I tried now couple of things but I can not figure out why my ticks are wrong positioned. I used different sources to make this stacked barchart.
Here is the fiddle of my code: http://jsfiddle.net/azj7guec/
And here is the code itself:
var margin = {top: 20, right: 20, bottom: 70, left: 40},
width = 1000 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
x = d3.scale.ordinal().rangeRoundBands([0, width], .50);
y = d3.scale.linear().range([height, 0]);
z = d3.scale.ordinal().range(["darkblue", "blue", "lightblue"])
console.log("RAW MATRIX---------------------------");
// 4 columns: ID,c1,c2,c3
var matrix = [
[22,45,34,65],
[23,66,12,22],
[24,32,44,76],
[25,12,76,32],
[26, 67, 34, 56]
];
console.log(matrix)
var keys = matrix.map(function(item){return item[0]});
console.log("REMAP---------------------------");
var remapped =["c1","c2","c3"].map(function(dat,i){
return matrix.map(function(d,ii){
return {x: d[0], y: d[i+1] };
})
});
console.log(remapped)
console.log("LAYOUT---------------------------");
var stacked = d3.layout.stack()(remapped)
console.log(stacked)
//var yMax= d3.max(stacked)
x.domain(keys);
y.domain([0, d3.max(stacked[stacked.length - 1], function(d) { return d.y0 + d.y; })]);
// show the domains of the scales
console.log("x.domain(): " + x.domain())
console.log("y.domain(): " + y.domain())
console.log("------------------------------------------------------------------");
var yAxis = d3.svg.axis()
.scale(y)
.ticks(10)
.orient("left");
var xAxis = d3.svg.axis()
.scale(x)
.tickValues(keys)
.orient("bottom");
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)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", function(d) {
return "rotate(-65)"
});
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Open Issues");
// Add a group for each column.
var valgroup = svg.selectAll("g.valgroup")
.data(stacked)
.enter().append("g")
.attr("class", "valgroup")
.style("fill", function(d, i) { return z(i); })
.style("stroke", function(d, i) { return d3.rgb(z(i)).darker(); });
// Add a rect for each date.
var rect = valgroup.selectAll("rect")
.data(function(d){return d;})
.enter().append("rect")
.attr("width", 20)
.attr("x", function(d) { return x(d.x); })
.attr("y", function(d) { return y(d.y0 + d.y); })
.attr("height", function(d) { return y(d.y0) - y(d.y0 + d.y); });
//.attr("width", x.rangeBand());
Hope someone can help me.
The ordinal scale divides its output range into intervals based on the input domain. Your current positioning puts the bars at the beginning of those intervals, whereas the ticks are in the center. To match up the positions, add half the interval minus half the bar width to the beginning of the interval:
.attr("x", function(d) { return x(d.x) + (x.rangeBand() - 20) / 2; })
Complete demo here.
Related
I have this JSON data
{"1960":"133.55501327769","1961":"134.159118941963","1962":"134.857912280869","1963":"134.504575565342","1964":"134.105211273476","1965":"133.569625896451","1966":"132.675635192775","1967":"131.665502129354","1968":"129.190980115918","1969":"126.736756382819","1970":"124.382808900193","1971":"122.133431342027","1972":"120.020185557559","1973":"118.087531093609","1974":"116.132988067096","1975":"114.100918174437","1976":"111.980005447216","1977":"109.783821762662","1978":"106.033489239906","1979":"102.341720681455","1980":"98.7390023274647","1981":"95.2412508672801","1982":"91.7911923993222","1983":"88.0011769487606","1984":"84.2072557839419","1985":"80.3593225600132","1986":"76.4415956498419","1987":"72.5145803648751","1988":"71.1706639452677","1989":"69.8887679924858","1990":"69.0044133814268","1991":"67.7559924352118","1992":"66.9284506867798","1993":"64.9489678572737","1994":"62.9227777228154","1995":"60.7070695260477","1996":"58.5966308804751","1997":"56.4401276304142","1998":"55.5315395528949","1999":"54.6587808352011","2000":"53.8314102398679","2001":"52.9015276443892","2002":"51.9907926813042","2003":"51.5228563035101","2004":"51.1032496482833","2005":"50.7325902239383","2006":"50.3291352282938","2007":"49.9998514069402","2008":"49.8870459355469","2009":"49.7812066054555","2010":"49.6729747116906","2011":"49.5360469363113","2012":"49.3837446924523","2013":"48.7965576984378","2014":"48.1964180547578","2015":"47.5501940499984","Country Name":"Arab World","Country Code":"ARB","Indicator Name":"Adolescent fertility rate (births per 1,000 women ages 15-19)","Indicator Code":"SP.ADO.TFRT","":""}
which I convert from CSV to JS object.
How do I build a bar chart with d3.js where the key is the X axis and the values are the Y axis?
here's what I came up with
var margin = {top: 20, right: 20, bottom: 70, left: 40},
width = 600 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
// set the ranges
var x = d3.scale.ordinal().rangeRoundBands([0, width], .05);
var y = d3.scale.linear().range([height, 0]);
// define the axis
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(10);
// add the SVG element
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 + ")");
d3.queue()
.defer(d3.csv, "http://localhost:8000/HNP_Data.csv")
.defer(d3.csv, "http://localhost:8000/HNP_Series.csv")
.await(analyze);
var dataToVis;
var array = []
function analyze(error,data,series) {
dataToVis = data[2];
console.log(JSON.stringify(dataToVis));
for (var key in dataToVis) {
if(!isNaN(key) && key.length >0) {
var p = new Object;
p.year = key;
p.frequency = p(dataToVis[key]);
array.push(p);
}
}
array.forEach(function(d){
d.year = d.year;
d.frequency = +d.frequency;
});
x.domain(data.map(function(d) { return d.year; }));
y.domain([0, d3.max(data, function(d) { return d.frequency; })]);
// add axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", "-.55em")
.attr("transform", "rotate(-90)" );
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 5)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Frequency");
// Add bar chart
svg.selectAll("bar")
.data(array)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.year); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.frequency); })
.attr("height", function(d) { return height - y(d.frequency); });
}
but I end up with this error.
Error: <rect> attribute y: Expected length, "NaN".
Error: <rect> attribute height: Expected length, "NaN".
I am having a lot of trouble with D3 bar chart where the length of the data I get from search is variable. I used the D3 bar chart example and built this. However as data length goes up, the graph gets less and less legible. The problem seems to be the range gets confused when it is beyond 100 points or so.
Code is below:
function makegraph(data,ctype) {
//var data=xdata.splice(-900)
var gwidth=data.length*2;
if(gwidth < 800) gwidth=800;
//gwidth=800
var margin = {top: 9, right: 20, bottom: 30, left: 90},
width = gwidth - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
//x=d3.scale.linear().domain([0,1]).range(0,width)
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickFormat(function(d) { if (d % 10) return ""; else return d;})
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
// .ticks(10, "%");
d3.select("svg").remove()
var svg = d3.select("#graphchart").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 + ")");
var line = d3.svg.line()
.x(function(d) { return x(d.rowid); })
.y(function(d) { return y(d[ctype]); });
x.domain(data.map(function(d) { return d.rowid; }));
var ymax=d3.max(data, function(d) { return d[ctype]; });
var ymin=d3.min(data, function(d) { return d[ctype]; });
y.domain([ymin, ymax]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", Math.log10(ymax))
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Bytes");
// console.log(x.rangeBand())
var bar = svg.selectAll(".bar")
.data(data);
bar.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.rowid); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d[ctype]); })
.attr("height", function(d) { var xya= height - y(d[ctype]); /* console.log(xya+":"+d[ctype]); */ return height - y(d[ctype]); })
/* .attr("title", function(d) { return d['bytes']+" Bytes at "+d.stime; }) */
.on("mouseover", function(d) { $("#graphinfo").html(d3.format('0,000')(d['bytes'])+" Bytes at "+d.stime) })
.on("mouseout",function(d) { $("#graphinfo").html(' ')})
.on("click",function(d) { tablegraph(d)});
$('.bar').tooltip()
}
Do you have suggestions how I can make this graph so that the bar chart will grow horizontally for larger data sets? Thanks for any help and suggestions!
Vijay
I have built a barchart with D3 but I'm running into these 2 minor issues which I am not be able to fix.
1) The first bar of the barchart overlaps the y axis
2) The labels of the y axis ticks are disappearing on the left side when the number(Volume) exceeds 1 million.
Here is a snapshot of what is happening:
Here's my D3 code:
function drawGraph(dataGraph){
if (dataGraph.length == 0){
$('#graph-container').append('<h3>No Data Match</h3>');
return;
}
var margin = {top: 20, right: 20, bottom: 70, left: 40},
width = 900 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom,
padding = 15;
var max = d3.max(dataGraph, function(d) { return +d.VOLUME;} );
var maxDate = d3.max(dataGraph, function(d) { return +d.AS_OF_DATE;} );
var x = d3.scale.ordinal()
.domain(dataGraph.map(function(d) {return d.AS_OF_DATE;}))
.rangeRoundBands([0, (width- padding )], .1);
var y = d3.scale.linear()
.domain([0,max])
.range([height,0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient('bottom');
var yAxis = d3.svg.axis()
.scale(y)
.orient('left')
.ticks(10);
var svg = d3.select("#graph-container")
.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)
.selectAll("text")
.style("text-anchor", "end")
.style("color", "#333")
.attr("dx", "-.8em")
.attr("dy", "-.55em")
.attr("transform", "rotate(-90)" );
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + padding + ",0)")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.style("color", "#333")
.text("Volume");
svg.selectAll('.bar')
.data(dataGraph)
.enter().append('rect')
.attr('class', 'bar')
.attr("x", function(d) { return x(d.AS_OF_DATE); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.VOLUME); })
.attr("height", function(d) { return height - y(d.VOLUME); });
}
Problem:
I've got a D3.js scatter plot that has 16 different data sets, but it seems like D3 has only 10 different colours built-in before it repeats. You can see what I mean by clicking that link.
Code:
function updatePlot() {
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.linear()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.category10();
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 + ")");
d3.csv("data.csv", function(error, data) {
data.forEach(function(d) {
d.sepalLength = +d.sepalLength;
d.sepalWidth = +d.sepalWidth;
});
x.domain(d3.extent(data, function(d) { return d.sepalWidth; })).nice();
y.domain(d3.extent(data, function(d) { return d.sepalLength; })).nice();
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("HPF/LPF Intensity Ratio");
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "label")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("HPF Intensity (relative units)")
svg.selectAll(".dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", function(d) { return x(d.sepalWidth); })
.attr("cy", function(d) { return y(d.sepalLength); })
.style("fill", function(d) { return color(d.species); });
var legend = svg.selectAll(".legend")
.data(color.domain())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
}
(The code is pretty much copy/paste from here with a little customisation in the areas of D3 that I understand)
Thanks!
This part of the docs has the answer: Ordinal-Scales#categorical-colors. Thanks to user and Lars Kotthoff!
Simply replaced category10 with category20.
I've been trying to implement Reusability on a histogram plotted using d3.
I want that after plotting of the dataset, I want to plot statistical mean, variance etc. on the same plot.These would be user driven, basically I want to use the same plot.
Here's my attempt on coding the skeleton histogram code
function histogram(){
//Defaults
var margin = {top: 20, right: 20, bottom: 20, left: 20},
width = 760,
height = 200;
function chart(selection){
selection.each(function(d,i){
var x = d3.scale.linear()
.domain( d3.extent(d) )
.range( [0, width] );
var data = d3.layout.histogram()
//Currently generates 20 equally spaced bars
.bins(x.ticks(20))
(d);
var y = d3.scale.linear()
.domain([0, d3.max(d) ])
.range([ height - margin.top - margin.bottom, 0 ]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var svg = d3.select(this).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 + ")");
var bar = svg.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", "bar");
/*
Corrected bars
bar.append("text")
.attr("dy", ".75em")
.attr("y", 6)
.attr("x", x(data[0].dx) / 2)
.attr("text-anchor", "middle")
.text(function(d) { return formatCount(d.y); });
*/
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class","y axis")
.call(yAxis);
bar.append("rect")
.attr("x", function(d,i){ return x(d.x); })
.attr("width", x(data[0].dx) - 1)
.attr('y',height)
.transition()
.delay( function(d,i){ return i*50; } )
.attr('y',function(d){ return y(d.y) })
.attr("height", function(d) { return height - y(d.y); });
});
}
//Accessors//
chart.width = function(value) {
if (!arguments.length) return width;
width = value;
return chart;
};
chart.height = function(value) {
if (!arguments.length) return height;
height = value;
return chart;
};
return chart;
}
It's assigning a negative width for bars. My input dataset would simply be an array of numbers and I need to plot the frequency distribution
If you're asking how to implement the avg, standard deviation, once you have your histogram you can draw lines and text on it to represent the avg. I would calculate which bar the average is in, and the % of the way through the bar and then something like this:
var averageBar = vis.selectAll("g.bar:nth-child(" + (averageBarIndex + 1) + ")");
averageBar.append("svg:line")
.attr("x1", 0)
.attr("y1", y.rangeBand()*averageBarPercentage)
.attr("x2", w)
.attr("y2", y.rangeBand() * averageBarPercentage)
.style("stroke", "black");
averageBar.append("svg:text")
.attr("x", w-150)
.attr("y", y.rangeBand() * averageBarPercentage-15)
.attr("dx", -6)
.attr("dy", "10px")
.attr("text-anchor", "end")
.text("Average");
That will give you a line marking the average, you can do similar for the standard deviation.