Super-FAST EDA in R with DataExplorer

    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.


    4 Ways to make Data Frames in R!

    Written by Matt Dancho on February 2, 2021

    Data frames (like Excel​ tables) are the main way for storing, organizing, and analyzing data in R​. Here are 4 ways using the tidyverse.


    Should you learn Python or R in 2021?

    Written by Matt Dancho on January 28, 2021

    For years Python and R have been pitted as mortal enemies in the world of data science, enticing its practitioners to choose a side and never look back - not anymore. It's time for these two titans to join forces through reticulate which allows us to use Python and R together!