Pivoting wider is essential for making summary tables that go into reports and help humans understand key information.

Each month, we release tons of great content on R for Business. These are the 5 Top Articles in R for Business over the past month. We have some great ones in October. Let's dive in.

The across() function was released in dplyr 1.0.0. It's a new tidyverse function that extends group_by and summarize for multiple column and function summaries.

Python’s datatable was launched by h2o two years ago and is still in alpha stage with cautions that it may still be unstable and features may be missing or incomplete. We found that it feels very similar to the R version...

relocate() is like arrange() for columns. It keeps all of the columns, but provides much more flexibility for reordering. Notice how all of the columns are returned.

Plot time series data using the fpp2, fpp3, and timetik forecasting frameworks.

Why create PDF's manually when you can automate PDFs with R? That's exactly what I show you how to do in this video showcasing parameterized Rmarkdown.

The biggest thing I missed when I transititioned from Excel to R was PIVOT TABLES! Seriously, Pivot Tables are so useful. You can summarize and reshape (aka Pivot) data so easily with them in Excel.

I'm super excited to introduce modeltime.ensemble, a new time series forecasting package designed to extend modeltime with ensemble methods like stacking, weighting, and averaging.

A eatter way to do your EDA, and with less unnecessary coding and more flexibility using GGPLOT2 + PURRR. When you are plotting different charts during your exploratory data analysis, you sometimes end up doing a lot of repeated coding...

Your company lives off them... Excel files. Why not automate them & save some time? Here's an Excel File you're going to make in this tutorial from R.

The top 5 best articles on R for Business from last month.