Understanding Your Audience

We respond well when people remember things about us—specific things, like our names or our birthdays or our favorite foods or our unusually fuzzy pet llama named Roberto. It makes us feel important. This same concept applies to data visualization. However, it is often disregarded. Thus, you end up making bad data visualization. Bad Data Visualization Example Your audience will care about your data visualization if you show you care

It can be grueling work to discover exactly what people want, particularly in the data field. People often don’t know what they need, or what analytics can do for them. Questions Are Critical As a data scientist, this is where you come in—and your task can be Herculean. You have to find out what your audience actually needs. The best way to do this is by asking the right questions