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With the aid of the Include and Exclude filters you can refine your data file.


Table of Contents: 

Advantages


  • Reduces the number of irrelevant products for the use case of the Product Guide (e.g. skateboards in a bike advisor).
  • Reduces the complexity and increases the useability within the Workbench.

Include Filter


The Include filter reduces the data file to all products which match the selected attribute values.

The example below shows that we only want to include all city bikes. All other categories like mountain bikes or racing bikes are excluded automatically. That means that the number of products is reduced.

Tip

Especially if your data file is huge and includes a lot of categories which are not relevant for your Product Guide, that include filter is very useful.

Exclude Filter


The Exclude filter removes all products which match the selected attribute values.

The example below removes all bikes which do not have lights, a bell and reflectors. In combination with the include filter which gives us only city bikes, we've got a set of bikes which can be legally used in cities.

Next Step: Evaluate Attributes


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