Template:Graph:Chart/doc

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Revision as of 23:22, 13 May 2023 by imported>Pppery
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CSV2Chart

If you have data from a spreadsheet document (e.g. LibreOffice Calc) or in a statistics software R/R-Studio, you can export them to CSV file. The CSV file can be loaded with an v:en:AppLSAC, that is able to convert the CSV in chart for the data. The column should have headers in the first row. The column of the CSV file contain float or integer values. CSV2WikiChart was created as support tool for Wikipedia and for Wikiversity learning resources that contain data.

Parameters

Module with helper functions for the Graph extension.

Functions for templates

map

Creates a JSON object for <graph> to display a political map with colored highlights

Maps can be found at Special:PrefixIndex/Module:Graph/ and new maps should also be saved under Module:Graph/.

Parameters:

  • basemap: sets the base map. The map definitions must follow the TopoJSON format and if saved in Wikipedia are available for this module. Maps in the default directory Special:PrefixIndex/Module:Graph/ should only be referenced by their name while omitting the Module:Graph/ prefix to allow better portability. The parameter also accepts URLs, e.g. maps from other Wikipedia versions (the link should follow the scheme of //en.wikipedia.org/w/index.php?title=mapname&action=raw, i.e. protocol-relative without leading http/s and a trailing action=raw to fetch the raw content only). URLs to maps on external sites should be avoided for the sake of link stability, performance, security, and should be assumed to be blocked by the software or browser anyway.
  • scale: the scaling factor of the map (default: 100)
  • projection: the map projection to use. Supported values are listed at https://github.com/mbostock/d3/wiki/Geo-Projections. The default value is equirectangular for an equirectangular projection.
  • ids of geographic entities: The actual parameter names depend on the base map. For example, for the above mentioned world map the ids are ISO country codes. The values can be either colors or numbers in case the geographic entities should be associated with numeric data: DE=lightblue marks Germany in light blue color, and DE=80.6 assigns Germany the value 80.6 (population in millions). In the latter case, the actual color depends on the following parameters.
    • colorScale: the color palette to use for the color scale. The palette must be provided as a comma-separated list of color values. The color values must be given either as #rgb/#rrggbb or by a CSS color name. Instead of a list, the built-in color palettes category10 and category20 can also be used.
    • scaleType: supported values are linear for a linear mapping between the data values and the color scale, log for a log mapping, pow for a power mapping (the exponent can be provided as pow 0.5), sqrt for a square-root mapping, and quantize for a quantized scale, i.e. the data is grouped in as many classes as the color palette has colors.
    • domainMin: lower boundary of the data values, i.e. smaller data values are mapped to the lower boundary
    • domainMax: upper boundary of the data values, i.e. larger data values are mapped to the upper boundary
    • legend: show color legend (does not work with quantize)
  • defaultValue: default value for unused geographic entities. In case the id values are colors the default value is silver, in case of numbers it is 0.
  • formatjson: format JSON object for better legibility

chart

Creates a JSON object for <graph> to display charts. In the article namespace the template {{Graph:Chart }} should be used instead. See its page for use cases.

Parameters:

  • width: width of the chart
  • height: height of the chart
  • type: type of the chart: line for line charts, area for area charts, and rect for (column) bar charts, and pie for pie charts. Multiple series can stacked using the stacked prefix, e.g. stackedarea.
  • interpolate: interpolation method for line and area charts. It is recommended to use monotone for a monotone cubic interpolation – further supported values are listed at https://github.com/vega/vega/wiki/Marks#area.
  • colors: color palette of the chart as a comma-separated list of colors. The color values must be given either as #rgb/#rrggbb/#aarrggbb or by a CSS color name. For #aarrggbb the aa component denotes the alpha channel, i.e. FF=100% opacity, 80=50% opacity/transparency, etc. (The default color palette is category10).
  • xAxisTitle and yAxisTitle: captions of the x and y axes
  • xAxisMin, xAxisMax, yAxisMin, and yAxisMax: minimum and maximum values of the x and y axes
  • xAxisFormat and yAxisFormat: changes the formatting of the axis labels. Supported values are listed at https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#numbers for numbers and https://github.com/d3/d3-3.x-api-reference/blob/master/Time-Formatting.md for date/time. For example, the format % can be used to output percentages.
  • xAxisAngle: rotates the x axis labels by the specified angle. Recommended values are: -45, +45, -90, +90
  • xType and yType: Data types of the values, e.g. integer for integers, number for real numbers, date for dates (e.g. YYYY/MM/DD), and string for ordinal values.
  • x: the x-values as a comma-separated list (if a value itself contains a comma it must be escaped with a backslash, i.e. it needs to be written as \,)
  • y or y1, y2, …: the y-values for one or several data series, respectively. For pie charts y2 denotes the radiuses of the corresponding sectors.
  • legend: show legend (only works in case of multiple data series)
  • y1Title, y2Title, …: defines the label of the respective data series in the legend
  • linewidth: line width for line charts or distance between the pie segments for pie charts
  • showValues: Additionally, output the y values as text. (Currently, only (non-stacked) bar and pie charts are supported.) The output can be configured used the following parameters provided as name1:value1, name2:value2:
  • innerRadius: For pie charts: defines the inner radius to create a doughnut chart.
  • formatjson: format JSON object for better legibility

Template wrappers

The functions mapWrapper and chartWrapper are wrappers to pass all parameters of the calling template to the respective map and chart functions.

Note: In the editor preview the graph extension creates a canvas element with vector graphics. However, when saving the page a PNG raster graphics is generated instead.

Note to developers: New functionality can be tested with the Vega Editor, that also contains a large amount of example code.

Examples

Basic examples

Line Chart: 

{{Graph:Chart
 | width = 450
 | height = 150
 | type = line
 | x = 1,2,3,4,5,6,7,8,9
 | y = 10,12,6,14,2,10,7,9,12
}}

<graph fallback="" fallbackWidth="">{"legends":[],"scales":[{"type":"linear","name":"x","domain":{"data":"chart","field":"x"},"zero":false,"range":"width","nice":true},{"type":"linear","name":"y","domain":{"data":"chart","field":"y"},"zero":false,"range":"height","nice":true},{"domain":{"data":"chart","field":"series"},"type":"ordinal","name":"color","range":{"scheme":"category10"}}],"marks":[{"encode":{"hover":{"stroke":{"value":"red"}},"update":{"stroke":{"scale":"color","field":"series"}},"enter":{"y":{"scale":"y","field":"y"},"x":{"scale":"x","field":"x"},"stroke":{"scale":"color","field":"series"},"strokeWidth":{"value":2.5}}},"type":"line","from":{"data":"chart"}}],"data":[{"transform":[],"format":{"parse":{"y":"number","x":"number"},"type":"json"},"name":"chart","values":[{"y":10,"series":"y","index":1,"x":1},{"y":12,"series":"y","index":1,"x":2},{"y":6,"series":"y","index":1,"x":3},{"y":14,"series":"y","index":1,"x":4},{"y":2,"series":"y","index":1,"x":5},{"y":10,"series":"y","index":1,"x":6},{"y":7,"series":"y","index":1,"x":7},{"y":9,"series":"y","index":1,"x":8},{"y":12,"series":"y","index":1,"x":9}]}],"height":150,"axes":[{"orient":"bottom","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"scale":"x","format":"d","tickMinStep":1,"grid":false},{"orient":"left","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"tickCount":12,"scale":"y","format":"d","tickMinStep":1,"grid":false}],"$schema":"https://vega.github.io/schema/vega/v5.json","width":400} </graph>

Note: The y-axis starts from the smallest y value, though this can be overridden with the yAxisMin parameter.

Area chart: 

{{Graph:Chart
 | width=400
 | height=100
 | type=area
 | x=1,2,3,4,5,6,7,8
 | y=10,12,6,14,2,10,7,9
}}

<graph fallback="" fallbackWidth="">{"legends":[],"scales":[{"type":"linear","name":"x","domain":{"data":"chart","field":"x"},"zero":false,"range":"width","nice":true},{"type":"linear","name":"y","domain":{"data":"chart","field":"y"},"zero":true,"range":"height","nice":true},{"domain":{"data":"chart","field":"series"},"type":"ordinal","name":"color","range":{"scheme":"category10"}}],"marks":[{"encode":{"hover":{"fill":{"value":"red"}},"update":{"fill":{"scale":"color","field":"series"}},"enter":{"y":{"scale":"y","field":"y"},"x":{"scale":"x","field":"x"},"y2":{"scale":"y","value":0},"fill":{"scale":"color","field":"series"}}},"type":"area","from":{"data":"chart"}}],"data":[{"transform":[],"format":{"parse":{"y":"number","x":"number"},"type":"json"},"name":"chart","values":[{"y":10,"series":"y","index":1,"x":1},{"y":12,"series":"y","index":1,"x":2},{"y":6,"series":"y","index":1,"x":3},{"y":14,"series":"y","index":1,"x":4},{"y":2,"series":"y","index":1,"x":5},{"y":10,"series":"y","index":1,"x":6},{"y":7,"series":"y","index":1,"x":7},{"y":9,"series":"y","index":1,"x":8}]}],"height":100,"axes":[{"orient":"bottom","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"scale":"x","format":"d","tickMinStep":1,"grid":false},{"orient":"left","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"tickCount":8,"scale":"y","format":"d","tickMinStep":1,"grid":false}],"$schema":"https://vega.github.io/schema/vega/v5.json","width":400} </graph> Note: The y-axis starts from zero

Bar chart: 

{{Graph:Chart
 | width=400
 | height=100
 | xAxisTitle=The X axis
 | yAxisTitle=The Y axis
 | type=rect
 | x=1,2,3,4,5,6,7,8
 | y=10,12,6,14,2,10,7,9
}}

<graph fallback="" fallbackWidth="">{"legends":[],"scales":[{"type":"band","name":"x","domain":{"data":"chart","field":"x"},"padding":0.2,"range":"width","nice":true},{"type":"linear","name":"y","domain":{"data":"chart","field":"y"},"zero":true,"range":"height","nice":true},{"domain":{"data":"chart","field":"series"},"type":"ordinal","name":"color","range":{"scheme":"category10"}}],"marks":[{"encode":{"hover":{"fill":{"value":"red"}},"update":{"fill":{"scale":"color","field":"series"}},"enter":{"y":{"scale":"y","field":"y"},"x":{"scale":"x","field":"x"},"y2":{"scale":"y","value":0},"width":{"scale":"x","offset":-1,"band":true},"fill":{"scale":"color","field":"series"}}},"type":"rect","from":{"data":"chart"}}],"data":[{"transform":[],"format":{"parse":{"y":"number","x":"number"},"type":"json"},"name":"chart","values":[{"y":10,"series":"y","index":1,"x":1},{"y":12,"series":"y","index":1,"x":2},{"y":6,"series":"y","index":1,"x":3},{"y":14,"series":"y","index":1,"x":4},{"y":2,"series":"y","index":1,"x":5},{"y":10,"series":"y","index":1,"x":6},{"y":7,"series":"y","index":1,"x":7},{"y":9,"series":"y","index":1,"x":8}]}],"height":100,"axes":[{"orient":"bottom","title":"The X axis","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"scale":"x","format":"d","tickMinStep":1,"grid":false},{"orient":"left","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"title":"The Y axis","tickCount":8,"scale":"y","format":"d","tickMinStep":1,"grid":false}],"$schema":"https://vega.github.io/schema/vega/v5.json","width":400} </graph>

Multiple data series

Line chart with more than one data series, using colors: 

{{Graph:Chart
 | width=400
 | height=150
 | xGrid=
 | yGrid=
 | xAxisTitle=X
 | yAxisTitle=Y
 | legend=Legend
 | type=line
 | x=1,2,3,4,5,6,7,8
 | y1=10,12,6,14,2,10,7,9
 | y1Title=Y1 Series
 | y2=2,4,6,8,13,11,9,2
 | y2Title=Y2 Series
 | colors=#0000aa,#ff8000
}}

<graph fallback="" fallbackWidth="">{"legends":[{"title":"Legend","labelColor":"#54595d","stroke":"color","titleColor":"#54595d","fill":"color"}],"scales":[{"type":"linear","name":"x","domain":{"data":"chart","field":"x"},"zero":false,"range":"width","nice":true},{"type":"linear","name":"y","domain":{"data":"chart","field":"y"},"zero":false,"range":"height","nice":true},{"domain":{"data":"chart","field":"series"},"type":"ordinal","name":"color","range":["#0000aa","#ff8000"]}],"marks":[{"type":"group","marks":[{"encode":{"hover":{"stroke":{"value":"red"}},"update":{"stroke":{"scale":"color","field":"series"}},"enter":{"y":{"scale":"y","field":"y"},"x":{"scale":"x","field":"x"},"stroke":{"scale":"color","field":"series"},"strokeWidth":{"value":2.5}}},"type":"line","from":{"data":"facet"}}],"from":{"facet":{"name":"facet","data":"chart","groupby":"series"}}}],"data":[{"transform":[],"format":{"parse":{"y":"number","x":"number"},"type":"json"},"name":"chart","values":[{"y":10,"series":"Y1 Series","index":1,"x":1},{"y":12,"series":"Y1 Series","index":1,"x":2},{"y":6,"series":"Y1 Series","index":1,"x":3},{"y":14,"series":"Y1 Series","index":1,"x":4},{"y":2,"series":"Y1 Series","index":1,"x":5},{"y":10,"series":"Y1 Series","index":1,"x":6},{"y":7,"series":"Y1 Series","index":1,"x":7},{"y":9,"series":"Y1 Series","index":1,"x":8},{"y":2,"series":"Y2 Series","index":2,"x":1},{"y":4,"series":"Y2 Series","index":2,"x":2},{"y":6,"series":"Y2 Series","index":2,"x":3},{"y":8,"series":"Y2 Series","index":2,"x":4},{"y":13,"series":"Y2 Series","index":2,"x":5},{"y":11,"series":"Y2 Series","index":2,"x":6},{"y":9,"series":"Y2 Series","index":2,"x":7},{"y":2,"series":"Y2 Series","index":2,"x":8}]}],"height":150,"axes":[{"orient":"bottom","title":"X","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"scale":"x","format":"d","tickMinStep":1,"grid":true},{"orient":"left","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"title":"Y","tickCount":12,"scale":"y","format":"d","tickMinStep":1,"grid":true}],"$schema":"https://vega.github.io/schema/vega/v5.json","width":400} </graph>

Area chart with more than one data series showing blended overlap: 

{{Graph:Chart
 | width=400
 | height=100
 | xAxisTitle=X
 | yAxisTitle=Y
 | legend=Legend
 | type=area
 | x=1,2,3,4,5,6,7,8
 | y1=10,12,6,14,2,10,7,9
 | y2=2,4,6,8,13,11,9,2
 | colors=#800000aa,#80ff8000
}}

<graph fallback="" fallbackWidth="">{"legends":[{"title":"Legend","labelColor":"#54595d","stroke":"color","titleColor":"#54595d","fill":"color"}],"scales":[{"type":"linear","name":"x","domain":{"data":"chart","field":"x"},"zero":false,"range":"width","nice":true},{"type":"linear","name":"y","domain":{"data":"chart","field":"y"},"zero":true,"range":"height","nice":true},{"domain":{"data":"chart","field":"series"},"type":"ordinal","name":"color","range":["#0000aa","#ff8000"]},{"type":"ordinal","name":"transparency","range":["0.50196078431373","0.50196078431373"]}],"marks":[{"type":"group","marks":[{"encode":{"hover":{"fill":{"value":"red"}},"update":{"fillOpacity":{"scale":"transparency","field":"series"},"fill":{"scale":"color","field":"series"}},"enter":{"y":{"scale":"y","field":"y"},"x":{"scale":"x","field":"x"},"y2":{"scale":"y","value":0},"fill":{"scale":"color","field":"series"}}},"type":"area","from":{"data":"facet"}}],"from":{"facet":{"name":"facet","data":"chart","groupby":"series"}}}],"data":[{"transform":[],"format":{"parse":{"y":"number","x":"number"},"type":"json"},"name":"chart","values":[{"y":10,"series":"y1","index":1,"x":1},{"y":12,"series":"y1","index":1,"x":2},{"y":6,"series":"y1","index":1,"x":3},{"y":14,"series":"y1","index":1,"x":4},{"y":2,"series":"y1","index":1,"x":5},{"y":10,"series":"y1","index":1,"x":6},{"y":7,"series":"y1","index":1,"x":7},{"y":9,"series":"y1","index":1,"x":8},{"y":2,"series":"y2","index":2,"x":1},{"y":4,"series":"y2","index":2,"x":2},{"y":6,"series":"y2","index":2,"x":3},{"y":8,"series":"y2","index":2,"x":4},{"y":13,"series":"y2","index":2,"x":5},{"y":11,"series":"y2","index":2,"x":6},{"y":9,"series":"y2","index":2,"x":7},{"y":2,"series":"y2","index":2,"x":8}]}],"height":100,"axes":[{"orient":"bottom","title":"X","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"scale":"x","format":"d","tickMinStep":1,"grid":false},{"orient":"left","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"title":"Y","tickCount":8,"scale":"y","format":"d","tickMinStep":1,"grid":false}],"$schema":"https://vega.github.io/schema/vega/v5.json","width":400} </graph>

Bar chart with multiple data series: 

{{Graph:Chart
 | width=400
 | height=100
 | xAxisTitle=X
 | yAxisTitle=Y
 | legend=Legend
 | type=rect
 | x=1,2,3,4,5,6,7,8
 | y1=10,12,6,14,2,10,7,9
 | y2=2,4,6,8,13,11,9,2
 |colors=#800000aa,#80ff8000
}}

<graph fallback="" fallbackWidth="">{"legends":[{"title":"Legend","labelColor":"#54595d","stroke":"color","titleColor":"#54595d","fill":"color"}],"scales":[{"type":"band","name":"x","domain":{"data":"chart","field":"x"},"padding":0.2,"range":"width","nice":true},{"type":"linear","name":"y","domain":{"data":"chart","field":"y"},"zero":true,"range":"height","nice":true},{"domain":{"data":"chart","field":"series"},"type":"ordinal","name":"color","range":["#0000aa","#ff8000"]},{"type":"ordinal","name":"transparency","range":["0.50196078431373","0.50196078431373"]}],"marks":[{"type":"group","from":{"facet":{"name":"facet","data":"chart","groupby":"x"}},"encode":{"enter":{"x":{"scale":"x","field":"x"}}},"signals":[{"name":"width","update":"bandwidth('x')"}],"marks":[{"encode":{"hover":{"fill":{"value":"red"}},"update":{"fillOpacity":{"scale":"transparency","field":"series"},"fill":{"scale":"color","field":"series"}},"enter":{"y":{"scale":"y","field":"y"},"x":{"scale":"facet_index","field":"series"},"y2":{"scale":"y","value":0},"width":{"scale":"facet_index","band":true},"fill":{"scale":"color","field":"series"}}},"type":"rect","from":{"data":"facet"}}],"scales":[{"domain":{"data":"facet","field":"series"},"type":"band","name":"facet_index","range":"width"}]}],"data":[{"transform":[],"format":{"parse":{"y":"number","x":"number"},"type":"json"},"name":"chart","values":[{"y":10,"series":"y1","index":1,"x":1},{"y":12,"series":"y1","index":1,"x":2},{"y":6,"series":"y1","index":1,"x":3},{"y":14,"series":"y1","index":1,"x":4},{"y":2,"series":"y1","index":1,"x":5},{"y":10,"series":"y1","index":1,"x":6},{"y":7,"series":"y1","index":1,"x":7},{"y":9,"series":"y1","index":1,"x":8},{"y":2,"series":"y2","index":2,"x":1},{"y":4,"series":"y2","index":2,"x":2},{"y":6,"series":"y2","index":2,"x":3},{"y":8,"series":"y2","index":2,"x":4},{"y":13,"series":"y2","index":2,"x":5},{"y":11,"series":"y2","index":2,"x":6},{"y":9,"series":"y2","index":2,"x":7},{"y":2,"series":"y2","index":2,"x":8}]}],"height":100,"axes":[{"orient":"bottom","title":"X","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"scale":"x","format":"d","tickMinStep":1,"grid":false},{"orient":"left","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"title":"Y","tickCount":8,"scale":"y","format":"d","tickMinStep":1,"grid":false}],"$schema":"https://vega.github.io/schema/vega/v5.json","width":400} </graph>

Area chart with smoothed data values: 

{{Graph:Chart
 | width=400
 | height=150
 | xAxisTitle=X
 | yAxisTitle=Y
 | legend=Legend
 | type=stackedarea
 | x=1,2,3,4,5,6,7,8
 | y1=10,12,6,14,2,10,7,9
 | y2=2,4,6,8,13,11,9,2
 | interpolate=monotone
 | colors=seagreen, orchid
}}

<graph fallback="" fallbackWidth="">{"legends":[{"title":"Legend","labelColor":"#54595d","stroke":"color","titleColor":"#54595d","fill":"color"}],"scales":[{"type":"linear","name":"x","domain":{"data":"chart","field":"x"},"zero":false,"range":"width","nice":true},{"type":"linear","name":"y","domain":{"data":"chart","field":"y1"},"zero":true,"range":"height","nice":true},{"domain":{"data":"chart","field":"series"},"type":"ordinal","name":"color","range":["seagreen","orchid"]}],"marks":[{"type":"group","marks":[{"encode":{"hover":{"fill":{"value":"red"}},"update":{"fill":{"scale":"color","field":"series"}},"enter":{"y":{"scale":"y","field":"y1"},"interpolate":{"value":"monotone"},"y2":{"scale":"y","field":"y0"},"x":{"scale":"x","field":"x"},"fill":{"scale":"color","field":"series"}}},"type":"area","from":{"data":"facet"}}],"from":{"facet":{"name":"facet","data":"chart","groupby":"series"}}}],"data":[{"transform":[{"field":"y","type":"stack","sort":{"field":"index"},"groupby":["x"]}],"format":{"parse":{"y":"number","x":"number"},"type":"json"},"name":"chart","values":[{"y":10,"series":"y1","index":1,"x":1},{"y":12,"series":"y1","index":1,"x":2},{"y":6,"series":"y1","index":1,"x":3},{"y":14,"series":"y1","index":1,"x":4},{"y":2,"series":"y1","index":1,"x":5},{"y":10,"series":"y1","index":1,"x":6},{"y":7,"series":"y1","index":1,"x":7},{"y":9,"series":"y1","index":1,"x":8},{"y":2,"series":"y2","index":2,"x":1},{"y":4,"series":"y2","index":2,"x":2},{"y":6,"series":"y2","index":2,"x":3},{"y":8,"series":"y2","index":2,"x":4},{"y":13,"series":"y2","index":2,"x":5},{"y":11,"series":"y2","index":2,"x":6},{"y":9,"series":"y2","index":2,"x":7},{"y":2,"series":"y2","index":2,"x":8}]}],"height":150,"axes":[{"orient":"bottom","title":"X","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"scale":"x","format":"d","tickMinStep":1,"grid":false},{"orient":"left","encode":{"title":{"fill":{"value":"#54595d"}},"grid":{"stroke":{"value":"#54595d"}},"ticks":{"stroke":{"value":"#54595d"}},"axis":{"strokeWidth":{"value":2},"stroke":{"value":"#54595d"}},"labels":{"fill":{"value":"#54595d"}}},"title":"Y","tickCount":12,"scale":"y","format":"d","tickMinStep":1,"grid":false}],"$schema":"https://vega.github.io/schema/vega/v5.json","width":400} </graph>

Bar chart with stacked data series: 

{{Graph:Chart
 | width=400 | height=150
 | xAxisTitle=X
 | yAxisTitle=Y
 | legend=Legend
 | type=stackedrect
 | x=1,2,3,4,5,6,7,8
 | y1=10,12,6,14,2,10,7,9
 | y2=2,4,6,8,13,11,9,2
 | y1Title=Data A
 | y2Title=Data B
 | colors=seagreen, orchid
}}

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Pie charts

{{Graph:Chart
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 | height=100
 | type=pie
 | legend=Letter
 | x=A,B,C,D,E,F,G,H,I
 | y1=100,200,150,300,100,100,150,50,200
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{{Graph:Chart
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{{Graph:Chart
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{{Graph:Chart
 | width=100
 | height=100
 | type=pie
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 | legend=Letter
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Scatter plot

By using a line plot with linewidth=0, it is possible to create a scatter plot: 

{{Graph:Chart
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|linewidth=0
|yGrid= |xGrid= 
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Using percentages

  • When xAxisFormat or yAxisFormat is set to %, a percentage sign will be added to the scale of the corresponding axis.
  • A value of 1 equals 100%. A decimal point should be added in front of percentages between 0 and 100, for instance .25 for 25%.
  • Including the code | yAxisMin=0 | yAxisMax=1 will force the y axis scale to run from 0% to 100%.
{{Graph:Chart
| width = 450
| height = 350
| x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
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| yAxisMax = 1
| yAxisFormat = %
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| y2 = .40, .377, .38, , .39, .38, .419, .55, .60, .63
| y3 = .27, .311, .31, , .26, .28, .285
| y4 = {{repeat|7|, }} .40, .44, .42, .47, .44, .43, .42
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A graph showing values greater than 100% and negative values: 

{{Graph:Chart
| width = 450
| height = 350
| x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
| yAxisFormat = %
| showSymbols = 
| y1 = 2, .43, 1.20, .39, .43, .0, -.38, -.20, .18, .54 , 0
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Legends

A legend can be added where there are multiple data series: 

{{Graph:Chart
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 | height=150
 | xAxisTitle=X
 | yAxisTitle=Y
 | legend=Legend
 | y1Title=Blue
 | y2Title=Orange
 | type=line
 | x=1,2,3,4,5,6,7,8
 | y1=10,12,6,14,2,10,7,9
 | y2=2,4,6,8,13,11,9,2
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The title can be omitted by leaving the parameter blank: 

{{Graph:Chart
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 | height=150
 | xAxisTitle=X
 | yAxisTitle=Y
 | legend=
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 | y1=10,12,6,14,2,10,7,9
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Long legend entries can look clumsy. It may be better to omit the legend parameter and use {{Legend }} (or a similar template) instead: 

{{Graph:Chart
 | width=400
 | height=150
 | xAxisTitle=X
 | yAxisTitle=Y
 | colors=darkred, gold
 | type=line
 | x=1,2,3,4,5,6,7,8
 | y1=10,12,6,14,2,10,7,9
 | y2=2,4,6,8,13,11,9,2
}}
{{legend|darkred|This is a long legend entry and wouldn't look so good if it was part of the graph itself.}}
{{legend|gold|This is another fairly long entry.}}

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  This is a long legend entry and wouldn't look so good if it was part of the graph itself.
  This is another fairly long entry.


This method also allows the use of wiki formatting and the insertion of links. Graphs using the default colors need to specify the hex values in the legend templates: Template:Columns-list

Alternatively, CSS color names (or hex values) can be specified in the graph and the legend templates.

Annotations

Line Chart with horizontal annotations only: 

{{Graph:Chart
|hannotatonslabel=label4, label5, label6
|hannotatonsline=4, 5, 6
|linewidths=2,4,0
|showSymbols=3,3,3
|symbolsShape=triangle_up, cross, cross
|type=line
|x=0,1,2,3
|y1=0,3.342,2.3423,5.32423|y2=1,2.342,4.63,2.32423|y3=3,1.342,2.63,6.32423}}

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Area chart with vertical annotations only 

{{Graph:Chart
|vAnnotatonsLine=1, 2, 3 
|vAnnotatonsLabel=label1, label2, label3
|colors=#ffff5ba0, #641050ff, #ffaaff00
|type=area
|x=0,1,2,3
|y3=0,3.342,2.3423,5.32423|y2=1,2.342,4.63,2.32423|y1=3,1.342,2.63,6.32423}}

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Retrieved from "https://www.linuxwebexpert.com/wiki/index.php?title=Template:Graph:Chart/doc&oldid=56688"