A Gentle Introduction to R Shiny

    Written by Matt Dancho on March 16, 2021

    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!).


    Assess Your DATA QUALITY in R with skimr

    Written by Matt Dancho on March 9, 2021

    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.


    DataExplorer: Exploratory Data Analysis in R

    Written by Matt Dancho on March 2, 2021

    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.


    5 Reasons You Should Learn Shiny

    Written by Matt Dancho and Jarrell Chalmers on February 25, 2021

    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.


    How to Add Shiny to Rmarkdown

    Written by Matt Dancho on February 24, 2021

    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.


    R is for Research, Python is for Production

    Written by Matt Dancho and Jarrell Chalmers on February 18, 2021

    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.