Development

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...

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

Excel Best Practices. Efficient Excel Spreadsheet Designs in Excel Spreadsheets

Even if you're no spreadsheet expert you can benefit from these awesome tricks and hacks.

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.

Spreadsheet softwares allow us to analyse large amount of data to get new insights on process or business. We all have tons of…

Be more productive with Microsoft Excel with these Excel tips and tricks. Take the data in your spreadsheet to the next level.

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...

Learn five ways to leverage Microsoft Excel spreadsheets for more effective data management and data visualization tools to drive better decisions.

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.

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

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 ...

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.

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

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

Unlock Excel's most powerful features with these advanced pivot table tips and tricks that will help you master pivot tables and become a data ninja!

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

This tour shows how to create and execute Excel workflows with Spreadsheet Router.

Explore the concept of Data Analytics with R, Tableau and Excel. Also, understand the features, applications and working of these tools.

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.

shinytest

Data Science is not just for Engineers and Statisticians. Exploratory makes it for Everyone.

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...

Learn more about how and when to perform Exploratory Data Analysis - and how to use EDA data for powerful Business Intelligence.

Learn how to use Chrome DevTools to find and fix JavaScript bugs.

‎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…

Introduction Data visualization is an important aspect of the data science work flow. This app enables the analyst to understand the data in question. In this post, we will build an application whi…