2D Scatter Plot

From Grapheme wiki


A scatter plot is a type of diagram using 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.

Scatter charts often are used for large data sets. The individual information is not as relevant in a scatter chart as the large-scale correlations between them. A scatter chart is typically used to show clusters of information. Rather than displaying connections like line graphs and bar charts, a scatter chart just puts information points on the axis and lets users draw their own conclusions. Scatter charts are often used in correlation to regression curves and trendlines.


As an example, to display a link between a person's lung capacity, and how long that person could hold his/her breath, a researcher would choose a group of people to study, then measure each one's lung capacity (first variable) and how long that person could hold his/her breath (second variable). The researcher would then plot the data in a scatter plot, assigning "lung capacity" to the horizontal axis, and "time holding breath" to the vertical axis.

Within Grapheme

To create a Scatter chart within Grapheme, click on 2D Charts → Scatter from the toolbar of the Chart Explorer. Assign a name to the data series, select the source table and the view of the table containing the desired data sets. Select which columns should be used to define the X and Y axes.

See also

Grapheme: 2D Scatter Plot