Product Anomaly Detector
Create a Dashboard for Product Performance Anomalies with Quarto
In this simple example, we start with a dataset. In a business context, we often work with dates and values, which constitute time series data.
First, we load the TimeTk
library by Matt Dancho. We have also downloaded a set of SKUs, with the items randomized to create dummy data. However, as you can see, this is just sales data.
library(timetk)