Radar Chart

A radar, spiker, or web chart is a graphical method to display data based on multi-measures (multi-measure radar chart) or multi-dimensions (multi-dimensional radar chart) on axes. It is particularly useful for comparing the performance of different entities across various attributes, and it provides a clear visual representation of strengths and weaknesses in multiple categories.

A radar chart mainly consists of data points, legends, axes, axes labels, and gridlines. A radar chart consists of multiple axes radiating out from a central point, evenly spaced around a circle. Data points for each variable are plotted along the respective axes at the appropriate scale value. Once all the points are plotted, they are connected by lines to form a polygon. Each entity being compared is represented by a separate polygon, often differentiated by color.

Multi Measure Radar Chart

Note

*A multi-measure radar chart requires a minimum of two measure values to plot the chart. *The multi-measure chart below represents the cost and profit across multiple countries.

Multi Dimension Radar Chart

Note

*A multi-dimension radar chart requires a minimum of two-dimensional values to plot the chart. *The multi-dimensional chart below represents the profit across multiple countries and sales channels.

Note

• Keep the number of variables to a manageable level to maintain clarity and avoid clutter.
• Differentiate entities with distinct colors and provide clear labels to ensure the chart is easy to read and interpret.
• Ensure that the scales on all axes are uniform or normalized to allow for accurate comparison across variables.
• Use radar charts in conjunction with other types of charts to provide a more comprehensive analysis and to overcome their limitations.

Dont's

• Do not use a radar chart to show case multiple variables as it can lead to clutters.
• Do not use radar chart when there is a huge difference in the scale of the measured variables.

Note

Radar charts are excellent for comparing multiple variables simultaneously, visualizing gaps and strengths, and identifying trends.

Basic Configuration

Add and configure the required radar chart in Infoveave with the simple drag-and-drop option. Select the Datasource, the associated measure(s) and the dimension(s) required. Below are the simple steps on how to configure a radar chart in Infoveave.

1. Drag the radar chart and drop it onto the designer workspace, from the chart library.
2. Click on the radar chart in the designer to select it.
3. With the radar chart selected, go to the Configuration tab located in the Configuration panel.
4. Under the Configuration tab, select the Basic Configuration option to access the essential settings for the radar chart.
5. Select the Datasource from Source which the chart will pull the data from the option.
6. Choose the Measure(s) that represents the numerical values you want to display based on the type of the radar chart.
7. Choose the Dimension(s) that represents the categorical values you want to display based on the type of the radar chart.
8. Use the Date (optional) to include a date dimension in your chart, useful for showing trends over time.
9. Enable Hide Zero Values option (optional) to hide bars that have a value of zero.

Chart Customization

Customizing the radar chart allows you to tailor the widget appearance to meet your theme. With improved customization you can enhance the clarity on the data points, the chart aesthetics and set interactivity filters making your dashboard visually appealing also effectively communicating your data insights.

The basic customizations available for the pie chart are as below

• General Modify the chart’s general appearance, including the background color, borders, shadows, and drill-out choices.
• Title Enable and customize the chart title’s text, font, color, and alignment.
• Position Define the widget visibility and position with the chart area.
• Sorting Choose the order in which data points are shown in the chart.
• Radar Set the radar chart axes to present the chart in the best way.
• Legend Adjust the legend’s visibility, position, text, and orientation, as well as heatmap settings.
• Series Customize the look and behavior of the data series, such as labels, colors, and backdrop.
• Tooltip Customize the tooltip settings to improve the information shown when you hover over data points.
• Others Additional options to show nulls as zero and hide overlapped labels.