Heatmap by Powerviz provides a powerful way to visualize data density or value distribution across categories or dimensions using color gradients. It condenses complex datasets into an easy-to-interpret matrix format, where each cell's color intensity reflects the data's magnitude or frequency. The Heatmap is ideal for identifying patterns, correlations, and outliers within large datasets, making it indispensable for data-driven decision-making.

Check out the live demo here.

To access all the advanced settings, click the gear "⚙️" icon in the top-right corner.

Key Feature Highlights:

Shapes: Select from various built-in shapes, including Default, Fixed, and Diverging varieties.
Data Colors: Offers 30+ color palettes including color-blind safe mode with the flexibility to add colors by data classes or by using a custom color field.
Data Labels: Choose from 3 display styles or add custom data labels with formatting options to customize the labels.
Axis Settings: Customize the axes by adding position and text formatting.
Grid Lines: Enhance the visual structure and readability of your data using grid lines.
Plot Area: Customize the plot area by choosing the maximum number of rows or columns to display.
Reference Lines: Plot lines on the Y-axis and X-axis to highlight a range of important points of an event.
Ranking: Filter out Top/Bottom N by each row or column. Either hide or show the remaining categories as "Others".
Total: Add total values on rows and columns with bars using advanced customization options.
Small Multiples: Split your visual into multiple, smaller visuals based on your selected fields.
Conditional Formatting: Easily identify outliers based on measure or category rules.
Grid View: Transforms the visual into an interactive table. Filter, Search, and Sort capabilities for quick data scanning.
Show Condition: Show/hide the visual based on a condition.
Native Features - Supports native features including cross-filtering, interaction, selection, tooltip, and bookmark.

Business Use Cases:

Market Analysis: Use the heatmap to visualize and compare market trends, customer preferences, or sales performance across various demographics or geographical regions. It helps identify patterns and trends in consumer behavior or market dynamics.
Performance Evaluation: Assess and track employee performance metrics, such as sales targets, productivity, or customer satisfaction ratings, over time. The heatmap can highlight strengths and areas needing improvement, aiding in performance management and decision-making.
Risk Assessment: Identify potential risks or anomalies within financial or operational datasets by visually representing data patterns. The heatmap can reveal outliers, unusual trends, or areas of high risk, enabling proactive risk management strategies.
Scientific Research: In scientific research, use the heatmap to analyze data correlations, distributions, or experimental results across different variables or parameters. It facilitates visualizing complex data relationships and patterns, assisting researchers in drawing meaningful conclusions.

NOTE

To learn more about the Heatmap by Powerviz, visit the website.

Check out the feature video and other tutorials. Learn more about the Heatmap with detailed documentation.

Get all the visuals from the Powerviz library at a discounted bundle price from our website.

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For any questions or need a custom quote, please write to us at: support@powerviz.ai or book a meeting with us.

Heatmap by Powerviz

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