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PStack :: StackOffset -> PositionChannelhvega Graphics.Vega.VegaLite Type of stacking offset for the field when encoding with a position channel. For example, stacking areas away from a centreline can be used to create a streamgraph:
enc = encoding . position X [PName "week", PmType Ordinal] . position Y [ PName "takings" , PmType Quantitative , PStack StCenter ] . color [MName "shop", MmType Nominal]
Changed from StackProperty in version 0.4.0.0.PTimeUnit :: TimeUnit -> PositionChannelhvega Graphics.Vega.VegaLite Form of time unit aggregation of field values when encoding with a position channel.
PTitle :: Text -> PositionChannelhvega Graphics.Vega.VegaLite Title of a field when encoding with a position channel.
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hvega Graphics.Vega.VegaLite Set the position to the width of the enclosing data space. Useful for justifying a mark to the right hand edge of a view. e.g. to position a mark at the right of the data rectangle:
enc = encoding . position X [ PWidth ]
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hvega Graphics.Vega.VegaLite Specify the padding dimensions in pixel units.
Padding :: Padding -> ConfigurationPropertyhvega Graphics.Vega.VegaLite Deprecated: Please change Padding to PaddingStyle
PaddingStyle :: Padding -> ConfigurationPropertyhvega Graphics.Vega.VegaLite The default padding in pixels from the edge of the of visualization to the data rectangle. This was renamed from Padding in 0.6.0.0.
Parse :: [(FieldName, DataType)] -> Formathvega Graphics.Vega.VegaLite Parsing rules when processing some data text, specified as a list of tuples in the form (fieldname, datatype). Useful when automatic type inference needs to be overridden, for example when converting integers representing years into dates and strings into numbers:
dataFromUrl "myDataFile.csv" [ Parse [ ( "year", FoDate "%Y" ), ( "y", FoNumber ) ] ]
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hvega Graphics.Vega.VegaLite Percentile of values in a sliding window to be applied in a window transform.
PiGroupBy :: [FieldName] -> PivotPropertyhvega Graphics.Vega.VegaLite The data fields to group by when pivoting. If unspecified then a single group containing all the data objects will be used.