Bullet Chart
For Microsoft® Power BI
The Bullet Chart for Power BI is a variation of a bar chart developed as a replacement for gauges and meters. The Bullet chart has the following advantages over the gauges. It saves space and requires less real estate, as it can be oriented horizontally and vertically based on the space available. The bullet chart displays multiple measures in a single visual. The custom visual is designed in such a way that the information present in the chart is conveyed easily.
Features
Conditional Formatting
Robust alerting capabilities based on value, number, data selection and complex calculations to convey the state of the KPI whether it is doing good or bad.
Qualitative Ranges
The bands act both as a comparative series and qualitative ranges to provide a performance rating to the value being measured
Advanced Analytical Features
This feature sets a common benchmark using the horizontal or vertical reference line under the analytics section
Orientation
Choose between horizontal or vertical orientation for different use cases
Summary Table
Toggle chart view to Summary Table to view detailed data in a tabular format
Detailed Tooltip and Legends
Legend and tooltip customization, especially centered around the bands to provide a snapshot of all the data being displayed along with the percentage of goal achieved.
Comparison Band Customization
Customize the bands to act as a comparative series to compare with the actual value
Marker Customization
Customize markers to display 2 benchmark values with different styling options
Reverse Axis and Legends RTL support
Reverse Axis is available for both X and Y axis and RTL Support enables readability of languages such as Arabic
Related Blogs
5 Use Cases for xViz Bullet Chart using Microsoft Power BI
This blog is part of the Bullet Chart Blog Series In this blog, we will be looking at some of the common use cases of the Bullet Chart using xViz Custom Visuals for Power BI. Use Cases - Summary Highlighting performance against benchmark using Conditional Formatting...
Configuring Comparison Band in xViz Bullet Chart
Note: This blog addresses some features of the custom visual that will be available in the App Source in Nov 2019. To get this latest build, reach out to us here. This blog is part of the Bullet Chart Blog Series. In the previous blog, we looked at some of the key...
Bullet Chart- Advanced Custom Visuals for Power BI
Note: This blog addresses some features of the custom visual that will be available in the App Source in Nov 2019. To get this latest build, reach out to us here. This blog is part of the Bullet Chart Blog Series Bullet charts are a variation of a bar chart developed...
For any feature requests or questions about this advanced custom visual, please write to us at community.xviz.com
Feature Comparison of Free vs Pro version of the xViz Suite
| Features | Free | Pro |
|---|---|---|
| Orientation | ||
| Adv Conditional Formatting | ||
| Target Marker Customization | ||
| Qualitative / Comparison Band customization | ||
| Qualitative / Comparison Band in legends and Tooltip | ||
| Number formatting | ||
| Semantic formatting | ||
| Legends with RTL support | ||
| Horizontal / Vertical Reference Line | ||
| Horizontal / Vertical Reference band | ||
| Summary Table | ||
| Data Label customization | ||
| Conditional formatting in Legends | ||
| Click legends to hide series | ||
| Shared tooltip | ||
| X and Y Axis positioning | ||
| No of Series Display | ||
| Flip Axis | ||
| Reverse Axis | ||
| Axis Label Customization | ||
| Customize plot area width | ||
| On Demand Drilldown | ||
| Sort by anything other than default value | ||
| Tooltip - benchmark Progress | ||
| Global font family | ||
| Utility Menu - Exporting Options | ||
| Footer section | ||
| Interactive legend | ||
| Legend Customization | ||
| Additional tooltip settings |
Use Cases
Horizontal and Vertical orientation of the visual helps it to display multiple measures at the same time.
Performance of a product can be compared with one or more alternative measures
Multiple Qualitative Bands gives an overview of the target achieved as Good, Average or Bad
Targets can be identified by applying conditional formatting to the bands
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