Slicers versus columns and rows
This article describes the purpose of slicers, columns, rows, and measures in the Data Analysis Panel.
The Data Analysis Panel appears when you create a new metric set by dragging data onto a metric set or dashboard canvas. You can also open this panel from the toolbar or context menu for a data visualization.
2. Data Analysis Panel
The Data Analysis Panel lets you build a view of your data simply by dragging data from the Explore window.
|Measures||Display numeric/fact values||Yes|
|Rows||Group by values into rows/data points||Yes|
|Columns||Group by values into columns/series||Yes|
The figure below shows the Data Analysis Panel for a table visualization on a dashboard.
Add data under Measures in the Data Analysis Panel to display the numeric values you are interested in viewing (such as sales or stock levels). Measure values will be grouped by the row and column hierarchies that have been added, and filtered by slicers, if any.
In a table visualization, each measure appears as a column. When selecting multiple measures together with a column hierarchy, the measure columns will reoccur for each column hierarchy value (e.g., Accessories).
In a chart, each measure is displayed as a series of data points, each with a different color by default.
Hierarchies can be added under Rows in the Data Analysis Panel to group the measures by the selected values into rows (such as sales broken down by country instead of just a single total sales value). If you add multiple hierarchies, a row will be displayed for each combination of their values in the data.
In a bar chart, rows of data are displayed as data points (bars). These will often be displayed along a chart axis to correspond with each data point.
Hierarchies can be added under Slicers in the Data Analysis Panel when you only want to filter by their values.
The slicer hierarchy members selected for filtering can be displayed in tooltips and labels. If you want to display different values in rows, columns or data points then you can place them elsewhere on the metric set.
After adding a hierarchy under Slicers, click its filter icon and choose the values to filter by.
In a dashboard or another view, you can also add a filter to your view connected to this slicer, or connected to any other hierarchy or measure.
Hierarchies can be added under Columns in the Data Analysis Panel to group the measures by the selected values into columns. Since measures are normally each displayed as a column, they will be repeated for each column hierarchy value. If you add multiple column hierarchies, the measures will be repeated for each combination of the hierarchy's values in the data.
Column hierarchy members appear as another row of column headers in a table visualization.
In a bar chart, each column hierarchy member splits each series of bars into separate series, where each series is colored differently by default.
7. See also
- Video: Using The Data Analysis Panel
- Video: Filters
- Metric set analysis tools
- Create a metric set and add a filter
- Understanding the Dundas BI Data Model
- Setting up the visualization