0.2.4 • Published 2 years ago

@lgv/stacked-column-chart v0.2.4

Weekly downloads
-
License
MIT
Repository
gitlab
Last release
2 years ago

Stacked Column Chart

ES6 d3.js stacked column chart visualization.

Install

# install package
npm install @lgv/stacked-column-chart

Data Format

The following values are the expected input data structure; the keys will be used as the item's id.

{
    "someKey": { "a": 445, "b": 4, "c": 10 },
    "someKey2": { "a": 300, "b": 200, "c": 5 }
}

Use Module

import { StackedColumnChart } from "@lgv/stacked-column-chart";

// have some data
let data = {
    "someKey": { "a": 445, "b": 4, "c": 10 },
    "someKey2": { "a": 300, "b": 200, "c": 5 }
};

// initialize
const scc = new StackedColumnChart(data);

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

Environment Variables

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

NameTypeDescription
LGV_HEIGHTintegerheight of artboard
LGV_WIDTHintegerwidth of artboard

Events

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

TargetNameEvent
column rectcolumn-clickon click
column rectcolumn-mouseoveron hover
column rectcolumn-mousemouton 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.

ClassElement
lgv-stacked-column-charttop-level svg element
lgv-contentcontent inside artboard inside padding
lgv-columncolumn chart column
lgv-column-labelcolumn chart column label
lgv-seriescolumn chart series

Actively Develop

# clone repository
git clone <repo_url>

# update directory context
cd stacked-column-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 scc = new StackedColumnChart(data);
# add scc.render(document.body);
# replace `data` with whatever data you want to develop with

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