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LineUp.js: Visual Analysis of Multi-Attribute Rankings

LineUp is an interactive technique designed to create, visualize and explore rankings of items based on a set of heterogeneous attributes.

Key Features

• scalable (~1M rows)
• heterogenous attribute types (string, numerical, categorical, boolean, date)
• composite column types (weighted sum, min, max, mean, median, impose, nested, ...)
• array (multi value) and map column types (strings, stringMap, numbers, numberMap, ...)
• filtering capabilities
• hierarchical sorting (sort by more than one sorting criteria)
• hierarchical grouping (split rows in multiple separate groups)
• group aggregations (show a whole group as a single group row)
• numerous visualizations for summaries, cells, and group aggregations
• side panel for easy filtering and column management
• React, Angular, Vue.js, Polymer, RShiny, Juypter, ObservableHQ, and Power BI wrapper
• Demo Application with CSV import and export capabilities
• API Documentation based on generated TypeDoc documenation

Usage

Installation

npm install lineupjs

Minimal Usage Example

// generate some data
const arr = [];
const cats = ['c1', 'c2', 'c3'];
for (let i = 0; i < 100; ++i) {
  arr.push({
    a: Math.random() * 10,
    d: 'Row ' + i,
    cat: cats[Math.floor(Math.random() * 3)],
    cat2: cats[Math.floor(Math.random() * 3)],
  });
}

const lineup = LineUpJS.asLineUp(document.body, arr);

CodePen

Advanced Usage Example

// arr from before
const builder = LineUpJS.builder(arr);

// manually define columns
builder
  .column(LineUpJS.buildStringColumn('d').label('Label').width(100))
  .column(LineUpJS.buildCategoricalColumn('cat', cats).color('green'))
  .column(LineUpJS.buildCategoricalColumn('cat2', cats).color('blue'))
  .column(LineUpJS.buildNumberColumn('a', [0, 10]).color('blue'));

// and two rankings
const ranking = LineUpJS.buildRanking()
  .supportTypes()
  .allColumns() // add all columns
  .impose('a+cat', 'a', 'cat2'); // create composite column
  .groupBy('cat')
  .sortBy('a', 'desc')


builder
  .defaultRanking()
  .ranking(ranking);

const lineup = builder.build(document.body);

CodePen

Supported Browsers

• Chrome 64+ (best performance)
• Firefox 57+
• Edge 16+

Demo Application

A demo application is located at lineup_app. It support CSV Import, CSV Export, JSON Export, CodePen Export, nad local data management.

The application is deployed at https://lineup.js.org/app

API Documentation

LineUp is implemented in clean TypeScript in an object oriented manner. A fully generated API documentation based on TypeDoc is available at https://lineup.js.org/master/docs

LineUp can be build manually or using via the builder design pattern (see Advanced Usage Example). The builder design pattern in the more common way.

LineUp Builder

The simplest methods to create a new instance are:

• asLineUp returning a ready to use LineUp instance

  asLineUp(node: HTMLElement, data: any[], ...columns: string[]): LineUp
  

• asTaggle returning a ready to use Taggle instance

  asTaggle(node: HTMLElement, data: any[], ...columns: string[]): Taggle
  

• builder returning a new DataBuilder

  builder(arr: any[]): DataBuilder`
  

The DataBuilder allows on the one hand to specify the individual columns more specificly and the creation of custom rankings.

Builder factory functions for creating column descriptions include:

• buildStringColumn returning a new StringColumnBuilder

  buildStringColumn(column: string): StringColumnBuilder
  

• buildNumberColumn returning a new NumberColumnBuilder

  buildNumberColumn(column: string, domain?: [number, number]): NumberColumnBuilder
  

• buildCategoricalColumn returning a new CategoricalColumnBuilder

  buildCategoricalColumn(column: string, categories?: (string | Partial)[]): CategoricalColumnBuilder
  

• buildHierarchicalColumn returning a new HierarchyColumnBuilder

  buildHierarchicalColumn(column: string, hierarchy?: IPartialCategoryNode): HierarchyColumnBuilder
  

• buildDateColumn returning a new DateColumnBuilder

  buildDateColumn(column: string): DateColumnBuilder
  

• buildActionsColumn returning a new ActionsColumnBuilder

  buildActionsColumn(): ActionsColumnBuilder
  

In order to build custom rankings within the DataBuilder the buildRanking returning a new RankingBuilder is used.

buildRanking(): RankingBuilder

LineUp classes and manual creation

The relevant classes for creating a LineUp instance manually are LineUp, Taggle, and LocalDataProvider. A LocalDataProvider is an sub class of ADataProvider implementing the data model management based on a local JavaScript array. LineUp and Taggle are the visual interfaces to the LocalDataProvider.

The classes can be instantiated either using the factory pattern or via their regular class constructors:

createLineUp(container: HTMLElement, data: ADataProvider, config?: Partial): LineUp

createTaggle(container: HTMLElement, data: ADataProvider, config?: Partial): Taggle

createLocalDataProvider(data: any[], columns: IColumnDesc[], options?: Partial): LocalDataProvider

new LineUp(node: HTMLElement, data: DataProvider, options?: Partial): LineUp
new Taggle(node: HTMLElement, data: DataProvider, options?: Partial): Taggle
new LocalDataProvider(data: any[], columns?: IColumnDesc[], options?: Partial): LocalDataProvider

Both LineUp and Taggle are sub classes of ALineUp. The most important functions of this class include:

• getHighlight(): number / setHighlight(dataIndex: number): void to get and set the highlighted row identified by its index in the data. If none is highlighted -1 is returned.
• getSelection(): number[] / setSelection(dataIndices: number[]): void to get and set the selected rows identified by their indices in the data
• on(type: string, listener: IEventListener | null): this to listen to highlight and selection events. LineUp.js event mechanism is based on d3 dispatch, thus instead of and off method null is passed to disable listening to the event. The following events are sent out:
  • highlightChanged(dataIndex: number): void
  • selectionChanged(dataIndices: number[]): void

React Support (LineUp.jsx)

A React wrapper is located at lineupjsx.

Installation

npm install --save lineupjsx

Minimal Usage Example

// generate some data
const arr = [];
const cats = ['c1', 'c2', 'c3'];
for (let i = 0; i < 100; ++i) {
  arr.push({
    a: Math.random() * 10,
    d: 'Row ' + i,
    cat: cats[Math.floor(Math.random() * 3)],
    cat2: cats[Math.floor(Math.random() * 3)],
  });
}

CodePen

Result is same as the builder minimal example

Advanced Usage Example

// arr from before

  
  
  
  

  
    
    
    
  

CodePen

Result is same as the builder advanced example

Angular 6 Support (nglineup)

An Angular wrapper is located at nglineup.

Installation

npm install --save nglineup

Minimal Usage Example

app.module.ts:

import { BrowserModule } from '@angular/platform-browser';
import { NgModule } from '@angular/core';
import { LineUpModule } from '../lib/lineup.module';

import { AppComponent } from './app.component.1';

@NgModule({
  declarations: [AppComponent],
  imports: [BrowserModule, LineUpModule],
  providers: [],
  bootstrap: [AppComponent],
})
export class AppModule {}

app.component.ts:

import { Component } from '@angular/core';

@Component({
  selector: 'app-root',
  templateUrl: './app.component.html',
})
export class AppComponent {
  readonly data = [];

  readonly cats = ['c1', 'c2', 'c3'];

  constructor() {
    const cats = this.cats;
    for (let i = 0; i < 100; ++i) {
      this.data.push({
        a: Math.random() * 10,
        d: 'Row ' + i,
        cat: cats[Math.floor(Math.random() * 3)],
        cat2: cats[Math.floor(Math.random() * 3)],
      });
    }
  }
}

app.component.html:

CodePen

Result is same as the builder minimal example

Advanced Usage Example

app.component.html:

CodePen

Result is same as the builder advanced example

Vue.js Support (vue-lineup)

A Vue.js wrapper is located at vue-lineup.

Installation

npm install --save vue-lineup

Minimal Usage Example

const cats = ['c1', 'c2', 'c3'];
const data = [];
for (let i = 0; i < 100; ++i) {
  data.push({
    a: Math.random() * 10,
    d: 'Row ' + i,
    cat: cats[Math.floor(Math.random() * 3)],
    cat2: cats[Math.floor(Math.random() * 3)],
  });
}

// enable plugin to register components
Vue.use(VueLineUp);

const app = new Vue({
  el: '#app',
  template: ``,
  data: {
    cats,
    data,
  },
});

CodePen

Result is same as the builder minimal example

Advanced Usage Example

const app = new Vue({
  el: '#app',
  template: `
    
    
    
    
    
      
      
    
  `,
  data: {
    cats,
    data,
  },
});

CodePen

Result is same as the builder advanced example

Polymer Support (LineUp-Element)

A Polymer 2.0 web component wrapper is located at lineup-element.

Installation

bower install https://github.com/lineupjs/lineup-element

Minimal Usage Example

// generate some data
const arr = [];
const cats = ['c1', 'c2', 'c3'];
for (let i = 0; i < 100; ++i) {
  arr.push({
    a: Math.random() * 10,
    d: 'Row ' + i,
    cat: cats[Math.floor(Math.random() * 3)],
    cat2: cats[Math.floor(Math.random() * 3)]
  })
}
conat data = { arr, cats };

TODO CodePen

Result is same as the builder minimal example

Advanced Usage Example

// arr from before

  
  
  
  
  
    
    
  

TODO CodePen

Result is same as the builder advanced example

R, RShiny, and R Markdown Support

A HTMLWidget wrapper for R is located at lineup_htmlwidget. It can be used within standalone R Shiny apps or R Markdown files. Integrated plotting does not work due to an outdated integrated Webkit version in RStudio. Crosstalk is supported for synching selections and filtering among widgets.

Installation

devtools::install_github("rstudio/crosstalk")
devtools::install_github("lineupjs/lineup_htmlwidget")
library(lineupjs)

Examples

lineup(iris)

Jupyter Widget (to be released)

A Jupyter Widget wrapper for Python is located at lineup_widget.

Installation

pip install -e git+https://github.com/lineupjs/lineup_widget.git#egg=lineup_widget
jupyter nbextension enable --py [--sys-prefix|--user|--system] lineup_widget

Or, if you use jupyterlab:

pip install -e git+https://github.com/lineupjs/lineup_widget.git#egg=lineup_widget
jupyter labextension install @jupyter-widgets/jupyterlab-manager

Examples

import lineup_widget
import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))

w = lineup_widget.LineUpWidget(df)
w.on_selection_changed(lambda selection: print(selection))
w

from __future__ import print_function
from ipywidgets import interact, interactive, interact_manual

def selection_changed(selection):
    return df.iloc[selection]

interact(selection_changed, selection=lineup_widget.LineUpWidget(df));

Observable HQ

A ObservableHQ wrapper is located at lineup-js-observable.

data = {
  const arr = [];
  const cats = ['c1', 'c2', 'c3'];
  for (let i = 0; i < 100; ++i) {
    arr.push({
      a: Math.random() * 10,
      d: 'Row ' + i,
      cat: cats[Math.floor(Math.random() * 3)],
      cat2: cats[Math.floor(Math.random() * 3)]
    })
  }
  return arr;
}

import { asLineUp } from '@sgratzl/lineup-js-observable-library';

viewof selection = asLineUp(arr)

ObservableHQ

Advanced Usage Example

// arr from before
viewof selection = {
  const b = builder(data);
  b.column(
    LineUpJS.buildStringColumn('d')
      .label('Label')
      .width(100)
  )
    .column(LineUpJS.buildCategoricalColumn('cat', cats).color('green'))
    .column(LineUpJS.buildCategoricalColumn('cat2', cats).color('blue'))
    .column(LineUpJS.buildNumberColumn('a', [0, 10]).color('blue'));

  // and two rankings
  const ranking = LineUpJS.buildRanking()
    .supportTypes()
    .allColumns() // add all columns
    .impose('a+cat', 'a', 'cat2') // create composite column
    .groupBy('cat')
    .sortBy('a', 'desc');

  b.defaultRanking().ranking(ranking);
  return b.build();
}

ObservableHQ

PowerBI Custom Visual (under development)

A PowerBI Visual wrapper is located at lineup_powerbi.

Installation

TODO

Examples

TODO

API Documentation

See API documentation and Develop API documentation

Demos

See Demos, Develop Demos, and R Demos

Related Publications

LineUp: Visual Analysis of Multi-Attribute Rankings Paper Paper Website

Samuel Gratzl, Alexander Lex, Nils Gehlenborg, Hanspeter Pfister, and Marc Streit
IEEE Transactions on Visualization and Computer Graphics (InfoVis '13), 19(12), pp. 2277–2286, doi:10.1109/TVCG.2013.173, 2013.

🏆 IEEE VIS InfoVis 2013 Best Paper Award

Taggle: Scalable Visualization of Tabular Data through Aggregation Paper Preprint Paper Website

Katarina Furmanova, Samuel Gratzl, Holger Stitz, Thomas Zichner, Miroslava Jaresova, Martin Ennemoser, Alexander Lex, and Marc Streit
Information Visualization, 19(2): 114-136, doi:10.1177/1473871619878085, 2019.

Dependencies

LineUp.js depends on

• LineUpEngine table rendering engine
• D3 utilities: scales, format, dragging
• Popper.js dialogs

Development Dependencies

Webpack is used as build tool. LineUp itself is written in TypeScript and SASS.

Development Environment

Try the Gitpod online IDE and start coding instantly in your browser.

Otherwise follow the steps to setup a local development environment.

Installation

git clone https://github.com/lineupjs/lineupjs.git -b develop
cd lineupjs
npm i -g yarn
yarn set version berry
yarn set version latest
cat .yarnrc_patch.yml >> .yarnrc.yml
yarn install
yarn pnpify --sdk vscode

Common commands

yarn start
yarn run clean
yarn run compile
yarn test
yarn run lint
yarn run fix
yarn run build
yarn run docs
yarn run release
yarn run release:pre

Run E2E Tests

via cypress.io

Variant 1: with prebuilt LineUp

yarn run compile
yarn run build
yarn run cy:compile
yarn run cy:open

Variant 2: with webpack-dev-server

first shell:

yarn start

second shell:

yarn run cy:compile
yarn run cy:start

Authors

• Samuel Gratzl (@sgratzl)
• Holger Stitz (@thinkh)
• The Caleydo Team (@caleydo)
• datavisyn GmbH (@datavisyn)

---

This repository was created as part of the The Caleydo Project.