Slide Decks are so important for storytelling in business. We can use Rmarkdown to tell our story with engaging interactivity thanks to the xaringan library. Here's how to make PowerPoint-style Slide Presentations that are interactive straight from R.

Let's make a professional business report in 5-minutes in HTML and PDF formats, and incorporates your data analysis in R​. Reporting used to take me much longer and is now faster with the new Rmarkdown Visual Editor.

Tableau-users rejoice! The esquisse R package is here to make you life much easier - make ggplot2​ plot code using a drag-and-drop Tableau interface. Here's what you need to do.

What if you could turn your #datascience​ analysis into a web application? You can do exactly that with R​ Shiny​. R Shiny is an amazing framework built to convert your data analysis into a web app - FAST! Create amazing applications your business can use in hours (not months!).

I'm super excited to introduce modeltime.h2o, an H2O AutoML backend for forecasting

Skimr is my go-to R package for fast data quality assessment, and Skimr is my first step in exploratory data analysis. Before I do anything else, I check data quality with skimr.

In Learning Labs PRO Episode 50, Matt tackles an in-depth tutorial on Hierarchical Forecasting using the M5 Forecasting​ Competition.

Did you know most Data Scientists spend 80% of their time just trying to understand and prepare data for analysis? R has an Insane Exploratory Data Analysis productivity-enhancer. It's called DataExplorer.

Many data scientists struggle with distributing their work, however, you can make that a problem of the past thanks to Shiny. Here are five reasons you should learn Shiny and why it is a game-changer for upskilling your career.

Shiny is an R web framework with a HUGE ECOSYSTEM of interactive widgets, themes, and customizable user interfaces called the Shinyverse. In this article, we use Shiny to make our R Markdown Report interactive.

Both R and Python are great. We’ll showcase some of the strengths of each language in this article by showcasing where the major development efforts are within each ecosystem.

Exploratory Data Analysis is what every data scientist does to understand actionable insights from the data. This process used to take forever. Not anymore...