Logo Plotly.NET

Chart Type

Namespace: Plotly.NET
Assembly: Plotly.NET.dll
Parent Module: Chart2D_Distribution
Base Type: obj

Static members

Static member Description

Chart.BoxPlot(xy, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?MarkerColor, ?Marker, ?Opacity, ?WhiskerWidth, ?BoxPoints, ?BoxMean, ?Jitter, ?PointPos, ?Orientation, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?Notched, ?NotchWidth, ?QuartileMethod, ?SizeMode, ?UseDefaults)

Full Usage: Chart.BoxPlot(xy, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?MarkerColor, ?Marker, ?Opacity, ?WhiskerWidth, ?BoxPoints, ?BoxMean, ?Jitter, ?PointPos, ?Orientation, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?Notched, ?NotchWidth, ?QuartileMethod, ?SizeMode, ?UseDefaults)

Parameters:
    xy : ('a * 'b) seq - Sets the xy sample data or coordinate pairs
    ?Name : string - Sets the trace name. The trace name appear as the legend item and on hover.
    ?ShowLegend : bool - Determines whether or not an item corresponding to this trace is shown in the legend.
    ?Text : 'c - Sets a text associated with each datum
    ?MultiText : 'c seq - Sets individual text for each datum
    ?FillColor : Color - Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
    ?MarkerColor : Color - Sets the marker color.
    ?Marker : Marker - Sets the marker for the box (use this for more finegrained control than the other marker-associated arguments).
    ?Opacity : float - Sets the opacity of this trace.
    ?WhiskerWidth : float - Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es).
    ?BoxPoints : BoxPoints - If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the box(es) are shown with no sample points Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set. Defaults to "all" under the q1/median/q3 signature. Otherwise defaults to "outliers".
    ?BoxMean : BoxMean - If "true", the mean of the box(es)' underlying distribution is drawn as a dashed line inside the box(es). If "sd" the standard deviation is also drawn. Defaults to "true" when `mean` is set. Defaults to "sd" when `sd` is set Otherwise defaults to "false".
    ?Jitter : float - Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).
    ?PointPos : float - Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes
    ?Orientation : Orientation - Sets the orientation of the box(es). If "v" ("h"), the distribution is visualized along the vertical (horizontal).
    ?OutlineColor : Color - Sets the color of the box outline
    ?OutlineWidth : float - Sets the width of the box outline
    ?Outline : Line - Sets the box outline (use this for more finegrained control than the other outline-associated arguments).
    ?AlignmentGroup : string - Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
    ?OffsetGroup : string - Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
    ?Notched : bool - Determines whether or not notches are drawn. Notches displays a confidence interval around the median. We compute the confidence interval as median +/- 1.57 " IQR / sqrt(N), where IQR is the interquartile range and N is the sample size. If two boxes' notches do not overlap there is 95% confidence their medians differ. See https://sites.google.com/site/davidsstatistics/home/notched-box-plots for more info. Defaults to "false" unless `notchwidth` or `notchspan` is set.
    ?NotchWidth : float - Sets the width of the notches relative to the box' width. For example, with 0, the notches are as wide as the box(es).
    ?QuartileMethod : QuartileMethod - Sets the method used to compute the sample's Q1 and Q3 quartiles. The "linear" method uses the 25th percentile for Q1 and 75th percentile for Q3 as computed using method #10 (listed on http://www.amstat.org/publications/jse/v14n3/langford.html). The "exclusive" method uses the median to divide the ordered dataset into two halves if the sample is odd, it does not include the median in either half - Q1 is then the median of the lower half and Q3 the median of the upper half. The "inclusive" method also uses the median to divide the ordered dataset into two halves but if the sample is odd, it includes the median in both halves - Q1 is then the median of the lower half and Q3 the median of the upper half.
    ?SizeMode : BoxSizeMode - Sets the upper and lower bound for the boxes quartiles means box is drawn between Q1 and Q3 SD means the box is drawn between Mean +- Standard Deviation Argument sdmultiple (default 1) to scale the box size So it could be drawn 1-stddev, 3-stddev etc
    ?UseDefaults : bool - If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart
Type parameters: 'a, 'b, 'c (requires :> System.IConvertible and :> System.IConvertible and :> System.IConvertible)

Visualizes the distribution of the input data as a box plot. A box plot is a method for graphically demonstrating the locality, spread and skewness groups of numerical data through their quartiles. The default style is based on the five number summary: minimum, first quartile, median, third quartile, and maximum. The sample data from which statistics are computed is set in `x` for vertically spanning boxes and in `y` for horizontally spanning boxes.

xy : ('a * 'b) seq

Sets the xy sample data or coordinate pairs

?Name : string

Sets the trace name. The trace name appear as the legend item and on hover.

?ShowLegend : bool

Determines whether or not an item corresponding to this trace is shown in the legend.

?Text : 'c

Sets a text associated with each datum

?MultiText : 'c seq

Sets individual text for each datum

?FillColor : Color

Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.

?MarkerColor : Color

Sets the marker color.

?Marker : Marker

Sets the marker for the box (use this for more finegrained control than the other marker-associated arguments).

?Opacity : float

Sets the opacity of this trace.

?WhiskerWidth : float

Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es).

?BoxPoints : BoxPoints

If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the box(es) are shown with no sample points Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set. Defaults to "all" under the q1/median/q3 signature. Otherwise defaults to "outliers".

?BoxMean : BoxMean

If "true", the mean of the box(es)' underlying distribution is drawn as a dashed line inside the box(es). If "sd" the standard deviation is also drawn. Defaults to "true" when `mean` is set. Defaults to "sd" when `sd` is set Otherwise defaults to "false".

?Jitter : float

Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).

?PointPos : float

Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes

?Orientation : Orientation

Sets the orientation of the box(es). If "v" ("h"), the distribution is visualized along the vertical (horizontal).

?OutlineColor : Color

Sets the color of the box outline

?OutlineWidth : float

Sets the width of the box outline

?Outline : Line

Sets the box outline (use this for more finegrained control than the other outline-associated arguments).

?AlignmentGroup : string

Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.

?OffsetGroup : string

Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.

?Notched : bool

Determines whether or not notches are drawn. Notches displays a confidence interval around the median. We compute the confidence interval as median +/- 1.57 " IQR / sqrt(N), where IQR is the interquartile range and N is the sample size. If two boxes' notches do not overlap there is 95% confidence their medians differ. See https://sites.google.com/site/davidsstatistics/home/notched-box-plots for more info. Defaults to "false" unless `notchwidth` or `notchspan` is set.

?NotchWidth : float

Sets the width of the notches relative to the box' width. For example, with 0, the notches are as wide as the box(es).

?QuartileMethod : QuartileMethod

Sets the method used to compute the sample's Q1 and Q3 quartiles. The "linear" method uses the 25th percentile for Q1 and 75th percentile for Q3 as computed using method #10 (listed on http://www.amstat.org/publications/jse/v14n3/langford.html). The "exclusive" method uses the median to divide the ordered dataset into two halves if the sample is odd, it does not include the median in either half - Q1 is then the median of the lower half and Q3 the median of the upper half. The "inclusive" method also uses the median to divide the ordered dataset into two halves but if the sample is odd, it includes the median in both halves - Q1 is then the median of the lower half and Q3 the median of the upper half.

?SizeMode : BoxSizeMode

Sets the upper and lower bound for the boxes quartiles means box is drawn between Q1 and Q3 SD means the box is drawn between Mean +- Standard Deviation Argument sdmultiple (default 1) to scale the box size So it could be drawn 1-stddev, 3-stddev etc

?UseDefaults : bool

If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart

Chart.BoxPlot(dataEncoded, orientation, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?MarkerColor, ?Marker, ?Opacity, ?WhiskerWidth, ?BoxPoints, ?BoxMean, ?Jitter, ?PointPos, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?Notched, ?NotchWidth, ?QuartileMethod, ?SizeMode, ?UseDefaults)

Full Usage: Chart.BoxPlot(dataEncoded, orientation, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?MarkerColor, ?Marker, ?Opacity, ?WhiskerWidth, ?BoxPoints, ?BoxMean, ?Jitter, ?PointPos, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?Notched, ?NotchWidth, ?QuartileMethod, ?SizeMode, ?UseDefaults)

Parameters:
    dataEncoded : EncodedTypedArray - Sets the sample data or coordinates as an encoded typed array.
    orientation : Orientation - Sets the orientation of the box.
    ?Name : string - Sets the trace name. The trace name appear as the legend item and on hover.
    ?ShowLegend : bool - Determines whether or not an item corresponding to this trace is shown in the legend.
    ?Text : 'a - Sets a text associated with each datum
    ?MultiText : 'a seq - Sets individual text for each datum
    ?FillColor : Color - Sets the fill color.
    ?MarkerColor : Color - Sets the marker color.
    ?Marker : Marker - Sets the marker for the box.
    ?Opacity : float - Sets the opacity of this trace.
    ?WhiskerWidth : float - Sets the width of the whiskers relative to the box' width.
    ?BoxPoints : BoxPoints - Controls which sample points are shown.
    ?BoxMean : BoxMean - Controls whether and how the mean is displayed.
    ?Jitter : float - Sets the amount of jitter in the sample points drawn.
    ?PointPos : float - Sets the position of the sample points in relation to the box(es).
    ?OutlineColor : Color - Sets the color of the box outline
    ?OutlineWidth : float - Sets the width of the box outline
    ?Outline : Line - Sets the box outline.
    ?AlignmentGroup : string - Set several traces linked to the same position axis or matching axes to the same alignmentgroup.
    ?OffsetGroup : string - Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
    ?Notched : bool - Determines whether or not notches are drawn.
    ?NotchWidth : float - Sets the width of the notches relative to the box' width.
    ?QuartileMethod : QuartileMethod - Sets the method used to compute the sample's Q1 and Q3 quartiles.
    ?SizeMode : BoxSizeMode - Sets how box sizes are derived.
    ?UseDefaults : bool - If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart
Type parameters: 'a (requires :> System.IConvertible)

Visualizes the distribution of the input data as a box plot using an encoded typed array.

dataEncoded : EncodedTypedArray

Sets the sample data or coordinates as an encoded typed array.

orientation : Orientation

Sets the orientation of the box.

?Name : string

Sets the trace name. The trace name appear as the legend item and on hover.

?ShowLegend : bool

Determines whether or not an item corresponding to this trace is shown in the legend.

?Text : 'a

Sets a text associated with each datum

?MultiText : 'a seq

Sets individual text for each datum

?FillColor : Color

Sets the fill color.

?MarkerColor : Color

Sets the marker color.

?Marker : Marker

Sets the marker for the box.

?Opacity : float

Sets the opacity of this trace.

?WhiskerWidth : float

Sets the width of the whiskers relative to the box' width.

?BoxPoints : BoxPoints

Controls which sample points are shown.

?BoxMean : BoxMean

Controls whether and how the mean is displayed.

?Jitter : float

Sets the amount of jitter in the sample points drawn.

?PointPos : float

Sets the position of the sample points in relation to the box(es).

?OutlineColor : Color

Sets the color of the box outline

?OutlineWidth : float

Sets the width of the box outline

?Outline : Line

Sets the box outline.

?AlignmentGroup : string

Set several traces linked to the same position axis or matching axes to the same alignmentgroup.

?OffsetGroup : string

Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.

?Notched : bool

Determines whether or not notches are drawn.

?NotchWidth : float

Sets the width of the notches relative to the box' width.

?QuartileMethod : QuartileMethod

Sets the method used to compute the sample's Q1 and Q3 quartiles.

?SizeMode : BoxSizeMode

Sets how box sizes are derived.

?UseDefaults : bool

If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart

Chart.BoxPlot(data, orientation, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?MarkerColor, ?Marker, ?Opacity, ?WhiskerWidth, ?BoxPoints, ?BoxMean, ?Jitter, ?PointPos, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?Notched, ?NotchWidth, ?QuartileMethod, ?SizeMode, ?UseDefaults)

Full Usage: Chart.BoxPlot(data, orientation, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?MarkerColor, ?Marker, ?Opacity, ?WhiskerWidth, ?BoxPoints, ?BoxMean, ?Jitter, ?PointPos, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?Notched, ?NotchWidth, ?QuartileMethod, ?SizeMode, ?UseDefaults)

Parameters:
    data : 'a seq - Sets the sample data or coordinates
    orientation : Orientation - Sets the orientation of the box.
    ?Name : string - Sets the trace name. The trace name appear as the legend item and on hover.
    ?ShowLegend : bool - Determines whether or not an item corresponding to this trace is shown in the legend.
    ?Text : 'b - Sets a text associated with each datum
    ?MultiText : 'b seq - Sets individual text for each datum
    ?FillColor : Color - Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
    ?MarkerColor : Color - Sets the marker color.
    ?Marker : Marker - Sets the marker for the box (use this for more finegrained control than the other marker-associated arguments).
    ?Opacity : float - Sets the opacity of this trace.
    ?WhiskerWidth : float - Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es).
    ?BoxPoints : BoxPoints - If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the box(es) are shown with no sample points Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set. Defaults to "all" under the q1/median/q3 signature. Otherwise defaults to "outliers".
    ?BoxMean : BoxMean - If "true", the mean of the box(es)' underlying distribution is drawn as a dashed line inside the box(es). If "sd" the standard deviation is also drawn. Defaults to "true" when `mean` is set. Defaults to "sd" when `sd` is set Otherwise defaults to "false".
    ?Jitter : float - Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).
    ?PointPos : float - Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes
    ?OutlineColor : Color - Sets the color of the box outline
    ?OutlineWidth : float - Sets the width of the box outline
    ?Outline : Line - Sets the box outline (use this for more finegrained control than the other outline-associated arguments).
    ?AlignmentGroup : string - Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
    ?OffsetGroup : string - Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
    ?Notched : bool - Determines whether or not notches are drawn. Notches displays a confidence interval around the median. We compute the confidence interval as median +/- 1.57 " IQR / sqrt(N), where IQR is the interquartile range and N is the sample size. If two boxes' notches do not overlap there is 95% confidence their medians differ. See https://sites.google.com/site/davidsstatistics/home/notched-box-plots for more info. Defaults to "false" unless `notchwidth` or `notchspan` is set.
    ?NotchWidth : float - Sets the width of the notches relative to the box' width. For example, with 0, the notches are as wide as the box(es).
    ?QuartileMethod : QuartileMethod - Sets the method used to compute the sample's Q1 and Q3 quartiles. The "linear" method uses the 25th percentile for Q1 and 75th percentile for Q3 as computed using method #10 (listed on http://www.amstat.org/publications/jse/v14n3/langford.html). The "exclusive" method uses the median to divide the ordered dataset into two halves if the sample is odd, it does not include the median in either half - Q1 is then the median of the lower half and Q3 the median of the upper half. The "inclusive" method also uses the median to divide the ordered dataset into two halves but if the sample is odd, it includes the median in both halves - Q1 is then the median of the lower half and Q3 the median of the upper half.
    ?SizeMode : BoxSizeMode - Sets the upper and lower bound for the boxes quartiles means box is drawn between Q1 and Q3 SD means the box is drawn between Mean +- Standard Deviation Argument sdmultiple (default 1) to scale the box size So it could be drawn 1-stddev, 3-stddev etc
    ?UseDefaults : bool - If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart
Type parameters: 'a, 'b (requires :> System.IConvertible and :> System.IConvertible)

Visualizes the distribution of the input data as a box plot. A box plot is a method for graphically demonstrating the locality, spread and skewness groups of numerical data through their quartiles. The default style is based on the five number summary: minimum, first quartile, median, third quartile, and maximum. The sample data from which statistics are computed is set in `x` for vertically spanning boxes and in `y` for horizontally spanning boxes.

data : 'a seq

Sets the sample data or coordinates

orientation : Orientation

Sets the orientation of the box.

?Name : string

Sets the trace name. The trace name appear as the legend item and on hover.

?ShowLegend : bool

Determines whether or not an item corresponding to this trace is shown in the legend.

?Text : 'b

Sets a text associated with each datum

?MultiText : 'b seq

Sets individual text for each datum

?FillColor : Color

Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.

?MarkerColor : Color

Sets the marker color.

?Marker : Marker

Sets the marker for the box (use this for more finegrained control than the other marker-associated arguments).

?Opacity : float

Sets the opacity of this trace.

?WhiskerWidth : float

Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es).

?BoxPoints : BoxPoints

If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the box(es) are shown with no sample points Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set. Defaults to "all" under the q1/median/q3 signature. Otherwise defaults to "outliers".

?BoxMean : BoxMean

If "true", the mean of the box(es)' underlying distribution is drawn as a dashed line inside the box(es). If "sd" the standard deviation is also drawn. Defaults to "true" when `mean` is set. Defaults to "sd" when `sd` is set Otherwise defaults to "false".

?Jitter : float

Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).

?PointPos : float

Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes

?OutlineColor : Color

Sets the color of the box outline

?OutlineWidth : float

Sets the width of the box outline

?Outline : Line

Sets the box outline (use this for more finegrained control than the other outline-associated arguments).

?AlignmentGroup : string

Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.

?OffsetGroup : string

Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.

?Notched : bool

Determines whether or not notches are drawn. Notches displays a confidence interval around the median. We compute the confidence interval as median +/- 1.57 " IQR / sqrt(N), where IQR is the interquartile range and N is the sample size. If two boxes' notches do not overlap there is 95% confidence their medians differ. See https://sites.google.com/site/davidsstatistics/home/notched-box-plots for more info. Defaults to "false" unless `notchwidth` or `notchspan` is set.

?NotchWidth : float

Sets the width of the notches relative to the box' width. For example, with 0, the notches are as wide as the box(es).

?QuartileMethod : QuartileMethod

Sets the method used to compute the sample's Q1 and Q3 quartiles. The "linear" method uses the 25th percentile for Q1 and 75th percentile for Q3 as computed using method #10 (listed on http://www.amstat.org/publications/jse/v14n3/langford.html). The "exclusive" method uses the median to divide the ordered dataset into two halves if the sample is odd, it does not include the median in either half - Q1 is then the median of the lower half and Q3 the median of the upper half. The "inclusive" method also uses the median to divide the ordered dataset into two halves but if the sample is odd, it includes the median in both halves - Q1 is then the median of the lower half and Q3 the median of the upper half.

?SizeMode : BoxSizeMode

Sets the upper and lower bound for the boxes quartiles means box is drawn between Q1 and Q3 SD means the box is drawn between Mean +- Standard Deviation Argument sdmultiple (default 1) to scale the box size So it could be drawn 1-stddev, 3-stddev etc

?UseDefaults : bool

If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart

Chart.BoxPlot(?X, ?MultiX, ?Y, ?MultiY, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?MarkerColor, ?Marker, ?Opacity, ?WhiskerWidth, ?BoxPoints, ?BoxMean, ?Jitter, ?PointPos, ?Orientation, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?Notched, ?NotchWidth, ?QuartileMethod, ?SizeMode, ?UseDefaults)

Full Usage: Chart.BoxPlot(?X, ?MultiX, ?Y, ?MultiY, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?MarkerColor, ?Marker, ?Opacity, ?WhiskerWidth, ?BoxPoints, ?BoxMean, ?Jitter, ?PointPos, ?Orientation, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?Notched, ?NotchWidth, ?QuartileMethod, ?SizeMode, ?UseDefaults)

Parameters:
    ?X : 'a seq - Sets the x sample data or coordinates
    ?MultiX : 'a seq seq - Sets the x sample data or coordinates. Use two inner arrays here to plot multicategorial data
    ?Y : 'b seq - Sets the y sample data or coordinates
    ?MultiY : 'b seq seq - Sets the y sample data or coordinates. Use two inner arrays here to plot multicategorial data
    ?Name : string - Sets the trace name. The trace name appear as the legend item and on hover.
    ?ShowLegend : bool - Determines whether or not an item corresponding to this trace is shown in the legend.
    ?Text : 'c - Sets a text associated with each datum
    ?MultiText : 'c seq - Sets individual text for each datum
    ?FillColor : Color - Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
    ?MarkerColor : Color - Sets the marker color.
    ?Marker : Marker - Sets the marker for the box (use this for more finegrained control than the other marker-associated arguments).
    ?Opacity : float - Sets the opacity of this trace.
    ?WhiskerWidth : float - Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es).
    ?BoxPoints : BoxPoints - If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the box(es) are shown with no sample points Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set. Defaults to "all" under the q1/median/q3 signature. Otherwise defaults to "outliers".
    ?BoxMean : BoxMean - If "true", the mean of the box(es)' underlying distribution is drawn as a dashed line inside the box(es). If "sd" the standard deviation is also drawn. Defaults to "true" when `mean` is set. Defaults to "sd" when `sd` is set Otherwise defaults to "false".
    ?Jitter : float - Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).
    ?PointPos : float - Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes
    ?Orientation : Orientation - Sets the orientation of the box(es). If "v" ("h"), the distribution is visualized along the vertical (horizontal).
    ?OutlineColor : Color - Sets the color of the box outline
    ?OutlineWidth : float - Sets the width of the box outline
    ?Outline : Line - Sets the box outline (use this for more finegrained control than the other outline-associated arguments).
    ?AlignmentGroup : string - Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
    ?OffsetGroup : string - Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
    ?Notched : bool - Determines whether or not notches are drawn. Notches displays a confidence interval around the median. We compute the confidence interval as median +/- 1.57 " IQR / sqrt(N), where IQR is the interquartile range and N is the sample size. If two boxes' notches do not overlap there is 95% confidence their medians differ. See https://sites.google.com/site/davidsstatistics/home/notched-box-plots for more info. Defaults to "false" unless `notchwidth` or `notchspan` is set.
    ?NotchWidth : float - Sets the width of the notches relative to the box' width. For example, with 0, the notches are as wide as the box(es).
    ?QuartileMethod : QuartileMethod - Sets the method used to compute the sample's Q1 and Q3 quartiles. The "linear" method uses the 25th percentile for Q1 and 75th percentile for Q3 as computed using method #10 (listed on http://www.amstat.org/publications/jse/v14n3/langford.html). The "exclusive" method uses the median to divide the ordered dataset into two halves if the sample is odd, it does not include the median in either half - Q1 is then the median of the lower half and Q3 the median of the upper half. The "inclusive" method also uses the median to divide the ordered dataset into two halves but if the sample is odd, it includes the median in both halves - Q1 is then the median of the lower half and Q3 the median of the upper half.
    ?SizeMode : BoxSizeMode - Sets the upper and lower bound for the boxes quartiles means box is drawn between Q1 and Q3 SD means the box is drawn between Mean +- Standard Deviation Argument sdmultiple (default 1) to scale the box size So it could be drawn 1-stddev, 3-stddev etc
    ?UseDefaults : bool - If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart
Type parameters: 'a, 'b, 'c (requires :> System.IConvertible and :> System.IConvertible and :> System.IConvertible)

Visualizes the distribution of the input data as a box plot. A box plot is a method for graphically demonstrating the locality, spread and skewness groups of numerical data through their quartiles. The default style is based on the five number summary: minimum, first quartile, median, third quartile, and maximum. The sample data from which statistics are computed is set in `x` for vertically spanning boxes and in `y` for horizontally spanning boxes.

?X : 'a seq

Sets the x sample data or coordinates

?MultiX : 'a seq seq

Sets the x sample data or coordinates. Use two inner arrays here to plot multicategorial data

?Y : 'b seq

Sets the y sample data or coordinates

?MultiY : 'b seq seq

Sets the y sample data or coordinates. Use two inner arrays here to plot multicategorial data

?Name : string

Sets the trace name. The trace name appear as the legend item and on hover.

?ShowLegend : bool

Determines whether or not an item corresponding to this trace is shown in the legend.

?Text : 'c

Sets a text associated with each datum

?MultiText : 'c seq

Sets individual text for each datum

?FillColor : Color

Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.

?MarkerColor : Color

Sets the marker color.

?Marker : Marker

Sets the marker for the box (use this for more finegrained control than the other marker-associated arguments).

?Opacity : float

Sets the opacity of this trace.

?WhiskerWidth : float

Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es).

?BoxPoints : BoxPoints

If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the box(es) are shown with no sample points Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set. Defaults to "all" under the q1/median/q3 signature. Otherwise defaults to "outliers".

?BoxMean : BoxMean

If "true", the mean of the box(es)' underlying distribution is drawn as a dashed line inside the box(es). If "sd" the standard deviation is also drawn. Defaults to "true" when `mean` is set. Defaults to "sd" when `sd` is set Otherwise defaults to "false".

?Jitter : float

Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).

?PointPos : float

Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes

?Orientation : Orientation

Sets the orientation of the box(es). If "v" ("h"), the distribution is visualized along the vertical (horizontal).

?OutlineColor : Color

Sets the color of the box outline

?OutlineWidth : float

Sets the width of the box outline

?Outline : Line

Sets the box outline (use this for more finegrained control than the other outline-associated arguments).

?AlignmentGroup : string

Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.

?OffsetGroup : string

Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.

?Notched : bool

Determines whether or not notches are drawn. Notches displays a confidence interval around the median. We compute the confidence interval as median +/- 1.57 " IQR / sqrt(N), where IQR is the interquartile range and N is the sample size. If two boxes' notches do not overlap there is 95% confidence their medians differ. See https://sites.google.com/site/davidsstatistics/home/notched-box-plots for more info. Defaults to "false" unless `notchwidth` or `notchspan` is set.

?NotchWidth : float

Sets the width of the notches relative to the box' width. For example, with 0, the notches are as wide as the box(es).

?QuartileMethod : QuartileMethod

Sets the method used to compute the sample's Q1 and Q3 quartiles. The "linear" method uses the 25th percentile for Q1 and 75th percentile for Q3 as computed using method #10 (listed on http://www.amstat.org/publications/jse/v14n3/langford.html). The "exclusive" method uses the median to divide the ordered dataset into two halves if the sample is odd, it does not include the median in either half - Q1 is then the median of the lower half and Q3 the median of the upper half. The "inclusive" method also uses the median to divide the ordered dataset into two halves but if the sample is odd, it includes the median in both halves - Q1 is then the median of the lower half and Q3 the median of the upper half.

?SizeMode : BoxSizeMode

Sets the upper and lower bound for the boxes quartiles means box is drawn between Q1 and Q3 SD means the box is drawn between Mean +- Standard Deviation Argument sdmultiple (default 1) to scale the box size So it could be drawn 1-stddev, 3-stddev etc

?UseDefaults : bool

If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart

Chart.Violin(xy, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?Opacity, ?Points, ?Jitter, ?PointPos, ?Orientation, ?Width, ?MarkerColor, ?Marker, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?ShowBox, ?BoxWidth, ?BoxFillColor, ?Box, ?BandWidth, ?MeanLine, ?ScaleGroup, ?ScaleMode, ?Side, ?Span, ?SpanMode, ?UseDefaults)

Full Usage: Chart.Violin(xy, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?Opacity, ?Points, ?Jitter, ?PointPos, ?Orientation, ?Width, ?MarkerColor, ?Marker, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?ShowBox, ?BoxWidth, ?BoxFillColor, ?Box, ?BandWidth, ?MeanLine, ?ScaleGroup, ?ScaleMode, ?Side, ?Span, ?SpanMode, ?UseDefaults)

Parameters:
    xy : ('a * 'b) seq - Sets the xy sample data or coordinate pairs
    ?Name : string - Sets the trace name. The trace name appear as the legend item and on hover.
    ?ShowLegend : bool - Determines whether or not an item corresponding to this trace is shown in the legend.
    ?Text : 'c - Sets a text associated with each datum
    ?MultiText : 'c seq - Sets individual text for each datum
    ?FillColor : Color - Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
    ?Opacity : float - Sets the Opacity otf the trace.
    ?Points : JitterPoints - If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the violins are shown with no sample points. Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set, otherwise defaults to "outliers".
    ?Jitter : float - Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).
    ?PointPos : float - Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes
    ?Orientation : Orientation - Sets the orientation of the violin(s). If "v" ("h"), the distribution is visualized along the vertical (horizontal).
    ?Width : float - Sets the width of the violin in data coordinates. If "0" (default value) the width is automatically selected based on the positions of other violin traces in the same subplot.
    ?MarkerColor : Color - Sets the marker color.
    ?Marker : Marker - Sets the marker for the violin (use this for more finegrained control than the other marker-associated arguments).
    ?OutlineColor : Color - Sets the color of the box outline
    ?OutlineWidth : float - Sets the width of the box outline
    ?Outline : Line - Sets the box outline (use this for more finegrained control than the other outline-associated arguments).
    ?AlignmentGroup : string - Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
    ?OffsetGroup : string - Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
    ?ShowBox : bool - Whether and how to draw a miniature box plot
    ?BoxWidth : float - Sets the width of the miniature box plot
    ?BoxFillColor : Color - Sets the fill color of the miniature box plot
    ?Box : Box - Sets the styles of the miniature box plot (use this for more finegrained control than the other box-associated arguments)
    ?BandWidth : float - Sets the bandwidth used to compute the kernel density estimate. By default, the bandwidth is determined by Silverman's rule of thumb.
    ?MeanLine : MeanLine - Whether and how to draw the meanline
    ?ScaleGroup : string - If there are multiple violins that should be sized according to to some metric (see `scalemode`), link them by providing a non-empty group id here shared by every trace in the same group. If a violin's `width` is undefined, `scalegroup` will default to the trace's name. In this case, violins with the same names will be linked together
    ?ScaleMode : ScaleMode - Sets the metric by which the width of each violin is determined."width" means each violin has the same (max) width"count" means the violins are scaled by the number of sample points makingup each violin.
    ?Side : ViolinSide - Determines on which side of the position value the density function making up one half of a violin is plotted. Useful when comparing two violin traces under "overlay" mode, where one trace has `side` set to "positive" and the other to "negative".
    ?Span : Range - Sets the span in data space for which the density function will be computed. Has an effect only when `spanmode` is set to "manual".
    ?SpanMode : SpanMode - Sets the method by which the span in data space where the density function will be computed. "soft" means the span goes from the sample's minimum value minus two bandwidths to the sample's maximum value plus two bandwidths. "hard" means the span goes from the sample's minimum to its maximum value. For custom span settings, use mode "manual" and fill in the `span` attribute.
    ?UseDefaults : bool - If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart
Type parameters: 'a, 'b, 'c (requires :> System.IConvertible and :> System.IConvertible and :> System.IConvertible)

Visualizes the distribution of the input data as a violin plot. A violin plot is a method of plotting numeric data. It is similar to a box plot, except that they also show the probability density of the data at different values, usually smoothed by a kernel density estimator. In vertical (horizontal) violin plots, statistics are computed using `y` (`x`) values. By supplying an `x` (`y`) array, one violin per distinct x (y) value is drawn If no `x` (`y`) array is provided, a single violin is drawn. That violin position is then positioned with with `name` or with `x0` (`y0`) if provided.

xy : ('a * 'b) seq

Sets the xy sample data or coordinate pairs

?Name : string

Sets the trace name. The trace name appear as the legend item and on hover.

?ShowLegend : bool

Determines whether or not an item corresponding to this trace is shown in the legend.

?Text : 'c

Sets a text associated with each datum

?MultiText : 'c seq

Sets individual text for each datum

?FillColor : Color

Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.

?Opacity : float

Sets the Opacity otf the trace.

?Points : JitterPoints

If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the violins are shown with no sample points. Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set, otherwise defaults to "outliers".

?Jitter : float

Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).

?PointPos : float

Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes

?Orientation : Orientation

Sets the orientation of the violin(s). If "v" ("h"), the distribution is visualized along the vertical (horizontal).

?Width : float

Sets the width of the violin in data coordinates. If "0" (default value) the width is automatically selected based on the positions of other violin traces in the same subplot.

?MarkerColor : Color

Sets the marker color.

?Marker : Marker

Sets the marker for the violin (use this for more finegrained control than the other marker-associated arguments).

?OutlineColor : Color

Sets the color of the box outline

?OutlineWidth : float

Sets the width of the box outline

?Outline : Line

Sets the box outline (use this for more finegrained control than the other outline-associated arguments).

?AlignmentGroup : string

Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.

?OffsetGroup : string

Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.

?ShowBox : bool

Whether and how to draw a miniature box plot

?BoxWidth : float

Sets the width of the miniature box plot

?BoxFillColor : Color

Sets the fill color of the miniature box plot

?Box : Box

Sets the styles of the miniature box plot (use this for more finegrained control than the other box-associated arguments)

?BandWidth : float

Sets the bandwidth used to compute the kernel density estimate. By default, the bandwidth is determined by Silverman's rule of thumb.

?MeanLine : MeanLine

Whether and how to draw the meanline

?ScaleGroup : string

If there are multiple violins that should be sized according to to some metric (see `scalemode`), link them by providing a non-empty group id here shared by every trace in the same group. If a violin's `width` is undefined, `scalegroup` will default to the trace's name. In this case, violins with the same names will be linked together

?ScaleMode : ScaleMode

Sets the metric by which the width of each violin is determined."width" means each violin has the same (max) width"count" means the violins are scaled by the number of sample points makingup each violin.

?Side : ViolinSide

Determines on which side of the position value the density function making up one half of a violin is plotted. Useful when comparing two violin traces under "overlay" mode, where one trace has `side` set to "positive" and the other to "negative".

?Span : Range

Sets the span in data space for which the density function will be computed. Has an effect only when `spanmode` is set to "manual".

?SpanMode : SpanMode

Sets the method by which the span in data space where the density function will be computed. "soft" means the span goes from the sample's minimum value minus two bandwidths to the sample's maximum value plus two bandwidths. "hard" means the span goes from the sample's minimum to its maximum value. For custom span settings, use mode "manual" and fill in the `span` attribute.

?UseDefaults : bool

If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart

Chart.Violin(dataEncoded, orientation, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?Opacity, ?Points, ?Jitter, ?PointPos, ?Width, ?MarkerColor, ?Marker, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?ShowBox, ?BoxWidth, ?BoxFillColor, ?Box, ?BandWidth, ?MeanLine, ?ScaleGroup, ?ScaleMode, ?Side, ?Span, ?SpanMode, ?UseDefaults)

Full Usage: Chart.Violin(dataEncoded, orientation, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?Opacity, ?Points, ?Jitter, ?PointPos, ?Width, ?MarkerColor, ?Marker, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?ShowBox, ?BoxWidth, ?BoxFillColor, ?Box, ?BandWidth, ?MeanLine, ?ScaleGroup, ?ScaleMode, ?Side, ?Span, ?SpanMode, ?UseDefaults)

Parameters:
    dataEncoded : EncodedTypedArray - Sets the sample data or coordinates as an encoded typed array.
    orientation : Orientation - Sets the orientation of the violin(s).
    ?Name : string - Sets the trace name. The trace name appear as the legend item and on hover.
    ?ShowLegend : bool - Determines whether or not an item corresponding to this trace is shown in the legend.
    ?Text : 'a - Sets a text associated with each datum
    ?MultiText : 'a seq - Sets individual text for each datum
    ?FillColor : Color - Sets the fill color.
    ?Opacity : float - Sets the Opacity of the trace.
    ?Points : JitterPoints - Controls which sample points are shown.
    ?Jitter : float - Sets the amount of jitter in the sample points drawn.
    ?PointPos : float - Sets the position of the sample points in relation to the box(es).
    ?Width : float - Sets the width of the violin in data coordinates.
    ?MarkerColor : Color - Sets the marker color.
    ?Marker : Marker - Sets the marker for the violin.
    ?OutlineColor : Color - Sets the color of the box outline
    ?OutlineWidth : float - Sets the width of the box outline
    ?Outline : Line - Sets the box outline.
    ?AlignmentGroup : string - Set several traces linked to the same position axis or matching axes to the same alignmentgroup.
    ?OffsetGroup : string - Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
    ?ShowBox : bool - Whether and how to draw a miniature box plot
    ?BoxWidth : float - Sets the width of the miniature box plot
    ?BoxFillColor : Color - Sets the fill color of the miniature box plot
    ?Box : Box - Sets the styles of the miniature box plot.
    ?BandWidth : float - Sets the bandwidth used to compute the kernel density estimate.
    ?MeanLine : MeanLine - Whether and how to draw the meanline
    ?ScaleGroup : string - Links violins that should be sized according to the same metric.
    ?ScaleMode : ScaleMode - Sets the metric by which the width of each violin is determined.
    ?Side : ViolinSide - Determines on which side of the position value one half of a violin is plotted.
    ?Span : Range - Sets the span in data space for which the density function will be computed.
    ?SpanMode : SpanMode - Sets the method by which the span in data space is computed.
    ?UseDefaults : bool - If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart
Type parameters: 'a (requires :> System.IConvertible)

Visualizes the distribution of the input data as a violin plot using an encoded typed array.

dataEncoded : EncodedTypedArray

Sets the sample data or coordinates as an encoded typed array.

orientation : Orientation

Sets the orientation of the violin(s).

?Name : string

Sets the trace name. The trace name appear as the legend item and on hover.

?ShowLegend : bool

Determines whether or not an item corresponding to this trace is shown in the legend.

?Text : 'a

Sets a text associated with each datum

?MultiText : 'a seq

Sets individual text for each datum

?FillColor : Color

Sets the fill color.

?Opacity : float

Sets the Opacity of the trace.

?Points : JitterPoints

Controls which sample points are shown.

?Jitter : float

Sets the amount of jitter in the sample points drawn.

?PointPos : float

Sets the position of the sample points in relation to the box(es).

?Width : float

Sets the width of the violin in data coordinates.

?MarkerColor : Color

Sets the marker color.

?Marker : Marker

Sets the marker for the violin.

?OutlineColor : Color

Sets the color of the box outline

?OutlineWidth : float

Sets the width of the box outline

?Outline : Line

Sets the box outline.

?AlignmentGroup : string

Set several traces linked to the same position axis or matching axes to the same alignmentgroup.

?OffsetGroup : string

Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.

?ShowBox : bool

Whether and how to draw a miniature box plot

?BoxWidth : float

Sets the width of the miniature box plot

?BoxFillColor : Color

Sets the fill color of the miniature box plot

?Box : Box

Sets the styles of the miniature box plot.

?BandWidth : float

Sets the bandwidth used to compute the kernel density estimate.

?MeanLine : MeanLine

Whether and how to draw the meanline

?ScaleGroup : string

Links violins that should be sized according to the same metric.

?ScaleMode : ScaleMode

Sets the metric by which the width of each violin is determined.

?Side : ViolinSide

Determines on which side of the position value one half of a violin is plotted.

?Span : Range

Sets the span in data space for which the density function will be computed.

?SpanMode : SpanMode

Sets the method by which the span in data space is computed.

?UseDefaults : bool

If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart

Chart.Violin(data, orientation, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?Opacity, ?Points, ?Jitter, ?PointPos, ?Width, ?MarkerColor, ?Marker, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?ShowBox, ?BoxWidth, ?BoxFillColor, ?Box, ?BandWidth, ?MeanLine, ?ScaleGroup, ?ScaleMode, ?Side, ?Span, ?SpanMode, ?UseDefaults)

Full Usage: Chart.Violin(data, orientation, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?Opacity, ?Points, ?Jitter, ?PointPos, ?Width, ?MarkerColor, ?Marker, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?ShowBox, ?BoxWidth, ?BoxFillColor, ?Box, ?BandWidth, ?MeanLine, ?ScaleGroup, ?ScaleMode, ?Side, ?Span, ?SpanMode, ?UseDefaults)

Parameters:
    data : 'a seq - Sets the sample data or coordinate pairs
    orientation : Orientation - Sets the orientation of the violin(s). If "v" ("h"), the distribution is visualized along the vertical (horizontal).
    ?Name : string - Sets the trace name. The trace name appear as the legend item and on hover.
    ?ShowLegend : bool - Determines whether or not an item corresponding to this trace is shown in the legend.
    ?Text : 'b - Sets a text associated with each datum
    ?MultiText : 'b seq - Sets individual text for each datum
    ?FillColor : Color - Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
    ?Opacity : float - Sets the Opacity otf the trace.
    ?Points : JitterPoints - If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the violins are shown with no sample points. Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set, otherwise defaults to "outliers".
    ?Jitter : float - Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).
    ?PointPos : float - Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes
    ?Width : float - Sets the width of the violin in data coordinates. If "0" (default value) the width is automatically selected based on the positions of other violin traces in the same subplot.
    ?MarkerColor : Color - Sets the marker color.
    ?Marker : Marker - Sets the marker for the violin (use this for more finegrained control than the other marker-associated arguments).
    ?OutlineColor : Color - Sets the color of the box outline
    ?OutlineWidth : float - Sets the width of the box outline
    ?Outline : Line - Sets the box outline (use this for more finegrained control than the other outline-associated arguments).
    ?AlignmentGroup : string - Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
    ?OffsetGroup : string - Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
    ?ShowBox : bool - Whether and how to draw a miniature box plot
    ?BoxWidth : float - Sets the width of the miniature box plot
    ?BoxFillColor : Color - Sets the fill color of the miniature box plot
    ?Box : Box - Sets the styles of the miniature box plot (use this for more finegrained control than the other box-associated arguments)
    ?BandWidth : float - Sets the bandwidth used to compute the kernel density estimate. By default, the bandwidth is determined by Silverman's rule of thumb.
    ?MeanLine : MeanLine - Whether and how to draw the meanline
    ?ScaleGroup : string - If there are multiple violins that should be sized according to to some metric (see `scalemode`), link them by providing a non-empty group id here shared by every trace in the same group. If a violin's `width` is undefined, `scalegroup` will default to the trace's name. In this case, violins with the same names will be linked together
    ?ScaleMode : ScaleMode - Sets the metric by which the width of each violin is determined."width" means each violin has the same (max) width"count" means the violins are scaled by the number of sample points makingup each violin.
    ?Side : ViolinSide - Determines on which side of the position value the density function making up one half of a violin is plotted. Useful when comparing two violin traces under "overlay" mode, where one trace has `side` set to "positive" and the other to "negative".
    ?Span : Range - Sets the span in data space for which the density function will be computed. Has an effect only when `spanmode` is set to "manual".
    ?SpanMode : SpanMode - Sets the method by which the span in data space where the density function will be computed. "soft" means the span goes from the sample's minimum value minus two bandwidths to the sample's maximum value plus two bandwidths. "hard" means the span goes from the sample's minimum to its maximum value. For custom span settings, use mode "manual" and fill in the `span` attribute.
    ?UseDefaults : bool - If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart
Type parameters: 'a, 'b (requires :> System.IConvertible and :> System.IConvertible)

Visualizes the distribution of the input data as a violin plot. A violin plot is a method of plotting numeric data. It is similar to a box plot, except that they also show the probability density of the data at different values, usually smoothed by a kernel density estimator. In vertical (horizontal) violin plots, statistics are computed using `y` (`x`) values. By supplying an `x` (`y`) array, one violin per distinct x (y) value is drawn If no `x` (`y`) array is provided, a single violin is drawn. That violin position is then positioned with with `name` or with `x0` (`y0`) if provided.

data : 'a seq

Sets the sample data or coordinate pairs

orientation : Orientation

Sets the orientation of the violin(s). If "v" ("h"), the distribution is visualized along the vertical (horizontal).

?Name : string

Sets the trace name. The trace name appear as the legend item and on hover.

?ShowLegend : bool

Determines whether or not an item corresponding to this trace is shown in the legend.

?Text : 'b

Sets a text associated with each datum

?MultiText : 'b seq

Sets individual text for each datum

?FillColor : Color

Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.

?Opacity : float

Sets the Opacity otf the trace.

?Points : JitterPoints

If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the violins are shown with no sample points. Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set, otherwise defaults to "outliers".

?Jitter : float

Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).

?PointPos : float

Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes

?Width : float

Sets the width of the violin in data coordinates. If "0" (default value) the width is automatically selected based on the positions of other violin traces in the same subplot.

?MarkerColor : Color

Sets the marker color.

?Marker : Marker

Sets the marker for the violin (use this for more finegrained control than the other marker-associated arguments).

?OutlineColor : Color

Sets the color of the box outline

?OutlineWidth : float

Sets the width of the box outline

?Outline : Line

Sets the box outline (use this for more finegrained control than the other outline-associated arguments).

?AlignmentGroup : string

Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.

?OffsetGroup : string

Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.

?ShowBox : bool

Whether and how to draw a miniature box plot

?BoxWidth : float

Sets the width of the miniature box plot

?BoxFillColor : Color

Sets the fill color of the miniature box plot

?Box : Box

Sets the styles of the miniature box plot (use this for more finegrained control than the other box-associated arguments)

?BandWidth : float

Sets the bandwidth used to compute the kernel density estimate. By default, the bandwidth is determined by Silverman's rule of thumb.

?MeanLine : MeanLine

Whether and how to draw the meanline

?ScaleGroup : string

If there are multiple violins that should be sized according to to some metric (see `scalemode`), link them by providing a non-empty group id here shared by every trace in the same group. If a violin's `width` is undefined, `scalegroup` will default to the trace's name. In this case, violins with the same names will be linked together

?ScaleMode : ScaleMode

Sets the metric by which the width of each violin is determined."width" means each violin has the same (max) width"count" means the violins are scaled by the number of sample points makingup each violin.

?Side : ViolinSide

Determines on which side of the position value the density function making up one half of a violin is plotted. Useful when comparing two violin traces under "overlay" mode, where one trace has `side` set to "positive" and the other to "negative".

?Span : Range

Sets the span in data space for which the density function will be computed. Has an effect only when `spanmode` is set to "manual".

?SpanMode : SpanMode

Sets the method by which the span in data space where the density function will be computed. "soft" means the span goes from the sample's minimum value minus two bandwidths to the sample's maximum value plus two bandwidths. "hard" means the span goes from the sample's minimum to its maximum value. For custom span settings, use mode "manual" and fill in the `span` attribute.

?UseDefaults : bool

If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart

Chart.Violin(?X, ?MultiX, ?Y, ?MultiY, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?Opacity, ?Points, ?Jitter, ?PointPos, ?Orientation, ?Width, ?MarkerColor, ?Marker, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?ShowBox, ?BoxWidth, ?BoxFillColor, ?Box, ?BandWidth, ?MeanLine, ?ScaleGroup, ?ScaleMode, ?Side, ?Span, ?SpanMode, ?UseDefaults)

Full Usage: Chart.Violin(?X, ?MultiX, ?Y, ?MultiY, ?Name, ?ShowLegend, ?Text, ?MultiText, ?FillColor, ?Opacity, ?Points, ?Jitter, ?PointPos, ?Orientation, ?Width, ?MarkerColor, ?Marker, ?OutlineColor, ?OutlineWidth, ?Outline, ?AlignmentGroup, ?OffsetGroup, ?ShowBox, ?BoxWidth, ?BoxFillColor, ?Box, ?BandWidth, ?MeanLine, ?ScaleGroup, ?ScaleMode, ?Side, ?Span, ?SpanMode, ?UseDefaults)

Parameters:
    ?X : 'a seq - Sets the x sample data or coordinates
    ?MultiX : 'a seq seq - Sets the x sample data or coordinates. Use two inner arrays here to plot multicategorial data
    ?Y : 'b seq - Sets the y sample data or coordinates
    ?MultiY : 'b seq seq - Sets the y sample data or coordinates. Use two inner arrays here to plot multicategorial data
    ?Name : string - Sets the trace name. The trace name appear as the legend item and on hover.
    ?ShowLegend : bool - Determines whether or not an item corresponding to this trace is shown in the legend.
    ?Text : 'c - Sets a text associated with each datum
    ?MultiText : 'c seq - Sets individual text for each datum
    ?FillColor : Color - Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
    ?Opacity : float - Sets the Opacity otf the trace.
    ?Points : JitterPoints - If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the violins are shown with no sample points. Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set, otherwise defaults to "outliers".
    ?Jitter : float - Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).
    ?PointPos : float - Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes
    ?Orientation : Orientation - Sets the orientation of the violin(s). If "v" ("h"), the distribution is visualized along the vertical (horizontal).
    ?Width : float - Sets the width of the violin in data coordinates. If "0" (default value) the width is automatically selected based on the positions of other violin traces in the same subplot.
    ?MarkerColor : Color - Sets the marker color.
    ?Marker : Marker - Sets the marker for the violin (use this for more finegrained control than the other marker-associated arguments).
    ?OutlineColor : Color - Sets the color of the box outline
    ?OutlineWidth : float - Sets the width of the box outline
    ?Outline : Line - Sets the box outline (use this for more finegrained control than the other outline-associated arguments).
    ?AlignmentGroup : string - Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
    ?OffsetGroup : string - Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
    ?ShowBox : bool - Whether and how to draw a miniature box plot
    ?BoxWidth : float - Sets the width of the miniature box plot
    ?BoxFillColor : Color - Sets the fill color of the miniature box plot
    ?Box : Box - Sets the styles of the miniature box plot (use this for more finegrained control than the other box-associated arguments)
    ?BandWidth : float - Sets the bandwidth used to compute the kernel density estimate. By default, the bandwidth is determined by Silverman's rule of thumb.
    ?MeanLine : MeanLine - Whether and how to draw the meanline
    ?ScaleGroup : string - If there are multiple violins that should be sized according to to some metric (see `scalemode`), link them by providing a non-empty group id here shared by every trace in the same group. If a violin's `width` is undefined, `scalegroup` will default to the trace's name. In this case, violins with the same names will be linked together
    ?ScaleMode : ScaleMode - Sets the metric by which the width of each violin is determined."width" means each violin has the same (max) width"count" means the violins are scaled by the number of sample points makingup each violin.
    ?Side : ViolinSide - Determines on which side of the position value the density function making up one half of a violin is plotted. Useful when comparing two violin traces under "overlay" mode, where one trace has `side` set to "positive" and the other to "negative".
    ?Span : Range - Sets the span in data space for which the density function will be computed. Has an effect only when `spanmode` is set to "manual".
    ?SpanMode : SpanMode - Sets the method by which the span in data space where the density function will be computed. "soft" means the span goes from the sample's minimum value minus two bandwidths to the sample's maximum value plus two bandwidths. "hard" means the span goes from the sample's minimum to its maximum value. For custom span settings, use mode "manual" and fill in the `span` attribute.
    ?UseDefaults : bool - If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart
Type parameters: 'a, 'b, 'c (requires :> System.IConvertible and :> System.IConvertible and :> System.IConvertible)

Visualizes the distribution of the input data as a violin plot. A violin plot is a method of plotting numeric data. It is similar to a box plot, except that they also show the probability density of the data at different values, usually smoothed by a kernel density estimator. In vertical (horizontal) violin plots, statistics are computed using `y` (`x`) values. By supplying an `x` (`y`) array, one violin per distinct x (y) value is drawn If no `x` (`y`) array is provided, a single violin is drawn. That violin position is then positioned with with `name` or with `x0` (`y0`) if provided.

?X : 'a seq

Sets the x sample data or coordinates

?MultiX : 'a seq seq

Sets the x sample data or coordinates. Use two inner arrays here to plot multicategorial data

?Y : 'b seq

Sets the y sample data or coordinates

?MultiY : 'b seq seq

Sets the y sample data or coordinates. Use two inner arrays here to plot multicategorial data

?Name : string

Sets the trace name. The trace name appear as the legend item and on hover.

?ShowLegend : bool

Determines whether or not an item corresponding to this trace is shown in the legend.

?Text : 'c

Sets a text associated with each datum

?MultiText : 'c seq

Sets individual text for each datum

?FillColor : Color

Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.

?Opacity : float

Sets the Opacity otf the trace.

?Points : JitterPoints

If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "false", only the violins are shown with no sample points. Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set, otherwise defaults to "outliers".

?Jitter : float

Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).

?PointPos : float

Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes

?Orientation : Orientation

Sets the orientation of the violin(s). If "v" ("h"), the distribution is visualized along the vertical (horizontal).

?Width : float

Sets the width of the violin in data coordinates. If "0" (default value) the width is automatically selected based on the positions of other violin traces in the same subplot.

?MarkerColor : Color

Sets the marker color.

?Marker : Marker

Sets the marker for the violin (use this for more finegrained control than the other marker-associated arguments).

?OutlineColor : Color

Sets the color of the box outline

?OutlineWidth : float

Sets the width of the box outline

?Outline : Line

Sets the box outline (use this for more finegrained control than the other outline-associated arguments).

?AlignmentGroup : string

Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.

?OffsetGroup : string

Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.

?ShowBox : bool

Whether and how to draw a miniature box plot

?BoxWidth : float

Sets the width of the miniature box plot

?BoxFillColor : Color

Sets the fill color of the miniature box plot

?Box : Box

Sets the styles of the miniature box plot (use this for more finegrained control than the other box-associated arguments)

?BandWidth : float

Sets the bandwidth used to compute the kernel density estimate. By default, the bandwidth is determined by Silverman's rule of thumb.

?MeanLine : MeanLine

Whether and how to draw the meanline

?ScaleGroup : string

If there are multiple violins that should be sized according to to some metric (see `scalemode`), link them by providing a non-empty group id here shared by every trace in the same group. If a violin's `width` is undefined, `scalegroup` will default to the trace's name. In this case, violins with the same names will be linked together

?ScaleMode : ScaleMode

Sets the metric by which the width of each violin is determined."width" means each violin has the same (max) width"count" means the violins are scaled by the number of sample points makingup each violin.

?Side : ViolinSide

Determines on which side of the position value the density function making up one half of a violin is plotted. Useful when comparing two violin traces under "overlay" mode, where one trace has `side` set to "positive" and the other to "negative".

?Span : Range

Sets the span in data space for which the density function will be computed. Has an effect only when `spanmode` is set to "manual".

?SpanMode : SpanMode

Sets the method by which the span in data space where the density function will be computed. "soft" means the span goes from the sample's minimum value minus two bandwidths to the sample's maximum value plus two bandwidths. "hard" means the span goes from the sample's minimum to its maximum value. For custom span settings, use mode "manual" and fill in the `span` attribute.

?UseDefaults : bool

If set to false, ignore the global default settings set in `Defaults`

Returns: GenericChart

Type something to start searching.