### Time Series Demand Forecasting

Written by Luciano Oliveira Batista on November 25, 2020

Demand Forecasting is a technique for estimation of probable demand for a product or services. It is based on the analysis of past demand for that product or service in the present market condition.

### Forecasting Time Series ARIMA Models (10 Must-Know Tidyverse Functions #5)

Written by Matt Dancho on November 24, 2020

Making multiple ARIMA Time Series models in R used to be difficult. But, with the purrr nest() function and modeltime, forecasting has never been easier. Learn how to make many ARIMA models in this tutorial.

### Detect Relationships With Linear Regression (10 Must-Know Tidyverse Functions #4)

Written by Matt Dancho on November 17, 2020

Group Split and Map are SECRET TOOLS in my data science arsenal. Combining them will help us scale up to 15 linear regression summaries to assess relationship strength and combine in a GT table.

### Python and R - Part 2: Visualizing Data with Plotnine

Written by David Lucey on November 16, 2020

In this post, we start out where we left off in 'Python and R - Part 1: Exploring Data with Datatable'. We load our cleaned big MT Cars data set in order visualize the data with Python plotnine.

### 10 Must-Know Tidyverse Functions: #3 - Pivot Wider and Longer

Written by Matt Dancho on November 13, 2020

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

### Top 5 Best Articles on R for Business [October 2020]

Written by Matt Dancho on November 6, 2020

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.

### 10 Must-Know Tidyverse Functions: #2 - across()

Written by Matt Dancho on November 3, 2020

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 and R - Part 1: Exploring Data with Datatable

Written by David Lucey on October 30, 2020

Pythonโ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...

### 10 Must-Know Tidyverse Functions: #1 - relocate()

Written by Matt Dancho on October 27, 2020

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.

### How to Visualize Time Series Data: Tidy Forecasting in R

Written by Joon Im on October 22, 2020

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

### How to Automate PDF Reporting with R

Written by Matt Dancho on October 21, 2020

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.