Datamaps is intended to provide some data visualizations based on geographical data. It's SVG-based, can scale to any screen size, and includes everything inside of 1 script file. It heavily relies on the amazing D3.js library.
Out of the box it includes support for choropleths and bubble maps (see demos), but it's not limited to just that. Its new plugin system allows for the addition of any type of visualization over the map.
Downloads:
new Datamaps(options), passing in at least an element optionExample:
<script src="https://github.com/markmarkoh/datamaps/raw/v0.5.9/cdnjs.cloudflare.com/ajax/libs/d3/3.5.3/d3.min.js"></script>
<script src="https://github.com/markmarkoh/datamaps/raw/v0.5.9/cdnjs.cloudflare.com/ajax/libs/topojson/1.6.9/topojson.min.js"></script>
<script src="https://github.com/markmarkoh/datamaps/raw/v0.5.9/datamaps.world.min.js"></script>
<script>
var map = new Datamap({element: document.getElementById('container')});
</script>
This should render a new world map with a standard projection.
npm install datamapsdist directory, like:<script src="https://github.com/markmarkoh/datamaps/raw/v0.5.9/cdnjs.cloudflare.com/ajax/libs/d3/3.5.3/d3.min.js"></script>
<script src="https://github.com/markmarkoh/datamaps/raw/v0.5.9/cdnjs.cloudflare.com/ajax/libs/topojson/1.6.9/topojson.min.js"></script>
<script src="https://github.com/markmarkoh/datamaps/raw/v0.5.9/node_modules/datamaps/dist/datamaps.world.min.js"></script>
<script>
var map = new Datamap({element: document.getElementById('container')});
</script>
bower install datamapsdist directory, like:<script src="https://github.com/markmarkoh/datamaps/raw/v0.5.9/cdnjs.cloudflare.com/ajax/libs/d3/3.5.3/d3.min.js"></script>
<script src="https://github.com/markmarkoh/datamaps/raw/v0.5.9/cdnjs.cloudflare.com/ajax/libs/topojson/1.6.9/topojson.min.js"></script>
<script src="https://github.com/markmarkoh/datamaps/raw/v0.5.9/bower_components/datamaps/dist/datamaps.world.min.js"></script>
<script>
var map = new Datamap({element: document.getElementById('container')});
</script>
A map of the USA with an Albers based projection will be default if you only include datamaps.usa.min.js, but in case you include datamaps.all.min.js:
<script>
var map = new Datamap({
element: document.getElementById('container'),
scope: 'usa'
});
</script>
<script>
var map = new Datamap({
element: document.getElementById('container'),
fills: {
defaultFill: 'rgba(23,48,210,0.9)' // Any hex, color name or rgb/rgba value
}
});
</script>
<script>
var map = new Datamap({
element: document.getElementById('container'),
geographyConfig: {
highlightOnHover: false,
popupOnHover: false
}
});
</script>
<script>
var map = new Datamap({
element: document.getElementById('container'),
geographyConfig: {
dataUrl: '/custom.json'
},
scope: 'custom',
setProjection: function(element, options) {
var projection, path;
projection = d3.geo.albersUsa()
.center([long, lat])
.scale(element.offsetWidth)
.translate([element.offsetWidth / 2, element.offsetHeight / 2]);
}
path = d3.geo.path()
.projection( projection );
return {path: path, projection: projection};
}
});
</script>
By specifying a dataUrl, Datamaps will attempt to fetch that resource as TopoJSON.
If you are using a custom map, you'll probably want to specify your own setProjection method as well.
setProjection takes 2 arguments, element as a DOM element, options as the original options you passed in. It should return an object with two properties: path as a d3.geo.path, projection as a d3.geo.projection
The example above will result in albersUsa projection.

Read about other D3.js projections
Follow the below steps:- 1. Find the {xyz}.topo.json file for you country xyz. You can find from https://github.com/markmarkoh/datamaps/tree/master/dist. 2. Extract Datamap.prototype.{xyz}Topo json and save it file named {xyz}.topo.json 3. If the state codes contains dot(.) in the topo json, then you need to remove the dot from the code e.g, if your state code is CA.AL, remove CA. part to get 2-digit ISO code AL. If the states code are already in 2-digit ISO or do't have dot(.) then don't do any modification follow next steps. 4. Objects country name in {xyz}.topo.json should be same as you declared in the Datamap scope. e.g, for Canada, in canada.topo.json we have {"type":"Topology","objects":{"can":{"type":"GeometryCollection"}}} and we have provided scope as 'canada' in the canada.html page. So this case 'can' in canada.topo.json must be as 'canada' i.e {"type":"Topology","objects":{"canada":{"type":"GeometryCollection"}}}. 5. You need to override setProjection method, which is explained above three countires. You can refer any one. 6. Done
Here are the some examples of different countries maps.

var bubble_map = new Datamap({
element: document.getElementById('india'),
scope: 'india',
geographyConfig: {
popupOnHover: true,
highlightOnHover: true,
borderColor: '#444',
borderWidth: 0.5,
dataUrl: 'https://rawgit.com/Anujarya300/bubble_maps/master/data/geography-data/india.topo.json'
//dataJson: topoJsonData
},
fills: {
'MAJOR': '#306596',
'MEDIUM': '#0fa0fa',
'MINOR': '#bada55',
defaultFill: '#dddddd'
},
data: {
'JH': { fillKey: 'MINOR' },
'MH': { fillKey: 'MINOR' }
},
setProjection: function (element) {
var projection = d3.geo.mercator()
.center([78.9629, 23.5937]) // always in [East Latitude, North Longitude]
.scale(1000);
var path = d3.geo.path().projection(projection);
return { path: path, projection: projection };
}
});
Please use india.toto.json for India geopraphy json data from https://github.com/Anujarya300/bubble_maps/blob/master/data/geography-data/india.topo.json, otherwise your map wont work. (I have truncated IND. from all state ISO code(2-digit ISO code), e.g IND.JH for Jharkhand state truncated to JH)
Please note in setProjection method, I have set [78.9629, 23.5937] to locate center point for India in the world map. That means Latitude = 78.9629 E and Longitude = 23.5937 N. Remember Latitute and Longitude are always East and North. For western countries, Latitude are in West so make it convert as Negative of East. e.g 102.3421 W ==> -102.3421 E.

var bubble_map = new Datamap({
element: document.getElementById('canada'),
scope: 'canada',
geographyConfig: {
popupOnHover: true,
highlightOnHover: true,
borderColor: '#444',
borderWidth: 0.5,
dataUrl: 'https://rawgit.com/Anujarya300/bubble_maps/master/data/geography-data/canada.topo.json'
//dataJson: topoJsonData
},
fills: {
'MAJOR': '#306596',
'MEDIUM': '#0fa0fa',
'MINOR': '#bada55',
defaultFill: '#dddddd'
},
data: {
'JH': { fillKey: 'MINOR' },
'MH': { fillKey: 'MINOR' }
},
setProjection: function (element) {
var projection = d3.geo.mercator()
.center([-106.3468, 68.1304]) // always in [East Latitude, North Longitude]
.scale(250)
.translate([element.offsetWidth / 2, element.offsetHeight / 2]);
var path = d3.geo.path().projection(projection);
return { path: path, projection: projection };
}
});
Please use canada.toto.json for India geopraphy json data from https://github.com/Anujarya300/bubble_maps/blob/master/data/geography-data/canada.topo.json, otherwise your map wont work. (I have truncated CA. from all state ISO code(2-digit ISO code), e.g CA.TN to TN)
Please note in setProjection method, I have set [-106.3468, 68.1304] to locate center point for Canada in the world map. That means Latitude = 106.3468 W and Longitude = 68.1304 N. Remember Latitute and Longitude are always East and North. For western countries, Latitude are in West so make it convert as Negative of East. e.g 102.3421 W ==> -102.3421 E.
You can adjust this latitude and longitude co-ordinates by minor changing. e.g, if your map is not showing full view of North then you can change 68.1304 N to 70.3200 N or 71.3200 etc. if your map is not showing full view of East then you can change 32.1304 E to 70.3200 E or 30.3200 etc.
More about other countries maps
Probably the most common type of map visualization, where different states or countries are color coded.

You'll need to know the 2 letter state code ('NY' for New York) or the 3 letter country code ('SCT' for Scotland) to fill in areas.
<script>
var map = new Datamap({
element: document.getElementById('container'),
fills: {
HIGH: '#afafaf',
LOW: '#123456',
MEDIUM: 'blue',
UNKNOWN: 'rgb(0,0,0)',
defaultFill: 'green'
},
data: {
IRL: {
fillKey: 'LOW',
numberOfThings: 2002
},
USA: {
fillKey: 'MEDIUM',
numberOfThings: 10381
}
}
});
// Draw a legend for this map
map.legend();
</script>
This will draw a world map and fill in IRL (Ireland) with the corresponding fills.LOW and USA with fills.MEDIUM.
You can also use fill: color for each state if you don't want to define a fillKey.
Colors will be applied in this order: fillKey, fill, defaultFill.
map.updateChoropleth({
USA: {fillKey: 'LOW'},
CAN: '#0fa0fa'
});
You can specify either a literal color (as a string), or an object with a fillKey property.
defaultFillThe following will reset the entire map to the defaultFill and update CA to be filled green.
map.updateChoropleth({CA: 'green'}, {reset: true})
The following will reset the entire map to defaultFill
map.updateChoropleth(null, {reset: true})
The following will reset the entire map to defaultFill, but update the corresponding data of NY.
map.updateChoropleth({NY: {numberOfVoters: 55452}}, {reset: true})
You can also add a map legend with the legend plugin (used above)
Example highmaps_world.html explains how to create colorized map based on some quantity of things, Live Demo
Example result:

Expanding on the previous example of using data, any property passed into data will be sent to the popupTemplate function, which can be override
$ claude mcp add datamaps \
-- python -m otcore.mcp_server <graph>