Can't decrease number of ticks in axisBottom - javascript

I'm trying to create some bar chart with the U.S. GDP growth. In the x axis, all the YYYY-MM-DD values are shown even though I explicitly set .call(d3.axisBottom(x).ticks(10); What should I do? I tried it with d3.timeYear.every(25) too.
Here's my code:
var url = "https://raw.githubusercontent.com/FreeCodeCamp/ProjectReferenceData/master/GDP-data.json";
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 40},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom;
var x = d3.scaleBand().rangeRound([0, width]).padding(0.1),
y = d3.scaleLinear().rangeRound([height, 0]);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.json(url, function(error, data) {
if (error) throw error;
x.domain(data.data.map(function(d) { return d[0]; }));
y.domain([0, d3.max(data.data, function(d) { return d[1]; })]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).ticks(d3.timeYear.every(25)));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y).ticks(10))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("font-size", "30px")
.attr("font-color", "black")
.attr("dy", "7.71em")
.attr("text-anchor", "end")
.text("Frequency");
g.selectAll(".bar")
.data(data.data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d[0]); })
.attr("y", function(d) { return y(d[1]); })
.attr("width", x.bandwidth())
.attr("height", function(d) { return height - y(d[1]); });
});

You have two problems here. First, you are using a band scale, and d3.timeYear.every(25) will have no effect. But, on top on that, you're using that d3.timeYear.every(25) inside a ticks function, and that won't work.
According to the API:
This method has no effect if the scale does not implement scale.ticks, as with band and point scales. (emphasis mine)
Thus, a possible solution is filtering the band scale's domain inside a tickValues function.
In this example, I'm filtering one tick out of every 20. Also, I'm splitting the string to show only the year:
d3.axisBottom(x).tickValues(x.domain().filter(function(d, i) {
return !(i % 20);
})).tickFormat(function(d) {
return d.split("-")[0]
});
Here is your code with that change:
var url = "https://raw.githubusercontent.com/FreeCodeCamp/ProjectReferenceData/master/GDP-data.json";
var svg = d3.select("svg"),
margin = {
top: 20,
right: 10,
bottom: 30,
left: 50
},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom;
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x = d3.scaleBand().range([0, width]).padding(0.1),
y = d3.scaleLinear().rangeRound([height, 0]);
d3.json(url, function(error, data) {
if (error) throw error;
x.domain(data.data.map(function(d) {
return d[0];
}));
y.domain([0, d3.max(data.data, function(d) {
return d[1];
})]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).tickValues(x.domain().filter(function(d, i) {
return !(i % 20);
})).tickFormat(function(d) {
return d.split("-")[0]
}))
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y).ticks(10))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("font-size", "30px")
.attr("font-color", "black")
.attr("dy", "7.71em")
.attr("text-anchor", "end")
.text("Frequency");
g.selectAll(".bar")
.data(data.data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) {
return x(d[0]);
})
.attr("y", function(d) {
return y(d[1]);
})
.attr("width", x.bandwidth())
.attr("height", function(d) {
return height - y(d[1]);
});
});
<script src="https://d3js.org/d3.v4.min.js"></script>
<svg width="600" height="400"></svg>

Related

Focus not displaying the graph properly D3 javascript

Here is the template for my Django where I am visualizing training using D3:
.line {
fill: none;
stroke: gray;
stroke-width: 2px;
}
<meta charset="utf-8">
<body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var real = {{values.real0|safe}}, pred = {{values.got0|safe}};
var margin = {top: 20, right: 20, bottom: 110, left: 50},
margin2 = {top: 430, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
height2 = 500 - margin2.top - margin2.bottom;
var x = d3.scaleLinear().range([0, width]).domain([0, Object.keys(real).length]),
x2 = d3.scaleLinear().range([0, width]).domain([0, Object.keys(real).length]),
y = d3.scaleLinear().range([height, 0]).domain([0, 1]),
y2 = d3.scaleLinear().range([height2, 0]).domain([0, 1]);
var xAxis = d3.axisBottom(x),
xAxis2 = d3.axisBottom(x2),
yAxis = d3.axisLeft(y);
var brush = d3.brushX()
.extent([[0, 0], [width, height2]])
.on("brush", brushed);
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var formain = d3.line()
.x(function(d,i) { return x(i); })
.y(function(d) { return y(d); });
var forbrush = d3.line()
.x(function(d,i) { return x2(i); })
.y(function(d) { return y2(d); });
var focus = svg.append("g")
.attr("class", "focus")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("class", "context")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
// Real starts
var color = d3.scaleLinear()
.domain([0, 0.5, 1])
.range(["red", "dodgerblue", "lime"]);
// x.domain(d3.extent(data, function(d) { return d.date; }));
// y.domain([0, d3.max(data, function(d) { return d.price; })+200]);
// x2.domain(x.domain());
// y2.domain(y.domain());
// append scatter plot to main chart area
var dots = focus.append("g");
dots.attr("clip-path", "url(#clip)");
dots.selectAll("dot")
.data(real)
.enter().append("circle")
.attr('class', 'dot')
.attr("r",5)
.style("opacity", .5)
.attr("cx", function(d,i) { return x(i); })
.attr("cy", function(d) { return y(d); })
.attr("fill",(function (d) { return color(d) }));
focus.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
focus.append("g")
.attr("class", "axis axis--y")
.call(yAxis);
focus.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x",0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text(Object.keys({{values|safe}}));
// console.log(Object.keys({{values|safe}}));
svg.append("text")
.attr("transform",
"translate(" + ((width + margin.right + margin.left)/2) + " ," +
(height + margin.top + margin.bottom) + ")")
.style("text-anchor", "middle")
.text("index");
// append scatter plot to brush chart area
var dots = context.append("g");
dots.attr("clip-path", "url(#clip)");
dots.selectAll("dot")
.data(real)
.enter().append("circle")
.attr('class', 'dotContext')
.attr("r",3)
.style("opacity", .5)
.attr("cx", function(d,i) { return x2(i); })
.attr("cy", function(d) { return y2(d); })
.attr("fill",(function (d) { return color(d) }));
context.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
context.append("g")
.attr("class", "brush")
.call(brush)
.call(brush.move, x.range());
focus.append("path")
.data([real])
.attr("class", "line")
.attr("d", formain);
context.append("path")
.data([real])
.attr("class", "line")
.attr("d", forbrush);
//create brush function redraw scatterplot with selection
function brushed() {
var selection = d3.event.selection;
x.domain(selection.map(x2.invert, x2));
focus.selectAll(".dot")
.attr("cx", function(d,i) { return x(i); })
.attr("cy", function(d) { return y(d); });
context.selectAll(".line")
.attr("cx", function(d,i) { return x(i); })
.attr("cy", function(d) { return y(d); });
focus.select(".axis--x").call(xAxis);
context.select(".axis--x").call(xAxis2);
}
</script>
The output I received is something like the following:
What I want is the the magnifier focus should display the respective contents of the line and the dots. Plus I want to have the line in the background and dots on the foreground.
Please help me modify the sample for my use. There is some attribute I guess I am missing.
The sample csv need is : Sample Csv
Try to change the few thing and it will work. see below:
var focus = svg.append("g")
.attr("class", "focus")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("class", "context")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
focus.append("path")
.data([real])
.attr("class", "line")
.attr("d", formain);
context.append("path")
.data([real])
.attr("class", "line")
.attr("d", forbrush);
Place it just as mentioned.
Change the brushed() function like the following:
function brushed() {
var selection = d3.event.selection;
x.domain(selection.map(x2.invert, x2));
focus.selectAll(".dot")
.attr("cx", function(d,i) { return x(i); })
.attr("cy", function(d) { return y(d); });
focus.selectAll(".line")
.attr("d",formain)
}
See the output of mine. It worked.:
Hope this will help you.

How to animate a d3 js v4 bar chart from bottom(x axis) to up?

Currently, this d3 js bar chart animates from top to bottom. Most likely its because of the way d3js renders its chart which starts from the top. This might be a common issue and might be easy for those who are familiar with the nuisance of d3js, how can I make this animate from bottom to top?
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.bar {
fill: steelblue;
}
.bar:hover {
fill: brown;
}
.axis--x path {
display: none;
}
</style>
<svg width="1260" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 40},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom;
var x = d3.scaleBand().rangeRound([0, width]).padding(0.4),
y = d3.scaleLinear().rangeRound([height, 0]);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.csv("MRT_MonthlyAve_2014.csv", function(d) {
d.MonthlyAverage = +d.MonthlyAverage;
return d;
}, function(error, data) {
if (error) throw error;
x.domain(data.map(function(d) { return d.Station; }));
y.domain([0, d3.max(data, function(d) { return d.MonthlyAverage; })]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y).ticks(12, "s"))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("text-anchor", "end")
.text("Frequency");
g.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.Station); })
.attr("y", function(d) { return y(d.MonthlyAverage); })
.transition().duration(1000)
.ease(d3.easeExp)
.attr("width", x.bandwidth())
.attr("height", function(d) { return height - y(d.MonthlyAverage); });
});
</script>
MRT_MonthlyAve_2014.csv
Station,MonthlyAverage
North Avenue,2227081
Quezon Avenue,1018121
GMA,606110
Cubao,1410788
Santolan,260737
Ortigas,561910
Shaw Boulevard,1339020
Boni,631115
Guadalupe,1002740
Buendia,421302
Ayala,1145004
Magallanes,933713
Taft Avenue,2427220
Just set the initial y position to height:
.attr("y", height)
Here is your code with that change only (I'm reducing the height of the SVG, so you can see it working in the small snippet view):
var csv = `Station,MonthlyAverage
North Avenue,2227081
Quezon Avenue,1018121
GMA,606110
Cubao,1410788
Santolan,260737
Ortigas,561910
Shaw Boulevard,1339020
Boni,631115
Guadalupe,1002740
Buendia,421302
Ayala,1145004
Magallanes,933713
Taft Avenue,2427220`;
var svg = d3.select("svg"),
margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom;
var x = d3.scaleBand().rangeRound([0, width]).padding(0.4),
y = d3.scaleLinear().rangeRound([height, 0]);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var data = d3.csvParse(csv, function(d) {
d.MonthlyAverage = +d.MonthlyAverage;
return d;
})
x.domain(data.map(function(d) {
return d.Station;
}));
y.domain([0, d3.max(data, function(d) {
return d.MonthlyAverage;
})]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y).ticks(12, "s"))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("text-anchor", "end")
.text("Frequency");
g.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) {
return x(d.Station);
})
.attr("y", height)
.transition().duration(1000)
.ease(d3.easeExp)
.attr("y", function(d) {
return y(d.MonthlyAverage);
})
.attr("width", x.bandwidth())
.attr("height", function(d) {
return height - y(d.MonthlyAverage);
});
.bar {
fill: steelblue;
}
.bar:hover {
fill: brown;
}
.axis--x path {
display: none;
}
<script src="https://d3js.org/d3.v4.min.js"></script>
<svg width="1260" height="200"></svg>

d3 stacked bar chart: group stacked bars monthwise

I am trying to group bars monthwise using D3 so that grouped bars align below the month names on the x axis properly.
the data i am reading is from a csv file as shown below :
Month,Projected Sales/Purchase,Purchase ,Shipped ,Supplier,
JAN-17,310504,552339,259034,A,
JAN-17,610504,252339,659034,B,
FEB-17,910504,552339,259034,A,
FEB-17,210504,252339,659034,B,
FEB-17,810504,252339,659034,C,
This is what i'm trying to achieve http://imgur.com/qxnq5ZJ
Each stacked bar in a month represents a particular supplier. And the supplier count may vary from month to month.
The following is the code that i've tried:
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 50, left: 40},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x = d3.scaleBand()
.rangeRound([0, width])
.paddingInner(0.05)
.align(0.1);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
d3.csv("data.csv", function(d, i, columns) {
for (i = 1, t = 0; i < (columns.length-1); ++i)
t += d[columns[i]] = +d[columns[i]];
d.total = t;
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1,4);
x.domain(data.map(function(d) { return d.Month; }));
y.domain([0, d3.max(data, function(d) { return d.total; })]);
z.domain(keys);
var stack = d3.stack()
.keys(data.columns.slice(1,4));
var stackedData = stack(data);
g.append("g")
.selectAll("g")
.data(stackedData)
.enter().append("g")
.attr("fill", function(d) { return z(d.key); })
.selectAll("rect")
.data(function(d,i) { console.info(d[i].data.Month);return d; })
.enter().append("g").append("rect")
.attr("x", function(d, i){return i * 75;})
.attr("y", function(d) { return y(d[1]); })
.attr("height", function(d) { return y(d[0]) - y(d[1]); })
.attr("width", 50);
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + 450 + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start");
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
});
</script>
http://imgur.com/eUG56rr is the output for the above code.

Creating A Bar chart in d3.js from an JSON

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".

D3 - ticks wrong positioned

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.

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