A d3 based timeline visualization.
If you're using d3-milestones
out in the wild I'd love to see what you came up with, just ping me on twitter.com/walterra.
To use it via NPM, use npm install d3-milestones
.
The most quick way to get going is to use unpkg.com
as a CDN to include the library directly into your HTML file.
<link rel="stylesheet" href="https://unpkg.com/d3-milestones/build/d3-milestones.css">
<script src="https://unpkg.com/d3-milestones/build/d3-milestones.min.js"></script>
<div id="timeline"></div>
<script>
milestones('#timeline')
.mapping({
'timestamp': 'year',
'text': 'title'
})
.parseTime('%Y')
.aggregateBy('year')
.render([
{ year: 789, title: 'Vikings begin attacks on England.' },
{ year: 840, title: 'Vikings found Dublin in Ireland.' }
...
{ year: 1050, title: 'The city of Oslo is founded in Norway.' },
{ year: 1066, title: 'Battle of Hastings.' }
]);
</script>
Head over here to see this example in action: https://beta.observablehq.com/@walterra/vikings-timeline.
There are more examples included in the github repository. These examples should give you an idea how to work with the library.
- clone the repository and from within its directory run the following commands:
npm install
should fetch all required dependencies and create the build files.npm start
spins up a web server. It will output the host/ip you should head your browser to, e.g.:
To initialize d3-milestones, pass a DOM Id to its main factory:
const vis = milestones('#wrapper');
The returned object exposes the following API:
# vis.aggregateBy(interval)
Sets the aggregation interval for the event data, where interval can be one of second
, minute
, hour
, day
, week
, month
, quarter
or year
.
# vis.distribution(string)
Sets the label distribution, can be top-bottom
, top
or bottom
. Defaults to top-bottom
. The options don't change for vertical layouts. top
refers to labels on the left and bottom
to labels on the right for that layout.
# vis.mapping(configObject)
Sets overrides for the default attributes for the expected data structure of an event. This defaults to:
{
category: undefined,
entries: undefined,
timestamp: 'timestamp',
text: 'text',
url: 'url'
};
The method allows you to override single or multiple attributes to map them to fields in your original data with a single call like:
vis.mapping({
'timestamp': 'year',
'text': 'title'
})
# vis.optimize(boolean)
Enables/Disables the label optimizer. When enabled, the optimizer attempts to avoid label overlap by vertically displacing labels.
# vis.orientation(string)
Sets the orientation of the timeline, can be either horizontal
or vertical
. Defaults to horizontal
.
# vis.parseTime(specifier)
Specifies the formatter for the timestamp field. The specifier string is expected to resemble a format described here: https://github.com/d3/d3-time-format#locale_format
# vis.labelFormat(specifier)
The labelFormat
for the time label for each milestones defaults to '%Y-%m-%d %H:%M'
. Using aggregateBy
, labelFormat
will be set automatically to a reasonable format corresponding to the aggregation level. Still, this method is available to override this behavior with a custom labelFormat
.
# vis.useLabels(boolean)
Enables/Disables the display of labels.
# vis.render([data])
When called without data
this triggers re-rendering the existing visualization.
data
is expected to be an array of event objects with fields matching either the expected defaults (timestamp
and text
attribute) or the provided mapping via .mapping()
.
# vis.onEventClick(function)
Set a callback which is executed when the text or image is clicked.
vis.onEventClick((d) => {
console.log('click', d);
alert(`
${d.text} | ${d.timestamp}
${JSON.stringify(d.attributes)}
`);
})
# vis.onEventMouseOver(function)
Set a callback which is executed when the mouse cursor is over text or image.
vis.onEventMouseOver((d) => {
console.log('mouseover', d);
})
# vis.onEventMouseLeave(function)
Set a callback which is executed when the mouse cursor is leaving text or image.
vis.onEventMouseLeave((d) => {
console.log('mouseleave', d);
})
d3-milestones
is also available as a visualization plugin for Kibana here: https://github.com/walterra/kibana-milestones-vis