Steps are drawn through the date points:

Plot time and event series:

Plot a series of data using an initial starting date or time:

Plot data spaced equally in time between a starting and ending date:

Plot data gathered on the 15 day of each month, starting in January:

Dates given as DateString specifications:

Use AbsoluteTime specifications:

Show multiple time series:

The plot range is selected automatically:

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:

Use Quantity to include units with the data:

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:

The weights in WeightedData are ignored:

Use a sparse array to represent the values:

Use wrappers on individual data, 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 date:

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:

Label data automatically with Callout:

Place a label with a specific location:

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:

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:

Provide an interactive Tooltip for the curve:

Use tooltips for each point:

Create filled plots:

Use shapes to distinguish different datasets:

Use a theme with simple ticks in a bold color scheme:

Use a theme with bright colors on a dark background:

Plot the data in a stacked layout:

Omit clipped regions of the plot:

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

Use PlotRange->All to not clip:

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:

By default, numeric times correspond to AbsoluteTime:

Interpret them as UnixTime:

Control how dates are formatted in labels:

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:

Fill with red to the axis:

Fill with red below the axis and with blue above:

Fill with 50% opaque orange:

Use a variable filling style obtained from ColorFunction:

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:

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:

Show seven mesh levels in the direction (red) and 10 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:

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

Add an overall label to the plot:

Specify text to label curves:

Place the label above the data:

Place the label below the data at a specific date:

PlotLabels->Automatic uses keys of an association as data labels:

Use None to not add a label:

By default, curves are overlaid on each other:

Plot the data in a stacked layout:

Generate a legend using labels:

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 text or typeset labels to distinguish datasets:

Use the same symbol for all the sets of data:

PlotRange is automatically calculated:

Show the whole dataset:

Choose the range to show:

Use different plot style directives:

By default, different styles are chosen for multiple plots:

Explicitly specify the style for different plots:

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

Change the color scheme:

Use a theme with minimal styling:

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 a scale defined by a function and its inverse:

Positions in FrameTicks and GridLines are automatically scaled:

PlotRange is automatically scaled:

Units are automatically extracted from the data:

Specify the units: