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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.

Texas-based RealPage’s YieldStar software helps landlords set prices for apartments across the U.S. With rents soaring, critics are concerned that the company’s proprietary algorithm is hurting competition.

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

A Logistic Regression project: From a list of points along a flight's path, how can you say this looks like a surveillance plane? And once you've found them, what do you do with the results?

An unusual lottery result made the news recently: on October 1, 2022, the PCSO Grand Lotto in the Philippines, which draws six numbers from $latex {1}&fg=000000$ to $latex {55}&fg=000000$ a…

The Good Country Index is an effort to highlight and rank the countries that are doing good for the rest of the world. Select the metrics that are pertinent to you, and the ranks adjust accordingly…

South Asia’s monsoon is inextricably linked, culturally and economically, to much of Asia. Climate change is making it increasingly violent and erratic.

With its own coastal waters depleted, China has built a global fishing operation unmatched by any other country.

Forecasting and Regression Analysis using textual data. - GitHub - lucasgodeiro/TextForecast: Forecasting and Regression Analysis using textual data.

A case study with reveal.js slides

Visualising the Base Rate Fallacy

Can you predict whether people got H1N1 and seasonal flu vaccines using information they shared about their backgrounds, opinions, and health behaviors?

A scikit-learn compatible neural network library that wraps PyTorch - skorch-dev/skorch: A scikit-learn compatible neural network library that wraps PyTorch

Plus, the next phase of the Elon Musk / Twitter acquisition!

Get millions of financial and economic datasets from hundreds of publishers directly into R.