Plot multiple datasets:

Create a smooth histogram from dates in an event series:

Create a smooth histogram from dates in an association:

Plot an association of datasets:

Use a stacked layout:

Get tabular data:

Create a smooth date histogram for the sales dates:

Use a bandwidth of one week:

Use PivotToColumns to generate columns of dates grouped by region:

Create a smooth date histogram for sales in each region:

By default, the height of the histogram displays the PDF of the date distribution:

Use the CDF as the height function:

Use the survival function as the height function:

Use one year as the bandwidth for the smooth histogram:

Use a month instead:

Use wrappers on individual datasets or collections of datasets:

Wrappers can be nested:

Use PopupWindow to provide additional drilldown information:

Button can be used to trigger any action:

Use an explicit list of styles for the lines:

Style wrapper can be used to override styles:

Use a monochrome theme:

Specify a range of interest for the plot:

Use Labeled to add a label to a dataset:

Place a label above the plot:

Place a label after the plot:

Add categorical legend entries for datasets:

Use Placed to affect the positioning of legends:

By default, axes are drawn:

Use AxesFalse to turn off axes:

Use AxesOrigin to specify where the axes intersect:

Turn each axis on individually:

No axes labels are drawn by default:

Place a label on the axis:

Specify labels for both axes:

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:

Omit clipped regions of the plot:

Show the clipped regions as dashed sections:

Show the clipped regions with red lines:

Show the clipped regions as red and thick:

Color by scaled coordinates:

Color by scaled coordinates:

Color with a named color scheme:

Fill with the color used for the curve:

ColorFunction has higher priority than PlotStyle for coloring the curve:

Use Automatic in MeshShading to use ColorFunction:

Color the line based on scaled value:

Color the line based on unscaled values:

Use the last two digits of the year to label the date axis:

Combine date elements with regular text elements:

Use symbolic or explicit values:

By default, overlapping fills combine using opacity:

Fill between curve 1 and the axis:

Fill between curves 1 and 2:

Fill between datasets using a particular style:

Fill below the curve with light gray:

Hatch the area below the curve:

Fill with opacity 0.5 orange:

Use a variable filling style obtained from a ColorFunction:

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

Specify the width of the plot:

Allow the width and height to be up to a certain 200 points wide:

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:

Specify the image size as a fraction of the available space:

Use a mesh evenly spaced in the and directions:

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

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

Use None to remove segments:

MeshShading can be used with PlotStyle:

MeshShading has higher priority than PlotStyle for styling the curve:

Use PlotStyle for some segments by setting MeshShading to Automatic:

MeshShading can be used with ColorFunction:

Color the mesh the same color as the plot:

Use a red mesh in the direction:

Use a red mesh in the direction and a blue mesh in the direction:

Use big red mesh points in the direction:

Generate a higher-quality plot:

Emphasize performance, possibly at the cost of quality:

Use the default padding around the contents of the plot:

Omit any padding around the contents:

Use 10% padding on each side:

Use no horizontal padding and the automatic vertical padding:

Use the automatic padding on the left and right, no padding on the bottom and 10% on the top:

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 curve:

Move the mouse over a curve to highlight it using arbitrary graphics directives:

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

Use a ball and label to highlight a specific point on the curve:

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

Use a ball and label to highlight a specific point on the curve:

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

Highlight the curves at a fixed value:

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

Highlight the curves at a fixed value:

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

Specify the style for the points:

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

Use Callout options to change the appearance of the label:

Combine components to create a custom effect:

Use more initial points to get a smoother curve:

PlotRange is automatically calculated:

Show the full range:

SmoothHistogram automatically chooses the plotting domain:

Plot over the middle 70% of the data:

Show the plot in purple:

Use dashing to style the plot:

Make the plot very thick:

Use Directive to combine styles for a single curve:

By default, different styles are chosen for multiple curves:

Explicitly specify the style for different curves:

PlotStyle can be combined with ColorFunction:

PlotStyle can be combined with MeshShading:

MeshStyle by default uses the same style as PlotStyle: