Scatter Plot Chart

In this article, we will explain how to create and customize a scatter plot chart. So let's get started!

A scatter plot chart is a chart that visualizes data using a collection of points plotted on a grid. Each point represents a single data point, and the position of the point on the grid represents the values of the data point for two different variables. The x-axis represents one variable, and the y-axis represents the other variable.

Here is an example of a scatter plot chart:

This scatter plot chart shows the weight data for a group of people over a five-year period. The x-axis represents the age of the people, and the y-axis represents their weight.

Sample data:

Age (years)	Weight (Kgs)
20	60
25	70
30	75
35	80
40	85

How-to build a scatter plot chart?

1. Navigate to Add New Chart screen

2. Select data source

3. Select "Scatter Plot Chart" type from gallery

4. Configure and customize the chart to create the desired visualization.

Scatter plot chart configuration:

The configuration shown illustrates how to map the time period on the x axis and the profit and sales on the y axis in order to generate the line chart.

Scatter plot charts are often used to visualize the relationship between two different variables. They can be particularly useful for showing patterns and trends in the data, such as correlations or clusters.

Scatter plot chart customization options:

Infinity offers many customization options for your chart. To access these options, click on the customize tab in the chart builder screen. This will display a list of customization options.

Here is a list of notable customization options for the line chart.

Feature	Description
Aggregation	To create an aggregation, click on the data series chip in the data mapping section and choose the desired aggregation. There are various aggregation options available based on the data type.
Renaming the Data Series	To rename a data series, click on the data series chip in the data mapping section. A pop-up will appear, allowing you to change the name and any aggregation options.
Dual Axes or Right hand Axes	To enable dual axes, follow these steps: Click on the customization tab. Click on series. Select the series that you want to plot on the right-hand axes.
Titles	To change the titles, follow these steps: Click on the customization tab. Click on the horizontal (or) vertical axes. Proceed to change the titles. You will also have the option to modify the font attributes.
Chart Background	To change the chart background, follow these steps: Click on the customization tab. Click on the chart background. Proceed to selecting the desired color.
Padding and Zoom	To change the padding and zoom, follow these steps: Click on the customization tab. Click on the padding and zoom accordion. Proceed to customize the padding and zoom attributes for your chart.
Legend	To customize the legend, follow these steps: Click on the customization tab. Click on the legend accordion. The platform offers four legend options: top, bottom, right, or none. You can also configure the legend font here.
Axes	To customize the axes, follow these steps: Click on the customize tab. Select the desired axes (horizontal for X, vertical for Y, and right vertical for secondary Y). Proceed to changing the title, fonts, labels, order of axes, scale, or even add formatting such as $ or %.
Gridlines	To change the grid lines, follow these steps: Click on the customize tab. Select the gridlines accordion. Select the orientation (i.e. vertical or horizontal). Update/customize the count and colors of the gridlines.

There are a few useful tips to keep in mind when using scatter plot charts:

1. Make sure to clearly label the chart and include a descriptive title.

2. Use a clear and readable font for the labels and axis ticks to make it easier for readers to understand the chart.

3. Use a meaningful scale for the x-axis and y-axis to help readers understand the context of the data.

4. Use colors and patterns effectively to differentiate between different data points and to make the chart more visually appealing.

5. Use tooltips or data labels to provide more detailed information about specific data points.

There are a few situations where a scatter plot chart may not be the best choice:

1. If you have a large number of data points, the chart may become cluttered and difficult to read. In this case, you may want to consider using a different type of chart, such as a line chart or an area chart.

2. If you want to show continuous trends over time, a scatter plot chart may not be the most appropriate choice. In this case, you may want to consider using a line chart or an area chart instead.

3. If you have multiple sets of data that you want to compare, a scatter plot chart