mkearney / data-scribersLinks
{data scribers} is a collection of posts about data science. And unlike other content aggregating sites, this one encourages people to visit the blog's actual site.
☆9Updated 6 years ago
Alternatives and similar repositories for data-scribers
Users that are interested in data-scribers are comparing it to the libraries listed below
Sorting:
- Quick tidytext examination of Mueller vs. Watergate reports☆16Updated 6 years ago
- Printable Tibbles☆15Updated 6 years ago
- 🖼 A minimal R client for interacting with Instagram’s public API☆14Updated 6 years ago
- Small R package for no-API-required URL expansion☆32Updated 5 years ago
- ARCHIVED☆25Updated 3 years ago
- 📰🗞 New York Times data☆12Updated 7 years ago
- Read Text Data☆26Updated 5 years ago
- 📚🔍 All of my old gists in one place☆8Updated 7 years ago
- Easily Install and Load Modern Web-Scraping Packages☆49Updated 7 years ago
- A collection of thoughts and methods for text mining in R☆21Updated 6 years ago
- Year in Review with R Rmd Template☆34Updated 7 years ago
- Make handling decision trees easy. Treezy.☆14Updated 5 years ago
- 😎 A clean and stylish template for rmarkdown 🐯☆22Updated 6 years ago
- Fast readability scores for text data☆23Updated 6 years ago
- ARCHIVED A simple interface and workflow for version control in R (implemented using git as backend but without the confusion)☆26Updated 3 years ago
- #rstats github flexdashboard☆38Updated 8 years ago
- A glossary of terms used in and around data science.☆23Updated 5 years ago
- U.S. House and Senate Voting Cartogram Generators in R☆42Updated 2 years ago
- RStudio Addin to Run a Selection as a Background Job☆20Updated 5 years ago
- Tools to complement building and using R packages installed from GitHub☆25Updated 9 years ago
- Uncertainty Visualization book☆19Updated 6 years ago
- Presentation for short course at Symposium on Data Science and Statistics in May 2019☆13Updated 6 years ago
- A set of RStudio add-ins for playing with distribution parameters and visualizing the resulting probability density and mass functions.☆20Updated 5 years ago
- ARCHIVED☆36Updated 3 years ago
- Course website for JOURN 8016: Advanced Quantitative Research Methods☆13Updated 6 years ago
- Presentation of {polite} at UseR'19 in Toulouse (11 July 2019)☆17Updated 6 years ago
- Travel smoothly between country name and code formats☆34Updated 4 years ago
- 📝 Topic Modeling for Humans☆36Updated 4 years ago
- 💫 Easily install and load packages for Twitter network analysis and visualisation☆20Updated 5 years ago
- R Themes in AP style☆30Updated last year