Data Visualization is the front end of every BI system, and getting it right is one of the most important tasks in a BI application. Good visualization will affect tremendously on decision making process, bad visualization leads to wrong decisions. In this session, you will learn how to choose the right chart of visual with examples of Line chart, bar/column charts, and some other main charts in Power BI. You will also learn some tips and tricks to control interactivity of visuals in Power BI. You will learn about specific features in Power BI that helps empowering your visualizations. Session is full of demos, and through that you will learn tips and tricks for choosing best colors and best visuals for your solution.
Nate’s Take :
Reza shares an important truth early in this session: charts are not the problem. Power BI is an incredible tool for storytelling with data. The real artistry with the tool, however, comes with selecting the right combination of visualizations to most effectively tell your story. I was impressed by the custom visualizations (15:41) possible for developers such as shading areas of a car diagram to indicate damage. And for non-developers, explore grouping fields (11:45), the benefits of ribbon charts (27:30) over other stacked options, using maps with ArcGIS data layers (21:40), and adding the play axis (31:50) to scatter and map visualizations to tell a more impressive story over time.
You will learn:
- Data Visualization Principals
- Power BI Visualizations
- Map Visuals in Power BI
- Custom Visuals
- Impact of colors in Visualization
- Choosing the right chart