ScatterPlot

Configuration Options

chartName

Type: string
Default: "ScatterPlot"

Name of chart for Reporting.

chartPrimarySeriesColors

Type: colorArray
Default: [["#D9EBFD","#B7DAF5","#90c4e4","#73B0D7","#4E8CBA","#31689B"],["#DDF4BA","#BBE491","#A0D771","#80C25D","#559E38","#387B26"],["#FDECAD","#FCCF84","#FBAD56","#FB8D34","#E45621","#A43724"],["#F3E4FE","#DDC8EF","#C5ACDE","#B391CA","#8F6DC0","#7940A1"],["#FCD7E6","#FBB6DD","#F395CD","#EE76BF","#CF51AC","#A62A92"],["#D8F4DE","#ABE4CA","#8DD5BE","#68BEA8","#46998A","#227872"],["#FDDDDD","#FCBCB7","#FD9A93","#FD7F76","#e45850","#c92e25"]]

The primary colors used to represent series data

colorScale

Type: scale
Default: ""

undefined

dateTimeFormat

Type: string
Default: "YYYY-MM-DD HH:mm"

Format that the date and time are coming in, if using time data on the X scale.

generalWashoutColor

Type: color
Default: "#E4E5E5"

Fill color of any bubble that is not being hovered.

height

Type: number
Default: 250
Units: px

maxR

Type: number
Default: 15
Units: px

Max bubble radius. The max data point will scale to this size.

minR

Type: number
Default: 5
Units: px

Min bubble radius. The min data point will scale to this size.

rValFormatFunction

Type: function
Default: "function (val) {\n\n\t\t var result = helpers.summaryNumberToObject(val);\n\n\t\t return result.prefix + result.magnitude;\n\t\t}"

Function used to format rVal in tooltip.

shouldValidate

Type: boolean
Default: true

Flag for turning off data validation

tooltipBackgroundColor

Type: color
Default: "#555555"

Background color of the tooltip

tooltipFontFamily

Type: string
Default: "Open Sans"

tooltipFontSize

Type: number
Default: 12
Units: px

tooltipTextColor

Type: color
Default: "#FFFFFF"

Color of the tooltip text

updateSizeableConfigs

Type: boolean
Default: true

Flag for turning off the mimic of illustrator's scale functionality

width

Type: number
Default: 250
Units: px

xScaleType

Type: string
Default: "automatic"

Type of xScale

xValFormatFunction

Type: function
Default: "function (val) {\n\n\t\t var result = helpers.summaryNumberToObject(val);\n\n\t\t return result.prefix + result.magnitude;\n\t\t}"

Function used to format xVal in tooltip.

yValFormatFunction

Type: function
Default: "function (val) {\n\n\t\t var result = helpers.summaryNumberToObject(val);\n\n\t\t return result.prefix + result.magnitude;\n\t\t}"

Function used to format yVal in tooltip.

Data Definition

category

Type: string

Default validate:

function (d) {
	          return this.accessor(d) !== undefined;
	        }

Default accessor:

function (line) {
	          return String(line[3]);
	        }

r

Type: number

Default validate:

function (d) {
	          return !isNaN(this.accessor(d)) && this.accessor(d) >= 0;
	        }

Default accessor:

function (line) {
	          return Number(line[2]);
	        }

x

Type: number

Default validate:

function (d) {
	          return _Chart._xValidateFunctions[_xScaleType].call(this, d);
	        }

Default accessor:

function (line) {
	          return _Chart._xAccessorFunctions[_xScaleType].call(this, line);
	        }

y

Type: number

Default validate:

function (d) {
	          return !isNaN(this.accessor(d)) && this.accessor(d) >= 0;
	        }

Default accessor:

function (line) {
	          return Number(line[1]);
	        }

Events

Dispatch Events

External Events

Example

//Setup some fake data
var dataLinear = [
  [10, 2, 3, "North"],
  [20, 5, 6, "South"],
  [50, 8, 9, "East"],
  [60, 14, 15, "West"]
];

var dataTime = [
  ['2015-01-01', 2, 3, "North"],
  ['2015-02-01', 5, 6, "South"],
  ['2015-03-01', 8, 9, "East"],
  ['2015-04-01', 14, 5, "West"]
];

var dataOrdinal = [
  ['Jan', 2, 3, "North"],
  ['Feb', 5, 6, "South"],
  ['Mar', 8, 9, "East"],
  ['Apr', 14, 5, "West"]
];


var aHeight = 250;
var aWidth = 250;

//Initialze the widget
var chart = d3.select("#vis")
  .append("svg")
  .attr({
    height: '500px',
    width: '500px'
  })
  .append("g")
  .chart("ScatterPlot")
  .c({
    width: aWidth,
    height: aHeight
  });

//Render the chart with data
chart.draw(dataOrdinal);