Introduction
Heatmap by Powerviz is an advanced visual designed to visualize data density or values across different categories or dimensions using color intensity. It provides a clear and insightful representation of data through a matrix format, where each cell's color reflects the magnitude or frequency of the data it represents.
The Heatmap is available as a Power BI custom visual on AppSource and can also be purchased directly from our website. This visual empowers users with extensive customization options, including color gradients, scale adjustments, and the ability to add conditional formatting. Additionally, it supports interactive features like tooltip display and cross-filtering.
This documentation serves as a comprehensive guide to help you understand and effectively utilize the Heatmap by Powerviz. Whether you are new to our visuals or exploring advanced features, our visual library offers a range of options tailored to your analytical needs.
Key features of the Powerviz Heatmap:
Shapes: Provides options to choose between Default, Fixed, and Diverging shapes for data representation.
Data Color: Allows customization of color schemes to visually differentiate data values.
Data Label: Enables the display of specific data values directly on the heatmap for clarity.
Axis Settings: Offers configuration options for the X and Y axes, including label formatting and scaling.
Grid Lines: Controls the visibility and style of grid lines to separate cells within the heatmap.
Plot Area: Defines the space within the heatmap where data is plotted, allowing adjustments to margins and padding.
Reference Line: Adds a line at a specific value within the heatmap to highlight important thresholds or benchmarks.
Ranking: Orders the data in the heatmap based on specified criteria, helping to identify top or bottom performers.
Total: Displays the sum or aggregate of data values, either row-wise or column-wise, on the heatmap.
Small Multiples: Creates multiple heatmaps in a grid layout to compare different segments or categories.
Conditional Formatting: Applies formatting rules to cells based on data values, such as changing colors for certain thresholds.
Show Conditions: Allows users to set conditions that determine which data is displayed in the heatmap.
Explore our visual library to discover more Powerviz visuals and slicers that complement your analytics requirements. For further assistance or to schedule a demo, please contact us.
Follow this guide to unlock the full potential of the Powerviz Heatmap and enhance your data visualization capabilities.
Examples
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