No Clocks

Has anybody used R to create a Gantt chart? P.S. I could live without the dependency arrows.

Support for simple features, a standardized way to encode spatial vector data. Binds to GDAL for reading and writing data, to GEOS for geometrical operations, and to PROJ for projection conversions and datum transformations. Optionally uses the s2 package for spherical geometry operations on geographic coordinates.

Presentation-Ready Data Summary and Analytic Result Tables - ddsjoberg/gtsummary

R package, using vis.js library for network visualization - datastorm-open/visNetwork

Mostly R, data, and code.

codebook

Google Cloud Storage API to R. Contribute to cloudyr/googleCloudStorageR development by creating an account on GitHub.

Showcase of Shiny App for client database and after-sales calls exploration - ThinkR-open/clientapp

Create Pivot Tables natively in R. Contribute to cbailiss/pivottabler development by creating an account on GitHub.

dataCompareR is an R package that allows users to compare two datasets and view a report on the similarities and differences. - capitalone/dataCompareR

Learn from Virtual Workshops that take you through the entire Data-Science-for-Business process of solving problems with data science, using machine learning to create interactive applications, and distributing solutions within an organization.

Always wanted to write an R package for your team? This article gives tips for what to include in your team's R package. Get started today!

If "docs" is not in "inst" folder, it will not be available to the users

Summarise text by finding relevant sentences and keywords using the Textrank algorithm - bnosac/textrank

:chart_with_upwards_trend: Financial statements in R - bergant/finstr

Data model diagrams in R. Contribute to bergant/datamodelr development by creating an account on GitHub.

Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, GitHub, licenses, Rcpp, RStudio projects, and more.

validate your data and create nice reports straight from R - Appsilon/data.validator

:bar_chart: R package for tracking performance metrics across git versions and branches. - analyticalmonk/Rperform

This contains materials for the Advanced R course of the doctoral school of Grenoble, France.

How to load geospatial data into your workspace and prepare it for visualization.

Distributed programming in R is normally taken up to speed up a process or piece of code or scale up an interface or application for multiple users.

Some examples of running R applications on Google Kubernetes Engine

It all starts with sandboxes. Development sandboxes are dedicated safe spaces for experimentation and creativity. A sandbox is a place where you can go to test and break things, without the ramifications of breaking the real, important things. If you’re an analytic administrator who doesn’t have access or means to get a sandbox, I recommend that you consider advocating to change that. Here are just some of the arguments for why sandboxes are a powerful tool for the R admin that you may find helpful.