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// To try this out, go to: http://bl.ocks.org/ksen0/cb625f3991e37d0f0a2236ff5961c0b7 | |
// Alternatively: download both files and open the .html file in your browser. | |
// Data is based on an export from beeminder, but any timestamped data will work. | |
// Visualization focuses on the display of different activities over time: some are incremental | |
// (in minutes or hours), some are episodic. There are also phases of life in the visualization. | |
metadata = { | |
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} | |
function get_events(val = "timestamp", whichs = []) { | |
out = {data: []}; | |
out.min = undefined; | |
out.max = undefined; | |
$.each(whichs, function(index, which){ | |
$.each(datapoints[which], function(index, values){ | |
if (out.min == undefined || values[val] < out.min) { | |
out.min = values[val]; | |
} if (out.max == undefined || values[val] > out.max) { | |
out.max = values[val]; | |
} | |
out.data.push({event: which, value: values[val]}) | |
}); | |
}); | |
return out; | |
} | |
function get_xy(x="timestamp", y="value", x_readable="daystamp", y_accumulate="acc", y_filter = ((x) => true), y_transform = ((x) => x), which = undefined) { | |
if (which == undefined || datapoints[which] == undefined) | |
console.log("Bad get_xy call") | |
out = []; | |
acc = undefined; | |
datapoints[which].sort(function(a, b) { | |
return a[x] - b[x]; | |
}); | |
$.each(datapoints[which], function(index, values){ | |
if (y_filter(values[y])) { | |
row = {} | |
row[x] = values[x] | |
row[y] = y_transform(values[y]) | |
row[x_readable] = values[x_readable] | |
if (acc == undefined) { | |
acc = values[y]; | |
} else { | |
acc += values[y]; | |
} | |
row[y_accumulate] = y_transform(acc); | |
out.push(row); | |
} | |
}); | |
return out; | |
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
<!DOCTYPE html> | |
<html> | |
<head> | |
<title>b-viz</title> | |
<meta charset="utf-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1"> | |
<meta http-equiv="x-ua-compatible" content="ie=edge"> | |
<meta name="description" content="Vega - A Visualization Grammar. Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas or SVG."> | |
<link rel="stylesheet" href="https://vega.github.io/vega/assets/syntax.css"> | |
<link rel="stylesheet" href="https://vega.github.io/vega/assets/main.css"> | |
<script src="https://vega.github.io/vega/assets/promise.min.js"></script> | |
<script src="https://vega.github.io/vega/vega.js"></script> | |
<script src="bee_data.js"></script> | |
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script> | |
</head> | |
<body> | |
<div class="embed"> | |
<div id="falkensee-population" class="view"></div> | |
<a href="../falkensee-population.vg.json">View Source</a> | |
<a id="falkensee-population-png" href="#">Export PNG</a> | |
<a id="falkensee-population-svg" href="#">Export SVG</a> | |
</div> | |
<script> | |
events = get_events("timestamp", ["books", "bouldern", "arts", "lrn", "tech"]) | |
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{ | |
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} | |
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"strokeWidth": {"value": 2} | |
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} | |
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{ | |
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"from": {"data": "depra"}, | |
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"enter": { | |
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"y": {"scale": "y", "field": "total"}, | |
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"strokeWidth": {"value": 2} | |
} | |
} | |
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{ | |
"type": "line", | |
"from": {"data": "meditate"}, | |
"encode": { | |
"enter": { | |
"interpolate": {"value": "monotone"}, | |
"x": {"scale": "x", "field": "timestamp"}, | |
"y": {"scale": "y", "field": "total"}, | |
"stroke": {"value": "#fb8072"}, | |
"strokeWidth": {"value": 2} | |
} | |
} | |
}, | |
{ | |
"type": "line", | |
"from": {"data": "dissertation"}, | |
"encode": { | |
"enter": { | |
"interpolate": {"value": "monotone"}, | |
"x": {"scale": "x", "field": "timestamp"}, | |
"y": {"scale": "y", "field": "total"}, | |
"stroke": {"value": "#fb8072"}, | |
"strokeWidth": {"value": 2} | |
} | |
} | |
}*/ | |
], | |
"legends": [ | |
{ | |
"fill": "annotate_color", | |
"title": "Period", | |
"orient": "top-left", | |
"offset": 8, | |
"encode": { | |
"symbols": { | |
"update": { | |
"strokeWidth": {"value": 0}, | |
"shape": {"value": "square"}, | |
"opacity": {"value": 0.3} | |
} | |
} | |
} | |
} | |
] | |
}; | |
function image(view, type) { | |
return function(event) { | |
event.preventDefault(); | |
view.toImageURL(type).then(function(url) { | |
var link = document.createElement('a'); | |
link.setAttribute('href', url); | |
link.setAttribute('target', '_blank'); | |
link.setAttribute('download', 'falkensee-population.' + type); | |
link.dispatchEvent(new MouseEvent('click')); | |
}).catch(function(error) { console.error(error); }); | |
}; | |
} | |
var view = new vega.View(vega.parse(spec), { | |
loader: vega.loader({baseURL: 'https://vega.github.io/vega/'}), | |
logLevel: vega.Warn, | |
renderer: 'canvas' | |
}).initialize('#falkensee-population').hover().run(); | |
document.querySelector('#falkensee-population-png').addEventListener('click', image(view, 'png')); | |
document.querySelector('#falkensee-population-svg').addEventListener('click', image(view, 'svg')); | |
</script> | |
</div> |
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