Get tabular data:

Create a pairwise array of scatter plots:

Use a different theme for the plot:

By default, PairwiseListPlot uses an equal height-to-width ratio:

Use a fixed height-to-width ratio:

By default, Frame is used instead of Axes:

Use AxesTrue to turn on axes:

Turn each axis on independently:

Change the style for the axes:

Specify the style of each axis:

Use different styles for the ticks and the axes:

Use different styles for the labels and the axes:

By default, PairwiseListPlot has a white background:

Set a background color:

Color by scaled and coordinates:

Color with a named color scheme:

ColorFunction has higher priority than PlotStyle for coloring:

By default, each panel plot is drawn with a frame:

Draw frames on the left and bottom edges of the panels:

Specify the style of the frame:

By default, PairwiseListPlot does not draw gridlines:

Draw a background grid:

Set a header background color:

Number the columns for unlabeled data:

Provide header names for the columns:

Use named sizes such as Tiny, Small, Medium, and Large:

Specify the width of the plot:

Specify the height of the plot:

Allow the width and height to be up to a certain size:

Specify the width and height for a graphic, padding with space if necessary:

Setting AspectRatioFull will fill the available space:

Use maximum sizes for the width and height:

Use ImageSizeFull to fill the available space in an object:

Join the dataset with a line:

Join the first dataset with a line, but use points for the second and third dataset:

Automatically fit a model to the data:

Fit a quadratic curve to the data:

Use KernelModelFit to approximate the data:

By default, the fitted model is shown with the data points:

Plot confidence bands for the data, with a default confidence level of 0.95:

Use a confidence level of 0.5 for the bands:

Show residual lines from the data points to the fitted curve:

Combine the original points with gray residual lines:

Add an overall label to the plot:

Switch the orientation of the diagonal elements:

PairwiseListPlot normally uses distinct colors to distinguish different sets of data:

Automatically use colors and shapes to distinguish sets of data:

Use shapes only:

Change the size of the default plot markers:

Use arbitrary text for plot markers:

Use explicit graphics for plot markers:

Use the same symbol for all the sets of data:

Explicitly use a symbol and size:

PlotRange is automatically calculated:

Use a custom PlotRange:

Show the whole dataset:

Include the full range of the original data:

Style the data using PlotStyle:

By default, different styles are chosen for multiple datasets:

Explicitly specify the style for different datasets:

Use a theme with simple ticks and gridlines in a bright color scheme:

Change the color scheme:

Change the space between the plots: