Productivity is essential in data science. Businesses need value quickly so they can make decisions. Corrmorrant gets this.
Make insanely fast grouped summaries by leveraging data.table with dtplyr. Then quickly visualize your summaries with ggplot2.
I'm super excited to introduce the new autoregressive forecast functionality in modeltime that allows you to convert any tidymodels regression algorithm into an autoregressive forecasting algorithm.
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!).
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.