to your coding experience. In this article, the following packages are…

Artificial sweeteners and other sugar substitutes sweeten foods without extra calories. But studies show the ingredients can affect gut and heart health.

GitHub Next Project: A VS Code extension for experimental applications of GitHub Copilot.

VS Code setup for R. GitHub Gist: instantly share code, notes, and snippets.

The Anti-Eviction Mapping Project is a data visualization, critical cartography, and digital storytelling collective documenting dispossession and resistance upon gentrifying landscapes.

GitHub Copilot is evolving to bring chat and voice interfaces, support pull requests, answer questions, and adopt OpenAI's GPT-4.

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

Dead simple way to run LLaMA on your computer

This R package provides an SDK to the Open AI API. Contribute to samterfa/openai development by creating an account on GitHub.

Peaks are spike-shaped patterns in time series data. Detecting them is often useful, since peaks can represent anomalies and sudden events. Peak detection can be put to good use in a data visualization where it can direct attention to areas of potential value. Example Let's look at data on the number of visitors to Wikipedia pages. The peaks in this data represent times when there was a sudden spike of interest in a particular page. Here are the daily pageviews of the Wikipedia page for

In April 2017 the government of Turkey blocked all access to Wikipedia. The block lasted almost three years until it was finally lifted on January 15th, 2020. During this time traffic to Turkish Wikipedia went down significantly, but not completely:

How does Harry Potter fan fiction compare to the real thing? Here's a picture of all relationships from the seven Harry Potter books. Each circle is a character, colored male or female, with lines indicating romantic pairings. Lines are colored by whether the relationship is straight, male-male, or female-female. Since only one relationship in the original series is gay, almost all of the lines above are the same color. Not so in fanfiction. Here's the same chart, this time with lines connecting characters who are romantically linked in fanfiction:

The chart below visualizes words disproportionately known in one country and not the other. The data comes from this table in a paper on Word prevalence norms for 62,000 English lemmas (via): In the dataset we selected, each word was judged on average by 388 participants (282 from the USA and 106 from the UK). The percentages of people indicating they knew the word ranged from 2% (for stotinka, adyta, kahikatea, gomuti, arseniuret, alsike, . . .) to 100% (. . . , you, young, yourself, zone, zoned). See also

The chart below visualizes words disproportionately known by one sex and not the other. The data comes from this table in a paper on Word prevalence norms for 62,000 English lemmas (via): In the dataset we selected, each word was judged on average by 388 participants (282 from the USA and 106 from the UK). The percentages of people indicating they knew the word ranged from 2% (for stotinka, adyta, kahikatea, gomuti, arseniuret, alsike, . . .) to 100% (. . . , you, young, yourself, zone, zoned). See also: Wo

Discover how to predict binary outcomes with probit regression in R. Learn to visualize the model with ggplot2 for better insights

The goal of r-universe is to provide a central place for browsing through the R ecosystem to discover what is out there, get a sense of the purpose and quality of individual packages, and help you get started in seconds.

Technical support and service announcements of rbind.io