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"Visual_Long_Description": "A radar chart is a graphical method of displaying multivariate data in the form of a two-dimensional chart of three or more quantitative variables represented on axes starting from the same point. The relative position and angle of the axes is typically uninformative.\nEach variable is provided an axis that starts from the center. All axes are arranged radially, with equal distances between each other, while maintaining the same scale between all axes. Grid lines that connect from axis-to-axis are often used as a guide. Each variable value is plotted along its individual axis and all the variables in a dataset and connected together to form a polygon.\nRadar Charts are useful for seeing which variables are scoring high or low within a dataset, making them ideal for displaying performance, such as Skill Analysis of Employee or sport players, product comparison, etc.\nThis is an open source visual. Get the code from GitHub: https://github.com/Microsoft/PowerBI-visuals-RadarChart",
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"Visual_Name": "Name",
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"Visual_North": "North",
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"Visual_OnObject_AddLabels": "Add data labels",
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"Visual_OnObject_AddTitle": "Add legend title",
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"Visual_OnObject_DeleteLabels": "Delete data labels",
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"Visual_OnObject_DeleteLegend": "Delete legend",
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"Visual_OnObject_Delete": "Delete",
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"Visual_OnObject_DrawPolygons": "Draw polygons",
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"Visual_OnObject_FormatColors": "Format data colors",
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"Visual_OnObject_FormatLabels": "Format data labels",
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"Visual_OnObject_FormatLegend": "Format legend",
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"Visual_OnObject_FormatTitle": "Format title",
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"Visual_OnObject_Polygon": "polygon",
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"Visual_Position": "Position",
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"Visual_Precision": "Precision",
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"Visual_Right": "Right",
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"Visual_RightCenter": "Right Center",
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"Visual_Short_Description": "Multiple measures plotted over a categorical axis. Useful to compare attributes",
"Visual_Long_Description": "A radar chart is a graphical method of displaying multivariate data in the form of a two-dimensional chart of three or more quantitative variables represented on axes starting from the same point. The relative position and angle of the axes is typically uninformative.\nEach variable is provided an axis that starts from the center. All axes are arranged radially, with equal distances between each other, while maintaining the same scale between all axes. Grid lines that connect from axis-to-axis are often used as a guide. Each variable value is plotted along its individual axis and all the variables in a dataset and connected together to form a polygon.\nRadar Charts are useful for seeing which variables are scoring high or low within a dataset, making them ideal for displaying performance, such as Skill Analysis of Employee or sport players, product comparison, etc.\nThis is an open source visual. Get the code from GitHub: https://github.com/Microsoft/PowerBI-visuals-RadarChart",
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"Visual_Name": "Name",
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"Visual_North": "North",
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"Visual_OnObject_AddLabels": "Add data labels",
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"Visual_OnObject_AddTitle": "Add legend title",
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"Visual_OnObject_DeleteLabels": "Delete data labels",
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"Visual_OnObject_DeleteLegend": "Delete legend",
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"Visual_OnObject_Delete": "Delete",
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"Visual_OnObject_DrawPolygons": "Draw polygons",
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"Visual_OnObject_FormatColors": "Format data colors",
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"Visual_OnObject_FormatLabels": "Format data labels",
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"Visual_OnObject_FormatLegend": "Format legend",
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"Visual_OnObject_FormatTitle": "Format title",
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"Visual_OnObject_Polygon": "polygon",
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"Visual_Position": "Position",
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"Visual_Precision": "Precision",
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"Visual_Right": "Right",
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"Visual_RightCenter": "Right Center",
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"Visual_Short_Description": "Multiple measures plotted over a categorical axis. Useful to compare attributes",
"Visual_Short_Description": "Flow diagram where the width of the series is proportional to the quantity of the flow",
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"Visual_Long_Description": "With Sankey, you can clearly find the sources, destinations and steps in between and how the stuff flow across them all in one quick glance. You can also interact with it either by clicking the link or the flow itself and leverage the cross highlighting/filtering feature of Power BI to get even more interesting insights in related data.\nFittingly they are used widely in the energy industry. But it finds interesting use cases across all industries. It energies everyone to visualize information that has a start and an end or dynamic relationship with many intermediaries, for example how the user landed and navigated in a web site, or a material in a manufacturing unit, control of money transfers in business processes in a completely different perspective and bring interesting insights to the forefront.\nThis is an open source visual. Get the code from GitHub: https://github.com/Microsoft/powerbi-visuals-sankey",
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"Visual_DataPointsLabels": "Data labels",
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"Visual_Show": "Show",
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"Visual_Color": "Color",
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"Visual_Fill": "Fill",
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"Visual_TextSize": "Text size",
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"Visual_Force_Display": "Force display",
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"Visual_Nodes": "Nodes",
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"Visual_Source": "Source",
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"Visual_Destination": "Destination",
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"Visual_DestinationLabels": "Destination labels",
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"Visual_SourceLabels": "Source labels",
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"Visual_Weight": "Weight",
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"Visual_DataPointsLinkLabels": "Data link labels",
"Visual_SelflinkWeight": "Ignore weight of self links",
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"Visual_Name": "Name",
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"Visual_Description_Force_Display": "Display all labels anyway",
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"Visual_FontFamily": "Font family",
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"Visual_Input": "Input",
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"Visual_Output": "Output",
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"Visual_Width": "Width",
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"Visual_NodesShowAll": "Show all",
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"Visual_Values": "Values",
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"Visual_Font": "Font",
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"Visual_LinksOrder": "Links order",
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"Visual_AutoLinksReorder": "Auto links reorder",
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"Visual_ResetButton": "Reset button",
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"Visual_Position": "Position",
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"Visual_Top": "Top",
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"Visual_TopCenter": "Top center",
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"Visual_TopRight": "Top right",
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"Visual_Bottom": "Bottom",
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"Visual_BottomCenter": "Bottom center",
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"Visual_BottomRight": "Bottom right",
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"Visual_ResetButonDescription": "A button that will reset the nodes to their original positions",
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"Visual_ApplySettingsTo": "Apply settings to",
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"Visual_All": "All",
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"Visual_BorderDisabledReason": "These options are available when Links is set to \"All\"",
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"Visual_NodeWidthDisabledReason": "These options are available when \"Nodes\" is set to \"All\"",
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"Visual_Option": "Option",
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"Visual_ColorDisabledDescription": "This option is available when \"High contrast colors\" is set to \"None\""
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}
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{
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"Visual_Short_Description": "Flow diagram where the width of the series is proportional to the quantity of the flow",
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"Visual_Long_Description": "With Sankey, you can clearly find the sources, destinations and steps in between and how the stuff flow across them all in one quick glance. You can also interact with it either by clicking the link or the flow itself and leverage the cross highlighting/filtering feature of Power BI to get even more interesting insights in related data.\nFittingly they are used widely in the energy industry. But it finds interesting use cases across all industries. It energies everyone to visualize information that has a start and an end or dynamic relationship with many intermediaries, for example how the user landed and navigated in a web site, or a material in a manufacturing unit, control of money transfers in business processes in a completely different perspective and bring interesting insights to the forefront.\nThis is an open source visual. Get the code from GitHub: https://github.com/Microsoft/powerbi-visuals-sankey",
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"Visual_DataPointsLabels": "Data labels",
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"Visual_Show": "Show",
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"Visual_Color": "Color",
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"Visual_Fill": "Fill",
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"Visual_TextSize": "Text size",
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"Visual_Force_Display": "Force display",
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"Visual_Nodes": "Nodes",
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"Visual_Source": "Source",
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"Visual_Destination": "Destination",
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"Visual_DestinationLabels": "Destination labels",
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"Visual_SourceLabels": "Source labels",
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"Visual_Weight": "Weight",
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"Visual_DataPointsLinkLabels": "Data link labels",
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