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Created March 21, 2016 16:25
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Click to zoom with table and map in D3
Raw
readme.md

An example of a click and zoom map using table cells as well as the map for Ireland. This is in response to this Stack Overflow question and the code at this page.

The visualisation also has the referendum results displ;ayed as a choropleth map, in green of course. The colours are from ColorBrewer.

Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
@import url(mapStyle.css);
</style>
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<body>
<!-- Table to hold the Divs -->
<table border="0" cellpadding="10" style="overflow-y: scroll;">
<tr>
<td><div id="table_container" class="csvTable"></div></td>
<td><div id="map_container"></div></td>
</tr>
</table>
<script>
// Based on http://public.johnnyotoole.fastmail.fm/county_map.html
// Based on http://bl.ocks.org/mbostock/4699541
//Width and height
var w = 600;
var h = 600;
var active;
var jsonOutside;
//Define map projection NB change to mercator and changed zoom etc
var projection = d3.geo.mercator()
.center([0, 52.4])
.rotate([8.2, 0])
.scale(3500)
.translate([w / 2, h / 2]);
//Define path generator
var path = d3.geo.path()
.projection(projection);
//Create SVG element
var svg = d3.select("#map_container")
.append("svg")
.attr("width", w)
.attr("height", h);
// from colorbrewer (http://colorbrewer2.org/)
var colours = ["#BAE4B3", "#74C476", "#31A354", "#006D2C"];
// setup colours for choropleth
var colScale = d3.scale.ordinal()
.range(colours);
svg.append("rect")
.attr("width", w)
.attr("height", h)
.on("click", reset);
var g = svg.append("g");
//Load in CSV data
d3.csv("referendum_results.csv", function (data) {
//Load in GeoJSON data
d3.json("ireland_counties.json", function (json) {
// join csv data with json data and create
json.features.forEach(function (d,i) {
data.forEach(function (e,j) {
if (d.properties.name === e.County) {
d.properties.value = +e.Result;
};
})
})
jsonOutside = json; // pass json to a global so tableRowClicked has access
var columns = ["County", "Result"];
var table = d3.select("#table_container").append("table"),
thead = table.append("thead"),
tbody = table.append("tbody");
// append the header row
thead.append("tr")
.selectAll("th")
.data(columns)
.enter()
.append("th")
.text(function (column) { return column; });
// create a row for each object in the data
var rows = tbody.selectAll("tr")
.data(data)
.enter()
.append("tr");
// create a cell in each row for each column
var cells = rows.selectAll("td")
.data(function (row) {
return columns.map(function (column) {
return { column: column, value: row[column] };
});
})
.enter()
.append("td")
.text(function (d) { return d.value; }
)
.on("click", function (d) { tableRowClicked(d); }); // added on click eventto td element NB you need to click on the cell with the conuty name
// add extents (max and min) from data results for choropleth
colScale.domain(d3.extent(data, function (d) { return d.Result; } ));
//Bind data and create one path per GeoJSON feature
g.selectAll("path")
.data(json.features)
.enter()
.append("path")
.attr("d", path)
.attr("class", "feature")
.attr("id", function (d) { return d.properties.name; }) // added id so click could work on id which is common between the json and csv data
.on("click", function (d) { click(d); })
.style("stroke", "white")
.style("fill", function (d,i) { return colScale(d.properties.value); }); // fill based on colour scale
g.append("path")
.data(json.features)
.enter()
.append("path")
.attr("class", "mesh")
.attr("d", path);
});
});
function click(d) {
if (active === d) return reset();
g.selectAll(".active").classed("active", false);
d3.select("#"+d.properties.name).classed("active", active = d); // changed selection to id
var b = path.bounds(d);
g.transition().duration(750).attr("transform",
"translate(" + projection.translate() + ")"
+ "scale(" + .95 / Math.max((b[1][0] - b[0][0]) / w, (b[1][1] - b[0][1]) / h) + ")"
+ "translate(" + -(b[1][0] + b[0][0]) / 2 + "," + -(b[1][1] + b[0][1]) / 2 + ")");
}
function reset() {
g.selectAll(".active").classed("active", active = false);
g.transition().duration(750).attr("transform", "");
}
function tableRowClicked(x) {
jsonOutside.features.forEach(function (d) { // loop through json data to match td entry
if (x.value === d.properties.name) {
var county = d;
click(d); // pass json element that matches td data to click
};
})
}
</script>
</body>
</html>
Display the source blob
Display the rendered blob
Raw
ireland_counties.json
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"type": "FeatureCollection",
"features": [
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Raw
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Raw
referendum_results.csv
County Result
Carlow 45.2
Cavan 43.7
Clare 50.2
Cork 54
Donegal 42
Dublin 39
Galway 61
Kerry 35
Kildare 49.2
Kilkenny 40.2
Laois 43.9
Leitrim 55.9
Limerick 50.1
Longford 66.1
Louth 61.2
Mayo 48.2
Meath 41.2
Monaghan 57.5
Offaly 49.2
Roscommon 56.2
Sligo 59.2
Tipperary 43.2
Waterford 49.2
Westmeath 48.2
Wexford 52.4
Wicklow 53.5
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