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Infoveave Help

Multi-Variate Chart

Multivariate charts in Infoveave allow you to plot and analyze a single measure value against multiple dimension values. These charts allow you to visualize how different dimensions influence the measured value, providing valuable insights into trends and variations.

Example A measure value, such as “Shipping Quantity,” which represents the total quantity of items shipped, is analyzed against multiple dimension values. This value is plotted against three key dimensions- “Order Priority,” “Dealer,” and “Ship Date” on the axis.

Multi-variate Chart (Bar)

Multi Variate Chart

Basic configuration

Add and configure the multi-variate chart in Infoveave with the simple drag-and-drop option. Select the Datasource, the associated measure and the dimensions required. Below are the simple steps on how to configure a multi-variate chart in Infoveave.

  1. Drag the required multi-variate chart and drop it onto the designer workspace, from the chart library.
  2. Click on the multi-variate chart in the designer to select it.
  3. With the multi-variate 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 multi-variate 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 multi-variate chart.
  7. Choose the Dimension(s) that represents the categorical values you want to display on the bi-variate chart.
  8. Choose the Dimension values you want to group by (optional) on the bi-variate chart.
  9. Use the Date (optional) to include a date dimension in your chart, useful for showing trends over time. Multi Variate Chart
  10. Enable Hide Zero Values option (optional) to hide bars that have a value of zero.

Chart Customization

Customizing the multi-variate 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 multi-variate 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.
  • Grid Customize the visibility and style of grid lines and margins in the chart.
  • 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 adding the required shadow stylings.