Using anomaly detection in Power BI

Now that we have time-series data ready to go and understand what the anomaly detection feature in Power BI does, it's time to try it out.

Importing the sample dataset into Power BI

To follow along with the steps to enable anomaly detection in Power BI, make sure you have imported the tourism dataset. You can download the dataset from GitHub via the following link: https://raw.githubusercontent.com/PacktPublishing/Artificial-Intelligence-with-Power-BI/main/Chapter05/tourism-details.csv.

Save the downloaded dataset on your local system and name it tourism-details.csv. Import the dataset into Power BI and leave the query name as tourism-details, as it will be referenced by that name. The query will consist of four fields: Period (categorized as date), Accommodation type (categorized as text), Travel (categorized as text), and Tourists (categorized as whole number).

Enabling anomaly detection in Power BI

Once you have the data in...