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@lgv/radar-chart

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@lgv/radar-chart

ES6 d3.js radar chart visualization

latest
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npmnpm
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0.0.8
Version published
Maintainers
1
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Radar Chart

ES6 d3.js radar chart visualization.

Install

# install package
npm install @lgv/radar-chart

Data Format

The following values are the expected input data structure.

{
    "series1": { "a": 6, "b": 10, "c": 30 },
    "series2": { "a": 10, "b": 40, "c": 5 },
    "series3": { "a": 0, "b": 3, "c": 2 }
}

Use Module

import { RadarChart } from "@lgv/radar-chart";

// have some data
let data = {
    "series1": { "a": 6, "b": 10, "c": 30 },
    "series2": { "a": 10, "b": 40, "c": 5 },
    "series3": { "a": 0, "b": 3, "c": 2 }
}

// initialize
const rc = new RadarChart(data);

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

Environment Variables

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

NameTypeDescription
LGV_LAYOUT_AXES_STARTfloatdegree start position where 0 == 12 o'clock
LGV_HEIGHTintegerheight of artboard
LGV_WIDTHintegerwidth of artboard

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-radar-charttop-level svg element
lgv-axisradar axis element
lgv-axis-gridaxis style for polar grid
lgv-axis-labelaxis label
lgv-gridcircular grid element
lgv-pointpolygon point
lgv-polygonradar series polygon element

Actively Develop

# clone repository
git clone <repo_url>

# update directory context
cd radar-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 rc = new RadarChart(data);
# add rc.render(document.body);
# replace `data` with whatever data you want to develop with

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

Keywords

visualization

FAQs

Package last updated on 20 Jan 2023

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