Replay Table

A library fo visualizing sport season results with interactive standings:

sparklines-demo

Live Demos

Quickstart

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

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>

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
- Presets
Extract
Transfrom
- List of Matches
- Points Table
Calculate
Visualize
- Classic
- Sparklines

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.

replay-table

Replay Table

Live Demos

Quickstart

Library

Customization

Configure

Presets

Extract

Transform

List of Matches

Points Table

Calculate

Visualize

Classic

Sparklines

Contribution

Credits

Contact

Readme

Keywords

Package Sidebar

Install

Repository

Homepage

Weekly Downloads

Version

License

Last publish

Collaborators

replay-table

Replay Table

Live Demos

Quickstart

Library

Customization

Configure

Presets

Extract

Transform

List of Matches

Points Table

Calculate

Visualize

Classic

Sparklines

Contribution

Credits

Contact

Readme

Keywords

Package Sidebar

Install

Repository

Homepage

DownloadsWeekly Downloads

Version

License

Last publish

Collaborators

Weekly Downloads