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Overview Code snippets are text macros that are used for quickly inserting common snippets of code. For example, the fun snippet inserts an R function definition: If you select the snippet from th...

If you're learning web development, here's what you need to know about JavaScript and how it works with HTML and CSS.

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Provides functions that make it easier to construct Shiny apps that can dynamically construct reproducible R scripts.

I developed a web application to enable exploration of the data collected by a survey of software testers. I explain how R and Shiny can be used to create reactive web applications which make data accessible to a wider audience.

Bored and taught myself to make shiny apps today. Curious if anyone actually uses these at work though and some examples if so

The RStudio IDE reached version 1.0 this month. The IDE has come a long way since the initial release 5 and a half years ago. Many major features have been built: projects, package building tools, notebooks. During that same period, often hidden in the shadows, a growing list of smaller features has been changing lives. In celebration of version 1.0 this post hopes to spread fanfare for a few of these easy-to-miss tools.

The R task Force - R experts for all your needs

Looking to learn and create applications with example code snippets? Here are the best free code sample websites to start with.

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A general shiny app to import and export data to R. Note that this can be used as a starting point for any app that requires data to be loaded into Shiny. · GitHub

A simple Shiny application to demonstrate the use of saving and restoring state using an RDS file. - radmuzom/shiny_module_save_restore_state

Live theme switcher for R Shinydashboard applications - nik01010/dashboardThemeSwitcher

shiny.info is an open source package for R Shiny that allows developers to display diagnostic information in a div located in the corner of a Shiny app.

This R Shiny Tutorial will provide you with a detailed and comprehensive knowledge of R Shiny and how to create interactive Web Applications.

Getting started with web development can be strenuous and confusing. There’s so much to learn and you have so many different options for languages,

In this list, I’m going to go over 19 different tools that will help designers and developers stay organized. I tried hard to make sure to gather

Recommended Packages Many useful R function come in packages, free libraries of code written by R's active user community. To install an R package, open an R session and type at the command line in...

Add & Validate forms in your Shiny App! Contribute to piotrbajger/shinyreforms development by creating an account on GitHub.

Shiny app for building charts with a point-and-click interface - sicarul/shiny-chart-builder

HTTPS to Secure Your RStudio + Shiny App Work Environment Click any link in list below to jump to topic Creating a Friendly URL Route 53 to Host Domain and Create Subdomains AWS Certificate Manager for SSL keys AWS Elastic Load Balancers: HTTPS Redirection Installing Nginx & Creating Configuration Files I wanted to create this post as an addition to my previous post Running R on AWS EC2 and Logging into RStudio from Anywhere to show how to secure your AWS environment.

Creating a Shiny application to scrape data from IMDB's top movies.

Now I am become death, destroyer of groups.... Contribute to MilesMcBain/wisegroup development by creating an account on GitHub.

Data science is characterized among other things using open source tools. An advantage when working with open source languages such as R or Python is the large package world. This provides tools for numerous use cases and problems through the development within huge communities. The packages are organized in digital ...

R is a free software environment for statistical computing and graphics, available from The R Project for Statistical Computing. At Indiana University, R is ...

This is a guide on how to conduct Meta-Analyses in R.

To help you land your ideal data science job, we've come up with Python interview questions you should be prepared to answer.

A curated list of awesome ETL frameworks, libraries, and software. - pawl/awesome-etl

Shiny 1.0.4 is now available on CRAN. To install it, run: install.packages("shiny") For most Shiny users, the most exciting news is that file inputs now support dragging and dropping: It is now possible to add and remove tabs from a tabPanel, with the new functions insertTab(), appendTab(), prependTab(), and removeTab(). It is also possible to hide and show tabs with hideTab() and showTab(). Shiny also has a new a function, onStop(), which registers a callback function that will execute when the application exits.