Plot time series of populations:

Dates given as AbsoluteTime specifications:

Dates given as DateString specifications:

Dates given as elided DateList specifications:

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 every 90 days, starting on January 1, 2006:

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

Dates determined by an ending date and a step:

Use ScalingFunctions to scale the axes:

Use Quantity to include units with the data:

Plot data in a QuantityArray:

Specify the units used with TargetUnits:

Plot TimeSeries directly:

Numeric values in an Association are used as the coordinates:

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

Plot data with uncertainty:

Use intervals:

Get tabular data for historical populations of several countries:

Plot the total populations of France, UK and Japan from 1940 to 2020:

Show the populations as percentages of the total:

Include legends for the plot, using the column names:

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 points with automatically positioned text:

Place the labels relative to the points:

Label data with PlotLabels:

Include legends for each curve:

Use callouts to label curves:

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:

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:

Multiple curves are automatically colored to be distinct:

Provide explicit styling to different curves:

Include legends for each dataset:

Use a theme with detailed ticks and grid lines:

Use a more stylized theme:

Use shapes to distinguish different datasets:

By default, StackedDateListPlot uses a fixed height-to-width ratio for the plot:

Make the height the same as the width with AspectRatio1:

AspectRatioFull adjusts the height and width to tightly fit inside other constructs:

By default, StackedDateListPlot uses a frame instead of axes:

Use axes instead of a frame:

Turn on each axis individually:

No axes labels are drawn by default:

Place a label on the axis:

Specify axes labels:

Use units as labels:

The position of the axes is determined automatically:

Specify an explicit origin for the axes:

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:

Prepend a year to create dates from {month,day} lists:

Define functions for interpreting ambiguous date strings:

Specify the format of date ticks as DateString elements:

Place text using a shortened DateList as the coordinate:

Fill from data points to the bottom:

Give explicit dates for horizontal ticks:

Use different date specifications:

Include a specific tick label, length and style:

Include grid lines at specific dates:

Make the first grid line Blue:

By default, uncertainties are capped:

Use bars to denote uncertainties without caps:

Use bands to represent uncertainties:

Uncertainties automatically inherit the plot style:

Specify the style for uncertainties:

Plot data with points joined by a line:

Plot multiple datasets with points joined:

Only join points for the first dataset:

By default, points are automatically labeled with strings:

Use LabelingFunction->None to suppress the labels:

Put the labels above the points:

Put them in a tooltip:

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 half 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:

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

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 coordinate callouts with the default setting PlotHighlightingAutomatic:

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

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

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

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

Move the mouse over the plot to highlight it with a slice showing date 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:

Interactive elements provided as part of the input are disabled:

Allow provided interactive elements and disable automatic ones:

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:

Use a callout to label the curve:

PlotLabelAutomatic uses keys of an Association as data labels:

Use None to not add a label:

Multiple sets are stacked by default:

Normalize the data to be percentages of the total:

PlotLegends matches up styles in the plot:

PlotLegends matches up markers in the plot:

Use a list of legend labels:

Use MetaInformation from a TimeSeries:

See the available MetaInformation:

The metal list can be extracted directly:

Visualize the data:

Use Placed to specify legend placement:

Use PointLegend to change legend appearance:

Restrict the range of dates over which to plot:

Change the theme of the plot:

Change the color scheme:

Place text using a shortened DateList as the coordinate:

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 to use:

Ticks are placed automatically in each plot:

Use TicksNone to not draw any tick marks:

Place tick marks at specific positions:

Draw tick marks at the specified positions with the specified labels:

Specify the overall tick style, including the tick labels:

Specify the tick style for each of the axes:

Specify tick marks with scaled lengths:

Customize each tick with position, length, labeling and styling: