I am trying to visualize a dataset to see major players in the pangolin trade. I want each country to be part of a categorical scale on the y-axis, and the x-axis is the date, and I want each trade instance to be represented as a circle, with x being the date it happened, y being the position for that particular country, and r being the number of instances accumulated so far (represented in my data as r). Basically my data is from 2010 to 2016, and includes the country name where pangolins are either imported to or exported from, the count (accumulated trade instances up until this date), and the date (yyyy-mm-dd).
Below is part of my data, which I store in the variable trade:
[{"date":"2010-10-22","country":"Thailand","rank":4,"count":1},{"date":"2010-10-28","country":"Malaysia","rank":2,"count":1},{"date":"2010-11-8","country":"Thailand","rank":4,"count":2},{"date":"2010-11-18","country":"Nepal","rank":7,"count":1},{"date":"2010-11-22","country":"China","rank":5,"count":1},{"date":"2010-11-22","country":"China","rank":5,"count":2},{"date":"2010-11-27","country":"India","rank":1,"count":1},{"date":"2010-11-28","country":"India","rank":1,"count":2},{"date":"2010-11-28","country":"India","rank":1,"count":3},{"date":"2010-11-30","country":"India","rank":1,"count":4},{"date":"2010-12-17","country":"Malaysia","rank":2,"count":2},{"date":"2010-12-22","country":"Vietnam","rank":3,"count":1},{"date":"2011-01-3","country":"Nepal","rank":7,"count":2},{"date":"2011-02-12","country":"Myanmar","rank":8,"count":1},{"date":"2011-02-25","country":"Malaysia","rank":2,"count":3},{"date":"2011-02-26","country":"Malaysia","rank":2,"count":4},{"date":"2011-03-2","country":"South Africa","rank":18,"count":1},{"date":"2011-03-2","country":"Rwanda","rank":35,"count":1},{"date":"2011-03-2","country":"Mozambique","rank":22,"count":1},{"date":"2011-03-2","country":"Kenya","rank":12,"count":1},{"date":"2011-03-3","country":"China","rank":5,"count":3},{"date":"2011-02-21","country":"Vietnam","rank":3,"count":2},{"date":"2011-03-24","country":"Malaysia","rank":2,"count":5},{"date":"2011-04-4","country":"Malaysia","rank":2,"count":6},{"date":"2011-03-25","country":"India","rank":1,"count":5},{"date":"2011-03-26","country":"Malaysia","rank":2,"count":7},{"date":"2011-04-2","country":"Nepal","rank":7,"count":3},{"date":"2011-04-20","country":"Thailand","rank":4,"count":3},{"date":"2011-05-11","country":"China","rank":5,"count":4},{"date":"2011-05-11","country":"China","rank":5,"count":5},{"date":"2011-05-26","country":"Indonesia","rank":6,"count":1},{"date":"2011-05-26","country":"India","rank":1,"count":6},{"date":"2011-05-29","country":"Indonesia","rank":6,"count":2},{"date":"2011-06-6","country":"India","rank":1,"count":7},{"date":"2011-06-7","country":"Mozambique","rank":22,"count":2},{"date":"2011-06-5","country":"India","rank":1,"count":8},{"date":"2011-06-12","country":"Malaysia","rank":2,"count":8},{"date":"2011-06-13","country":"Singapore","rank":21,"count":1},{"date":"2011-06-14","country":"Malaysia","rank":2,"count":9},{"date":"2011-06-17","country":"India","rank":1,"count":9},{"date":"2011-06-19","country":"India","rank":1,"count":10},{"date":"2011-06-26","country":"Thailand","rank":4,"count":4},{"date":"2011-06-30","country":"India","rank":1,"count":11},{"date":"2011-07-4","country":"Malaysia","rank":2,"count":10},{"date":"2011-07-5","country":"Zimbabwe","rank":14,"count":1},{"date":"2011-07-12","country":"Indonesia","rank":6,"count":3},{"date":"2011-07-18","country":"Indonesia","rank":6,"count":4},{"date":"2011-07-27","country":"Nepal","rank":7,"count":4},{"date":"2011-08-16","country":"Nepal","rank":7,"count":5},{"date":"2011-08-19","country":"Namibia","rank":33,"count":1},{"date":"2011-08-23","country":"India","rank":1,"count":12},{"date":"2010-09-17","country":"Myanmar","rank":8,"count":2},{"date":"2011-09-1","country":"Zimbabwe","rank":14,"count":2},{"date":"2011-09-13","country":"Indonesia","rank":6,"count":5},{"date":"2011-09-13","country":"Malaysia","rank":2,"count":11},{"date":"2011-09-13","country":"Myanmar","rank":8,"count":3},{"date":"2011-09-21","country":"Malaysia","rank":2,"count":12},{"date":"2011-09-26","country":"Thailand","rank":4,"count":5},{"date":"2011-09-30","country":"Indonesia","rank":6,"count":6},{"date":"2011-10-1","country":"Sri Lanka","rank":19,"count":1},{"date":"2011-10-6","country":"India","rank":1,"count":13},{"date":"2011-10-7","country":"India","rank":1,"count":14},{"date":"2011-10-18","country":"Indonesia","rank":6,"count":7},{"date":"2011-10-18","country":"Indonesia","rank":6,"count":8},{"date":"2011-10-18","country":"Indonesia","rank":6,"count":9},{"date":"2011-10-22","country":"India","rank":1,"count":15},{"date":"2011-10-24","country":"India","rank":1,"count":16},{"date":"2011-11-28","country":"United States","rank":32,"count":1},{"date":"2011-12-15","country":"Vietnam","rank":3,"count":3},{"date":"2011-12-27","country":"Thailand","rank":4,"count":6},{"date":"2012-01-4","country":"Philippines","rank":15,"count":1},{"date":"2012-01-5","country":"Kenya","rank":12,"count":2},{"date":"2012-01-6","country":"Philippines","rank":15,"count":2},{"date":"2012-01-17","country":"Philippines","rank":15,"count":3},{"date":"2012-01-24","country":"China","rank":5,"count":6},{"date":"2012-02-22","country":"Malaysia","rank":2,"count":13},{"date":"2012-03-1","country":"Malaysia","rank":2,"count":14},{"date":"2012-03-19","country":"Pakistan","rank":11,"count":1},{"date":"2012-03-21","country":"Malaysia","rank":2,"count":15},{"date":"2012-03-23","country":"Vietnam","rank":3,"count":4},{"date":"2012-04-27","country":"Vietnam","rank":3,"count":5},{"date":"2012-04-23","country":"Belgium","rank":31,"count":1},{"date":"2012-06-7","country":"Thailand","rank":4,"count":7},{"date":"2012-06-7","country":"Thailand","rank":4,"count":8}];
and here is my code:
var margin = {left:120, top:20, right:0, bottom:50};
var width = 1000;
var height = 800;
var data=trade;
var tradeByCountry = d3.nest()
.key(function(d) { return d.country; })
.entries(trade);
console.log(tradeByCountry);
tradeByCountry.forEach(function(country){
country['number']=country.values.length;
console.log(country);
});
var country_colors = ["#393b79","#5254a3", '#6b6ecf', '#9c9ede', '#637939', '#8ca252','#b5cf6b','#cedb9c',
'#8c6d31','#bd9e39','#e7ba52','#e7cb94','#843c39','#ad494a','#d6616b','#e7969c','#7b4173','#a55194',
'#ce6dbd','#de9ed6', '#9467bd', '#c5b0d5','#3182bd', '#6baed6','#17becf','#9edae5','#e6550d','#fd8d3c','#fdae6b',
'#31a354','#74c476','#a1d99b','#d62728','#ff9896','#7f7f7f','#c7c7c7'];
var colors = d3.scale.ordinal()
.domain(d3.range(tradeByCountry.length))
.range(country_colors);
tradeByCountry.sort(function(x, y){
return d3.descending(x.number, y.number);
})
var countriesArray = [];
tradeByCountry.forEach(function(country){
countriesArray.push(country.key);
});
console.log(countriesArray);
var x = d3.time.scale()
.rangeRound([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var timeFormat = d3.time.format("%Y-%m-%d");
x.domain([timeFormat.parse('2010-10-22'),timeFormat.parse('2016-12-30')]);
y.domain(countriesArray);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var svg = d3.select("body").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 + ")");
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", -6)
.style("text-anchor", "end")
.text("date");
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "label")
.attr("transform", "translate(35,-25)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("countries");
svg.selectAll(".dot")
.data(tradeByCountry)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 7)
.attr("cx", function(d) { return 0; })
.attr("cy", function(d,i) { return (height/tradeByCountry.length)*i; })
.style("fill", function(d,i) { return colors(i); });
svg.selectAll("text.labels")
.data(tradeByCountry)
.enter()
.append("text")
.text(function(d) {return d.key})
.attr("x", 0)
.attr("y", function(d,i) { return (height/tradeByCountry.length)*i; })
.attr("transform", "translate(-120,5)")
.attr("fill",function(d,i) { return colors(i); });
svg.selectAll('.line')
.data(tradeByCountry)
.enter().append('line')
.attr("x1", 0) // x position of the first end of the line
.attr("y1",function(d,i) { return (height/tradeByCountry.length)*i; })
.attr("x2", width) // x position of the second end of the line
.attr("y2", function(d,i) { return (height/tradeByCountry.length)*i; })
.style("stroke",function(d,i) { return colors(i); })
.attr("id", function(d){return d.key});
//PROBLEM HERE!!!!!!!!!!!
var g = svg
.selectAll("g")
.data(tradeByCountry)
.enter().append("g")
.selectAll(".dot")
.data(function(d) {return d.values;})
.enter().append("circle")
.attr("id", function(d){ return d.count;})
.attr("r", function(d){return d.count;})
.attr("cx", function(d,i) { console.log (d.date);return (x(timeFormat.parse(d.date))); })
.attr("cy", function(d,i) { return (height/tradeByCountry.length)*i; })
.style("fill", function(d,i) { return colors(i); });
I am having trouble specifically at the very last part of my code, where I can't get all the circles to draw and not in the correct r, as I would like r to increase as the trade accumulates over time for a country, instead it seems that r is different according to country:
Two things, firstly in your example .selectAll("g") at the point you mark as having the error was picking up g elements in the axes, so the first few countries weren't getting their data displayed. This doesn't appear to be the case in your screenshot but it was happening given the code you posted, so I just qualified those gs with the .country class.
The second thing, and what was causing your specific problem was this line:
.attr("cy", function(d,i) { return (height/tradeByCountry.length)*i; })
I'm guessing you thought the index variable i here was still tied to the tradeByCountry array, which it would have been after selectAll("g.country").data(tradebyCountry) but at this point we've now made a nested selection .selectAll(".dot") on d.values for each country's data so i is now indexing those list of values. So that line of code above will take the values for each country and separate them all vertically, always starting from the top row - when in fact you want them on the same line, just separated by country.
What you wanted (I = India, M = Malaysia, T = Thailand)
I--- I0 I1 I2
M--- M0M1 M2
T--- T0 T1 T2
What you were getting
I--- I0 M0 T0
M--- M1 I1 T1
T--- I2 T2 M2
This was also hidden by the fact .attr("fill") also had the same mistake so the colours on each row were consistent (I've used d.rank instead to fix it).
Solution 1: To make sure the values stay on the same correct line use i before you do the nested selection so it still refers to the countries like this, which will offset each g element by the correct amount:
.attr("transform", function(d,i) {
return "translate(0,"+(height/tradeByCountry.length)*i+")";
})
and simply set cy to be zero for everything you add to this g element and they'll all be in a straight line (and on the right line)
Full code at the PROBLEM HERE! stage:
var g = svg
.selectAll("g.country")
.data(tradeByCountry)
.enter().append("g")
.attr("class", "country")
.attr("transform", function(d,i) {
return "translate(0,"+(height/tradeByCountry.length)*i+")";
})
.selectAll(".dot")
.data(function(d) {return d.values;})
.enter().append("circle")
.attr("class", "dot")
.attr("id", function(d){ return d.country+"_"+d.date+"_"+d.count;})
.attr("r", function(d){ return d.count;})
.attr("cx", function(d,i) { console.log (d.date);return (x(timeFormat.parse(d.date))); })
.attr("cy", function(d,i) { return 0; })
.style("fill", function(d,i) { return colors(d.rank); });
http://jsfiddle.net/d4typ567/1/
Solution 2: It's also the case that d3 maintains a parent index variable for nested selections (usually denoted ii) that can be passed into most d3 .attr and .style functions, so you could do .attr("cy", function(d,i, ii) { return (height/tradeByCountry.length)*ii; }) instead, but offsetting the g element is only 1 operation whereas this is done for every circle. Remember to do the same for the color (fill) function.
Is it possible to make an OHLC or Candlestick chart with d3js or plugins built from one of it or its forks? d3.js is a very powerful charting library built in javascript and it would be nice to customize charts built using it down further using its amazing abilities.
I found this one, and looks very nice.
http://phrogz.net/js/d3-playground/#StockPrice_HTML
Have a look at this example. It does exactly what you want.
Update: The link above is currently broken, but #lakenen was so kind as to provide a fixed version here.
I know this question is an old question but I spent lots of time looking for a working example in 2017 and found very little.
Below is a working format for a candlestick chart using d3.js v4. The data in the code below is an array which in my case was being brought in from c# in the back.
var twoHundredDayCandleStickChart = [];
var width = 900;
var height = 500;
var margin = 50;
function min(a, b) { return a < b ? a : b; }
function max(a, b) { return a > b ? a : b; }
var y = d3.scaleLinear().range([height - margin, margin]);
var x = d3.scaleTime().range([margin, width - margin]);
//line for the sma
var line1 = d3.line()
.x(function (d) { return x(d["date"]); })
.y(function (d) { return y(d["sma"]); });
function buildChart(data) {
data.forEach(function (d) {
d.date = new Date(d.date);
d.high = +d.high;
d.low = +d.low;
d.open = +d.open;
d.close = +d.close;
d.sma = +d.sma;
});
var chart = d3.select("#divId")
.append("svg")
.attr("class", "chart")
.attr("width", width)
.attr("height", height);
y.domain([d3.min(data.map(function (x) { return x["low"]; })), d3.max(data.map(function (x) { return x["high"]; }))])
x.domain(d3.extent(data, function (d) { return d["date"]; }))
chart.selectAll("line.x")
.data(x.ticks(10))
.enter().append("line")
.attr("class", "x")
//.text(String)
.attr("x1", x)
.attr("x2", x)
.attr("y1", margin)
.attr("y2", height - margin)
.attr("stroke", "#ccc");
chart.selectAll("line.y")
.data(y.ticks(10))
.enter().append("line")
.attr("class", "y")
.attr("x1", margin)
.attr("x2", width - margin)
.attr("y1", y)
.attr("y2", y)
.attr("stroke", "#ccc");
chart.append("g")
.attr("transform", "translate(0," + 450 + ")") //need to change this 450 to a variable- it is how far down the axis will go
.attr("class", "xrule")
.call(d3.axisBottom(x))
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", function (d) {
return "rotate(-65)"
});
chart.selectAll("text.yrule")
.data(y.ticks(10))
.enter()
.append("text")
.attr("class", "yrule")
.attr("x", 0)
.attr("y", y)
.attr("dy", 0)
.attr("dx", 20)
.attr("text-anchor", "middle")
.text(String);
chart.selectAll("rect")
.data(data)
.enter().append("rect")
.attr("x", function (d) { return x(d["date"]); })
.attr("y", function (d) { return y(max(d["open"], d["close"])); })
.attr("height", function (d) { return y(min(d["open"], d["close"])) - y(max(d["open"], d["close"])); })
.attr("width", function (d) { return 0.5 * (width - 2 * margin) / data.length; })
.attr("fill", function (d) { return d["open"] > d["close"] ? "red" : "green"; });
chart.selectAll("line.stem")
.data(data)
.enter().append("line")
.attr("class", "stem")
.attr("x1", function (d) { return x(d["date"]) + 0.25 * (width - 2 * margin) / data.length; })
.attr("x2", function (d) { return x(d["date"]) + 0.25 * (width - 2 * margin) / data.length; })
.attr("y1", function (d) { return y(d["high"]); })
.attr("y2", function (d) { return y(d["low"]); })
.attr("stroke", function (d) { return d.open > d.close ? "red" : "green"; });
chart.append("path")
.data([data])
.attr("d", line1)
.attr("class", "line")
.style("stroke", "white")
.attr("fill", "none")
.attr("stroke-width", 2);
}
techan.js does what you need. As shown on their home page:
A visual, stock charting (Candlestick, OHLC, indicators) and technical analysis library built on D3. Build interactive financial charts for modern and mobile browsers.
There is another working example by Andre Dumas shown here, with example code. That was last updated 2017-07-07.