Polar Chart

A pie chart is a type of visualization chart where the data is represented in circular format based on the categorical values, showcasing the part-to-whole contribution. Each slice of the chart represents individual categorical values. The arc length and the sector angle or area of each slice are directly proportional to the data. The slices in a pie chart add up to a total of 100% when viewed in percentage contribution. You can also showcase the data values on the pie chart without converting them to the percentage contribution.

A donut chart is a type of pie chart with an inner radius. Compared to the pie chart, the donut chart showcases the data as arcs rather than slices. A rose chart, on the other hand, is another type of pie chart where all the area or radius of each slice is directly proportional to the data.

Note

• A polar chart can be used to showcase comparisons between different categories or groups, showcase trends over time, part-to-whole relationships, and visualize frequency distributions.
• Example Polar charts can easily showcase the comparison on sales figures across different sales channel by priority.

Polar Chart

Note

• Use polar charts to compare values between different categories or groups.
• Use clear and concise labels for the x-axis (categories or groups) and y-axis (values) to ensure the chart is easy to understand.
• Use different colors or patterns to differentiate between bars, when comparing multiple categories or groups.
• Use a polar chart when you have categorical data (data that can be divided into distinct categories).
• Use a polar chart when you want to compare values between different categories or groups.
• Use a polar chart when you have discrete data points (e.g., months, product categories).

Dont's

Do not overcrowd the chart with too many bars.

Basic Configuration

Add and configure the polar chart in Infoveave with the simple drag-and-drop option. Below are the simple steps on how to configure a polar chart in Infoveave.

1. Drag the polar chart and drop it onto the designer workspace, from the chart library.
2. Click on the polar chart in the designer to select it.
3. With the polar 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 polar 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 on the polar chart.
7. Choose the Dimension(s) that represents the categorical values you want to display on the polar 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 polar 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 polar 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.
• Sorting Choose the order in which data points are shown in the chart.
• Position Customize the visibility and position of the widget within the chart area.
• Categorical Axis Set up the categorical axis, including labels, intervals, and range sliders.
• Numerical Axis Configure the numerical axis with labels, scaling, grid lines, and range sliders.
• 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 for stacking data series and setting the radius and scale for the chart.