Join the datasets#
We now have three datasets at the same level of granularity: the Asset, i.e., an individual car. Joining them together will give us the most possible information for a model. With the same Asset ID in each dataset, we can easily join the datasets with a visual recipe.
From the failure dataset, initiate a Join recipe.
Add usage_by_Asset as the second input dataset.
Name the output
data_by_Asset
, and click Create Recipe.Add a third dataset maintenance_by_Reason to join to failure.
Both joins should be Left Joins. Asset should be the joining key in all cases.
Run the recipe, and confirm the output has 21 columns.

Note
To learn more on the Join recipe, see the following articles:
The data_by_Asset dataset now holds information from maintenance and usage, labelled by failures. Congratulations, great work!