@lgv/bubble-chart

Bubble Chart

ES6 d3.js bubble chart visualization.

Install

# install package
npm install @lgv/bubble-chart

Data Format

The following values are the expected input data structure; id can be omitted.

[
    {
        "id": 1,
        "label": "xyz",
        "value": 1
    },
    {
        "id": 2,
        "label": "abc",
        "value": 3
    }
]

Use Module

import { BubbleChart } from "@lgv/bubble-chart";

// have some data
let data = [
    {
        "id": 1,
        "label": "xyz",
        "value": 1
    },
    {
        "id": 2,
        "label": "abc",
        "value": 3
    }
];

// initialize
const bc = new BubbleChart(data);

// render visualization
bc.render(document.body);

Environment Variables

The following values can be set via environment or passed into the class.

Name	Type	Description
LGV_HEIGHT	integer	height of artboard
LGV_WIDTH	integer	width of artboard

Events

The following events are dispatched from the svg element. Hover events toggle a class named active on the element.

Target	Name	Event
bubble circle	bubble-click	on click
bubble circle	bubble-mouseover	on hover
bubble circle	bubble-mousemout	on un-hover

Style

Style is expected to be addressed via css. Any style not met by the visualization module is expected to be added by the importing component.

Class	Element
lgv-bubble	circle element
lgv-bubble-chart	top-level svg element
lgv-bubble-label	circle text label element
lgv-bubble-label-partial	individual stacked lines of circle text label element
lgv-node	circle/text group element

Actively Develop

# clone repository
git clone <repo_url>

# update directory context
cd bubble-chart

# run docker container
docker run \
  --rm \
  -it  \
  -v $(pwd):/project \
  -w /project \
  -p 8080:8080 \
  node \
  bash

# FROM INSIDE RUNNING CONTAINER

# install module
npm install .

# run development server
npm run startdocker

# edit src/index.js
# add const sbc = new BubbleChart(data);
# add sbc.render(document.body);
# replace `data` with whatever data you want to develop with

# view visualization in browser at http://localhost:8080