Build Smarter Visualizations: Understanding Dimensions vs. Measures

• Data Sources & Tables: How to import different data sources and pull relevant data tables onto the workspace canvas. • Connection Types: Choosing between live or extract connections for different project needs. • Data Previews: How to check raw rows and preview data directly before building metrics. • Data Types: Modifying columns into distinct classifications such as text string, number, or geographic data. • Visual Previews (Show Me): Using the "Show Me" menu to see formatting prerequisites for line charts, bubble charts, or side-by-side bars. • Dimensions: Working with non-numeric fields representing qualitative, categorical data points like name or region. • Measures: Visualizing numeric columns representing quantitative values like total sales or order quantities.