This session highlights the differences between "bad" and "good" charts, focusing on the importance of good data visualization practices and ways to improve Power BI data visualizations by choosing different chart types, changing default format settings, and applying tricks and workarounds.

Through side-by-side comparisons of "bad" and "good" charts, participants will learn to use Power BI's data visualization capabilities beyond its default settings.

Target Audience:

This session is for Power BI report developers, data analysts, and visualization experts who want to enhance their skills in creating better charts beyond the default format settings.

Session Level and Prerequisites:

Intermediate. Participants should have experience in inserting and formatting Power BI core and custom visuals and creating simple DAX measures.

Attendees will learn to:

Critically evaluate default visualization choices in Power BI.
Apply principles of perception to enhance the clarity of charts.
Use techniques, tricks, and workarounds to overcome Power BI's limitations.
Create compelling visualizations that support better decision-making.