Vuesalize

What's the point?

Building interactive visualizations on the web can be hard, and it can be even harder when you would like to leverage existing visualization libraries inside a Vue.js project. The goal of Vuesalize is to simplify this process by providing a set of chart components (and a couple other components) that are commonly used in building interactive visualizations on the web. The charts are built using a combination of Vue.jsopen in new window and D3.jsopen in new window. The main rationale for this approach is to fully embrace the Vue paradigm and move the SVG definitions to the template (HTML), which allows Vue to handle creating and removing elements on the page. This is analogous to the "enter/update/exit" strategy used in D3 but specifically taking advantage of the virtual DOM. By building charts where the SVG is defined in Vue's template, we can not only send down props to update the chart, but can also emit events on interactions (e.g. click, mousover, etc.) and offer scoped slots for custom tooltips!

Installation

WARNING

Starting with version 1.0.1, Vuesalize will only support Vue 3. If you'd like to use Vuesalize with Vue 2, use the last available version 0.2.0.

The library is currently available on npm, and it is possible to use it with Vue CLI (recommended) or directly with the CDN version in a <script> tag.

Vue CLI

The steps to use is it in a project created using the Vue CLI are as follows:

Install from npm using npm install vuesalize
In main.js, import the Vuesalize plugin and install it using use(). Here is an example below for a project

import { createApp } from 'vue'
import App from './App.vue'

import 'vuesalize/dist/vuesalize.css'
import Vuesalize from 'vuesalize'

createApp(App).use(Vuesalize).mount('#app')

Start using the components in templates. For example, if the StackedBarChart and LoaderSpinning components were going to be used in a default App.vue file, this is how it would be setup:


<script setup>
   const barchartdata = [
      { "date": 2019, "Utilities": 21, "Rent": 16, "Insurance": 22 },
      { "date": 2020, "Utilities": 19, "Rent": 10, "Insurance": 17 },
   ]
</script>

<template>
   <loader-spinning />
   <StackedBarChart :plot-data="barchartdata"
                    x-key="date" />
</template>

<style scoped></style>

CDN

It is quite simple to get started with the CDN. The vuesalize javascript and css files need to be linked (lines 5 and 7 below). Then after creating an app instance app = createApp({...}), you can call app.use(Vuesalize) to install the plugin. As with other packages, it is also necessary to link the official Vue 3 package (line 6) before vuesalize.


<html lang="en">
<head>
   <meta charset="utf-8">
   <title>Browser test</title>
   <link rel="stylesheet" href="https://unpkg.com/vuesalize@2.1.7/dist/vuesalize.css">
   <script src="https://unpkg.com/vue@3/dist/vue.global.js"></script>
   <script src="https://unpkg.com/vuesalize@2.1.7/dist/vuesalize.umd.js"></script>
</head>
<body>
<div id="app">
   <loader-spinning></loader-spinning>
   <stacked-bar-chart :plot-data="barchartdata" x-key="date"></stacked-bar-chart>
</div>

<script>
   const { createApp } = Vue

   const app = createApp({
      data() {
         return {
            barchartdata: [
               { "date": 2019, "Utilities": 21, "Rent": 16, "Insurance": 22 },
               { "date": 2020, "Utilities": 19, "Rent": 10, "Insurance": 17 },
            ]
         }
      }
   })

   app.use(Vuesalize)

   app.mount('#app')

</script>
</body>
</html>

Examples of how each of the chart components can be used can be found in the sections below. Additionally, the SFC component templates can be retrieved from githubopen in new window

Charts

Stacked Bar Chart

Example

Here is a simple example that constructs a stacked bar chart representing a set of generic expenses.


<StackedBarChart :plot-data="plotData"
                 x-key="date"
                 :margin="{ top: 20, bottom: 35, left: 60, right: 20 }"
                 x-axis-label="Year"
                 y-axis-label="Expenses"
                 :y-tick-format="d => `$${d}`" />

Alternatively, it's possible to get a horizontal bar chart by passing in 'horizontal' for the direction prop.


<StackedBarChart :plot-data="plotData"
                 x-key="date"
                 direction="horizontal"
                 :margin="{ top: 20, bottom: 35, left: 60, right: 20 }"
                 x-axis-label="Expenses"
                 y-axis-label="Year"
                 :x-axis-label-shift="{ dx: 0, dy: -2}"
                 :y-axis-label-shift="{ dx: 0, dy: 5}"
                 :x-tick-format="d => `$${d}`" />

In order for the stacked bar chart to render properly, plot-data needs to be as an array of objects. There should be one key for the x value, and all the other keys will be for y values. The Budget3Groups.json data file (snippet below) that populates the example stacked bar chart has "date" for the x value, and "Utilities", "Rent", and "Insurance" for the y values. All the axis charts (bar charts, line charts, area charts) use the same format for data, making it easier to switch between them.

[
  {
    "date": "2019",
    "Utilities": 5921,
    "Rent": 1026,
    "Insurance": 2324
  },
  {
    "date": "2020",
    "Utilities": 1539,
    "Rent": 1560,
    "Insurance": 1257
  },
  ...
]

Props

Name	Required	Type	Default	Description
`plot-data`	✔️	`Array`		data necessary to create the chart
`x-key`	✔️	`String`		string that is the key of the x value in plotdata
`width`		`Number`	350px	chart width in pixels
`height`		`Number`	250px	chart height in pixels
`colors`		`Array`		array of colors used for each bar
`direction`		`String`	'vertical'	direction of the chart. can be 'vertical' or 'horizontal'
`bar-axis-location`		`String`	'bottom'	placement of the x-axis for horizontal layout. can be 'bottom' or 'top'
`margin`		`Object`		object that contains the top, bottom, right, and left margins
`enable-tooltip`		`Boolean`	True	Turn default tooltip on or off
`padding-between-bars`		`Number`	0.10	padding between the bars in a group. Must be between `0` and `1`
`x-axis-label`		`String`		Label for the x-axis
`y-axis-label`		`String`		Label for the y-axis
`x-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`y-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`x-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the x-axis
`y-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the y-axis
`x-min`		`Number`		Minimum value used for x scale
`x-max`		`Number`		Maximum value used for x scale
`y-min`		`Number`		Minimum value used for y scale
`y-max`		`Number`		Maximum value used for y scale
`x-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the x-axis
`y-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the y-axis

Events

Event	Location	Value Emitted	Description
`click`	Rectangle	`Object`	`x_label`, `y_label`, `x_value`, and `y_value` of the bar in the stack that is clicked on

Slots

We provide a default tooltip that gives the x and y value for the bar that is hovered over. If you want to define a slightly more custom tooltip, then the bar's data is passed up in a scoped slotopen in new window.

Slot name	Value	Type	Description
`tooltip`	`bar`	Object	contains `x_label`, `y_label`, `x_value`, and `y_value` keys of the bar in the stack that is hovered over

Grouped Bar Chart

Example

Here is an example using the same expenses data as the stacked bar chart above. In this case, the bars are grouped.


<GroupedBarChart :plot-data="plotdata"
                 x-key="date"
                 :width="450"
                 :height="300"
                 :margin="{ top: 20, bottom: 35, left: 55, right: 20 }"
                 x-axis-label="Year"
                 y-axis-label="Expenses"
                 :y-tick-format="d => `$${d}`" />

And, again, it's possible to get a horizontal bar chart by passing in 'horizontal' for the direction prop.


<GroupedBarChart :plot-data="plotdata" 
                 x-key="date"
                 :width="450" 
                 :height="300" 
                 :margin="margin"
                 x-axis-label="Expenses" 
                 y-axis-label="Year"
                 :x-axis-label-shift="{ dx: 0, dy: -2 }"
                 :y-axis-label-shift="{ dx: 0, dy: 5 }"
                 :x-tick-format="d => `$${d}`" />

Format of Data

In order for the stacked bar chart to render properly, plot-data needs to be as an array of objects. There should be one key for the x value, and all the other keys will be for y values. The Budget3Groups.json data file (snippet below) that populates the example grouped bar chart has "date" for the x value, and "Utilities", "Rent", and "Insurance" for the y values. All of the axis charts (bar charts, line charts, area charts) use the same format for data, making it easier to switch between them.

[
  {
    "date": "2019",
    "Utilities": 5921,
    "Rent": 1026,
    "Insurance": 2324
  },
  {
    "date": "2020",
    "Utilities": 1539,
    "Rent": 1560,
    "Insurance": 1257
  },
  ...
]

Props

Name	Required	Type	Default	Description
`plot-data`	✔️	`Array`		data necessary to create the chart
`x-key`	✔️	`String`		string that is the key of the x value in plotdata
`width`		`Number`	350px	chart width in pixels
`height`		`Number`	250px	chart height in pixels
`colors`		`Array`		array of colors used for each bar
`direction`		`String`	'vertical'	direction of the chart. can be 'vertical' or 'horizontal'
`bar-axis-location`		`String`	'bottom'	placement of the x-axis for horizontal layout. can be 'bottom' or 'top'
`padding-between-bars`		`Number`	0.15	padding between the bars in a group. Must be between `0` and `1`
`padding-between-groups`		`Number`	0.15	padding between the groups of bars. Must be between `0` and `1`
`margin`		`Object`		object that contains the top, bottom, right, and left margins
`enable-tooltip`		`Boolean`	True	Turn default tooltip on or off
`x-axis-label`		`String`		Label for the x-axis
`y-axis-label`		`String`		Label for the y-axis
`x-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`y-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`x-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the x-axis
`y-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the y-axis
`x-min`		`Number`		Minimum value used for x scale
`x-max`		`Number`		Maximum value used for x scale
`y-min`		`Number`		Minimum value used for y scale
`y-max`		`Number`		Maximum value used for y scale
`x-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the x-axis
`y-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the y-axis

Events

Slots

Line Chart

Simple Time Scale

The line chart component allows for one or more lines to be plotted. The default for x-axis scale is a time scale. Here is a simple example:


<LineChart :plot-data="plotData"
           x-key="date"
           :width="450"
           :height="250"
           :margin="{ top: 20, bottom: 30, left: 50, right: 20 }"
           :y-min="0"
           x-axis-label="Year" 
           y-axis-label="Expenses"
           :y-tick-format="d => `$${d}`" />

The format of the plot-data prop needs to be as an array of objects. There should be one key for the x value, and all the other keys will be for y values. The Budget3Groups.json data file (snippet below) that populates the example line chart has "date" for the x value, and "Utilities", "Rent", and "Insurance" for the y values. All the axis charts (bar charts, line charts, area charts) use the same format for data, making it easier to switch between them.

[
  {
    "date": "2019",
    "Utilities": 5921,
    "Rent": 1026,
    "Insurance": 2324
  },
  {
    "date": "2020",
    "Utilities": 1539,
    "Rent": 1560,
    "Insurance": 1257
  },
  ...
]

Linear Scale With Points

Using a linear scale instead of a time scale is as simple as passing the prop :use-time-scale-x-axis="false", and you can even show the points that create the line chart by passing in :show-points=true


<LineChart :plot-data="plotDataLinear"
           x-key="days"
           :width="450" 
           :height="250"
           :margin="margin"
           :use-time-scale-x-axis="false"
           :y-min="500"
           :x-axis-label-shift="{dy: -5}"
           x-axis-label="Days Since Start of New Program"
           y-axis-label="Expenses"
           :show-points="true"
           :point-radius="3"
           :y-tick-format="d => `$${d}`" />

Uncertainty Bounds

Lastly, you can also plot uncertainty bounds with the lines. The format of plot-data is similar but will need to be altered slightly to pass in the bounds. A sample of component code and data format are below the chart.


<LineChart
        :plot-data="UncertaintyData"
        x-key="days"
        :width="450"
        :height="250"
        :margin="margin"
        :y-min="0"
        x-axis-label="Days Since Launch"
        :x-axis-label-shift="{ dy: -6 }"
        y-axis-label="Revenue"
        :use-time-scale-x-axis="false"
        :y-tick-format="(d) => `$${d}`"
        :area-fill-opacity="0.5"
        :stroke-width="2.5" />

The format of plot-data in this case also needs to be an array of objects. The x values should all have the same x-key and the y values should be objects. The objects need lower, value, and upper keys in order to render the areas with lower and upper, and the line with value.

[
  {
    "days": 10,
    "Android": {
      "lower": 3221,
      "value": 3521,
      "upper": 3921
    },
    "iPhone": {
      "lower": 825,
      "value": 1021,
      "upper": 1321
    }
  },
  {
    "days": 20,
    "Android": {
      "lower": 1193,
      "value": 1593,
      "upper": 1793
    },
    "iPhone": {
      "lower": 1060,
      "value": 1860,
      "upper": 1960
    }
  },...
]

Props

Name	Required	Type	Default	Description
`plot-data`	✔️	`Array`		data necessary to create the chart
`x-key`	✔️	`String`		string that is the key of the x value in plotdata
`use-time-scale-x-axis`		`Boolean`	true	used to indicate whether a time scale or linear scale is used for x axis. if set to `true` pass in strings that can be converted to dates for x values
`width`		`Number`	350px	chart width in pixels
`height`		`Number`	250px	chart height in pixels
`colors`		`Array`		array of colors used for each line
`margin`		`Object`		object that contains the top, bottom, right, and left margins
`enable-tooltip`		`Boolean`	True	Turn default tooltip on or off
`stroke-width`		`Number`	2	stroke-width for areas
`x-axis-label`		`String`		Label for the x-axis
`y-axis-label`		`String`		Label for the y-axis
`x-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`y-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`x-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the x-axis
`y-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the y-axis
`y-min`		`Number`		Minimum value used for y scale
`y-max`		`Number`		Maximum value used for y scale
`x-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the x-axis
`y-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the y-axis
`show-points`		`Boolean`	`false`	Show points that construct the line chart
`point-radius`		`Number`	4	Radius of points if there shown with `show-points=true`
`area-fill-opacity`		`Number`	0.6	Fill opacity used for area uncertainty bounds

Events

Slots

The default tooltip that gives all of the values for the x value hovered over. If you want to define a slightly more custom tooltip, then the line's data is passed up in a scoped slotopen in new window.

Slot name	Value	Type	Description
`tooltip`	`row`	Object	contains the x key and all of the y keys for the x value that is hovered over

Area Chart

Example

Area charts are similar to line charts except the area under the curve is filled in. A simple area chart with two groups is rendered below


<AreaChart :plot-data="plotData"
           :width="500"
           :height="300"
           x-key="date"
           :margin="{ top: 20, bottom: 30, left: 55, right: 20 }"
           :colors="['#ac58e5','#E0488B']"
           x-axis-label="Year"
           y-axis-label="Expenses"
           :y-tick-format="d => `$${d}`" />

In order to get a stacked area chart, set the stacked prop to true


<AreaChart :plot-data="plotData"
           :stacked="true"
           :width="500"
           :height="300"
           x-key="date"
           :margin="{ top: 20, bottom: 30, left: 55, right: 20 }"
           :colors="['#ac58e5','#E0488B']"
           x-axis-label="Year"
           y-axis-label="Expenses"
           :y-tick-format="d => `$${d}`" />

Format of Data

In order for the stacked bar chart to render properly, plot-data needs to be as an array of objects. There should be one key for the x value, and all the other keys will be for y values. The Budget3Groups.json data file (snippet below) that populates the example area chart has date for the x value, and Utilities, Rent, and Insurance for the y values. All axis charts (bar charts, line charts, area charts) use the same format for data, making it easier to switch between them.

[
  {
    "date": "2019",
    "Utilities": 5921,
    "Rent": 1026,
    "Insurance": 2324
  },
  {
    "date": "2020",
    "Utilities": 1539,
    "Rent": 1560,
    "Insurance": 1257
  },
  ...
]

Props

Name	Required	Type	Default	Description
`plot-data`	✔️	`Array`		data necessary to create the chart
`x-key`	✔️	`String`		string that is the key of the x value in plotdata
`width`		`Number`	350px	chart width in pixels
`height`		`Number`	250px	chart height in pixels
`colors`		`Array`		array of colors used for areas
`margin`		`Object`		object that contains the top, bottom, right, and left margins
`stacked`		`Boolean`		changes to stacked area chart
`fill-opacity`		`Number`	0.65	fill opacity for each path, must be between 0 and 1
`stroke-width`		`Number`	2	stroke-width for areas
`x-axis-label`		`String`		Label for the x-axis
`y-axis-label`		`String`		Label for the y-axis
`x-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`y-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`x-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the x-axis
`y-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the y-axis
`x-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the x-axis
`y-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the y-axis
`y-min`		`Number`		Minimum value used for y scale
`y-max`		`Number`		Maximum value used for y scale

Events

Slots

The default tooltip that gives all of the values for the x value hovered over. If you want to define a slightly more custom tooltip, then the area's data is passed up in a scoped slotopen in new window.

Slot name	Value	Type	Description
`tooltip`	`row`	Object	contains the x key and all of the y keys for the x value that is hovered over

Scatter Plot

Example

A scatter plot helps display relationships between two variables in a plot. Transitions are built in for moving the points around, as well transitioning the fill, radius, etc. Click the update data button below to see this in action!


<ScatterPlot :plotData="plotData"
             x-key="profit"
             y-key="utility"
             :margin="{ top: 20, bottom: 40, right: 20, left: 50 }"
             :width="400"
             y-axis-label="Utility"
             x-axis-label="Profit"
             :x-axis-label-shift="{ dx: 5, dy: -5}"
             stroke="#ff3000"
             fill="#ff3000"
             :fill-opacity="0.60"
             :x-tick-format="d => `$${d}`" />

It is possible to add a contour plot below the scatterplot points by passing in summary="contour". More summary types will be added in the future. You can also fine tune the contour plot by passing in an object to the summary-options prop with any of the contour plots available props.


<ScatterPlot
        :plotData="plotData"
        summary="contour"
        :summary-options="{}"
        xKey="profit"
        yKey="utility"
        :margin="margin"
        :height="height"
        :width="width"
        y-axis-label="Utility"
        x-axis-label="Profit"
        :x-axis-label-shift="{ dx: 5, dy: -5 }"
        stroke="#fff"
        fill="white"
        :fill-opacity="0.7"
        :radius="3.5"
        :x-tick-format="(d) => `$${d}`" />

Format of Data

The data format required for the plot-data prop is an array of objects. each object should contain the x and y values for each point, and these can be specified by the x-key and y-key keys. Additionally, passing in styling values in each object offers more fine-grained control as opposed to setting one consistent style in the props (e.g. passing in different fill values for each point instead of passing in one fill value as a prop). The table below has all the possible keys that can be included for an objects

Name	Required	Type	Description
`[x-key]`	✔️	`String`	x value for the point
`[y-key]`	✔️	`String`	y value for the point
`radius`		`Number`	radius of the point
`fill`		`String`	fill of the point
`fillOpacity`		`Number`	fill opacity of the point
`stroke`		`String`	stroke of the point
`strokeOpacity`		`Number`	stroke opacity of the point
`strokeWidth`		`Number`	stroke width of the point
`label`		`String`	text that can be added on top of the point
`labelColor`		`String`	text color of label
`labelSize`		`Number`	size of label

Here is a snippet of the data that the example scatterplot above uses

[
  {
    "profit": 103,
    "utility": 9,
    "radius": 5,
    "fill": "#ff3000"
  },
  {
    "profit": 359,
    "utility": 54,
    "radius": 5,
    "fill": "#ff3000"
  },
  ...
]

Props

Name	Required	Type	Default	Description
`plot-data`	✔️	`Array`		data necessary to create the chart
`x-key`	✔️	`String`		string that is the key of the x values in plotdata
`y-key`	✔️	`String`		string that is the key of the y values in plotdata
`width`		`Number`	350px	chart width in pixels
`height`		`Number`	250px	chart height in pixels
`margin`		`Object`		object that contains the top, bottom, right, and left margins
`radius`		`Number`	5	radius for all points
`fill`		`String`	black	fill for all points
`fill-opacity`		`Number`	1	fill opacity for all points, must be between 0 and 1
`stroke`		`String`	black	stroke for all points
`stroke-opacity`		`Number`	1	stroke opacity for all points, must be between 0 and 1
`stroke-width`		`Number`	1	stroke width for all points
`x-axis-label`		`String`		Label for the x-axis
`y-axis-label`		`String`		Label for the y-axis
`x-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`y-axis-label-shift`		`Object`		Takes `dx` and `dy` keys that move the location label
`x-axis-translate`		`Number`	0	Value that translates the x-axis starting from bottom
`y-axis-translate`		`Number`	0	Value that translates the y-axis starting from left
`x-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the x-axis
`y-tick-format`		`Function`	`null`	Function passed into d3's tickFormatopen in new window for the y-axis
`x-min`		`Number`		Minimum value used for x scale
`x-max`		`Number`		Maximum value used for x scale
`y-min`		`Number`		Minimum value used for y scale
`y-max`		`Number`		Maximum value used for y scale
`x-tick-values`		`Array`	`null`	Argument passed into d3's ticksValuesopen in new window for the x-axis
`y-tick-values`		`Array`	`null`	Argument passed into d3's ticksValuesopen in new window for the y-axis
`x-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the x-axis
`y-ticks`		`Number`	5	Argument passed into d3's ticksopen in new window for the y-axis
`label-color`		`String`	black	Text color of all labels
`label-size`		`Number`	10	Size of all labels
`summary`		`String`	`null`	Add summary under points. Available options: contour
`summary-options`		`Object`		Props that can be passed to underlying summary. Same as `ContourPlot` props
`show-points`		`Boolean`	`true`	Show/hide all points. Useful to display summary with axes and not display any of the points
`show-x-axis`		`Boolean`	`true`	Show/hide x axis. Useful to optimize summary plots if not planning to use points or axes.
`show-y-axis`		`Boolean`	`true`	Show/hide y axis. Useful to optimize summary plots if not planning to use points or axes.

Events

Event	Location	Value Emitted	Description
`click`	Circle	`Object`	the object in the array that is clicked on for the circle will be emitted

Slots

Slot name	Value	Type	Description
`tooltip`	`row`	Object	contains `point` and `event` objects for point that is hovered over

Contour Plot

Example

Contour plots display relationships between 3 variables by plotting the "surface" on a 2d plane. The component actually performs a 2D KDE (using the fast-kdeopen in new window package) under the hood on the points passed in. Play with the width and height sliders below to see the plot change size while maintaining its aspect ratio!


<template>
  <ContourPlot
    x-key="profit"
    y-key="utility"
    :width="width"
    :height="height"
    :use-thresholds="false"
    :plot-data="plotData">
  </ContourPlot>
</template>

<script>
  import plotData from "./ScatterPlotData.json"

  export default {
    name: "ContourPlotExample",
    data() {
      return {
        plotData,
        width: 300,
        height: 300,
      }
    },
  }
</script>

Format of Data

Name	Required	Type	Description
`[x-key]`	✔️	`String`	x value for the point
`[y-key]`	✔️	`String`	y value for the point

Here is a snippet of the data that the example scatterplot above uses

[
  {
    "profit": 103,
    "utility": 9
  },
  {
    "profit": 359,
    "utility": 54
  },
  ...
]

Props

Name	Required	Type	Default	Description
`plot-data`	✔️	`Array`		data necessary to create the chart
`x-key`	✔️	`String`		string that is the key of the x values in plotdata
`y-key`	✔️	`String`		string that is the key of the y values in plotdata
`width`		`Number`	256	chart width in pixels
`height`		`Number`	256	chart height in pixels
`bins`		`Array`	[256,256]	number of bins used for internal grid and is passed into fast-kdeopen in new window bins argument
`bandwidth`		`Array`		requires array of two numbers (e.g. [1, 1]). bandwidth passed in to fast-kdeopen in new window bandwidth argument.
`color-scale`		`Function`		d3 scaleopen in new window that is used for coloring the contours
`use-thresholds`		`Boolean`	true	determines whether to use exact thresholds from color scale. does not require an explicit `color-scale` prop to be passed in. setting to `false` will result in smoother contours

Events

Slots

Donut Chart

Under construction...

Additional Components

Basic Legend

Example

Legends are useful for many charts and a simple component is provided in the library. The examples below show how to use the component in both the vertical and horizontal alignments. The vertical legend also has the enable-toggle prop added, which allows the legend to be used like a set of checkboxes by emitting a click event with the selected objects' data.

Horiztonal

Utilities
Rent
Insurance

Vertical

Utilities
Rent
Insurance


<template>
  <div>
    <p>Horiztonal</p>
    <BaseLegend :legend-data="legendData"
                :alignment="'horizontal'" />

    <p>Vertical</p>
    <BaseLegend :legend-data="legendDataToggleEnabled"
                :alignment="'vertical'"
                enable-toggle />
  </div>
</template>

<script>
  export default {
    name: "BaseLegendExample",
    data() {
      return {
        legendData: [
          { name: "Utilities", color: '#717e9b' },
          { name: "Rent", color: '#b6b6db' },
          { name: "Insurance", color: '#bcd8f1' }
        ],
        legendDataToggleEnabled: [
          { name: "Utilities", color: '#717e9b', selected: true },
          { name: "Rent", color: '#b6b6db' },
          { name: "Insurance", color: '#bcd8f1', selected: true }
        ]
      }
    }
  }
</script>

Format of Data

The legend component takes in a simple array of objects that contains name and color keys. If enable-toggle is set to true, then a selected key can also be passed in with true or false values.

[
  {
    "name": "Utilities",
    "color": "#717e9b"
  },
  {
    "name": "Rent",
    "color": "#b6b6db"
  },
  {
    "name": "Insurance",
    "color": "#bcd8f1"
  }
]

Props

Name	Required	Type	Default	Description
`legend-data`	✔️	`Object`		data necessary to create the legend
`alignment`		`String`	'horizontal'	Two options for alignment: 'vertical' or 'horizontal'
`enable-toggle`		`Boolean`	false	allows the items in the legend to be clickable and emits the object on click

Events

Event	Location	Value Emitted	Description
`click`	Marker or text	`Object`	If `enable-toggle` prop is true, the entire item object (name and color) is emitted
`keypress.space`	Marker	`Object`	If `enable-toggle` prop is true and the marker to tabbed to on the keyboard, the entire item object (name and color) is emitted

Loading Spinner

The loading spinner is useful when data is being fetched from an API and there is some lag before the GUI receives it.

Example


<LoaderSpinning />

Props

Name	Required	Type	Default	Description
`radius`		`Number`	64	radius (in px) of the loading spinner
`color`		`String`	`#fff`	color of the loading spinner borders

Component Parts

Tooltips

Default tooltips are provided for some of the charts, which make it easy to get up and running quickly. However, it is common for users to want to define a slightly more custom tooltip that might better fit their needs. This can be done with Slotsopen in new window and Scoped Slotsopen in new window. Each chart that has a default tooltip will also have a slot that passes up data about the part of the chart that is hovered on.

Example

Here is an example that defines a custom tooltip for the same stacked bar chart using the x_label, y_label, x_value, and y_value of the bar that is hovered over, which are destructuredopen in new window from the tooltip slot


<template>
  <StackedBarChart :width="350" :height="250" :plot-data="plotData"
                   :margin="margin" x-key="date"
                   x-axis-label="Year" y-axis-label="Expenses"
                   :y-tick-format="d => `$${d}`">
    <template v-slot:tooltip="{ bar }">
      <p>Here are values when you hover over a bar</p>
      <p>{{ bar.x_label }}, {{ bar.y_label }}, {{ bar.x_value }}, {{ bar.y_value }}</p>
    </template>
  </StackedBarChart>
</template>

<script>
  import SBCdata from './Budget3Groups.json'

  export default {
    name: "StackedBarChartExample",
    data() {
      return {
        plotData: SBCdata,
        margin: { top: 20, bottom: 35, left: 60, right: 20 },
      }
    }
  }
</script>

Annotations

The axis based plots also have the ability to add annotations.

Example

The chart below shows adding a horizontal dashed line to stacked bar chart which might indicate, for example, a max budget line.


<template>
  <StackedBarChart :plot-data="plotData" x-key="date"
                   :margin="margin" x-axis-label="Year" y-axis-label="Expenses"
                   :annotations="annotations" :y-tick-format="d => `$${d}`">
  </StackedBarChart>
</template>

<script>
  import SBCdata from './Budget3Groups.json'

  export default {
    name: "StackedBarChartExample",
    data() {
      return {
        plotData: SBCdata,
        margin: { top: 20, bottom: 35, left: 55, right: 70 },
        annotations: [
          {
            type: "line", axis: "y", color: "#ef0202", value: 8000, dash: true,
            label: 'Max Budget', labeldx: 35, labeldy: -6
          }]
      }
    }
  }
</script>

Another example here adds two vertical lines to a line chart indicating specific start and end dates of money allocated to marketing expenses, and the point at which sales peaked in 2022.


<template>
  <LineChart :plot-data="plotData" x-key="date"
             :width="450" :height="250" :margin="margin"
             x-axis-label="Year" y-axis-label="Expenses"
             :annotations="annotations" :y-tick-format="d => `$${d}`">
  </LineChart>
</template>

<script>
  import LCdata from "./Budget3Groups.json";

  export default {
    name: "LineChartExample",
    data() {
      return {
        plotData: LCdata,
        margin: { top: 20, bottom: 30, left: 50, right: 20 },
        annotations: [
          {
            type: "line",
            axis: "x",
            color: "#b3080e",
            label: "Start Date",
            labeldy: -5,
            value: new Date(2019, 6, 0)
          },
          {
            type: "line",
            axis: "x",
            color: "#b3080e",
            label: "End Date",
            labeldy: -5,
            value: new Date(2020, 6, 0)
          },
          {
            type: "circle",
            center: [new Date(2022, 0, 0), 4900],
            radius: 17,
            dash: true,
            color: "purple",
            label: "Peak Sales",
            labeldy: -25
          }
        ]
      };
    }
  };
</script>

Format

Annotations need to be an array of objects, even if it is only one object. The annotation object requires the following properties given each annotation type

Lines

Name	Required	Type	Default	Description
`type`	✔️	`String`		type of annotation, current options: `line`, `rect`, `circle`
`axis`	✔️	`String`		options: "x" or "y"
`value`	✔️	`Number`		value on the x or y axis
`color`		`String`	black	color name, hex code, or rgb value
`dash`		`Boolean`	False	whether line should have dashes or not
`label`		`String`		label used for annotation
`labelAnchor`		`String`	'middle'	text-anchor property for label. can be 'start', 'end' or 'middle'
`labeldx`		`Number`		shift label in x direction
`labeldy`		`Number`		shift label in y direction

Circles

Name	Required	Type	Default	Description
`type`	✔️	`String`		type of annotation, current options: `line`, `rect`, `circle`
`center`	✔️	`Array`		center of rect. array of [x, y], e.g. [150, 200]
`radius`	✔️	`Number`		radius of circle
`color`		`String`	black	color name, hex code, or rgb value
`dash`		`Boolean`	False	whether line should have dashes or not
`label`		`String`		label used for annotation
`labelAnchor`		`String`	'middle'	text-anchor property for label. can be 'start', 'end' or 'middle'
`labeldx`		`Number`		shift label in x direction
`labeldy`		`Number`		shift label in y direction

Rectangles

Name	Required	Type	Default	Description
`type`	✔️	`String`		type of annotation, current options: `line`, `rect`, `circle`
`center`	✔️	`Array`		center of rect. array of [x, y], e.g. [150, 200]
`width`	✔️	`Number`		width of rect.
`height`	✔️	`Number`		height of rect
`color`		`String`	black	color name, hex code, or rgb value
`dash`		`Boolean`	False	whether line should have dashes or not
`label`		`String`		label used for annotation
`labelAnchor`		`String`	'middle'	text-anchor property for label. can be 'start', 'end' or 'middle'
`labeldx`		`Number`		shift label in x direction
`labeldy`		`Number`		shift label in y direction
`useScale`		`Boolean`	False	use same x and y scales when projecting the rectangle on the plot

# Vuesalize

# What's the point?

# Installation

# Vue CLI

# CDN

# Charts

# Stacked Bar Chart

# Example

# Props

# Events

# Slots

# Grouped Bar Chart

# Example

# Format of Data

# Props

# Events

# Slots

# Line Chart

# Simple Time Scale

# Linear Scale With Points

# Uncertainty Bounds

# Props

# Events

# Slots

# Area Chart

# Example

# Format of Data

# Props

# Events

# Slots

# Scatter Plot

# Example

# Format of Data

# Props

# Events

# Slots

# Contour Plot

# Example

# Format of Data

# Props

# Events

# Slots

# Donut Chart

# Additional Components

# Basic Legend

# Example

# Format of Data

# Props

# Events

# Loading Spinner

# Example

# Props

# Component Parts

# Tooltips

# Example

# Annotations

# Example

# Format

# Lines

# Circles

# Rectangles

Vuesalize

What's the point?

Installation

Vue CLI

CDN

Charts

Stacked Bar Chart

Example

Props

Events

Slots

Grouped Bar Chart

Example

Format of Data

Props

Events

Slots

Line Chart

Simple Time Scale

Linear Scale With Points

Uncertainty Bounds

Props

Events

Slots

Area Chart

Example

Format of Data

Props

Events

Slots

Scatter Plot

Example

Format of Data

Props

Events

Slots

Contour Plot

Example

Format of Data

Props

Events

Slots

Donut Chart

Additional Components

Basic Legend

Example

Format of Data

Props

Events

Loading Spinner

Example

Props

Component Parts

Tooltips

Example

Annotations

Example

Format

Lines

Circles

Rectangles