A Clustered Column Chart is a type of data visualization in Power BI that displays data as vertical columns grouped by categories.
This chart is particularly useful for comparing values across different categories, providing a clear visual representation of data distribution.
Let’s grasp the concept with an example:
Step-1: Open the Power BI file and add a Clustered Column Chart from the Visualization Pane to the Power BI Report page.
Step-2: Click anywhere on the Clustered Column Chart, then drag the required columns to the Fields Section. Refer to the image below for a visual reference.
- X-axis: ‘Region’
- Legend: ‘Product Category’
- Y-axis: ‘Sales’
Required Fields descriptions
- X-axis: Specify the Column that represent the Vertical Bars.
- Legend: Display grouped by category data series as in Vertical Bars.
- Y-axis: Any Numeric value such as Sales amount, Total Sales etc.
How to formatting Clustered Column Chart?
Select the chart > Click on “Format your visual tab”> From there, you can manage the properties listed below:
X-axis : Mange the X-axis Value font size, color & Title.
Y-axis: Mange the Y-axis Value font size, color, Title, Display Unit etc.
Legend: Specified the Legend Text color, font size, Position & Title.
Columns: Change the color of chart & maintain the spacing between columns.
Data Labels: Enable the data labels on chart, manage the display unit of labels
Properties: In this section you can manage the chart height, width, horizontal & vertical position.
Title: Under general tab you can see the title section> Here you can set the below properties-
- Title- Specified the title for chart, & manage the font size, color, background for chart.
- Subtitle- Specified the subtitle for chart, & manage the font size, color, background for chart.
- Divider- Enable the line between Title & chart.
- Spacing- Manage the space between title, Subtitle & chart area.
Key features of a Clustered Column Chart in Power BI include:
- Categorical Comparison: Each column on the chart represents a specific category, and the height of the column corresponds to the value of the data category.
- Grouped Columns: Columns are grouped side by side for each category, allowing easy visual comparison between categories.
- Axis Labels: The x-axis typically represents the categories, and the y-axis represents the values.
- Color Coding: Different categories are often represented using distinct colors for better differentiation.
- Legend: The legend identifies the categories and their corresponding colors.
- Tooltip: Hovering over a column provides detailed information about the value it represents.
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