R is a free, open-source programming language and software environment for statistical computing, bioinformatics, visualization and general computing. Provide minimal, reproducible, representative example(s) along with the desired end result.


Combining R {tidyverse, leaflet, DT, flexdashboard} and Python {pandas, GeoPy} to create a

In this tutorial, we'll learn Combining R {tidyverse, leaflet, DT, flexdashboard} and Python {pandas, GeoPy} to create a...

How to upload a local file as an Azure ML dataset using R code

This is a great capability for anyone who wants to build fully automated data science pipelines, or simply prefers a code-first approach.

Master data visualization with ggplot2: scatter and box plots

In this tutorial, we will work on creating scatter and box plots. After this tutorial, you will be able to make much better visualizations as shown below.

5 Examples to Compare Python Pandas and R data.table

In this tutorial, we'll learn 5 Examples to Compare Python Pandas and R data.table. Read through this article and see which one is better for your project.

Pandas vs Tidyverse on Textual Data

In this tutorial, we'll learn How to manipulate strings in both libraries. Pandas vs Tidyverse on Textual Data. Let's explore it with us now.

How to use the new R pipe in R 4.1

See the new pipe operator built into R 4.1 and how it differs from the maggritr pipe. Don't want to install 4.1 yet? Learn how to run R 4.1 in a Docker container.

A Python Equivalent for R Markdown

A Python Equivalent for R Markdown. R markdown is a powerful tool for sharing insights with stakeholders. You can write snippets of R code that generate plots. This can then be compiled to a HTML or pdf file that you can share with…

Tutorial of Data Visualization in R

Today, we are going to provide you some practical examples of Data Visualizations in R. Data Visualization is the tool of Data Scientists to tell a coherent story about their data and their statistical inference. Generally, I strongly suggest following Edward Tufte’s Principles.

How to Protect your Python and R Machine Learning Code

What options do you have for distributing Python and R code and still keeping some control over the intellectual property (IP). In this video I look at some of the high level options, such as API's, Docker Images, Compiled code, and encryption. If there is interest I may follow this up with more technical low-level tutorials on how to protect code in Python.

Including R in your Flat Data Workflow

The GitHub OCTO team recently released their first project: Flat Data. The project aims to offer “a simple pattern for bringing working datasets into your repositories and versioning them. Including R in your Flat Data Workflow. The most essential step of a Flat Data project is postprocessing.

Ask the Experts: Dynamic Workflow Orchestration with Azure Data Factory and

Join us for a live interactive session with our CTO on how Prefect is an open-source general-purpose dataflow automation tool that lets users orchestrate workflows with Python code and how Prefect is the perfect complement to Azure Data Factory in building dynamic workflows. Features include task mapping, non-Azure resource tasks, and robust state handling, while also designed to run on user-managed infrastructure and provides an easy way to manage on-premise execution of workflows through Data Factory.

Statistics Full Crash Course | Crash Course Statistics With R

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them.

Learn R Programming Full Course: 1 hour!

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The...

Learn Applied Statistics with R and SAS Practical Experiments | Full Course: 10 Hours!

Welcome to an awesome Statistics Crash Course on YouTube! This awesome free 10 hours long Stats course was taught by Professor Forsberg (F-Plus Education, Cr...

R Statistical Scientific and Numerical Programming with Data Sets: 1 Hour!

Statistics and R Practice Programming Assignments Practicum Lessons Taught by Professor Forsberg (F-Plus Education, Creative Commons Attribution license (reu...

R Programming For Beginners-Full Course | Learn R in 3 Hours| R Language Tutorial

Great Learning brings you this tutorial on R Programming for Beginners to help you understand everything you need to know about this topic and getting started on the journey to learn about it well. This video starts with an introduction to R and its installation, followed by understanding the concepts of variables, data types and operators, etc. in R. Following this, we will understand data manipulation with dplyr and data visualization with ggplot2. Finally, we learn about neural networks! This video teaches R programming and its key functions and concepts with a case study, demonstrations & examples to help you get started on the right foot.

R Programming Tutorial for Beginners | Learn the Basics of R Programming | R & RStudio Tutorial

👉 This video will introduce you to the R programming language, and will give you a hands-on overview of the statistical programming language R, one of the most important programming tools in data science..

KDnuggets™. News Library Beating Pandas in Performance; R or Python? Why Not Both?

Also: 10 Python Skills They Don't Teach in Bootcamp; Data Science Volunteering: Ways to Help; A Journey from Software to Machine Learning Engineer; Data Science and Machine Learning: The Free eBook. It's a pity if you missed out on this great article.

How To Import Data Into R | R Programming Basics | R Programming For Beginners

This video on How to import data in R will make your understand how to load and read data from different file types. You will learn the R programming basics along with different packages and functions required to import data present in text, csv, excel and sas files. You will also look at how to write data from R to an excel file.

Don’t Be Fooled by the Hype Python’s Got

Don’t Be Fooled by the Hype Python’s Got. We all know python popularity among DS practitioners has soared over the past few years, signalling both aspiring DS on the one hand and organisations on the other to favour python over R in a…