Plot regression lines for data including units:

Plot a fit curve for a sequence of , pairs:

Plot multiple datasets with regression lines:

Get tabular data:

Plot the trend line for time to compute an edge coloring for a graph against the number of vertices:

Plot the trend of times in row order:

Plot a linear regression line:

Plot a quadratic regression line:

Plot a cubic regression line:

Plot an exponential regression line:

Plot 95% confidence bands along with the linear regression line:

Plot residual lines along with the linear regression line:

Plot data points in a specified style:

Lists of height values are displayed against the number of elements:

Rescale to the sampling space:

Each dataset is scaled to the same domain:

Use explicit values:

Fill to bottom of the plot:

By default, points are automatically labeled with strings:

Use LabelingFunction->None to suppress the labels:

Put the labels to the right of the points:

Use callouts to label the points:

Label the points with their values:

Label the points with their indices:

Textual labels are shown at their actual sizes:

Image labels are automatically resized:

Specify a maximum size for textual labels:

Specify a maximum size for image labels:

Show image labels at their natural sizes:

Labels are automatically placed to maximize readability:

Show all labels:

Use a denser layout for the labels:

Show the quarter of the labels that are easiest to read:

Only allow labels that are orthogonal to the points:

Only allow labels that are diagonal to the points:

Restrict labels to be above or to the right of the points:

Allow labels to be clipped by the edges of the plot:

By default, uncertainties are capped:

Use bars to denote uncertainties without caps:

Uncertainties automatically inherit the plot style:

Specify the style for uncertainties:

By default, all items in a plot share the same scale:

Use different axes for the different items:

Any number of axes can be used:

Have the first and second curves share an axis:

Specify where the axes should be placed:

Place shared axes as well:

Automatically fit a model to the data:

Fit a straight line 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:

Plots have interactive highlighting by default:

Turn off all the interactive elements:

By default, curves are overlaid on each other:

Plot the data in a stacked layout:

Plot the data as percentiles of the total of the values:

Place each curve in a separate panel using shared axes:

Use rows instead of columns:

Use multiple columns or rows:

Label the individual panels:

Use different style directives:

By default, different styles are chosen for multiple curves:

Explicitly specify the styles for different curves:

By default, plots have linear scales in each direction:

Use a log scale in the direction:

Use a linear scale in the direction that shows smaller numbers at the top:

DateScale ticks are used automatically for TimeSeries data:

Automatically detect units:

Specify alternate units: