Render big, timeseries data in the client. Uses CartoDB to generate a datacube format. For a brief introduction to the format and methods, see our [presentation slides](http://gijs.github.com/images/cartodb_datacubes.pdf)
* The Guardian's Data Blog write-up of Royal Navy ships in WWI: http://www.guardian.co.uk/news/datablog/interactive/2012/oct/01/first-world-war-royal-navy-ships-mapped
Torque lets you render big, timeseries or categorical data in the client. This is useful for many modern applications that need more than just a static map. Early versions of Torque have been used to visualize human movement, Twitter activity, biodiversity data, and many more large-scale datasets.
The library uses CartoDB to generate a [layercube]() format. For a brief introduction to the format and methods, see our [presentation slides](http://gijs.github.com/images/cartodb_datacubes.pdf). If you are not using CartoDB to host your data, you can modify the input parameters to point toward any layercube service.
### Getting started
The simplest way to use a visualization with Torque is...
<divclass="margin20"></div>
<divclass="code_title">Create a simple Torque visualization</div>
``` javascript
...
<body>
<divid="map"></div>
</body>
...
<script>
window.onload = function() {
// Create a Leaflet map
var map = new L.Map('map', {
zoomControl: true,
center: [40, 0],
//center: [36.60670888641815, 38.627929687],
zoom: 3
});
// Add a basemap, here we use one provided by Stamen
