muze


What is Muze?

Muze is a data visualization library which uses a layered Grammar of Graphics (GoG) to create composable and interactive data visualization for web. It uses a data-first approach to define the constructs and layers of the chart, automatically generates cross-chart interactivity, and allows you to over-ride any behavior or interaction on the chart.

Muze uses an in-browser DataModel to store and transform data, and control the behaviour of every component in the visualization, thereby enabling creating of complex and cross-connected charts.

Features

* 🚀 Build complex and interactive visualizations by using composable layer constructs.
* 🔨 Use rich data operators to transform, visualize and interact with data.
* 👯 Define custom interactions by configuring physical behavioural model and side effect.
* ✂️ Use css to change look and feel of the charts.
* ☀️ Have a single source of truth for all your visualization and interaction controlled from data.
* 🔩 Integrate easily with your existing application by dispatching actions on demand.

Installation

$3

Insert the muze build and the required CSS into the :

``html


`

$3

Install muze from NPM:

`bash
$ npm install --save muze
`

Also import the required stylesheet:

`javascript
import 'muze/dist/muze.css';
`

Getting started

1. Prepare the data and the corresponding schema using DataModel:

`javascript
// Prepare the schema for data
const schema = [
{
name: 'Name',
type: 'dimension'
},
{
name: 'Maker',
type: 'dimension'
},
{
name: 'Horsepower',
type: 'measure',
defAggFn: 'avg'
},
{
name: 'Origin',
type: 'dimension'
}
]

// Prepare the data
const data = [
{
"Name": "chevrolet chevelle malibu",
"Maker": "chevrolet",
"Horsepower": 130,
"Origin": "USA"
},
{
"Name": "buick skylark 320",
"Maker": "buick",
"Horsepower": 165,
"Origin": "USA"
},
{
"Name": "datsun pl510",
"Maker": "datsun",
"Horsepower": 88,
"Origin": "Japan"
}
]
`

2. Pass the data and schema to DataModel and create a new DataModel instance:

`javascript
const DataModel = muze.DataModel;
const dm = new DataModel(data, schema);
`

3. Pass the DataModel instance to muze and create your first chart:

`javascript
import muze from 'muze';
import 'muze/dist/muze.css';

// Create a global environment to share common configs across charts
const env = muze();
// Create a new canvas instance from the global environment
const canvas = env.canvas();
canvas
.data(dm)
.rows(["Horsepower"]) // Fields drawn on Y axis
.columns(["Origin"]) // Fields drawn on X axis
.mount("#chart"); // Specify an element to mount on using a CSS selector
``

See muzejs.org/docs for more documentation!

You also can checkout our Yeoman Generator generator-muze to try out the muze through a boilerplate app.

Documentation

You can find detailed tutorials, concepts and API references at muzejs.org/docs.

Support

Please raise a Github issue here.

Roadmap

Please contribute to our public wishlist or upvote an existing feature at Muze Public Wishlist & Roadmap

Contributing

Your PRs and stars are always welcome :). Checkout the Contributing guides.

License

MIT