Multi Measure Chart

A multi-measure chart is a type of visualization used to measure correlation. The correlation is measured between two or more measure values against a single dimension category. Each of the measure values will be assigned independent axes with different data scale ranges. By default, one of the measure value axes will be on the start side (left) and the other will be on the end side (right) of the chart. If the chart has more than two axes, you can set the position of the axis to be either at the start or at the end. Multi-measure charts are commonly used in scenarios where different metrics need to be compared simultaneously. However, care must be taken to avoid clutter and ensure that the chart remains readable and clear.

Note

You can choose between line or bar for the chart visualization.

Note

• Use clear and concise labels for the x-axis (categories or groups) and y-axes (values) to ensure the chart is easy to understand.
• Use different colors or patterns to differentiate between bars or columns, when comparing multiple categories or groups.

Dont's

Do not overcrowd the chart with too many columns or lines.

Basic Configuration

Add and configure the multi measure 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 measure chart in Infoveave.

1. Drag the multi measure chart and drop it onto the designer workspace, from the chart library.
2. Click on the multi measure chart in the designer to select it.
3. With the multi measure 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 measure 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 measure chart.
7. Choose the Dimension(s) that represents the categorical values you want to display on the multi measure 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 multi measure 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 measure 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 enabling separate Y axes.