calliope-chart v1.4.7
Documentation Overview
Getting Started
Installation
Use npm/yarn to install the libraries
npm install calliope-chartor
yarn add calliope-chartImport calliope-chart
import {AutoVis} from "calliope-chart";Usage
(1) Create a DOM element that the visualization will be attached to.
<div id="vis"></div>(2) Then, build your visualization specification.
var yourSpec = {...}(3) Finally, visualize the chart with the specification.
const autovis = new AutoVis();
autovis.container('#vis');
autovis.paragraph('#caption');
autovis.load(yourSpec);
autovis.generate();Single Visualization Specification
{
// Properties for data (Required)
"data": {
"url": ...,
"schema": [...]
},
// Properties for fact (Required)
"fact": {
"type": ...,
"subspace": [...],
"measure": [...],
"breakdown": [...],
"focus": [...]
},
// Properties for chart (Optional)
"chart": {
"size": ...,
"type": ...,
"style": ...,
"duration": ...,
"caption": ...,
}
}Properties for data
1. Data from URL
| Property | Type | Description |
|---|---|---|
| url | String | Required. A string describing the data source.For example: {"url": "data/cars.csv"} |
| schema | Object[] | An array of field objects. Default: [] |
2. Inline Data
| Property | Type | Description |
|---|---|---|
| values | Object[] | Required. The full data set, included inline.For example: {"values": [{"a": "A", "b": 28}, {"a": "B", "b": 55}, {"a": "C", "b": 43}]} |
| schema | Object[] | An array of field objects. Default: [] |
Properties for fact
| Property | Type | Description |
|---|---|---|
| type | String | Required. A string describing the fact type (one of "trend", "categorization", "value", "difference", "distribution", "proportion", "rank", "extreme", "outlier", and "association") |
| subspace | Object[] | Subspace describes the data scope of the fact, which is defined by a set of data filters.Default: [] |
| breakdown | Object[] | Breakdown is a set of temporal or categorical data fields based on which the data items in the subspace are further divided into groups. Default: according to the fact type. |
| measure | Object[] | Measure is a set of numerical data fields based on which we can retrieve a data value or calculate a derived value, such as count, sum, avg, min, or max, by aggregating the subspace or each data group. Default: according to the fact type. |
| focus | Object[] | Focus indicates a set of specific data items in the subspace that require attention. Default: according to the fact type. |
Properties for chart
| Property | Type | Description |
|---|---|---|
| size | String | A string describing the chart size (one of "small" (235x150), "middle" (360x200), "wide" (560x220), and "large" (640x640))Default: large |
| type | String | A string describing the chart type (one of "verticalbarchart", "horizentalbarchart", "progresschart", "areachart", "bubblechart", "bubblemap", "donutchart", "filledmap", "linechart", "piechart", "scatterplot", "treemap", "textchart", "isotypebar", "isotypecluster", "isotypeproportion")Default: Automatic recommendation based on fact |
| style | String | A string describing the chart style (one of "business", "comics", "pictograph", ...)Default: "business" |
| duration | Number | Time duration for chart animationDefault: 0 (static chart) |
| caption | String | A string describing the chartDefault: "" |
An Example
{
"data": {
"url": "url/carsales.csv",
"schema": [
{
"field": "Sales",
"type": "numerical"
},
{
"field": "Brand",
"type": "categorical"
},
{
"field": "Category",
"type": "categorical"
}
]
},
"fact": {
"type": "difference",
"subspace": [
{
"field": "Brand",
"value": "Hyundai"
}
],
"measure": [
{
"field": "Sales",
"aggregate": "sum"
}
],
"breakdown": [
{
"field": "Category"
}
],
"focus": [
{
"field": "Category",
"value": "SUV"
},
{
"field": "Category",
"value": "MPV"
}
]
},
"chart": {
"size": "large",
"type": "verticalbarchart",
"style": "business",
"duration": 1000
}
}3 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago