Creating scatter plots

Note: Where possible, use qlik-embed and qlik/api rather than this framework.

The scatter plot uses bubbles or dots to represent values of two or three measures over a dimension. The first measure is for bubble’s position on the horizontal axis, the second measure is for the bubble’s position on the vertical axis, and the third measure (if any) is for the bubble’s size. The scatter plot is normally used to observe relationships among measures.

Learn more about the scatter plot chart, or review the scatter plot chart API specification.

// Configure nucleus
const nuked = window.stardust.embed(app, {
  context: { theme: "light" },
  types: [
    {
      name: "scatterplot",
      load: () => Promise.resolve(window["sn-scatter-plot"]),
    },
  ],
});
// Rendering a scatter plot on the fly
nuked.render({
  type: "scatterplot",
  element: document.querySelector(".scatterplot"),
  fields: [
    "Alpha",
    "=Sum(Expression1)",
    "=Sum(Expression2)",
    "=Sum(Expression3)",
  ],
  options: {
    direction: "ltr",
    freeResize: true,
  },
  properties: {
    color: { mode: "byDimension" }, // overrides default properties
  },
});

Options

direction - ltr/rtl
freeResize - in conjunction with snapshotData on layout, lets the chart ignore size set on snapshotData

Requirements

Requires @nebula.js/stardust version 2.3.0 or later.

Installing

If you use npm: npm install @nebula.js/sn-scatter-plot. You can also load through the script tag directly from https://unpkg.com.

More examples

Color bubbles by an expression

nuked.render({
  element: document.getElementById("object"),
  type: "scatterplot",
  fields: ["Alpha", "=Sum(Expression2)"],
  properties: {
    qHyperCubeDef: {
      qMeasures: [
        {
          qDef: {
            qDef: "Sum(Expression1)",
          },
          qAttributeExpressions: [
            {
              // Insert color expression
              qExpression:
                "if(sum(Expression2) > 0.0096*sum(Expression1), 'red', 'green')",
              id: "colorByExpression",
            },
          ],
        },
      ],
    },
    color: {
      auto: false,
      mode: "byExpression",
      expressionIsColor: true,
    },
  },
});

nuked.render({
  element: document.getElementById("object"),
  type: "scatterplot",
  fields: ["Alpha", "=Sum(Expression1)", "=Sum(Expression2)"],
  properties: {
    navigation: true,
  },
});

Binned data is turned on automatically if there are more than 1000 data points

When zoomed in or panned outside of the home view, the chart shows an interactive mini map and home button to help with navigating and resetting the view.

nuked.render({
  element: document.getElementById("object"),
  type: "scatterplot",
  fields: ["TransID", "=Sum(Expression1)", "=Sum(Expression2)"],
  properties: {
    compressionResolution: 2, // queryLevel of bins, smaller number <-> more points per bin
  },
});

Best fit line can be turned on

Supported types:

Linear
Average
Second degree polynomial
Third degree polynomial
Forth degree polynomial
Exponential
Logarithmic
Power

const nuked = window.stardust.embed(app, {
  context: { theme: "light" },
  types: [
    {
      name: "scatterplot",
      load: () => Promise.resolve(window["sn-scatter-plot"]),
    },
  ],
});

nuked.render({
  element: document.getElementById("object"),
  type: "scatterplot",
  properties: {
    qHyperCubeDef: {
      qDimensions: [
        {
          qDef: {
            qFieldDefs: ["Alpha"],
          },
        },
      ],
      qMeasures: [
        {
          qDef: {
            qDef: "Sum(Expression1)",
          },
        },
        {
          qDef: {
            qDef: "Sum(Expression2)",
          },
          qTrendLines: [
            {
              qType: "LINEAR",
              qXColIx: 1, // The column in the hypercube to be used as x axis.
              style: {
                autoColor: true,
                dashed: true,
                lineDash: "8, 4",
              },
            },
          ],
        },
      ],
    },
  },
});