Steps are drawn through the data points:

Use , pairs:

Show multiple sets of data:

Ranges where the data is nonreal are excluded:

Specify what values the data ranges over:

Use PlotRange to focus in on areas of interest:

Use ScalingFunctions to scale the axes:

Get tabular data for historical populations of several countries:

Plot the population of France from 1940 to 2020:

Plot the populations of France, Germany and Australia:

Include legends for the plot, using the column names:

Plot all the data in TimeSeries or EventSeries:

Plot a specific component of a TimeSeries or EventSeries:

Plot multiple components:

Use Quantity to include units with the data:

Include different units for the and coordinates:

Plot data in a QuantityArray:

Specify the units used with TargetUnits:

Numeric values in an Association are used as the coordinates:

Numeric keys and values in an Association are used as the and coordinates:

Plot TimeSeries directly:

Plot data in a SparseArray:

The weights in WeightedData are ignored:

Use wrappers on datasets or collections of datasets:

Wrappers can be nested:

Use the value of each point as a tooltip:

Use a specific label for all the points:

Use PopupWindow to provide additional drilldown information:

Button can be used to trigger any action:

Use Annotation for dynamic action when the mouse enters the plot:

Use Hyperlink to jump to the specified link when clicked:

Use StatusArea to display a string in the status area of the current notebook:

Label data with Labeled:

Label data with PlotLabels:

Place the label near the points at an value:

Use a scaled position:

Specify the text position relative to the point:

Label points with automatically positioned text:

Place the labels relative to the points:

Specify the maximum size of labels:

Use the full label:

For dense sets of points, some labels may be turned into tooltips by default:

Increasing the size of the plot will show more labels:

Include legends for each curve:

Use Legended to provide a legend for a specific dataset:

Use Placed to change the legend location:

Use association keys as labels:

Plots usually have interactive callouts showing the coordinates when you mouse over them:

Including specific wrappers or interactions, such as tooltips, turns off the interactive features:

Choose from multiple interactive highlighting effects:

Use Highlighted to emphasize specific points in a plot:

Highlight multiple points:

Multiple curves are automatically colored to be distinct:

Provide explicit styling to different curves:

Include legends for each curve:

Use Legended to provide a legend for a specific dataset:

Add labels:

Provide an interactive Tooltip for the data:

Create filled plots:

Use shapes to distinguish different datasets:

Use a theme with a dark background and vibrant colors:

Plot the data in a stacked layout:

Omit clipped regions of the plot:

Show clipped regions as red at the bottom and the top:

Show clipped regions as red at the bottom and dashed at the top:

Color with a named color scheme:

Color by scaled and coordinates:

Fill with the color used for the curve:

ColorFunction has higher priority than PlotStyle for coloring the curve:

Color the line based on scaled value:

Color the line based on unscaled value:

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

Rescale to the sampling space:

DataRange refers to the points, not the steps:

Specifying DataRange in this case has no effect, since values are part of the data:

By default, pairs of numbers are interpreted as and coordinates:

Force interpretation as multiple datasets:

Add labels to each step:

Explicitly specify the filling style for different plots:

Fills that overlap combine using opacity by default:

Fill from the second curve to the first:

Fill the region between two curves with light gray:

Use red color fill:

Fill with red below the axis and with blue above:

Fill with opacity 0.5 orange:

Use a variable filling style obtained from ColorFunction:

Draw a frame around a plot:

Place labels on the left edge of the frame:

Place labels on the bottom and left frame edges:

Put grids across a plot:

Draw grid lines at the specific positions:

Use dotted grid lines:

By default, the horizontal steps are joined by vertical segments:

Use Joined->False to create a plot without the vertical segments:

Keep the first dataset joined but use just horizontal segments for the second dataset:

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:

Use Mesh->Full to show the point for each step:

Use different mesh specifications:

Use an explicit list of values for the mesh in the direction:

Specify style and mesh levels in the direction:

Show full mesh levels in the direction (red) and full mesh levels in the direction (blue):

Alternate red and blue segments of equal width in the direction:

MeshShading can be used with PlotStyle:

Use different mesh directives:

Automatically fit a model to the data:

Fit a straight line to the data:

Fit a quadratic curve to the data:

Use PowerModel to approximate the data:

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

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 when the points are not joined:

Combine the original points with red residual lines:

Plots have interactive coordinate callouts with the default setting PlotHighlightingAutomatic:

Use PlotHighlightingNone to disable the highlighting for the entire plot:

Use Highlighted[…,None] to disable highlighting for a single set:

Move the mouse over a set of points to highlight it using arbitrary graphics directives:

Move the mouse over the points to highlight them with balls and labels:

Use a ball and label to highlight a specific point of data:

Move the mouse over the curve to highlight it with a label and droplines to the axes:

Use a ball and label to highlight a specific point in the plot:

Move the mouse over the plot to highlight it with a slice showing values corresponding to the position:

Highlight a particular set of points at a fixed value:

Move the mouse over the plot to highlight it with a slice showing values corresponding to the position:

Use a component that shows the points on the plot closest to the position of the mouse cursor:

Specify the style for the points:

Use a component that shows the coordinates on the points closest to the mouse cursor:

Use Callout options to change the appearance of the label:

Combine components to create a custom effect:

Plots have interactive highlighting by default:

Turn off all the interactive elements:

Allow provided interactive elements and disable automatic ones:

Add an overall label to the plot:

Specify text to label sets of points:

Use an Association form to specify labels:

Place the labels above the points:

Use the keys from an Association as labels:

Use None to not add a label:

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:

Generate a legend using labels:

Use an Association form to specify legends:

Legends use the same styles as the plot:

Place the legend inside the plot:

Use PlotMarkers->Automatic to show the point for each step:

Automatically use colors and shapes to distinguish sets of data:

Use the same symbol for all the sets of data:

PlotRange is automatically calculated:

Show the whole dataset:

Choose the range to show:

Include 5 coordinate units of padding on each side:

Use different plot style directives:

By default, different styles are chosen for multiple plots:

Explicitly specify the style for different plots:

Use the association-based syntax to set a base style for all data:

Use a different style for each of the datasets:

Provide an overall base style as well as styles for each dataset:

Use a theme with simple styling in a bright color scheme:

Change the color scheme:

Use a theme with minimal styling:

Draw an image behind the plot:

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:

Use a reciprocal scale in the direction:

Use different scales in the and directions:

Reverse the axis without changing the axis:

Use a scale defined by a function and its inverse:

Positions in Ticks and GridLines are automatically scaled:

PlotRange and AxesOrigin are automatically scaled: