Characterize Personas from Your Data
Explore how to characterize fictional personas from data to identify trends and behaviors. This lesson guides you through segmenting restaurant tip data to compare tipping patterns between specific customer groups, helping you extract meaningful insights from real-world datasets.
We'll cover the following...
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 ... ...