A javascript library for visualizing sport season results with interactive standings
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README.md

Replay Table

A library fo visualizing sport season results with interactive standings:

sparklines-demo

Live Demos

Quickstart

  1. Prepare an input file with season results or download one from our examples.

  2. Put a div with replayTable class on your page and supply a link to the input file using data-source attribute:

    <div class="replayTable"
         data-source="/path/to/file.csv">
    </div>
    
  3. Include D3.js and Replay Table scripts (70+16 KB gzipped) and the stylesheet. Apply some magic to the body:

    <head>
        ...
        <script type="text/javascript" src="https://d3js.org/d3.v4.min.js"></script>
        <script type="text/javascript" src="https://unpkg.com/replay-table/dist/replay-table.min.js"></script>
        <link rel="stylesheet" type="text/css" href="https://unpkg.com/replay-table/dist/replay-table.css">
    </head>
    <body>
        ...
        <script type="text/javascript">replayTable.magic()</script>
    </body>
    
  4. Enjoy!

The library is highly customizable via data- attributes. Check out customization for the details.

Also feel free to embed ready-to-use Replay Tables from our gallery.

Library

npm install -S replay-table

The only dependency is D3.js. D3 is not included with the library so don't forget to plug it up.

The library consists of 5 modules: configure → extract → transform → calculate → visualize. Take a look at how we use them in the magic function:

return Array.from(document.getElementsByClassName('replayTable'))
        .map(table => {
            const config = replayTable.configure(table.id, table.dataset); //build a config from data- attributes

            return Promise.resolve(replayTable.extract(config.extract)) //fetch the input
                .then(raw => {
                    const transformed = replayTable.transform(raw, config.transform); //transform into predefined format
                    const calculated = replayTable.calculate(transformed, config.calculate); //calculate wins, goals, etc.
                    return replayTable.visualize(calculated, config.visualize); //render interactive standings
                })
                .catch(error => crash(error));
        });

Sometimes you won't need all the modules: for example, feel free to omit configure if you already have a config.

A Replay Table is returned from the visualize module. It has methods like play() and to(roundIndex) so you can control its behaviour from code.

Customization

Configure

Makes configs for other modules based on the div data- attributes. The output looks like this:

extract: {
    extractor: csv
},
transform: {
    transformer: 'pointsTable',
    changeToOutcome: {
        25: 'win'
    },
    insertStartRound: 'Start →'
},
calculate: {
    orderBy: ['points', 'wins']
},
visualize: {
    columns: ['position', 'item', 'points', 'points.change'],
    labels: ['#', 'Driver', 'Points']
}

Presets

To save you some time and cognitive effort we've constructed presets that you can use via data-preset attribute: matches, f1, winLoss, chgk.

So this table:

<div class="replayTable"
    data-source="/path/to/file.csv">
    data-transformer="listOfMatches"
    data-change-to-outcome="{ 1: 'win', 0: 'loss' }"
    data-order-by="winningPercentage,wins"
    data-visualizer="classic"
    data-columns="position,item,rounds,wins,losses,winningPercentage,outcome,match"
    data-labels="#,Team,G,W,L,Win %"
</div>

is identical to this:

<div class="replayTable"
    data-source="/path/to/file.csv">
    data-preset="winLoss"
</div>

Extract

Fetches the input file, returns a promise.

Parameter Attribute Required Accepts Default Examples
source data-source yes string null /assets/data/football/2016-2017/english-premier-league.json
extractor data-extractor no extractor csv csv, json

If extractor is not defined we try to guess it from the file extension.

Transform

Transforms raw data into the predefined format:

[
    {
        name: 'round name',
        results: {
            [
                {
                    change: 25,
                    extras: {
                        item: {
                            team: 'Mercedes'
                        }
                    },
                    item: 'Lewis Hamilton',
                    outcome: 'win'
                },
                {
                    ...
                },
                ...
            ]
        }
    },
    {
        ...
    },
    ...
]
Parameter Attribute Accepts Parses Default Examples
transformer data-transformer transformer listOfMatches listOfMatches, pointsTable
changeToOutcome data-change-to-outcome object JSON object { 3: 'win', 1: 'draw', 0: 'loss'} { 1: 'win', 0: 'loss'}
filterItems data-filter-items array of strings comma-separated string [] ['Golden State Warriors', 'San Antonio Spurs', ...]
insertStartRound data-insert-start-round string 0 Start

List of Matches

The structure looks like this:

Round name First Item First Item Score Second Item Second Item Score
Round Item Score Item Score

List should be sorted by round.

Here is an example:

Match Week Home Points Away Points
1 Bournemouth 0 Aston Villa 1
1 Chelsea 2 Swansea 2
1 Everton 2 Watford 2
... ... ... ... ...

Also works with football-data.org fixtures.

Parameter Attribute Accepts Default Examples
format data-format csv or football-data.org csv csv, football-data.org
locationFirst data-location-first home or away home home, away
collapseToRounds data-collapse-to-rounds boolean false true, false

Use collapseToRounds when you've got dates instead of match weeks: it groups each team's 1st, 2nd, 3rd, ... games.

Points Table

The structure looks like this:

Item name [1st extra column name] [2nd extra column name] [...] 1st round name 2nd round name ... last round name
item [1st piece of extra info] [2nd piece of extra info] [...] 1st round points 2nd round points ... last round points

The Formula One example (csv):

Driver Team Australia Bahrain ... Abu Dhabi
Lewis Hamilton Mercedes 18 15 ... 25
Nico Rosberg Mercedes 25 25 ... 18
Daniel Ricciardo Red Bull 12 12 ... 10
... ... .... ... ... ...

Watch the live demo.

Parameter Attribute Accepts Default Examples
extraColumnsNumber data-extra-columns-number int 0 1, 2

Calculate

Calculates wins, goals, points, etc. and adds metadata. The output looks like this:

{
    meta: {
        lastRound: 38
    },
    results: {
        [
            {
                meta: {
                    index: 2,
                    isLast: false,
                    items: 20,
                    name: "2"
                },
                results: {
                    [
                        {
                            change: 3,
                            draws: {
                                change: 0,
                                total: 0
                            },
                            extras: {},
                            item: 'Leicester',
                            losses: {
                                change: 0,
                                total: 0
                            },
                            match: {
                                location: "away",
                                opponent: "West Ham",
                                opponentScore: 1,
                                score: 2
                            },
                            outcome: "win",
                            points: {
                                change: 3,
                                total: 6
                            },
                            position: {
                                highest: 1,
                                lowest: 4,
                                strict: 1
                            },
                            wins: {
                                change: 1,
                                total: 2
                            }
                            ...//goalsFor, goalsAgainst, goalsDifference, rounds, winningPercentage
                        },
                        ....
                    ]
                }
            },
            ...
        ]
    }
}

See the whole list of calculations in the calculations.js.

Parameter Attribute Accepts Parses Default Examples
orderBy data-order-by array of calculations comma-separated string ['points'] ['winningPercentage', 'wins']

Visualize

Renders interactive standings out of calculated data.

Returns a class instance with useful methods:

  • first(), last(), next(), previous() and to(roundIndex)
  • play() and pause()
  • preview(roundIndex) and endPreview()
  • drillDown(item) and endDrillDown()
Parameter Attribute Accepts Parses Default Examples
visualizer data-visualizer visualizer classic classic, sparklines
controls data-conrols array of controls comma-separated string ['play', 'previous', 'next', 'slider'] ['play', 'slider']
startFromRound data-start-from-round int null 0, 15
roundsTotalNumber data-rounds-total-number int null 38, 82
positionWhenTied data-position-when-tied int strict, highest, range or average strict, highest
animationSpeed data-animation-speed float 1.0 0.5, 2.0

Classic

classic-f1-demo

Formula One

A simple table with controls on top. Works for any sport and is highly customizable.

Parameter Attribute Accepts Parses Default Examples
columns data-columns array of columns comma-separated string ['position', 'item', 'points'] ['position', 'item', 'points', 'outcome', 'points.change]
labels data-labels array of strings comma-separated string ['#', 'Team', 'Points'] ['Position', 'Driver', 'Points']
colors data-colors object JSON object { 'win': '#ACE680', 'draw': '#B3B3B3', 'loss': '#E68080' } { 'win': 'green', 'draw': 'gray', 'loss': 'red' }
durations data-durations object JSON object { move: 750, freeze: 750, outcomes: 200} { move: 500, freeze: 400, outcomes: 250}

Sparklines

sparklines-demo

English Premier League

A powerful interactive visualization for the sports with matches and points. Might be slow on old devices and in Firefox.

Parameter Attribute Accepts Parses Default Examples
controls data-conrols array of controls comma-separated string ['play'] ['play', 'previous', 'next']
colors data-colors object JSON object { 'win': '#21c114', 'draw': '#828282', 'loss': '#e63131' } { 'win': 'green', 'draw': 'gray', 'loss': 'red' }
sparkColors data-spark-colors object JSON object { 'win': '#D7E7C1', 'draw': '#F0F0F0', 'loss': '#EFCEBA' } { 'win': 'green', 'draw': 'gray', 'loss': 'red' }
currentSparkColors data-current-spark-colors object JSON object { 'win': '#AAD579', 'draw': '#CCCCCC', 'loss': '#E89B77' } { 'win': 'green', 'draw': 'gray', 'loss': 'red' }
durations data-durations object JSON object { move: 1000, freeze: 500, pre: 750} { move: 750, freeze: 750, pre: 375}
pointsLabel data-points-label string points очков
allLabel data-all-label string All Все

Contribution

Please, post your suggestions and bugs via Github issues. PRs are also welcome!

If you own an API or a database with sports results we'd be happy to collaborate.

We'd also be happy to work with sport journalists to leverage Replay Table for a better season recap.

Credits

The library was built using the orange time at Targetprocess by Anton Iokov (@antoniokov) and Daria Krupenkina (@dariak).

Sparklines prototype was made by Vitali Yanusheuski.

Contact

We're open to your ideas and are ready to help with integrating Replay Table into your website.

Please, write us an email to anton.iokov@targetprocess.com or ping on Twitter at @antoniokov.