Scatter Chart
Introduction
Chart Introduction
A scatter chart, also called a scatter plot, can show the relationship between two variables. It uses Cartesian coordinates to display values for two variables for a set of data. The data is displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis.
It displays the relationship between the values in several data series, suggesting various kinds of correlations between variables.
Application Scenarios
Scatter charts are usually used to display and compare values. A series of scatter points are used to display the numerical distribution of variables in a Cartesian coordinate system. The relationship and correlation between the variables can be found through observation.
- Advantages: It clearly displays the overall relationship trend between the influencing factors and forecast objects, and reflects the change relationship between variables through eye-catching graphics, to simulate the relationship between variables.
- Disadvantages: It looks messy and shows basically the correlation, distribution, and aggregation. Meanwhile, it requires a great number of data points and a correlation between the data to present results clearly.
Basic Requirements
Requirements for the number of measures and dimensions of a scatter chart are:
Dimension | Measure |
≤ Two | Two |
Preview
The following image shows the distribution of a group of people's height and weight. Green represents female and blue male.
Plan Description
This is a paid feature. For details, see Understand Your Account Usage and Limits.
Setting Procedure
Preparing the Data Source
1. Create a form
Visit an app, click New > New Form > Create from Excel.
2. Import sample data
Import the sample data: Weight & Height Distribution.xlsx
3. Adjust the field type
When importing data, match the field types according to the following image and click Import.
Creating a Chart
1. Create a dashboard
Go back to the app page and click New > New Dashboard.
2. Select the data source
Click Stats, select Weight & Height Distribution as the data source, and click OK.
3. Setting and Selecting the Chart
Rename the chart, set Access to All Form Data, and select Scatter Chart as the chart type.
Setting Dimensions and Measures
Drag dimensions and measures to the positions shown in the image below:
Configuring Settings
In the Settings area, you can further set the content related to the chart.
1. For example, you can set Label Field.
Since the scatter chart is composed of many data points, if data labels are displayed for each data point, the chart will appear very messy. Therefore, you need to disable Show Data Label under Label Field.
2. Other Settings
For details, see Settings.
Designing the Chart Style
Click Style and go to Chart Color > Settings to set the visual style of the chart.
Select the color needed and click OK. Then click Save and the back button to go back to the dashboard design page.
Demonstration
Drop and drag the lower right corner of the chart to set the chart size.
1. On PC
2. On Mobile
Notes
1. A data point is controlled by the two indicators of X-axis and Y-axis, so sorting the data will not change the data position.
2. If the chart uses two dimensions and the color of each dimension is set, the color of the data may change after sorting.