Scatter Chart

A scatter chart/plot is a data visualization that helps you trace the relationship between two numerical values/variables against a dimension. Each of the numerical axis are plotted against the horizontal (X-axis) and vertical axis(Y-Axis) and each dot represents the relationship between the two numerical values. The relationship between the data points on each axis can be described as positive, negative, strong, week, linear or nonlinear. If the datapoints are growing from the bottom-left of the chart to the top-right, then it is considered as the positive correlation. If the data points grow from the top-right of the chart to the bottom left of the chart, then it is considered as the negative correlation. If the data points do not follow any of the above traits and is scattered throughout the chart, then we can conclude that there is no or zero correlation between the numerical values.

Scatter chart also supports additional elements such as size, based on which the size of the bubble is defined. It also supports grouping to compare different values within the same chart, such as dimensions or dates to provide further context. Scatter chart/plot help analyze correlations, detect trends, and identify clusters and outliers, making them valuable in many fields.

Note

• Scatter chart displays X-Axis(measure), Y-Axis(measure), Size(measure), Dimension (dimension),, Group (dimension) and Date(date).
• Scatter chart can be used to showcase relationship between two variables, identify correlational relationships and patterns.

Scatter Chart

Note

• Always use tooltips, which can provide a better understanding of the data when moused over.
• Cluttering data points is always a bad idea since it might make things harder to read.
• Determine the minimum and maximum bubble scales using the measured value.
• Limit the number of plot points.
• When grouping is enabled, set up a legend.

Dont's

• Do not plot too many bubbles if the widget space is constrained.
• Do not use too many colors, always stick to a standard color palette matching your Infoboard theme.
• Do not add customization elements and decorations if it not contributing to the understanding of the chart.

Basic Configuration

Add and configure the scatter 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 scatter chart in Infoveave.

1. Drag the scatter chart and drop it onto the designer workspace, from the chart library.
2. Click on the scatter chart in the designer to select it.
3. With the scatter 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 scatter 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 scatter chart.
7. Choose the Dimension(s) that represents the categorical values you want to display on the scatter 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 scatter 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 scatter 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.
• X-Axis Set up the categorical axis, including labels, intervals, and range sliders.
• Y-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 defining the minimum and maximum bubble size and define the axis to be considered for bubble size.