Characterize Personas from Your Data

Break down the components of creating and mining insights for personas.

Applying data storytelling strategies to identify trends for personas can be a rich source of insights. Personas are fictional characters that are created to represent certain groups. Personas can be as detailed or as high-level as a data storyteller deems relevant for the use case.

In this section, we'll define a few hypothetical example personas and walk through how we can characterize insights for these groups.

The restaurant use case

We'll be looking at the Tips dataset in this section. This data is composed of information one waiter collected about tips they received working in a restaurant over a few months. Typically, the data collected for personas may be more detailed—we are using this dataset as an example.

Let's briefly inspect the dataset.

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