D3.js - rotate text to vertical - javascript

The problem:
I'm new to D3.js and I've created a bar chart that gets data from an array. I placed text on top of the bars and the text is wider than the bars themselves. I want to rotate it vertical so that the text goes through the middle of the bar.
I know .attr("transform", "rotate(180)") won't work because it rotates my text off-screen. I found an answer from Mike Bostock here, but it doesn't seem to work for me, I don't know what I'm doing wrong. He says I need to change the rotation point of origin, but I can't get it to work.
Any help is appreciated, you can find the code below:
var label = svg.selectAll("text")
.data(data)
.enter()
.append("text")
.text(function(d){
return d;
})
.attr("x", function(d, i){
xText = i*(w/data.length);
return xText;
})
.attr("y", function(d){
yText = h - yScale(d);
return yText;
})
.attr("transform", "translate(" + xText + "," + yText + ") rotate(90)")
.attr("fill", "black")
.attr("font-family", "sans-serif")
.attr("font-size", "11px");
Thanks!


You are setting both the x and y attributes and translated the text. With the rotate, you only want to use the translate:
.attr("transform", function(d,i){
var xText = i * (w / data.length);
var yText = h - yScale(d.v);
return "translate(" + xText + "," + yText + ") rotate(90)";
})
Also, I find your example code confusing, I was assuming that your data was an array of strings since you do:
.text(function(d) {
return d;
})
but that would make yScale(d), return NaN.
Here's an example that works nicely:
<html>
<head>
<script data-require="d3#3.5.3" data-semver="3.5.3" src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.3/d3.js"></script>
</head>
<body>
<script>
var w = 300,
h = 300,
data = [{
t: "Now",
v: 50
},{
t: "is",
v: 25
},{
t: "the",
v: 10
},{
t: "winter",
v: 30
}];
var svg = d3.select('body')
.append('svg')
.attr('width', w)
.attr('height', h);
var yScale = d3.scale.linear()
.range([0, h])
.domain([60, 0]);
var label = svg.selectAll("text")
.data(data)
.enter()
.append("text")
.text(function(d) {
return d.t;
})
.attr("transform", function(d,i){
var xText = i * (w / data.length);
var yText = h - yScale(d.v);
return "translate(" + xText + "," + yText + ") rotate(90)";
})
.attr("fill", "black")
.attr("font-family", "sans-serif")
.attr("font-size", "11px");
</script>
</body>
</html>


<!DOCTYPE html>
<meta charset="utf-8">
<style>
.bar {
fill: steelblue;
}
.bar:hover {
fill: brown;
}
.axis {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
</style>
<body>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script>
var data = [{
"letter": "A",
"frequency": 0.08167
}, {
"letter": "B",
"frequency": 0.01492
}, {
"letter": "C",
"frequency": 0.02782
}, {
"letter": "D",
"frequency": 0.04253
}, {
"letter": "E",
"frequency": 0.12702
}];
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = 500 - margin.left - margin.right,
height = 200 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var y = d3.scale.linear()
.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("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 + ")");
x.domain(data.map(function(d) {
return d.letter;
}));
y.domain([0, d3.max(data, function(d) {
return d.frequency;
})]);
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", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Frequency");
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) {
return x(d.letter);
})
.attr("width", x.rangeBand())
.attr("y", function(d) {
return y(d.frequency);
})
.attr("height", function(d) {
return height - y(d.frequency);
});
function type(d) {
d.frequency = +d.frequency;
return d;
}
var text = svg.selectAll(".text").data(data);
text.enter()
.append("text")
.attr("class", "text")
.attr("x", function(d, i) {
return x(d.letter);
})
.attr("y", function(d) {
return y(d.frequency);
})
.text(function(d) {
return d.letter;
})
.attr("transform", function(d) {
return "rotate(90 " + x(d.letter) + "," + (y(d.frequency) - d.letter.length) + ")"
});
</script>
You can try out this, and as a base you can modify this as per your need. I hope it helps.

Related

create a dot chart with d3.js showing stacked dots

I'd like to create a dot chart in d3.js, where it looks kind of like a bar chart, but there are stacked dots instead of bars.
This question is similar to what I want: D3.js (Wilkinson type) Dot Plot Example
I've used that code to try and accomplish what I want, but I'm stuck.
Here is an image showing what I want, based on the data for apples in my CSV file:
The code I have so far is below. When I console.log d3.range(d.apples), I see that I have an array for each day, which is what I want. However I can't figure out how to draw a circle for each spot in the array, where the x axis value would be the day # and the y axis value would be the position in the array + 1.
Any help very welcome! Thank you.
Code:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #999;
shape-rendering: crispEdges;
}
.dot {
stroke: none;
}
</style>
<body>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 30, right: 20, bottom: 30, left: 50},
width = 360 - margin.left - margin.right,
height = 300 - 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 + ")");
var chart = svg.append("g")
.attr("id", "chart");
d3.csv("fruit.csv", function(error, data) {
if (error) throw error;
// console.log("data: ", data);
data.forEach(function(d) {
d.day = +d.day;
d.apples = +d.apples;
});
x.domain([0,4]);
y.domain([0,6]);
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("Day");
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("amount")
chart.selectAll("g")
.data(data)
.enter()
.append("g")
.selectAll("circle")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", function(d, i) { return x(d.day); })
//.attr("cy", function(d,i){ return y(d.apples); })
.attr("cy", function(d,i,j){
var range = d3.range(d.apples);
console.log("apple range: ", range);
return y(range[i])
})
.style("fill", "blue")
.style("opacity", .5);
});
</script>
Data (fruit.csv):
"day","apples"
1,3
2,6
3,1
4,2

There are several ways to do what you want. I believe the most traditional approach is nesting the data and appending several groups, one for each fruit. But, for the sake of simplicity, I'd like to propose a different approach: let's change your data, flattening it, so, in each object, we have only one fruit:
originalData.forEach(function(d) {
data.push({
day: d.day,
fruit: "apples",
amount: +d.apples
});
data.push({
day: d.day,
fruit: "pears",
amount: +d.pears
});
data.push({
day: d.day,
fruit: "oranges",
amount: +d.oranges
});
});
Where originalData is the data array the way it is right now.
Doing that, your data will become something like this:
[{
"day": "1",
"fruit": "apples",
"amount": 3
}, {
"day": "1",
"fruit": "pears",
"amount": 6
}, {
"day": "1",
"fruit": "oranges",
"amount": 3
}, {
"day": "2",
"fruit": "apples",
"amount": 6
},//etc...
]
Then, we set a ordinal scale for the days:
var x = d3.scale.ordinal()
.rangePoints([0, width], 0.5);
.domain(data.map(d => d.day));
And, finally, we paint the circles:
var dots = svg.selectAll("circle")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", function(d) {
return x(d.day);
})
.attr("cy", function(d) {
return y(d.amount)
})
.style("fill", function(d) {
return color(d.fruit)
})
.style("opacity", .5);
Here is a demo (I put some titles, so you can hover over the dot to check the fruit and the amount):
var rawData = d3.csv.parse(d3.select("#csv").text());
var data = [];
rawData.forEach(function(d) {
data.push({
day: d.day,
fruit: "apples",
amount: +d.apples
});
data.push({
day: d.day,
fruit: "pears",
amount: +d.pears
});
data.push({
day: d.day,
fruit: "oranges",
amount: +d.oranges
});
});
var margin = {
top: 30,
right: 20,
bottom: 30,
left: 50
},
width = 360 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangePoints([0, width], 0.5);
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.category10()
.domain(["apples", "pears", "oranges"]);
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 + ")");
var chart = svg.append("g")
.attr("id", "chart");
x.domain(data.map(d => d.day));
y.domain([0, 10]);
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("Day");
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("amount");
var dots = svg.selectAll("circle")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", function(d) {
return x(d.day);
})
.attr("cy", function(d) {
return y(d.amount)
})
.style("fill", function(d) {
return color(d.fruit)
})
.style("opacity", .5)
.append("title")
.text(function(d){ return d.fruit + ": " + d.amount});
pre {
display: none;
}
body {
font: 10 px sans - serif;
}
.axis path,
.axis line {
fill: none;
stroke: #999;
shape-rendering: crispEdges;
}
.dot {
stroke: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<pre id="csv">"day","apples","pears","oranges"
1,3,6,3
2,6,8,2
3,1,0,7
4,2,3,8</pre>
EDIT: After further clarifications in the comments, this is what OP wants:
Append the groups as you did, but translating them according to the day:
var groups = svg.selectAll(".groups")
.data(data)
.enter()
.append("g")
.attr("transform", function(d) {
return "translate(" + x(d.day) + ".0)";
});
And, in the dots, set the data using d3.range:
var dots = groups.selectAll("circle")
.data(function(d){ return d3.range(+d.apples + 1)})
That way, for each group, the data for the circles goes all the way up to the maximum. For example, if in a given day "apples" is 3, the data will be:
[0, 1, 2, 3]
Or, if "apples" is 6, the data will be:
[0, 1, 2, 3, 4, 5, 6]
If you don't want the leading zero, just do d3.range(1, +d.apples + 1).
Here is a demo:
var data = d3.csv.parse(d3.select("#csv").text());
var margin = {
top: 30,
right: 20,
bottom: 30,
left: 50
},
width = 360 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangePoints([0, width], 0.5);
var y = d3.scale.linear()
.range([height, 0]);
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 + ")");
var chart = svg.append("g")
.attr("id", "chart");
x.domain(data.map(d => d.day));
y.domain([0, 7]);
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("Day");
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("amount");
var groups = svg.selectAll(".groups")
.data(data)
.enter()
.append("g")
.attr("transform", function(d) {
return "translate(" + x(d.day) + ".0)";
});
var dots = groups.selectAll("circle")
.data(function(d) {
return d3.range(1, +d.apples + 1)
})
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cy", function(d) {
return y(d)
})
.style("fill", "blue")
.style("opacity", .5);
pre {
display: none;
}
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #999;
shape-rendering: crispEdges;
}
.dot {
stroke: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<pre id="csv">"day","apples"
1,3
2,6
3,1
4,2</pre>

refactor d3 bar chart to be horizontal bar chart

I was trying to refactor this bar chart in d3 to be a horizontal bar chart. I think I've isolated the three areas that need to be changed:
the original scale declarations:
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], 0.1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
The domain definitions:
x0.domain(data.map(function(d) { return d.deviceType; }));
x1.domain(deviceClass).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.whenPurchased, function(d) { return d.value; }); })]);
the rect appending and positioning:
device.selectAll("rect")
.data(function(d) { return d.whenPurchased; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.device); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.device); });
I can't seem to get the refactoring right and I think that is because I don't exactly get how domain works for x0 and basically not getting that right has a waterfall effect of everything else not working.
I put the full example here: JSFIDDLE

Here's a quick refactor:
var margin = {top: 20, right: 20, bottom: 30, left: 270},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var y0 = d3.scale.ordinal()
.rangeRoundBands([0, height], 0.1);
var y1 = d3.scale.ordinal();
var x = d3.scale.linear()
.range([0, width]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y0)
.orient("left");
// .tickFormat(d3.format(".2s"));
var svg = d3.select("#deviceown-barchart").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 data = d3.csv.parse( d3.select("pre#data").text() );
var deviceClass = d3.keys(data[0]).filter(function(key) { return key !== "deviceType"; });
data.forEach(function(d) {
d.whenPurchased = deviceClass.map(function(device) { return {device: device, value: +d[device]}; });
});
y0.domain(data.map(function(d) { return d.deviceType; }));
y1.domain(deviceClass).rangeRoundBands([0, y0.rangeBand()]);
x.domain([0, d3.max(data, function(d) { return d3.max(d.whenPurchased, function(d) { return d.value; }); })]);
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", 6)
.attr("dy", ".71em")
.style("text-anchor", "end");
var device = svg.selectAll(".device")
.data(data)
.enter().append("g")
.attr("class", "device")
.attr("transform", function(d) { return "translate(0," + y0(d.deviceType) + ")"; });
device.selectAll("rect")
.data(function(d) { return d.whenPurchased; })
.enter().append("rect")
.attr("height", y1.rangeBand())
.attr("y", function(d) { return y1(d.device); })
.attr("x", 0)
.style("fill", function(d) { return color(d.device); })
.attr("width", 0)
.transition()
.duration(1500)
.attr("width", function(d) { return x(d.value); });
var legend = svg.selectAll(".legend")
.data(deviceClass.slice().reverse())
.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; });
// });
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.y.axis path {
display: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<div id="deviceown-barchart"></div>
<pre id="data">
deviceType,Within the last 6 months,More than 6 months ago
Netatmo Weather Station,0.14,0.09
Nest Learning Thermostat,0.13,0.14
Philips Hue Connected Bulb,0.13,0.08
Nest Cam,0.12,0.12
Belkin WeMo Switch + Motion,0.09,0.08
Nest Protect,0.08,0.12
Canary,0.08,0.03
Other smart home security device,0.08,0.12
August Smart Lock,0.06,0.07
Other connected home appliance,0.05,0.08
GE/Quirky Aros Smart AC,0.04,0.04
Other smart energy monitor,0,0.03
</pre>
Updated fiddle.

One of four bar charts showing up, legend missing D3

UPDATED
Problem
a) Only one of my bar charts is showing after I switched a variable var csvData in my scripts.js to the real data from the dummy data. The previous data referenced states and demographics, which has now been switched to food and their prices.
scripts.js (UPDATED, chart still not showing up)
$(function() {
$("#placeholder").remove();
var margin = {top: 60, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// X is the horizontal axis
var x0 = d3.scale.ordinal() // ordinal for non quantitative scales, like names, categories
.rangeRoundBands([0, width], .1); // Width of each individual bar?
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
// Bar chart colors
var color = d3.scale.ordinal()
.range(["#001F4C", "#003D99", "#005CE6", "#0066FF", "#3385FF", "#80B2FF", "#CCE0FF", "#E6F0FF", "#E6EBFA"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left") // Where the Y axis goes, you'll want it on the left
.ticks(8)
.tickValues([0, 1, 2, 3, 4, 5, 6]);
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 + ")");
// Bar chart data
var csvData = [
{"Store":"Co-op","Broccoli":2.69,"Cauliflower":3.69,"Celery":1.89,"Strawberries":4.49,"Oranges":1.69,"Tomatoes":3.49,"Lemons":0.99, "Lettuce":0.01, "Cucumber":2},
{"Store":"Safeway","Broccoli":2.97,"Cauliflower":3.98,"Celery":1.77,"Strawberries":5.96,"Oranges":0.97,"Tomatoes":2.97,"Lemons":0.77, "Lettuce":4.97, "Cucumber":1.97},
{"Store":"Sobeys","Broccoli":3.49,"Cauliflower":3.99,"Celery":1.29,"Strawberries":3.99,"Oranges":1.99,"Tomatoes":4.99,"Lemons":1.29, "Lettuce":3.49, "Cucumber":1.99},
{"Store":"Superstore","Broccoli":2.69,"Cauliflower":2.49,"Celery":1.09,"Strawberries":2.99,"Oranges":0.99,"Tomatoes":3.99,"Lemons":0.99, "Lettuce":4.99, "Cucumber":2.49},
];
var data = csvData;
var foodNames = d3.keys(data[0]).filter(function(key) { return key !== "Store"; });
data.forEach(function(d) {
d.food = foodNames.map(function(name) { return {name: name, value: +d[name]}; });
});
x0.domain(data.map(function(d) { return d.Store; }));
x1.domain(foodNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.food, function(d) { return d.value; }); })]);
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)") // Rotates the label on the Y axis
.attr("y", 8) // Label spacing from Y axis
.attr("dy", ".71em") // Label spacing from Y axis
.style("text-anchor", "end") // Anchor the label to the end of the Y axis
.text("Price (in dollars)"); // Changes the text on the Y or vertical axis
var store = svg.selectAll(".store") // Selects all of the data in column labelled store
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.store) + ",0)"; });
store.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("class", "stick")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(ageNames.slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 22.5 + ")"; }); // Determines spacing between items in legend
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; });
});
index.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Document</title>
<link rel="stylesheet" href="assets/css/style.css">
</head>
<body>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js"></script>
<script src="assets/js/scripts.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
</body>
</html>
style.css
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
/*.stick {
fill: steelblue;
}
.stick:hover {
fill: brown;
}*/
.x.axis path {
display: none;
}

$(function() {
$("#placeholder").remove();
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// X is the horizontal axis
var x0 = d3.scale.ordinal() // ordinal for non quantitative scales, like names, categories
.rangeRoundBands([0, width], .1); // Width of each individual bar?
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0])
// These are the colors
var color = d3.scale.ordinal()
// .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
.range(["#001F4C", "#003D99", "#005CE6", "#0066FF", "#3385FF", "#80B2FF", "#CCE0FF", "#E6F0FF"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left") // Where the Y axis goes, you'll want it on the left
// .tickFormat(d3.format(".1s"));
.ticks(6);
//.tickValues([0, 1, 2, 3, 4, 5]);
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 + ")");
// Bar chart data
var csvData = [
{"State":"Co-op","Broccoli":2027307,"Cauliflower":3277946,"Celery":1420518,"Strawberries":2454721,"Oranges":7017731,"Tomatoes":5656528,"Lemons":2472223, "Lettuce":2472223, "Cucumber":2472223},
{"State":"Safeway","Broccoli":2704659,"Cauliflower":4499890,"Celery":2159981,"Strawberries":3853788,"Oranges":10604510,"Tomatoes":8819342,"Lemons":4114496, "Lettuce":2472223, "Cucumber":2472223},
{"State":"Sobeys","Broccoli":1140516,"Cauliflower":1938695,"Celery":925060,"Strawberries":1607297,"Oranges":4782119,"Tomatoes":4746856,"Lemons":3187797, "Lettuce":2472223, "Cucumber":2472223},
{"State":"Superstore","Broccoli":1208495,"Cauliflower":2141490,"Celery":1058031,"Strawberries":1999120,"Oranges":5355235,"Tomatoes":5120254,"Lemons":2607672, "Lettuce":2472223, "Cucumber":2472223},
];
// Food Prices
// var csvData = [
// {"Store":"Sobey","Broccoli":2.69,"Cauliflower":3.69,"Celery":$1.89,"Strawberries":$4.49,"Oranges":"1.69,"Tomatoes":$3.49,"Lemons":$0.99,"Lettuce":$0.00,"Cucumber":2.00},
// {"Store":"Superstore","Broccoli":2.97,"Cauliflower":3.98,"Celery":1.77,"Strawberries":5.96,"Oranges":0.97,"Tomatoes":2.97,"Lemons":0.77,"Lettuce":4.97,"Cucumber":1.97},
// {"Store":"Safeway","Broccoli":3.49,"Cauliflower":3.99,"Celery":1.29,"Strawberries":3.99,"Oranges":1.99,"Tomatoes":4.99,"Lemons":1.29,"Lettuce":3.49,"Cucumber":1.99},
// {"Store":"Coop","Broccoli":2.69,"Cauliflower":"2.49","Celery":"1.09","Strawberries":"2.99","Oranges":"0.99","Tomatoes":"3.99","Lemons":"0.99","Lettuce":"4.99","Cucumber":"2.49"}
// ];
// AgeNames = FoodNames
// States = Stores
var data = csvData;
var ageNames = d3.keys(data[0]).filter(function(key) { return key !== "State"; });
data.forEach(function(d) {
d.ages = ageNames.map(function(name) { return {name: name, value: (+d[name])/2000000}; });
});
x0.domain(data.map(function(d) { return d.State; }));
x1.domain(ageNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(d.ages, function(c) {
return c.value;
});
})]);
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)") // Rotates the label on the Y axis
.attr("y", 8) // Label spacing from Y axis
.attr("dy", ".71em") // Label spacing from Y axis
.style("text-anchor", "end") // Anchor the label to the end of the Y axis
.text("Price (in dollars)"); // Changes the text on the Y or vertical axis
var state = svg.selectAll(".state") // Selects all of the data in column labelled State
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.State) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("class", "stick")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(ageNames.slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 22.5 + ")"; });
// Number (20) determines spacing between items in legend
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; });
});
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
/*.stick {
fill: steelblue;
}
.stick:hover {
fill: brown;
}*/
.x.axis path {
display: none;
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
To achieve our requirement I've added one thing,i.e.
(+d[name])/2000000 while assigning the value I'm just dividing it to fit to our scale. y domain is set to very big number like near to one Crore.

D3 bar charts bar values display is improper

I want to display the bar charts each bar peak value at the outer top of each bar. But as far as i could get is to represent each bar value inside the bar. But thats not what i wanted. As you can see in the image attached the bottom of the x axis is messed up. I think we have to move the svg code out of the data loop and use svg.data(someData).enter() to fix this issue but i tried ways to do it but unsuccessful. Kindly suggest how i can modify the follow code.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.axis {
font: 12px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.chart text {
fill: black;
font: 15px sans-serif;
text-anchor: middle;
}
</style>
<svg class="chart"></svg>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 30, right: 80, bottom: 40, left: 100},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var color = d3.scale.category10();
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .2);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
function unit (d) {
count = 0, download = 0;
num = d.value;
while((num) >= 1)
{
num/=10;
++count;
}
switch (count) {
case 4 : download = ((d.value/1000).toFixed(2)) + " MB" ;
break;
case 8 : download = ((d.value/1000 * 1000).toFixed(2)) + " GB" ;
break;
default: download = ((d.value/1000).toFixed(2)) + " MB" ;
}
return download;
}
var chart = d3.select("body").append("svg")
// line = 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 + ")");
var bar;
d3.csv("data.csv", type, function(error, data) {
x.domain(data.map(function(d) { return d.name; }));
y.domain([0, d3.max(data, function(d) { return d.value; })]);
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("x", 790 )
.attr("y", 15 )
.style("text-anchor", "bottom")
.text("Clients");
chart.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
//.attr("transform", "rotate(-90)")
.attr("y", 1)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Kilo Bytes");
bar = chart.selectAll("g")
.data(data)
.enter().append("g")
.attr("transform", function(d) { return "translate(" + x(d.name) + ",0)"; });
bar.append("rect")
.style("fill", function(d) { return color(d.name); })
.attr("y", function(d) { return y(d.value);})
.attr("height", function(d) { return height - y(d.value); })
.attr("width", x.rangeBand());
bar.append("text")
.attr("x", x.rangeBand() / 2 )
.attr("y", function(d) { return y(d.value) + 2 ; })
.attr("dy", "1em")
.attr("text-anchor", "middle")
.attr("font-size", "14px")
.attr("fill", "black")
.text(function(d) { return unit(d); });
});
function type(d) {
d.value = +d.value; // coerce to number
return d;
}
</script>
and the data is in the csv format as below:
name,timesatmp,value
98.226.148.140,1341677167454,1
98.226.148.140,1341677167461,3
98.226.148.141,1341677167916,4
98.226.148.141,1341677167935,6
98.226.148.142,1341677167944,7
98.226.148.142,1341677167945,32
Kindly suggest how i can show the display properly.

First modify your bar charts a little, otherwise no bars will be shown there:
html:
<svg class="chart"></svg>
to
<body class="chart"></body>
js:
bar = chart.selectAll(".bar")
.data(data)
.enter().append("g")
.attr('class', 'bar')
.attr("transform", function(d) { return "translate(" + x(d.name) + ",0)"; });
and for adjusting the peak value, just add a translate as follows:
bar.append("text")
.attr("x", x.rangeBand() / 2 )
.attr("y", function(d) { return y(d.value) + 2 ; })
.attr("dy", "1em")
.attr("text-anchor", "middle")
.attr("font-size", "14px")
.attr("fill", "black")
.attr("transform", function(d) { return "translate(0, -20)"; })
.text(function(d) { return unit(d); });

Rplace:
d3.csv("data.csv", type, function(error, data) {
x.domain(data.map(function(d) { return d.name; }));
y.domain([0, d3.max(data, function(d) { return d.value; })]);
with:
d3.csv("data.csv", type, function(error, data) {
x.domain(data.map(function(d) { return d.name; }));
y.domain([0, d3.max(data, function(d) { return d.value; })]);
var nestedData = d3.nest()
.key(function(d) { return d.name; }).entries(data);
var newData = [];
nestedData.forEach(function(d){
newData.push({name:d.key, value: d3.max(d.values, function(d) {return d.value})});
});

How To draw bubbles on bar charts in d3.js

I am trying to draw bubbles on bar charts. On every bar there will be a bubble.That Bubbles will be generate from a different json file. Can you please provide me any suggestion. Thanks in advance.
Code below.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: #ccc;
}
.x.axis path {
display: none;
}
.node {
fill: #000;
z-index: 999;
}
</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var formatPercent = d3.format(".0%");
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(formatPercent);
var svg1 = 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.tsv("data.tsv", type, function(error, data) {
x.domain(data.map(function(d) { return d.letter; }));
y.domain([0, d3.max(data, function(d) { return d.frequency; })]);
svg1.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg1.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("Frequency");
svg1.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.letter); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.frequency); })
.attr("height", function(d) { return height - y(d.frequency); })
.append("bubble")
.attr("class","bub");
var diameter = 30,
format = d3.format(",d"),
color = d3.scale.category20c();
var bubble = d3.layout.pack()
.sort(null)
.size([diameter, diameter])
.padding(1.5);
var svg = d3.select(".bub").append("svg")
.attr("width", diameter)
.attr("height", diameter)
.attr("class", "bubble");
d3.json("flare.json", function(error, root) {
var node = svg.selectAll(".node")
.data(bubble.nodes(classes(root))
.filter(function(d) { return !d.children; }))
.enter().append("g")
.attr("class", "node")
.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });
node.append("circle")
.attr("r", function(d) { return d.r; })
.style("fill", function(d) { return color(d.packageName); });
node.append("text")
.attr("dy", ".3em")
.style("text-anchor", "middle")
.text(function(d) { return d.className.substring(0, d.r / 3); });
});
// Returns a flattened hierarchy containing all leaf nodes under the root.
function classes(root) {
var classes = [];
function recurse(name, node) {
if (node.children) node.children.forEach(function(child) { recurse(node.name, child); });
else classes.push({packageName: name, className: node.name, value: node.size});
}
recurse(null, root);
return {children: classes};
}
d3.select(self.frameElement).style("height", diameter + "px");});
function type(d) {
d.frequency = +d.frequency;
return d;
}
</script>
//File for bar chart is below
data.tsv
letter frequency
A .08167
B .01492
C .02780
D .04253
//Json for bubble charts
flare.json
{
"name": "flare",
"children": [
{"name": "Swaraj", "size": 20}
]
}
I would like to display the bubble chart on bar graph.

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