Building Data Models

By following these steps, we can build data models in Power Bi

1. Import Data: Connect to data sources and import relevant datasets into Power BI.

2. Transform Data: Use Power Query Editor to clean, transform, and shape data as needed.

3. Create Relationships: Define relationships between tables based on common fields.

4. Build Measures: Use DAX (Data Analysis Expressions) to create custom calculations and measures.

Building Visualizations

To build visualization in power bi, follow these step-

1. Select Visualizations: Choose the appropriate visualizations (e.g., bar chart, line chart, table) for the type of insights needed.

2. Drag and Drop Fields: Drag and drop fields from the data model onto the appropriate areas of the chosen visualization (e.g., values, axis, legend).

3. Format Visual Elements: Customize visual elements such as colors, fonts, and titles to enhance clarity and aesthetics.

4. Apply Filters: Utilize filters to focus on specific subsets of data within the visualizations.

Interactivity and Slicers

Some overview abouts Interactivity and slicers are-

1. Slicers: Slicers are visual filters that allow users to interactively slice and dice data. Users can select specific values or ranges in a slicer, affecting all connected visuals on the report.

2. Custom Interactivity: Advanced users can implement custom interactivity using DAX measures and Power BI’s built-in features.

Power BI is the most valuable tool for business/data analytics and has the power to visualize and analyze the data easily and also make informed decisions. In this article, we will cover what is data model in Power BI, relationships in Power BI, how to create relationships in Power BI using the autodetect method and manual method, and editing relationships between tables: cardinality and cross-filter direction.