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Motionchart for R: Template is in this gist as: rchart_template.html Example R in this gist as: rchart_motionchart.R

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index-template.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Motion Chart</title>
<style>
 
/*@import url(../style.css?20120427);*/
 
#chart {
margin-left: 0px;
height: 506px;
}
 
text {
font: 10px sans-serif;
}
 
.dot {
stroke: #000;
}
 
.axis path, .axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
 
.label {
fill: #777;
}
 
.country {
font: 500 48px "Helvetica Neue";
text-anchor:center;
fill: #ddd;
}
 
.year.label {
font: 500 48px "Helvetica Neue";
fill: #ddd;
}
 
.year.label.active {
fill: #aaa;
}
 
.hidden {
color: #f00;
}
 
.visible {
color: #0f0;
}
 
.overlay {
fill: none;
pointer-events: all;
cursor: ns-resize;
}
 
</style>
</head>
<body>
 
<p id="chart"></p>
 
 
<p class="attribution"><strong>Source:</strong> <em>Tony Hirst, Pete Mitton, <a href="https://github.com/mbostock/bost.ocks.org/blob/gh-pages/mike/nations/index.html">Mike Bostock</a>, <a href="https://github.com/RandomEtc/mind-gapper-js">Tom Carden</a>, <a
href="http://gapminder.org">Gapminder</a>. JSON mapper for R by Ramnath Vaidyanathan, http://stackoverflow.com/a/19729235/454773</em></p>
 
 
<script src="params.js" ></script>
<script src="http://d3js.org/d3.v2.js?2.8.1"></script>
 
<script>
/*params={}
params.yearMin=1800
params.yearMax=2005
params.countryHighlights=['Bangladesh','India']
 
params.jsondatafile="nations.json"
params.x='income'
params.y='lifeExpectancy'
params.radius='population'
params.color='region'
params.key='name'
params.xlabel="income per capita, inflation-adjusted (dollars)"
params.ylabel="life expectancy (years)"
 
params.ymin=10
params.ymax=85
params.xmin=300
params.xmax=1e5
params.rmin=0
params.rmax=5e8
 
params.xscale='log'
params.yscale='linear'
//*/
 
// Various accessors that specify the four dimensions of data to visualize.
function x(d) {
return d[params.x];
}
function y(d) {
return d[params.y];
}
function radius(d) {
return d[params.radius];
}
function color(d) {
return d[params.color];
}
function key(d) {
return d[params.key];
}
 
 
var currentCountry = "";
 
// Chart dimensions.
var margin = {top: 19.5, right: 19.5, bottom: 19.5, left: 39.5},
width = 960 - margin.right,
height = 500 - margin.top - margin.bottom,
yearMargin = 105;
 
// Various scales. These domains make assumptions of data, naturally.
//d3.scale.log() d3.scale.linear()
if (params.xscale=='log') var xScale = d3.scale.log().domain([params.xmin, params.xmax]).range([0, width - yearMargin])
else var xScale = d3.scale.linear().domain([params.xmin, params.xmax]).range([0, width - yearMargin])
if (params.yscale=='log') var yScale = d3.scale.log().domain([params.ymin, params.ymax]).range([height, 0])
else var yScale = d3.scale.linear().domain([params.ymin, params.ymax]).range([height, 0])
var radiusScale = d3.scale.sqrt().domain([params.rmin, params.rmax]).range([0, 40]),
colorScale = d3.scale.category10();
 
// The x & y axes.
var xAxis = d3.svg.axis().orient("bottom").scale(xScale).ticks(12, d3.format(",d")),
yAxis = d3.svg.axis().scale(yScale).orient("left");
 
var yearScale = d3.scale.linear()
.domain([params.yearMin, params.yearMax])
.range([48, height - 64])
// .range([box.x + 10, box.x + box.width - 10])
.clamp(true);
 
// Create the SVG container and set the origin.
var svg = d3.select("#chart").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
 
// Add the x-axis.
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
 
// Add the y-axis.
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
 
// Add an x-axis label.
svg.append("text")
.attr("class", "x label")
.attr("text-anchor", "end")
.attr("x", width - yearMargin)
.attr("y", height - 6)
.text(params.xlabel);
 
// Add a y-axis label.
svg.append("text")
.attr("class", "y label")
.attr("text-anchor", "end")
.attr("y", 6)
.attr("dy", ".75em")
.attr("transform", "rotate(-90)")
.text(params.ylabel);
 
// Add the year label; the value is set on transition.
var label = svg.append("text")
.attr("class", "year label")
.attr("text-anchor", "end")
.attr("y", 48)
.attr("x", width)
.text(params.yearMin);
 
var country = svg.append("text")
.attr("class", "country")
.attr("y", height - margin.bottom)
.attr("x", margin.left)
.text("");
 
 
function motionChart(nations) {
var currentCountries=params.countryHighlights;
// A bisector since many nation's data is sparsely-defined.
var bisect = d3.bisector(function (d) {
return d[0];
});
 
// Add a dot per nation. Initialize the data at 1800, and set the colors.
var dots = svg.append("g")
.attr("class", "dots")
 
var dot = dots.selectAll(".dot")
.data(interpolateData(params.yearMin))
.enter().append("circle")
.attr("class", "dot")
.style("fill", function (d) {
return colorScale(color(d));
})
.style("opacity", function(d){ return currentCountry === "" && ( currentCountries=='' || currentCountries.indexOf(d[params.key])!=-1 ) || currentCountry === d[params.key] ? 1.0 : 0.1; })
// .on("click", function(d,i){
// var titleElement = this.firstChild;
// titleElement.getAttribute("class") === "hidden" ? titleElement.setAttribute("class", "visible") : titleElement.setAttribute("class", "hidden");
// })
// .on("mouseover", function(d,i) { country.text(d[params.key]); })
// .on("touch", function(d,i) { country.text(d[params.key]); })
// .on("mouseout", function(d,i) { country.text("")})
// .on("click", function(d,i){ country.text(d[params.key]); country.attr("x", d3.mouse(this)[0] + 10); country.attr("y", d3.mouse(this)[1]); })
.on("click", function(d){
if (currentCountry === d[params.key]){
currentCountry = "";
} else {
currentCountry = d[params.key];
}
country.text(currentCountry);
dot.style("opacity", function(d){ return currentCountry === "" && ( currentCountries=='' || currentCountries.indexOf(d[params.key])!=-1) || currentCountry === d[params.key] ? 1.0 : 0.1; })
})
.call(position)
.sort(order);
 
// Add a title.
dot.append("text")
.text(function (d) {
return d[params.key];
});
 
// Add an overlay for the year label.
var box = label.node().getBBox();
 
var overlay = svg.append("rect")
.attr("class", "overlay")
.attr("x", box.x)
.attr("y", box.y)
.attr("width", box.width)
.attr("height", height)
.on("mouseover", enableInteraction);
 
// Start a transition that interpolates the data based on year.
svg.transition()
.duration(30000)
.ease("linear")
.tween("year", tweenYear)
.each("end", enableInteraction);
 
// Positions the dots based on data.
function position(dot) {
dot.attr("cx", function (d) {
return xScale(x(d));
})
.attr("cy", function (d) {
return yScale(y(d));
})
.attr("r", function (d) {
return radiusScale(radius(d));
});
}
 
// Defines a sort order so that the smallest dots are drawn on top.
function order(a, b) {
return radius(b) - radius(a);
}
 
// After the transition finishes, you can mouseover to change the year.
function enableInteraction() {
 
 
// Cancel the current transition, if any.
svg.transition().duration(0);
 
overlay
.on("mouseover", mouseover)
.on("mouseout", mouseout)
.on("mousemove", mousemove)
.on("touchmove", mousemove);
 
function mouseover() {
label.classed("active", true);
}
 
function mouseout() {
label.classed("active", false);
}
 
function mousemove() {
// console.log(d3.mouse(this)[1]);
displayYear(yearScale.invert(Number(d3.mouse(this)[1])));
// displayYear(yearScale.invert(100));
}
}
 
// Tweens the entire chart by first tweening the year, and then the data.
// For the interpolated data, the dots and label are redrawn.
function tweenYear() {
var year = d3.interpolateNumber(params.yearMin, params.yearMax);
return function (t) {
displayYear(year(t));
// displayYear(year(1980));
};
}
 
// Updates the display to show the specified year.
function displayYear(year) {
// console.log(year);
dot.data(interpolateData(year), key).call(position).sort(order);
label.text(Math.round(year))
.attr("y", 48 + (year - params.yearMin) * (height - 64)/ (params.yearMax - params.yearMin));
}
 
// Interpolates the dataset for the given (fractional) year.
function interpolateData(year) {
return nations.map(function (d) {
var tmp={}
tmp[params.key]= d[params.key],
tmp[params.color]= d[params.color]
tmp[params.x]= interpolateValues(d[params.x], year)
tmp[params.radius]= interpolateValues(d[params.radius], year)
tmp[params.y]= interpolateValues(d[params.y], year)
return tmp;
});
}
 
// Finds (and possibly interpolates) the value for the specified year.
function interpolateValues(values, year) {
var i = bisect.left(values, year, 0, values.length - 1),
a = values[i];
if (i > 0) {
var b = values[i - 1],
t = (year - a[0]) / (b[0] - a[0]);
return a[1] * (1 - t) + b[1] * t;
}
return a[1];
}
}
 
// Load the data.
d3.json(params.jsondatafile, function (nations) {motionChart(nations)});
 
</script>
</body>
</html>
index.html
HTML
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>The Wealth & Health of Nations</title>
<style>
 
/*@import url(../style.css?20120427);*/
 
#chart {
margin-left: 0px;
height: 506px;
}
 
text {
font: 10px sans-serif;
}
 
.dot {
stroke: #000;
}
 
.axis path, .axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
 
.label {
fill: #777;
}
 
.country {
font: 500 48px "Helvetica Neue";
text-anchor:center;
fill: #ddd;
}
 
.year.label {
font: 500 48px "Helvetica Neue";
fill: #ddd;
}
 
.year.label.active {
fill: #aaa;
}
 
.hidden {
color: #f00;
}
 
.visible {
color: #0f0;
}
 
.overlay {
fill: none;
pointer-events: all;
cursor: ns-resize;
}
 
</style>
</head>
<body>
<h1>The Wealth & Health of Nations</h1>
 
<p id="chart"></p>
 
<p>This visualisation is a based on a recreation by Mike Bostock of Gapminderā€™s <a href="http://gapminder.org/world/">Wealth & Health of Nations</a>. As originally described, <em>it shows the dynamic fluctuation in per-capita income (<tt>x</tt>), life expectancy (<tt>y</tt>) and population (radius) of 180 nations over the last [two centuries]. Nations are colored by geographic region; mouseover to read their names.</em></p>
 
<p>The views of three countries are highlighted - Bangladesh, India and China.</p>
 
<aside>Drag the year up and down to move forward and backwards through time.</aside>
 
<p>At the time of writing (late October, 2013), generating this sort of chart for use in a web page still requires a certain amount of technical skill:</p>
<ul><li>the data needs to be specially prepared for use in the chart;</li>
<li>the mapping of data to chart axes is currently hard-coded into the chart definition - this is not ideal for switching between datasets!</li>
<li>the highlighted countries are hard-coded into the chart - again, this is not ideal: it would be far nicer to be able to offer a list containing a range of countries that could be selected and consequently highlighted.</li></ul>
 
<p>The pace of development around web-based data visualisation tools is such that a more useable version of this tool may appear at any point... But for now, if you want to make use of it, you'll have to get your Javascript coding hat on:-)</p>
 
 
<p class="attribution"><strong>Source:</strong> <em>Tony Hirst, Pete Mitton, <a href="https://github.com/mbostock/bost.ocks.org/blob/gh-pages/mike/nations/index.html">Mike Bostock</a>, <a href="https://github.com/RandomEtc/mind-gapper-js">Tom Carden</a>, <a
href="http://gapminder.org">Gapminder</a>.</em></p>
 
<script src="http://d3js.org/d3.v2.js?2.8.1"></script>
<script>
 
// Various accessors that specify the four dimensions of data to visualize.
function x(d) {
return d.income;
}
function y(d) {
return d.lifeExpectancy;
}
function radius(d) {
return d.population;
}
function color(d) {
return d.region;
}
function key(d) {
return d.name;
}
 
var currentCountry = "";
 
// Chart dimensions.
var margin = {top: 19.5, right: 19.5, bottom: 19.5, left: 39.5},
width = 960 - margin.right,
height = 500 - margin.top - margin.bottom,
yearMargin = 105;
 
// Various scales. These domains make assumptions of data, naturally.
var xScale = d3.scale.log().domain([300, 1e5]).range([0, width - yearMargin]),
yScale = d3.scale.linear().domain([10, 85]).range([height, 0]),
radiusScale = d3.scale.sqrt().domain([0, 5e8]).range([0, 40]),
colorScale = d3.scale.category10();
 
// The x & y axes.
var xAxis = d3.svg.axis().orient("bottom").scale(xScale).ticks(12, d3.format(",d")),
yAxis = d3.svg.axis().scale(yScale).orient("left");
 
var yearScale = d3.scale.linear()
.domain([1800, 2009])
.range([48, height - 64])
// .range([box.x + 10, box.x + box.width - 10])
.clamp(true);
 
// Create the SVG container and set the origin.
var svg = d3.select("#chart").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
 
// Add the x-axis.
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
 
// Add the y-axis.
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
 
// Add an x-axis label.
svg.append("text")
.attr("class", "x label")
.attr("text-anchor", "end")
.attr("x", width - yearMargin)
.attr("y", height - 6)
.text("income per capita, inflation-adjusted (dollars)");
 
// Add a y-axis label.
svg.append("text")
.attr("class", "y label")
.attr("text-anchor", "end")
.attr("y", 6)
.attr("dy", ".75em")
.attr("transform", "rotate(-90)")
.text("life expectancy (years)");
 
// Add the year label; the value is set on transition.
var label = svg.append("text")
.attr("class", "year label")
.attr("text-anchor", "end")
.attr("y", 48)
.attr("x", width)
.text(1800);
 
var country = svg.append("text")
.attr("class", "country")
.attr("y", height - margin.bottom)
.attr("x", margin.left)
.text("");
 
// Load the data.
d3.json("nations.json", function (nations) {
var currentCountries=["China","Bangladesh","India"];
// A bisector since many nation's data is sparsely-defined.
var bisect = d3.bisector(function (d) {
return d[0];
});
 
// Add a dot per nation. Initialize the data at 1800, and set the colors.
var dots = svg.append("g")
.attr("class", "dots")
 
var dot = dots.selectAll(".dot")
.data(interpolateData(1800))
.enter().append("circle")
.attr("class", "dot")
.style("fill", function (d) {
return colorScale(color(d));
})
.style("opacity", function(d){ return currentCountry === "" && currentCountries.indexOf(d.name)!=-1 || currentCountry === d.name ? 1.0 : 0.1; })
// .on("click", function(d,i){
// var titleElement = this.firstChild;
// titleElement.getAttribute("class") === "hidden" ? titleElement.setAttribute("class", "visible") : titleElement.setAttribute("class", "hidden");
// })
// .on("mouseover", function(d,i) { country.text(d.name); })
// .on("touch", function(d,i) { country.text(d.name); })
// .on("mouseout", function(d,i) { country.text("")})
// .on("click", function(d,i){ country.text(d.name); country.attr("x", d3.mouse(this)[0] + 10); country.attr("y", d3.mouse(this)[1]); })
.on("click", function(d){
if (currentCountry === d.name){
currentCountry = "";
} else {
currentCountry = d.name;
}
country.text(currentCountry);
dot.style("opacity", function(d){ return currentCountry === "" && currentCountries.indexOf(d.name)!=-1 || currentCountry === d.name ? 1.0 : 0.1; })
})
.call(position)
.sort(order);
 
// Add a title.
dot.append("text")
.text(function (d) {
return d.name;
});
 
// Add an overlay for the year label.
var box = label.node().getBBox();
 
var overlay = svg.append("rect")
.attr("class", "overlay")
.attr("x", box.x)
.attr("y", box.y)
.attr("width", box.width)
.attr("height", height)
.on("mouseover", enableInteraction);
 
// Start a transition that interpolates the data based on year.
svg.transition()
.duration(30000)
.ease("linear")
.tween("year", tweenYear)
.each("end", enableInteraction);
 
// Positions the dots based on data.
function position(dot) {
dot.attr("cx", function (d) {
return xScale(x(d));
})
.attr("cy", function (d) {
return yScale(y(d));
})
.attr("r", function (d) {
return radiusScale(radius(d));
});
}
 
// Defines a sort order so that the smallest dots are drawn on top.
function order(a, b) {
return radius(b) - radius(a);
}
 
// After the transition finishes, you can mouseover to change the year.
function enableInteraction() {
 
 
// Cancel the current transition, if any.
svg.transition().duration(0);
 
overlay
.on("mouseover", mouseover)
.on("mouseout", mouseout)
.on("mousemove", mousemove)
.on("touchmove", mousemove);
 
function mouseover() {
label.classed("active", true);
}
 
function mouseout() {
label.classed("active", false);
}
 
function mousemove() {
// console.log(d3.mouse(this)[1]);
displayYear(yearScale.invert(Number(d3.mouse(this)[1])));
// displayYear(yearScale.invert(100));
}
}
 
// Tweens the entire chart by first tweening the year, and then the data.
// For the interpolated data, the dots and label are redrawn.
function tweenYear() {
var year = d3.interpolateNumber(1800, 2009);
return function (t) {
displayYear(year(t));
// displayYear(year(1980));
};
}
 
// Updates the display to show the specified year.
function displayYear(year) {
// console.log(year);
dot.data(interpolateData(year), key).call(position).sort(order);
label.text(Math.round(year))
.attr("y", 48 + (year - 1800) * (height - 64)/ (2009 - 1800));
}
 
// Interpolates the dataset for the given (fractional) year.
function interpolateData(year) {
return nations.map(function (d) {
return {
name: d.name,
region: d.region,
income: interpolateValues(d.income, year),
population: interpolateValues(d.population, year),
lifeExpectancy: interpolateValues(d.lifeExpectancy, year)
};
});
}
 
// Finds (and possibly interpolates) the value for the specified year.
function interpolateValues(values, year) {
var i = bisect.left(values, year, 0, values.length - 1),
a = values[i];
if (i > 0) {
var b = values[i - 1],
t = (year - a[0]) / (b[0] - a[0]);
return a[1] * (1 - t) + b[1] * t;
}
return a[1];
}
});
 
</script>
</body>
</html>
nations.json
JSON
1
[{"name":"Angola","region":"Sub-Saharan 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Pacific","income":[[1800,667.71],[1820,667.71],[1913,902.69],[1973,1874.54],[1974,1955.67],[1975,2022.32],[1976,2036.5],[1977,2116.11],[1978,2129.73],[1979,2148.21],[1980,2479.03],[1981,2836.58],[1982,3287.05],[1983,3523.52],[1984,3626.13],[1985,3891.13],[1986,3979.68],[1987,4088.36],[1988,3988.06],[1989,3975.5],[1990,3867.01],[1991,4087.24],[1992,4070.07],[1993,4195.1],[1994,4378.54],[1995,4490.38],[1996,4540.02],[1997,4432.97],[1998,4539.39],[1999,4718.65],[2000,4886.27],[2001,5026],[2002,5084.22],[2003,5228.76],[2004,5270.86],[2005,5135],[2006,5106.83],[2007,5114.47],[2008,5142.53],[2009,5104.06]],"population":[[1800,18658],[1843,18500],[1850,18500],[1900,20000],[1901,21000],[1911,23000],[1921,25000],[1931,29000],[1939,34000],[1950,45744],[1951,47378],[1952,49066],[1953,50808],[1954,52607],[1955,54465],[1956,56428],[1957,58168],[1958,59962],[1959,61811],[1960,63718],[1961,65683],[1962,67709],[1963,69797],[1964,71949],[1965,74168],[1966,76456],[1967,78816],[1968,81249],[1969,81900],[1970,83100],[1971,84300],[1972,85600],[1973,86800],[1974,87700],[1975,89200],[1976,90200],[1977,90593],[1978,90977],[1979,91352],[1980,91361],[1981,91769],[1982,92201],[1983,92628],[1984,92883],[1985,93352],[1986,93744],[1987,93982],[1988,93290],[1989,92744],[1990,92073],[1991,91218],[1992,92094],[1993,93734],[1994,94398],[1995,95158],[1996,96165],[1997,97399],[1998,98835],[1999,100475],[2000,102321],[2001,104227],[2002,106137],[2003,108141],[2004,110237],[2005,112422],[2006,114689],[2007,116921],[2008,118993]],"lifeExpectancy":[[1950,57.91],[1951,58.1],[1952,58.47],[1953,58.84],[1954,59.2],[1955,59.58],[1956,59.95],[1957,60.32],[1958,60.69],[1959,61.06],[1960,61.43],[1961,61.8],[1962,62.16],[1963,62.52],[1964,62.88],[1965,63.23],[1966,63.58],[1967,63.93],[1968,64.27],[1969,64.61],[1970,64.94],[1971,65.26],[1972,65.56],[1973,65.83],[1974,66.09],[1975,66.33],[1976,66.56],[1977,66.79],[1978,67.02],[1979,67.26],[1980,67.5],[1981,67.75],[1982,68],[1983,68.24],[1984,68.48],[1985,68.7],[1986,68.91],[1987,69.1],[1988,69.27],[1989,69.42],[1990,69.55],[1991,69.67],[1992,69.78],[1993,69.89],[1994,70],[1995,70.11],[1996,70.22],[1997,70.35],[1998,70.47],[1999,70.61],[2000,70.75],[2001,70.88],[2002,71.02],[2003,71.16],[2004,71.3],[2005,71.43],[2006,71.56],[2007,71.69],[2008,71.83],[2009,71.96]]},{"name":"Vietnam","region":"East Asia & Pacific","income":[[1800,459.71],[1820,459.71],[1870,440.8],[1913,634.17],[1950,573.94],[1951,589.87],[1952,605.07],[1953,621.19],[1954,638.49],[1955,654.19],[1956,665.99],[1957,676.29],[1958,684.6],[1959,690.41],[1960,696.95],[1961,708.2],[1962,772.05],[1963,769.51],[1964,780.9],[1965,764.66],[1966,749.36],[1967,637.12],[1968,609.88],[1969,644.57],[1970,641.06],[1971,657.68],[1972,699.5],[1973,729.17],[1974,683.26],[1975,619.17],[1976,705.88],[1977,713.54],[1978,702.65],[1979,693.39],[1980,660.36],[1981,668.83],[1982,707.24],[1983,729.51],[1984,777.06],[1985,805.22],[1986,809.93],[1987,820.8],[1988,851.42],[1989,868.8],[1990,893.88],[1991,927.11],[1992,989.02],[1993,1049.36],[1994,1121.67],[1995,1208.14],[1996,1300.38],[1997,1385.9],[1998,1445.95],[1999,1495.63],[2000,1577.53],[2001,1666.51],[2002,1764.46],[2003,1872.13],[2004,1996.87],[2005,2142],[2006,2289.34],[2007,2453.8],[2008,2574.44],[2009,2679.34]],"population":[[1800,6551000],[1820,6551000],[1870,10528000],[1913,19339000],[1950,25348144],[1951,25793577],[1952,26246839],[1953,26724094],[1954,27210027],[1955,27738063],[1956,28327287],[1957,28998543],[1958,29775192],[1959,30682902],[1960,31656282],[1961,32701357],[1962,33796140],[1963,34932464],[1964,36099052],[1965,37258369],[1966,38378468],[1967,39463910],[1968,40511528],[1969,41542068],[1970,42576676],[1971,43614366],[1972,44655014],[1973,45736496],[1974,46902295],[1975,48075207],[1976,49273016],[1977,50533506],[1978,51662728],[1979,52668447],[1980,53715202],[1981,54902677],[1982,56142181],[1983,57436347],[1984,58762040],[1985,60093068],[1986,61439826],[1987,62826491],[1988,64211347],[1989,65868481],[1990,67282704],[1991,68639527],[1992,69940728],[1993,71243961],[1994,72538927],[1995,73772337],[1996,74941175],[1997,76048996],[1998,77092383],[1999,78089676],[2000,79060410],[2001,79999453],[2002,80908147],[2003,81790803],[2004,82662800],[2005,83535576],[2006,84402966],[2007,85262356],[2008,86116559]],"lifeExpectancy":[[1800,32],[1930,32],[1936,33],[1950,39.42],[1951,39.67],[1952,40.17],[1953,40.66],[1954,41.16],[1955,41.65],[1956,42.15],[1957,42.64],[1958,43.13],[1959,43.63],[1960,44.13],[1961,44.62],[1962,45.12],[1963,45.61],[1964,46.11],[1965,46.6],[1966,47.06],[1967,47.49],[1968,47.91],[1969,48.34],[1970,48.82],[1971,49.4],[1972,50.11],[1973,50.95],[1974,51.92],[1975,52.96],[1976,54.01],[1977,55.02],[1978,55.93],[1979,56.74],[1980,57.45],[1981,58.09],[1982,58.71],[1983,59.35],[1984,60.04],[1985,60.8],[1986,61.63],[1987,62.53],[1988,63.47],[1989,64.44],[1990,65.41],[1991,66.35],[1992,67.24],[1993,68.05],[1994,68.79],[1995,69.45],[1996,70.04],[1997,70.59],[1998,71.11],[1999,71.61],[2000,72.08],[2001,72.51],[2002,72.91],[2003,73.26],[2004,73.56],[2005,73.83],[2006,74.07],[2007,74.29],[2008,74.5],[2009,74.7]]},{"name":"Vanuatu","region":"East Asia & Pacific","income":[[1800,829.58],[1820,829.58],[1913,1121.52],[1973,2282.11],[1974,2972.51],[1975,2746.96],[1976,2713.85],[1977,2605.69],[1978,2972.59],[1979,2999.82],[1980,2584.81],[1981,2624.32],[1982,2834.89],[1983,3359.3],[1984,3507.64],[1985,3464.31],[1986,3314.97],[1987,3251.27],[1988,3191.44],[1989,3217.72],[1990,3281.56],[1991,3574.86],[1992,3443.42],[1993,3492.04],[1994,3482.08],[1995,3555.62],[1996,3729.75],[1997,3840.47],[1998,3936.02],[1999,3741.1],[2000,3762.19],[2001,3575.45],[2002,3234.46],[2003,3251.04],[2004,3340.51],[2005,3477],[2006,3632.57],[2007,3779.08],[2008,3916.57],[2009,3943.3]],"population":[[1800,27791],[1820,27791],[1950,52000],[1951,53262],[1952,54554],[1953,55878],[1954,57233],[1955,58622],[1956,60044],[1957,61501],[1958,62993],[1959,64522],[1960,66087],[1961,67691],[1962,69333],[1963,71015],[1964,72577],[1965,74195],[1966,76132],[1967,78219],[1968,80571],[1969,82905],[1970,85400],[1971,88100],[1972,90800],[1973,93700],[1974,96600],[1975,99700],[1976,102800],[1977,106000],[1978,109400],[1979,113399],[1980,116771],[1981,120223],[1982,123745],[1983,127335],[1984,130982],[1985,134677],[1986,138418],[1987,142207],[1988,146040],[1989,149913],[1990,153785],[1991,157616],[1992,161399],[1993,165127],[1994,168793],[1995,172387],[1996,175927],[1997,179428],[1998,182882],[1999,186282],[2000,189618],[2001,192910],[2002,196178],[2003,199414],[2004,202609],[2005,205754],[2006,208869],[2007,211971],[2008,215053]],"lifeExpectancy":[[1950,40.8],[1951,41.1],[1952,41.7],[1953,42.3],[1954,42.9],[1955,43.5],[1956,44.1],[1957,44.7],[1958,45.3],[1959,45.9],[1960,46.5],[1961,47.1],[1962,47.7],[1963,48.3],[1964,48.9],[1965,49.5],[1966,50.1],[1967,50.7],[1968,51.3],[1969,51.9],[1970,52.5],[1971,53.1],[1972,53.7],[1973,54.3],[1974,54.9],[1975,55.5],[1976,56.12],[1977,56.74],[1978,57.36],[1979,57.98],[1980,58.58],[1981,59.14],[1982,59.65],[1983,60.11],[1984,60.52],[1985,60.92],[1986,61.34],[1987,61.8],[1988,62.32],[1989,62.9],[1990,63.51],[1991,64.11],[1992,64.66],[1993,65.14],[1994,65.53],[1995,65.87],[1996,66.15],[1997,66.44],[1998,66.73],[1999,67.06],[2000,67.42],[2001,67.8],[2002,68.18],[2003,68.56],[2004,68.92],[2005,69.26],[2006,69.58],[2007,69.89],[2008,70.2],[2009,70.5]]}]
params.js
JavaScript
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params={}
params.yearMin=1800
params.yearMax=2005
params.countryHighlights=['Bangladesh','India']
 
//*
params.jsondatafile="nations.json"
params.x='income'
params.y='lifeExpectancy'
params.radius='population'
params.color='region'
params.key='name'
params.xlabel="income per capita, inflation-adjusted (dollars)"
params.ylabel="life expectancy (years)"
 
params.ymin=10
params.ymax=85
params.xmin=300
params.xmax=1e5
params.rmin=0
params.rmax=5e8
 
params.xscale='log'
params.yscale='linear'
//*/
 
/*
params.jsondatafile="test_r.json"
params.x='Fertility'
params.y='GDP'
params.radius='Population'
params.color='Region'
params.key='Country'
 
params.ymin=250
params.ymax=120000
params.xmin=0
params.xmax=10
params.rmin=0
params.rmax=21000000
 
params.xlabel="Fertility"
params.ylabel="GDP"
 
params.yscale='linear'
params.xscale='linear'
 
//*/
rchart_motionchart.R
R
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#http://www.gapminder.org/data/ Income per person (GDP/capita, PPP$ inflation-adjusted)
gdp <- read.csv("./data/gapminder_gdp_per_capita_ppp.csv")
 
#http://www.gapminder.org/data/ Children per woman (total fertility)
fertility <- read.csv("./data/gapminder_total_fertility.csv")
require(reshape2)
gdp.m=melt(gdp)
fertility.m=melt(fertility)
gdp.m$variable=as.numeric(as.character(sub('X','',gdp.m$variable)))
fertility.m$variable=as.numeric(as.character(sub('X','',fertility.m$variable)))
fertility.m=fertility.m[!(is.na(fertility.m$value)),]
ff=fertility.m[!(is.na(fertility.m$value)),]
names(ff)=c('Country','Year','Fertility')
rownames(ff)=NULL
gg=gdp.m[!(is.na(gdp.m$value)),]
rownames(gg)=NULL
names(gg)=c('Country','Year','GDP')
fg=merge(ff,gg,by=c('Country','Year'))
 
fg$Region='Unknown'
fg$Population=11000000
 
#----http://stackoverflow.com/a/19729235/454773
pluck_ = function (element){
function(x) x[[element]]
}
 
#' Zip two vectors
zip_ <- function(..., names = F){
x = list(...)
y = lapply(seq_along(x[[1]]), function(i) lapply(x, pluck_(i)))
if (names) names(y) = seq_along(y)
return(y)
}
 
#' Sort a vector based on elements at a given position
sort_ <- function(v, i = 1){
v[sort(sapply(v, '[[', i), index.return = T)$ix]
}
 
library(plyr)
dat2 <- dlply(fg, .(Country, Region), function(d){
list(
Country = d$Country[1],
Region = d$Region[1],
Fertility = sort_(zip_(d$Year, d$Fertility)),
GDP = sort_(zip_(d$Year, d$GDP)),
Population=sort_(zip_(d$Year, d$Population))
)
})
 
#cat(rjson::toJSON(setNames(dat2, NULL)))
 
#---end
 
library(rCharts)
rChart <- rCharts$new()
rChart$setLib('.')
rChart$setTemplate(script = "./layouts/rchart_template.html")
 
rChart$set(
countryHighlights='',
yearMin=1800,
yearMax=2005,
x='Fertility',
y='GDP',
radius='Population',
color='Region',
key='Country',
ymin=250 ,
ymax=120000,
xmin=0,
xmax=10,
rmin=0,
rmax=21000000,
xlabel="Fertility",
ylabel="GDP",
yscale='linear',
xscale='linear'
)
 
rChart$set(
data= rjson::toJSON(setNames(dat2, NULL))
)
rchart_template.html
HTML
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Motion Chart</title>
<style>
 
/*@import url(../style.css?20120427);*/
 
#chart {
margin-left: 0px;
height: 506px;
}
 
text {
font: 10px sans-serif;
}
 
.dot {
stroke: #000;
}
 
.axis path, .axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
 
.label {
fill: #777;
}
 
.country {
font: 500 48px "Helvetica Neue";
text-anchor:center;
fill: #ddd;
}
 
.year.label {
font: 500 48px "Helvetica Neue";
fill: #ddd;
}
 
.year.label.active {
fill: #aaa;
}
 
.hidden {
color: #f00;
}
 
.visible {
color: #0f0;
}
 
.overlay {
fill: none;
pointer-events: all;
cursor: ns-resize;
}
 
</style>
</head>
<body>
 
<p id="chart"></p>
 
 
<p class="attribution"><strong>Source:</strong> <em>Tony Hirst, Pete Mitton, <a href="https://github.com/mbostock/bost.ocks.org/blob/gh-pages/mike/nations/index.html">Mike Bostock</a>, <a href="https://github.com/RandomEtc/mind-gapper-js">Tom Carden</a>, <a
href="http://gapminder.org">Gapminder</a>. JSON mapper for R by Ramnath Vaidyanathan, http://stackoverflow.com/a/19729235/454773</em></p>
 
 
<script src="http://code.jquery.com/jquery-1.10.1.min.js"></script>
<script src="http://d3js.org/d3.v2.js?2.8.1"></script>
 
<script>
var params={{{ chartParams }}}
 
/*
rChart$set(
x='Fertility',
y='GDP',
radius='Population',
color='Region',
key='Country',
 
ymin=250 ,
ymax=120000,
xmin=0,
xmax=10,
rmin=0,
rmax=21000000,
 
xlabel="Fertility",
ylabel="GDP",
 
yscale='linear',
xscale='linear'
)
*/
 
/*
 
params={}
params.yearMin=1800
params.yearMax=2005
params.countryHighlights=['Bangladesh','India']
 
params.jsondatafile="nations.json"
params.x='income'
params.y='lifeExpectancy'
params.radius='population'
params.color='region'
params.key='name'
params.xlabel="income per capita, inflation-adjusted (dollars)"
params.ylabel="life expectancy (years)"
 
params.ymin=10
params.ymax=85
params.xmin=300
params.xmax=1e5
params.rmin=0
params.rmax=5e8
 
params.xscale='log'
params.yscale='linear'
//*/
 
// Various accessors that specify the four dimensions of data to visualize.
function x(d) {
return d[params.x];
}
function y(d) {
return d[params.y];
}
function radius(d) {
return d[params.radius];
}
function color(d) {
return d[params.color];
}
function key(d) {
return d[params.key];
}
 
 
var currentCountry = "";
 
// Chart dimensions.
var margin = {top: 19.5, right: 19.5, bottom: 19.5, left: 39.5},
width = 960 - margin.right,
height = 500 - margin.top - margin.bottom,
yearMargin = 105;
 
// Various scales. These domains make assumptions of data, naturally.
//d3.scale.log() d3.scale.linear()
if (params.xscale=='log') var xScale = d3.scale.log().domain([params.xmin, params.xmax]).range([0, width - yearMargin])
else var xScale = d3.scale.linear().domain([params.xmin, params.xmax]).range([0, width - yearMargin])
if (params.yscale=='log') var yScale = d3.scale.log().domain([params.ymin, params.ymax]).range([height, 0])
else var yScale = d3.scale.linear().domain([params.ymin, params.ymax]).range([height, 0])
var radiusScale = d3.scale.sqrt().domain([params.rmin, params.rmax]).range([0, 40]),
colorScale = d3.scale.category10();
 
// The x & y axes.
var xAxis = d3.svg.axis().orient("bottom").scale(xScale).ticks(12, d3.format(",d")),
yAxis = d3.svg.axis().scale(yScale).orient("left");
 
var yearScale = d3.scale.linear()
.domain([params.yearMin, params.yearMax])
.range([48, height - 64])
// .range([box.x + 10, box.x + box.width - 10])
.clamp(true);
 
// Create the SVG container and set the origin.
var svg = d3.select("#chart").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
 
// Add the x-axis.
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
 
// Add the y-axis.
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
 
// Add an x-axis label.
svg.append("text")
.attr("class", "x label")
.attr("text-anchor", "end")
.attr("x", width - yearMargin)
.attr("y", height - 6)
.text(params.xlabel);
 
// Add a y-axis label.
svg.append("text")
.attr("class", "y label")
.attr("text-anchor", "end")
.attr("y", 6)
.attr("dy", ".75em")
.attr("transform", "rotate(-90)")
.text(params.ylabel);
 
// Add the year label; the value is set on transition.
var label = svg.append("text")
.attr("class", "year label")
.attr("text-anchor", "end")
.attr("y", 48)
.attr("x", width)
.text(params.yearMin);
 
var country = svg.append("text")
.attr("class", "country")
.attr("y", height - margin.bottom)
.attr("x", margin.left)
.text("");
 
 
function motionChart(nations) {
var currentCountries=params.countryHighlights;
// A bisector since many nation's data is sparsely-defined.
var bisect = d3.bisector(function (d) {
return d[0];
});
 
// Add a dot per nation. Initialize the data at 1800, and set the colors.
var dots = svg.append("g")
.attr("class", "dots")
 
var dot = dots.selectAll(".dot")
.data(interpolateData(params.yearMin))
.enter().append("circle")
.attr("class", "dot")
.style("fill", function (d) {
return colorScale(color(d));
})
.style("opacity", function(d){ return currentCountry === "" && ( currentCountries=='' || currentCountries.indexOf(d[params.key])!=-1 ) || currentCountry === d[params.key] ? 1.0 : 0.1; })
// .on("click", function(d,i){
// var titleElement = this.firstChild;
// titleElement.getAttribute("class") === "hidden" ? titleElement.setAttribute("class", "visible") : titleElement.setAttribute("class", "hidden");
// })
// .on("mouseover", function(d,i) { country.text(d[params.key]); })
// .on("touch", function(d,i) { country.text(d[params.key]); })
// .on("mouseout", function(d,i) { country.text("")})
// .on("click", function(d,i){ country.text(d[params.key]); country.attr("x", d3.mouse(this)[0] + 10); country.attr("y", d3.mouse(this)[1]); })
.on("click", function(d){
if (currentCountry === d[params.key]){
currentCountry = "";
} else {
currentCountry = d[params.key];
}
country.text(currentCountry);
dot.style("opacity", function(d){ return currentCountry === "" && ( currentCountries=='' || currentCountries.indexOf(d[params.key])!=-1) || currentCountry === d[params.key] ? 1.0 : 0.1; })
})
.call(position)
.sort(order);
 
// Add a title.
dot.append("text")
.text(function (d) {
return d[params.key];
});
 
// Add an overlay for the year label.
var box = label.node().getBBox();
 
var overlay = svg.append("rect")
.attr("class", "overlay")
.attr("x", box.x)
.attr("y", box.y)
.attr("width", box.width)
.attr("height", height)
.on("mouseover", enableInteraction);
 
// Start a transition that interpolates the data based on year.
svg.transition()
.duration(30000)
.ease("linear")
.tween("year", tweenYear)
.each("end", enableInteraction);
 
// Positions the dots based on data.
function position(dot) {
dot.attr("cx", function (d) {
return xScale(x(d));
})
.attr("cy", function (d) {
return yScale(y(d));
})
.attr("r", function (d) {
return radiusScale(radius(d));
});
}
 
// Defines a sort order so that the smallest dots are drawn on top.
function order(a, b) {
return radius(b) - radius(a);
}
 
// After the transition finishes, you can mouseover to change the year.
function enableInteraction() {
 
 
// Cancel the current transition, if any.
svg.transition().duration(0);
 
overlay
.on("mouseover", mouseover)
.on("mouseout", mouseout)
.on("mousemove", mousemove)
.on("touchmove", mousemove);
 
function mouseover() {
label.classed("active", true);
}
 
function mouseout() {
label.classed("active", false);
}
 
function mousemove() {
// console.log(d3.mouse(this)[1]);
displayYear(yearScale.invert(Number(d3.mouse(this)[1])));
// displayYear(yearScale.invert(100));
}
}
 
// Tweens the entire chart by first tweening the year, and then the data.
// For the interpolated data, the dots and label are redrawn.
function tweenYear() {
var year = d3.interpolateNumber(params.yearMin, params.yearMax);
return function (t) {
displayYear(year(t));
// displayYear(year(1980));