PacktPublishing / Web-Application-Development-with-R-Using-Shiny-third-editionLinks
Web Application Development with R Using Shiny - Third Edition, published by Packt
☆31Updated 3 years ago
Alternatives and similar repositories for Web-Application-Development-with-R-Using-Shiny-third-edition
Users that are interested in Web-Application-Development-with-R-Using-Shiny-third-edition are comparing it to the libraries listed below
Sorting:
- R Data Structures and Algorithms, published by Packt☆47Updated 3 years ago
- Source Code for 'Advanced R Statistical Programming and Data Models' by Matt Wiley and Joshua F. Wiley☆23Updated 6 years ago
- R for Excel Users Workshop☆77Updated 5 years ago
- An Introduction to Machine Learning with R☆85Updated 2 years ago
- The R Cookbook 2nd Edition☆65Updated 2 years ago
- Supporting materials for Claus Wilke's data visualization book☆97Updated 5 years ago
- R Deep Learning Projects, published by Packt☆22Updated 3 years ago
- Repository for dplyr tutorials I made☆25Updated 7 years ago
- R Deep Learning Cookbook, published by Packt☆30Updated this week
- ☆16Updated 6 years ago
- Automatic Generation of Interactive Visualizations for Statistical Results☆92Updated 2 years ago
- The associated R package for Efficient R programming☆48Updated 6 years ago
- rstudio::conf(2020) deep learning workshop☆161Updated 6 years ago
- Recommended learners for mlr3☆96Updated last week
- Materials for Data Science in the Tidyverse, a two-day workshop @ rstudio:conf(2019)☆92Updated 7 years ago
- Solutions to selected exercises from Hadley Wickhams ggplot2-book☆14Updated 9 years ago
- ggQC☆48Updated 5 years ago
- Code and Resources for "Applied Machine Learning"☆163Updated 5 years ago
- Text Mining with Tidy Data Principles ✨ 📖✨☆65Updated 6 years ago
- ☆63Updated 2 years ago
- This is a showcase of interactive charts in shiny and Rmarkdown reports☆33Updated 2 years ago
- ☆47Updated 4 years ago
- Free online R courses☆50Updated 4 years ago
- Use dplyr to analyze Big Data☆109Updated 6 years ago
- Extending some ggplot2 functionalities by permitting the drawing of both quantile-quantile (Q-Q) and probability-probability (P-P) points…☆52Updated 5 months ago
- A short and to-the-point summary of a reproducible data science workflow☆58Updated 6 years ago
- ☆29Updated 4 years ago
- Parallel Processing in R using a Thread Pool☆72Updated 6 years ago
- ☆46Updated 6 years ago
- Tools for Descriptive Statistics and Exploratory Data Analysis☆93Updated last week