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02-AREAS

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HTTPS to Secure Your RStudio Shiny App Work Environment
HTTPS to Secure Your RStudio Shiny App Work Environment
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.
·jagg19.github.io·
HTTPS to Secure Your RStudio Shiny App Work Environment
R-powered Excel for business analytics | Live Training
R-powered Excel for business analytics | Live Training
If you’re using Excel to collect, analyze, and interpret business data, you may be running into limitations that stop you from performing advanced, reproducible analysis. Speed up, automate, and validate your reporting and analytics with R, the po...
·learning.oreilly.com·
R-powered Excel for business analytics | Live Training
10 useful free Project Management Templates for Excel
10 useful free Project Management Templates for Excel
We list 10 most useful Excel Project Management Templates that will help you with Tracking. Excel allows you to calculate data with formulas, use graphing tools, build charts, create macros and design pivot tables.
·thewindowsclub.com·
10 useful free Project Management Templates for Excel
Developing a modern data workflow for regularly updated data
Developing a modern data workflow for regularly updated data
This Community Page article describes a data management workflow that can be readily implemented by small research teams and which solves the core challenges of managing regularly updating data. It includes a template repository and tutorial to assist others in setting up their own regularly updating data management systems.
·journals.plos.org·
Developing a modern data workflow for regularly updated data
Good practices in R programming
Good practices in R programming
R is a free software environment for statistical computing and graphics, available from The R Project for Statistical Computing. At Indiana University, R is ...
·kb.iu.edu·
Good practices in R programming
Package management: Using repositories in production systems | R-bloggers
Package management: Using repositories in production systems | R-bloggers
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-bloggers.com·
Package management: Using repositories in production systems | R-bloggers
Excel Models Best Practices - Guide to Creating Great Excel Models
Excel Models Best Practices - Guide to Creating Great Excel Models
When working on large and complicated financial models in Microsoft Excel, it can be quite challenging to document them clearly for the users’ ease of use and understandability. We will discuss here several Excel models best practices and other useful tips and tricks that users can apply to maintain and audit your
·corporatefinanceinstitute.com·
Excel Models Best Practices - Guide to Creating Great Excel Models
Build the Perfect Productivity System with Paper Notebooks and Digital Tool
Build the Perfect Productivity System with Paper Notebooks and Digital Tool
Apps aren't everything. Despite the plethora of to-do apps and note-taking apps available, pen and paper can still be a valuable productivity tool. In fact, paper note-taking and task management systems have been experiencing a revival in recent years, as we grapple with technology taking over our lives and...
·zapier.com·
Build the Perfect Productivity System with Paper Notebooks and Digital Tool
Shiny 1.0.4
Shiny 1.0.4
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.
·blog.rstudio.com·
Shiny 1.0.4
Exploratory
Exploratory
Data Science is not just for Engineers and Statisticians. Exploratory makes it for Everyone.
·exploratory.io·
Exploratory
How to Use Excel: 12 Techniques for Power Users
How to Use Excel: 12 Techniques for Power Users
Excel is great, but trying to figure it out how to use Excel on your own can get you only so far because it isn’t intuitive. But if you use the techniques and tips in this tutorial, you’ll be able...
·business.tutsplus.com·
How to Use Excel: 12 Techniques for Power Users
‎R Programming Compiler on the App Store
‎R Programming Compiler on the App Store
‎Write R code directly on your iPhone, iPad and iPod Touch! This app is ideal for learning and testing code snippets! R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used am…
·apps.apple.com·
‎R Programming Compiler on the App Store