Developing dashboards, reports, and KPIs
In some technical interviews, you are given a take-home technical task to complete, and this might include data visualization. In the previous section, we touched on some common dashboarding tools a data scientist might use. In this section, we will delve deeper into some best practices for your dashboards, reports, and KPIs.
As a data scientist, you’re not only tasked with uncovering insights from data but also communicating these insights effectively. This often involves creating dashboards, reports, and KPIs. While the aesthetics of your visuals are important, clarity, accuracy, and usability should always take precedence. The following are some best practices to help you create effective dashboards and reports:
- Prioritize clarity and simplicity: Avoid cluttered or overly complex visualizations. Keep your dashboards and reports simple and intuitive. Stick to one primary message per chart and limit the number of visualizations...
