◆ Using record scatter plots
A scatter-plot helps to reveal trends between two numeric attributes, or more when adding attributes to change point size and color. Each data record becomes a point (dot) positioned by the values of the two desired numeric attributes. The point appears on a higher position on the left, or vertical, axis as the attribute gets larger. Likewise, a higher value of the attribute for the bottom, or horizontal, axis moves the record point further right.
Watch below for a quick demo of a range of visual analysis features with scatter plots.
Creating a record scatter plot
Learn how to quickly add a scatter plot chart into the dashboard.
Adjusting scatter plot visualizations
A scatter plot uses point location, color, and size to visualize each record based on up to four data features.
These options enrich visual analytics capabilities in a scatterplot, beyond its core 2-axes / 2-attributes visualization characteristics.
Learn how to change key visualization settings of a scatter plot below.
Changing the axes in a scatter plot
Changing axes scale in a scatter plot: Linear / Log
Changing point sizes in a scatter plot
Changing point colors in a scatter plot
Visualizing record groups by color in a scatter plot
Navigating Scatter Plots
Panning and zooming allows you to see the bigger picture, or the smaller details.
Using Time-Series Data
Learn about analysis of data over time, selecting specific time points, and more.