Table, Matrix, Key Influencers, Decomposition Tree Visuals
The following dashboard uses the Sample - Superstore datasets to demonstrate the creation of:
- Table
- The Table visual is a grid where related data is displayed in 2D format i.e. rows and columns.
- Table visual is flat, means duplicate values are displayed and not aggregated.
- Tables are great for quantitative comparisons where you compare multiple values from different categories.
- In Power BI the following fields are shown in details pans:
- Columns defines the columns to be added to table
- Matrix
- The Matrix visual is similar to table but it can display data in multiple dimensions.
- The Matrix aggregates the data itself and lets users drill down.
- In Power BI the following fields are shown in details pans:
- Row field defines the data that need to be shown in rows
- Column field defines the data that will represent columns of matrix
- Values define the numeric data that needs to be aggregated
- Key Influencers
- The Key influencers visual shows the top contributors to the selected metric value.
- Key influencers makes use of Regression analysis.
- In Power BI the following fields are shown in details pans:
- Analyze field identifies the data that needs to be analyzed
- Explain by are factors that influence the analyze field
- Expand by field is used when analyzing a measure or summarized field
- Decomposition Tree
- A decomposition tree visualizes data in its components or building blocks.
- Decomposition tree visualize data across various categories and dimensions and allows to drill down into the data for in-depth analysis.
- In Power BI the following fields are shown in details pans:
- Analyze field identifies the data that needs to be analyzed
- Explain by fields that are used to analyze or drill-down the data
0 comments:
Post a Comment