Develop Reference

How can I add a <g> element to my chart - javascript

I'm following a long Mike Bostocks' Let's make a Bar Chart tutorial and I'm stuck after I decided, that my bars need some text.
As far as I understood it, rect cannot contain text elements, so I need to create a grouping and wrap both, text and rect in it. The problem is, that my code refuses to render the groupings (and the bars for that matter).
In fact, it does not even execute the section to append a <g> element. If I throw in a console.log or alert into the callback it does never get called.
Full code for reference below. The part in question is:
var bar = chart.selectAll("g")
.data(data)
.enter().append("g")
.attr("transform", function(d) {
return "translate(" + x(d.letter) + "," + y(d.value) + ")";
});
Full code:
var margin = { top: 20, right: 30, bottom: 30, left: 40 }, width = 960, height = 500;
var x = d3.scaleBand()
.rangeRound([0, width]);
var y = d3.scaleLinear()
.range([height, 0]);
var xAxis = d3.axisBottom(x),
yAxis = d3.axisLeft(y)
.ticks(10, "%").tickPadding(11);
var chart = d3.select(".chart")
.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 (err, data) {
x.domain(data.map(function (d) {
return d.letter;
}));
//set domain of scale, it is now known
y.domain([0, d3.max(data, function (d) {
return d.value;
})]);
//append the xAis
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + (height) + ")")
.call(xAxis);
chart.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");
var bar = chart.selectAll("g")
.data(data)
.enter().append("g")
.attr("transform", function(d) {
return "translate(" + x(d.letter) + "," + y(d.value) + ")";
});
bar.append("rect")
.attr("height", function(d) { return height - y(d.value); })
.attr("width", x.bandwidth());
});
function type(d) {
//coerce property to be number ->
//find out what the difference between + and Number() is.
d.value = +d.frequency;
return d;
}
So, where did I go wrong and why?

You have two problems, the first one being a simple selection order and the second one being conceptual.
The first problem is this: when you write
var bar = chart.selectAll("g")
for creating your groups, you're selecting groups that already exist in your SVG, which are the axes and an initial group added to the SVG.
So, select something else, something that doesn't exist:
var bar = chart.selectAll(".foo")
Your second problem is conceptual: although you're correct about being impossible to append a text to a rect, you don't need g elements to achieve what you want. Just create a rect selection and a text selection, and append both to the SVG.
But if you want to add the groups, this is what you have to do.
First, in the data binding, select something that doesn't exist:
var groups = chart.selectAll(".groups")
.data(data)
.enter()
.append("g")
.attr("transform", function(d) {
return "translate(" + x(d.letter) + ",0)";
});
Translate only the x position of the groups, the y position of their elements will be set individually.
Then, create the bars:
var bar = groups.append("rect")
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
});
And finally your texts:
var text = groups.append("text")
.attr("y", function(d) {
return y(d.value) - 6;
})
.attr("x", x.bandwidth() / 2)
.attr("text-anchor", "middle")
.text(function(d) {
return d.value
});
This is a demo using your code and fake data:
var data = d3.csvParse(d3.select("#csv").text());
data.forEach(function(d) {
d.value = +d.value
});
var margin = {
top: 20,
right: 30,
bottom: 30,
left: 40
},
width = 960,
height = 500;
var x = d3.scaleBand()
.rangeRound([0, width])
.padding(0.3);
var y = d3.scaleLinear()
.range([height, 0]);
var xAxis = d3.axisBottom(x),
yAxis = d3.axisLeft(y)
.ticks(10, "%").tickPadding(11);
var chart = d3.select(".chart")
.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;
}));
//set domain of scale, it is now known
y.domain([0, d3.max(data, function(d) {
return d.value;
})]);
var groups = chart.selectAll(".groups")
.data(data)
.enter()
.append("g")
.attr("transform", function(d) {
return "translate(" + x(d.letter) + ",0)";
})
var bar = groups.append("rect").attr("y", function(d) {
return y(d.value);
})
.attr("width", x.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
});
var text = groups.append("text")
.attr("y", function(d) {
return y(d.value) - 6;
})
.attr("x", x.bandwidth() / 2)
.attr("text-anchor", "middle")
.text(function(d) {
return d.value
});
//append the xAis
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + (height) + ")")
.call(xAxis);
chart.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");
pre {
display: none;
}
rect {
fill: teal;
}
<script src="https://d3js.org/d3.v4.min.js"></script>
<svg class="chart"></svg>
<pre id="csv">letter,value
A,.08167
B,.01492
C,.02782
D,.04253
E,.12702
F,.02288
G,.02015</pre>

Related

I'm attempting to make the same multi-line graph in D3 V3 and V4, but they behave differently for reasons I don't understand. What can I change in my V4 code that will make the paths connect in the correct order (according to the x axis instead of the y axis)?
Here's what V3 gives, taken from the jsfiddle I made for it:
...But here's V4:
Jsfiddle doesn't support V4 yet, so here's my code:
var margin = {top: 20, right: 40, bottom: 100, left: 100},
width = 500 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
var x = d3.scaleLinear().range([0, width]);
var y = d3.scaleLinear().range([height, 0]);
var xAxis = d3.axisBottom(x);
var yAxis = d3.axisLeft(y);
var line = d3.line()
.x(function(d) { return x(d.depth); })
.y(function(d) { return y(d.carat); });
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("diamonds.csv", function(error, data) {
data.forEach(function(d) {
d.carat = +d.carat;
d.depth = +d.depth;
//d.cut = +d.cut;
})
data.sort(function(a,b) { return a.x - b.x; });
x.domain(d3.extent(data, function(d) { return d.depth; })).nice();
y.domain(d3.extent(data, function(d) { return d.carat; })).nice();
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.selectAll("text")
.attr("y", 6)
.attr("x", 5)
.attr("dy", ".35em")
.attr("transform", "rotate(45)")
.style("text-anchor", "start")
var dataNest = d3.nest()
.key(function(d) {return d.cut;})
.entries(data);
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("Price");
var color = d3.scaleOrdinal(d3.schemeCategory10);
dataNest.forEach(function(d) {
svg.append("path")
.attr("class", "line")
.style("stroke", function() { // Add the colours dynamically
return d.color = color(d.key); })
.attr("d", line(d.values));
});
});

If you look at your code using D3 v3.x, you did this after loading the data:
data.forEach(function(d) {
d.x = +d.depth;
d.carat = +d.carat;
})
And using that property x for sorting:
data.sort(function(a,b) { return a.x - b.x; });
However, in your v4.x version, you did:
data.forEach(function(d) {
d.depth = +d.depth;
d.carat = +d.carat;
})
And used an nonexistent x for sorting (the problem with sorting alone was making the lines different from v3.x).
Solution: use depth for sorting:
data.sort(function(a,b) { return a.depth - b.depth; });
Here is your code using v4.x version:
var margin = {
top: 20,
right: 40,
bottom: 100,
left: 100
},
width = 500 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
var x = d3.scaleLinear().range([0, width]);
var y = d3.scaleLinear().range([height, 0]);
var xAxis = d3.axisBottom(x);
var yAxis = d3.axisLeft(y);
var line = d3.line()
.x(function(d) {
return x(d.depth);
})
.y(function(d) {
return y(d.carat);
});
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 data = d3.csvParse(d3.select("pre#data").text());
data.forEach(function(d) {
d.carat = +d.carat;
d.depth = +d.depth;
//d.cut = +d.cut;
})
data.sort(function(a, b) {
return a.depth - b.depth;
});
x.domain(d3.extent(data, function(d) {
return d.depth;
})).nice();
y.domain(d3.extent(data, function(d) {
return d.carat;
})).nice();
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.selectAll("text")
.attr("y", 6)
.attr("x", 5)
.attr("dy", ".35em")
.attr("transform", "rotate(45)")
.style("text-anchor", "start")
var dataNest = d3.nest()
.key(function(d) {
return d.cut;
})
.entries(data);
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("Price");
var color = d3.scaleOrdinal(d3.schemeCategory10);
dataNest.forEach(function(d) {
svg.append("path")
.attr("class", "line")
.style("stroke", function() { // Add the colours dynamically
return d.color = color(d.key);
})
.attr("d", line(d.values));
});
pre {
display:none;
}
path
{
fill: none;
stroke: #000;
}
.line {
fill: none;
// stroke: green;
// stroke-width: 3.5px;
}
<script src="https://d3js.org/d3.v4.min.js"></script>
<pre id="data">
carat,cut,color,clarity,depth,table,price,x,y,z
0.41,Ideal,G,VS1,60.8,56,899,4.79,4.82,2.92
0.3,Ideal,F,VS1,62.1,55,612,4.31,4.35,2.69
1.25,Ideal,H,SI1,62.2,57,6661,6.86,6.9,4.28
0.41,Ideal,G,VS2,61.4,55,1061,4.8,4.75,2.93
0.53,Premium,E,VVS2,62.4,56,2331,5.19,5.17,3.23
1.14,Very Good,G,VS2,63.2,56,6435,6.67,6.63,4.2
0.51,Premium,G,SI1,62,59,1053,5.12,5.1,3.17
1.51,Good,H,VVS2,63.1,59,11826,7.26,7.28,4.59
1.31,Ideal,J,SI1,62.5,56,6337,6.95,7.04,4.37
0.33,Very Good,I,VVS1,61.7,61,608,4.43,4.45,2.74
0.42,Ideal,F,VS1,62.3,55,1103,4.79,4.77,2.98
1.01,Good,E,VS2,60.8,63,6250,6.44,6.46,3.92
1,Premium,F,SI1,62.7,59,5292,6.4,6.36,4
0.51,Ideal,G,VVS1,61.9,53,1919,5.14,5.2,3.2
0.34,Ideal,H,SI1,61.5,55,647,4.53,4.55,2.79
0.23,Premium,F,VVS2,61.3,59,445,3.94,3.99,2.43
0.3,Ideal,F,VS2,62.9,57,776,4.29,4.27,2.69
1.14,Premium,F,SI1,60.4,58,6320,6.82,6.79,4.11
0.33,Ideal,J,VVS1,62.1,54,509,4.45,4.47,2.77
0.41,Premium,H,SI1,60.9,60,683,4.79,4.83,2.93
2.01,Premium,J,SI2,62.8,58,12407,8.09,8,5.05
2.01,Very Good,I,SI1,60.3,59,15126,8.14,8.21,4.93
0.4,Very Good,D,VS2,62.8,58,993,4.66,4.71,2.94
1.09,Premium,D,SI1,61.6,58,5799,6.61,6.57,4.06
0.3,Ideal,F,VS1,61.5,55,612,4.31,4.34,2.66
0.77,Very Good,H,SI2,63.6,58,2129,5.77,5.81,3.68
0.38,Very Good,F,VS1,62.7,57,883,4.71,4.64,2.93
0.54,Premium,E,VS1,60.3,58,1939,5.26,5.32,3.19
0.93,Premium,F,SI1,58.8,60,4010,6.49,6.37,3.78
0.32,Ideal,H,VS1,61.1,56,561,4.44,4.46,2.72
0.78,Premium,F,SI2,62.8,56,2200,5.9,5.86,3.69
0.4,Ideal,E,VS1,61.2,55,1005,4.79,4.76,2.92
0.41,Ideal,D,VS2,62.4,55,1076,4.79,4.76,2.98
0.73,Very Good,E,SI1,61.6,59,2760,5.77,5.78,3.56
2.52,Very Good,G,SI2,63.2,58,17689,8.65,8.61,5.45
1.06,Ideal,D,VVS2,62,56,12053,6.53,6.57,4.06
0.8,Very Good,D,IF,63.3,57,6834,5.85,5.87,3.71
1.5,Premium,H,VS2,62.2,58,10291,7.27,7.36,4.55
2.17,Good,H,SI2,58.9,62,16036,8.48,8.52,5.01
1.58,Ideal,G,SI1,62.2,55,11927,7.44,7.5,4.65
2.03,Premium,H,VS2,62.1,56,18139,8.2,8.12,5.07
0.58,Very Good,D,SI2,62.9,56,1438,5.31,5.35,3.35
0.72,Very Good,D,VS2,62.1,59,3016,5.7,5.73,3.55
0.38,Ideal,D,VVS2,61.5,57,1200,4.63,4.67,2.86
0.5,Premium,E,VS2,61.3,60,1624,5.07,5.11,3.12
0.31,Ideal,F,VS2,61.1,56,640,4.35,4.39,2.67
1.41,Premium,D,SI2,61.1,56,6988,7.19,7.15,4.38
0.7,Good,I,VS1,63.2,55,2274,5.58,5.63,3.54
1.22,Ideal,F,SI2,62,57,4852,6.88,6.83,4.25
1.58,Ideal,H,VS2,61.4,56,12334,7.5,7.56,4.62
1.2,Ideal,G,VS1,62,55,9625,6.81,6.87,4.24
1.03,Premium,H,I1,61.1,60,3172,6.46,6.51,3.96
0.77,Very Good,H,VS1,62.8,58,2961,5.75,5.78,3.62
1.04,Ideal,I,VS2,61.5,57,5105,6.49,6.52,4
1,Good,H,SI1,63.7,60,4788,6.33,6.3,4.02
0.82,Very Good,G,IF,61.9,57,4844,5.96,6,3.7
0.71,Ideal,D,VS1,60.9,57,3518,5.74,5.76,3.5
1.21,Ideal,I,SI2,64.6,56,4879,6.67,6.62,4.29
0.4,Very Good,E,SI1,61.7,60,687,4.68,4.72,2.9
1.11,Premium,H,SI1,61.1,60,5433,6.68,6.62,4.06
1.5,Ideal,F,VS2,60.4,57,14071,7.41,7.43,4.48
1.48,Very Good,H,SI1,62.5,59,8815,7.16,7.23,4.5
0.28,Ideal,F,VVS2,61.5,57,787,4.19,4.24,2.59
0.64,Very Good,E,VS2,63.4,54,2114,5.52,5.49,3.49
1.68,Ideal,I,VS2,62.1,57,10800,7.6,7.54,4.7
0.93,Premium,G,SI2,61.7,60,3802,6.25,6.2,3.84
0.34,Very Good,E,SI1,62.9,56,596,4.45,4.48,2.81
1.57,Premium,G,VS1,59.9,56,14180,7.6,7.55,4.54
1.16,Premium,H,SI2,61.8,58,4872,6.81,6.75,4.19
0.3,Ideal,E,VVS2,61.4,57,1013,4.34,4.32,2.66
1.06,Very Good,F,SI1,63.4,58,5520,6.51,6.42,4.1
1.14,Ideal,H,SI1,61.6,56,7079,6.72,6.74,4.14
1,Premium,J,SI1,58.7,58,3920,6.55,6.51,3.83
2.01,Very Good,F,SI2,63.3,59,11925,7.98,7.89,5.02
1.37,Premium,G,VS1,58.3,60,10412,7.35,7.3,4.27
0.91,Premium,E,SI2,61.6,60,3846,6.14,6.1,3.77
1,Premium,G,VS2,63,58,6048,6.4,6.33,4.01
0.4,Good,G,SI1,63.4,58,655,4.66,4.71,2.97
1.39,Very Good,G,SI2,61.5,62,6628,7.09,7.16,4.38
0.31,Ideal,G,IF,62.7,57,924,4.31,4.34,2.71
1.5,Premium,H,VS2,62.4,59,11092,7.29,7.32,4.56
0.99,Very Good,F,SI1,62.5,58,5112,6.36,6.38,3.98
1.5,Very Good,I,VVS2,64,54,9618,7.19,7.27,4.63
1.04,Very Good,E,VVS2,62.4,58,8748,6.46,6.4,4.01
1.01,Premium,H,SI1,61.8,59,5204,6.38,6.33,3.93
0.71,Fair,D,SI1,55.5,62,2086,6,5.97,3.32
0.26,Ideal,G,VS1,62.1,55,478,4.09,4.12,2.55
0.92,Premium,E,SI1,61.7,57,4637,6.32,6.2,3.86
0.32,Ideal,E,VS2,61.8,54,768,4.43,4.4,2.73
0.54,Ideal,H,IF,61.5,54,1981,5.27,5.3,3.25
0.4,Ideal,G,IF,61.2,56,1199,4.74,4.77,2.91
1.28,Very Good,G,VVS2,59.5,56,11478,7.12,7.16,4.25
0.42,Premium,G,VS2,60.6,59,1087,4.85,4.78,2.92
1.04,Premium,H,VS2,60.4,59,5777,6.66,6.51,3.98
0.91,Premium,G,SI1,61.8,60,4045,6.18,6.21,3.83
0.33,Very Good,H,VS2,58.8,62,486,4.49,4.53,2.65
0.31,Ideal,E,VS1,61.3,54,664,4.37,4.4,2.69
0.61,Very Good,D,VS1,62.4,57,2096,5.44,5.46,3.4
0.3,Ideal,H,VVS2,61.6,55,605,4.3,4.34,2.66
1.57,Premium,J,VS1,61.3,59,8595,7.44,7.47,4.57
0.72,Very Good,J,VS1,62.3,57,2136,5.73,5.77,3.58
1.11,Premium,F,SI2,62.2,57,5284,6.67,6.61,4.13
0.4,Premium,D,SI2,61.7,58,855,4.74,4.69,2.91
0.7,Good,F,VVS1,63.3,56,3310,5.64,5.7,3.59
1,Premium,D,SI2,59.4,60,4626,6.56,6.48,3.87
0.61,Ideal,E,VVS2,62,54,3011,5.43,5.47,3.38
1,Premium,F,VS2,62.8,59,6328,6.35,6.32,3.98
1.05,Ideal,F,SI2,60.9,56,4591,6.56,6.64,4.02
1.01,Premium,I,SI1,61.6,58,3944,6.45,6.51,3.99
0.51,Ideal,F,VS2,63.2,57,1687,5.08,5.05,3.2
1.2,Premium,H,SI2,62.4,61,5040,6.81,6.78,4.24
1.52,Ideal,J,VS1,62.3,58,8608,7.32,7.35,4.57
0.51,Premium,F,VVS2,61.9,56,2310,5.17,5.13,3.19
0.5,Very Good,H,IF,61.4,61,1923,5.14,5.03,3.12
1.01,Premium,G,SI1,63,60,4118,6.34,6.3,3.98
0.8,Very Good,F,VS1,62.6,57,3720,5.9,5.98,3.72
2.01,Very Good,I,SI1,62.8,60,14811,7.99,8.04,5.03
1,Premium,E,SI1,61.6,59,5600,6.41,6.38,3.94
1,Good,J,VS1,58.1,64,3920,6.63,6.51,3.82
0.52,Premium,F,VS2,61.4,62,1605,5.19,5.16,3.18
1.3,Very Good,I,VS2,61.8,56,7087,6.98,7.04,4.33
2,Very Good,I,SI1,62.9,59.2,15081,7.95,8.08,5.05
0.31,Very Good,I,VS2,61.6,56,468,4.36,4.39,2.69
1.63,Very Good,I,SI1,62,54,9090,7.6,7.67,4.73
0.3,Premium,H,VVS2,62.1,52,776,4.31,4.29,2.67
1.1,Premium,G,VS2,62.8,58,6387,6.6,6.58,4.14
0.23,Very Good,F,VVS2,61,59,465,3.93,3.97,2.41
1.23,Premium,I,SI2,62.1,59,4773,6.83,6.79,4.23
1.02,Good,G,VS2,63.6,57,5816,6.38,6.41,4.07
0.71,Premium,F,VS1,59.2,58,2839,5.87,5.82,3.46
1.69,Ideal,H,I1,62,56,6757,7.66,7.61,4.73
1.6,Ideal,G,VS2,61.9,56,15000,7.53,7.47,4.64
0.32,Ideal,H,IF,61.9,54.2,783,4.38,4.42,2.72
0.73,Very Good,G,SI2,62.2,58,2057,5.71,5.77,3.57
0.32,Ideal,D,VS2,62.7,54,758,4.36,4.38,2.74
0.7,Ideal,E,VS2,61.1,59,3201,5.67,5.73,3.48
0.3,Ideal,H,VS1,62.1,54,526,4.32,4.35,2.69
0.9,Good,I,VS2,63.8,55,3303,6.07,6.16,3.9
0.52,Premium,H,SI2,60.9,61,975,5.15,5.1,3.12
0.97,Premium,F,SI1,62.7,59,4561,6.28,6.31,3.95
0.32,Very Good,H,SI1,62.6,55,461,4.37,4.38,2.74
0.54,Ideal,F,SI1,61.2,56,1307,5.23,5.29,3.22
1.21,Good,F,VS2,63.7,58,7911,6.67,6.71,4.26
1.51,Very Good,I,SI1,63.1,56,7891,7.28,7.33,4.61
1.01,Premium,F,VS2,58.9,58,6271,6.59,6.51,3.86
1.57,Very Good,J,VS2,62.6,59,7832,7.39,7.43,4.64
0.73,Premium,I,VS1,60.3,58,2371,5.83,5.87,3.53
1.2,Ideal,I,SI1,62.5,57,5107,6.77,6.71,4.21
3.04,Premium,I,SI2,59.3,60,18559,9.51,9.46,5.62
0.31,Very Good,G,VVS1,63.1,56,1046,4.35,4.33,2.74
0.5,Premium,E,I1,60.7,61,840,5.14,5.05,3.09
0.38,Ideal,I,VS1,62.4,54.4,703,4.62,4.66,2.9
1.12,Premium,G,VS2,60.7,53,6774,6.81,6.7,4.1
1.33,Premium,F,SI2,60.7,62,5288,7.12,7.07,4.31
1.11,Ideal,J,VS1,61.7,57,4854,6.67,6.72,4.13
0.71,Ideal,G,SI1,62.4,56,2386,5.74,5.71,3.57
1.03,Ideal,G,VS1,62.1,57,6558,6.44,6.47,4.01
0.32,Very Good,G,VVS1,61.4,55,772,4.41,4.45,2.72
1.55,Premium,D,VS2,61.5,58,16137,7.51,7.48,4.61
0.72,Premium,F,VS2,60.8,58,2530,5.78,5.74,3.5
0.31,Good,F,VS2,63.4,56,625,4.29,4.32,2.73
0.42,Ideal,G,IF,62,57,1310,4.82,4.8,2.98
2.1,Premium,H,SI2,60.4,59,16479,8.28,8.33,5.02
0.66,Ideal,H,VS2,61.4,56,2178,5.62,5.65,3.46
0.48,Premium,F,SI1,60.6,62,1110,5.06,5,3.05
0.91,Very Good,D,SI1,63,59,4429,6.11,6.15,3.86
0.5,Ideal,E,SI2,62.5,57,1154,5.04,5.07,3.16
0.57,Ideal,I,VS1,62.2,55,1448,5.28,5.33,3.3
1.09,Premium,F,SI1,60.9,59,5384,6.64,6.59,4.03
1,Premium,H,SI1,62.3,60,4788,6.38,6.34,3.96
0.4,Very Good,E,VS2,63,58,791,4.7,4.73,2.97
1.2,Ideal,I,SI1,60.1,56,5578,6.9,6.84,4.13
0.71,Premium,I,VS2,59.3,59,2300,5.89,5.81,3.47
0.34,Ideal,D,VS2,62,55,1033,4.48,4.45,2.77
1.25,Good,J,SI1,63.6,57,5110,6.86,6.81,4.35
0.41,Ideal,D,SI1,61.7,54,1015,4.79,4.78,2.95
0.51,Fair,D,SI2,66.5,58,1109,4.95,4.89,3.27
0.56,Ideal,E,SI1,62.7,57,1698,5.27,5.23,3.29
1.04,Ideal,G,VS1,61.5,57,7457,6.5,6.54,4.01
0.3,Ideal,I,SI1,61.9,57,422,4.29,4.31,2.66
0.5,Premium,F,VS2,61.7,60,1323,5.06,5.02,3.11
0.28,Very Good,G,VVS2,62.3,56,522,4.16,4.19,2.6
0.37,Very Good,E,VS1,62,56,925,4.59,4.63,2.86
0.8,Premium,F,SI2,58.5,62,2371,6.08,6.05,3.55
0.81,Very Good,F,SI2,62.7,58,2942,5.92,5.95,3.72
0.51,Ideal,E,VVS2,62.8,56,2211,5.13,5.15,3.23
0.98,Ideal,G,SI1,62.3,56,4665,6.37,6.34,3.96
1.51,Good,H,VS2,63.6,61,8904,7.08,7.03,4.49
0.5,Premium,D,SI1,60.3,58,1433,5.12,5.1,3.08
0.43,Ideal,F,VVS2,62.2,55,1250,4.85,4.83,3.01
0.7,Ideal,F,SI1,61.1,57,2516,5.75,5.71,3.5
0.3,Premium,E,SI1,61.8,60,675,4.28,4.23,2.63
0.7,Very Good,F,VS2,62.9,56,2400,5.66,5.73,3.58
0.92,Very Good,D,VS1,61.9,58,7544,6.19,6.24,3.85
2.57,Premium,J,SI1,63,58,18485,8.77,8.65,5.49
2.25,Ideal,I,SI2,60.7,56,11104,8.54,8.5,5.17
0.51,Ideal,G,VVS2,61.5,57,1875,5.13,5.18,3.17
1.05,Ideal,H,SI2,61.9,56,4504,6.49,6.56,4.04
0.3,Ideal,E,VS1,62.5,56,694,4.27,4.31,2.68
1.01,Premium,J,VS2,62.4,60,3296,6.45,6.35,3.99
</pre>

I am trying to create a grouped bar chart using D3.js. I have followed the examples provided in the D3 wiki at GitHub and have a semi working graph. However, it seems like all datapoints for a certain value get plotted at the same spot.
my data looks is a JSON array, which looks like this
[{"experiment":30385,"c":1,"ratio":0.022,"stdev":0.363,"median":0.032,"zscore":6.359},
{"experiment":30385,"c":2,"ratio":-0.02,"stdev":0.351,"median":-0.005,"zscore":-4.786},
{"experiment":30385,"c":3,"ratio":0.074,"stdev":0.339,"median":0.089,"zscore":29.036},
{"experiment":30385,"c":4,"ratio":-0.077,"stdev":0.361,"median":-0.065,"zscore":-25.704},
{"experiment":30385,"c":5,"ratio":-0.354,"stdev":0.569,"median":-0.223,"zscore":-145.625},
{"experiment":30385,"c":6,"ratio":-0.02,"stdev":0.352,"median":-0.007,"zscore":-2.545},
{"experiment":30385,"c":7,"ratio":0.018,"stdev":0.346,"median":0.036,"zscore":7.412},
{"experiment":30385,"c":8,"ratio":-0.11,"stdev":0.348,"median":-0.096,"zscore":-37.69},
{"experiment":30385,"c":9,"ratio":-0.012,"stdev":0.357,"median":0.008,"zscore":-4.394},
{"experiment":30385,"c":10,"ratio":-0.054,"stdev":0.366,"median":-0.036,"zscore":-14.158},
{"experiment":30385,"c":11,"ratio":-0.071,"stdev":0.344,"median":-0.044,"zscore":-21.4},
{"experiment":30385,"c":12,"ratio":-0.01,"stdev":0.352,"median":0.002,"zscore":-1.467},
{"experiment":30385,"c":13,"ratio":-0.03,"stdev":0.366,"median":-0.014,"zscore":-2.375},
{"experiment":30385,"c":14,"ratio":-0.039,"stdev":0.339,"median":-0.025,"zscore":-8.816},
{"experiment":30385,"c":15,"ratio":-0.02,"stdev":0.357,"median":0.0065,"zscore":-4.2},
{"experiment":30385,"c":16,"ratio":0.449,"stdev":0.439,"median":0.4215,"zscore":69.859},
{"experiment":30385,"c":17,"ratio":-0.028,"stdev":0.367,"median":-0.007,"zscore":-4.9},
{"experiment":30385,"c":18,"ratio":-0.071,"stdev":0.357,"median":-0.061,"zscore":-17.268},
{"experiment":30385,"c":19,"ratio":0.143,"stdev":0.356,"median":0.1415,"zscore":13.961},
{"experiment":30385,"c":20,"ratio":0.022,"stdev":0.349,"median":0.0405,"zscore":3.462},
{"experiment":30385,"c":21,"ratio":-0.076,"stdev":0.335,"median":-0.086,"zscore":-11.368},
{"experiment":30385,"c":22,"ratio":0.038,"stdev":0.355,"median":0.07,"zscore":3.152},
{"experiment":30385,"c":23,"ratio":0,"stdev":0,"median":0,"zscore":3.152},
{"experiment":30385,"c":24,"ratio":0,"stdev":0,"median":0,"zscore":3.152},
{"experiment":30384,"c":1,"ratio":-0.058,"stdev":0.403,"median":-0.042,"zscore":-14.154},
{"experiment":30384,"c":2,"ratio":-1.017,"stdev":0.418,"median":-0.982,"zscore":-360.857},
{"experiment":30384,"c":3,"ratio":-0.094,"stdev":0.417,"median":-0.074,"zscore":-30.964},
{"experiment":30384,"c":4,"ratio":-0.155,"stdev":0.397,"median":-0.157,"zscore":-54.593},
{"experiment":30384,"c":5,"ratio":-0.024,"stdev":0.381,"median":-0.001,"zscore":-8.125},
{"experiment":30384,"c":6,"ratio":0.013,"stdev":0.37,"median":0.0245,"zscore":7.455},
{"experiment":30384,"c":7,"ratio":-0.2,"stdev":0.434,"median":-0.171,"zscore":-56.706},
{"experiment":30384,"c":8,"ratio":-0.017,"stdev":0.367,"median":0.003,"zscore":-5.621},
{"experiment":30384,"c":9,"ratio":0.025,"stdev":0.365,"median":0.044,"zscore":6.818},
{"experiment":30384,"c":10,"ratio":-0.168,"stdev":0.422,"median":-0.121,"zscore":-44.158},
{"experiment":30384,"c":11,"ratio":-0.073,"stdev":0.382,"median":-0.056,"zscore":-22.067},
{"experiment":30384,"c":12,"ratio":0.002,"stdev":0.379,"median":0.019,"zscore":2.533},
{"experiment":30384,"c":13,"ratio":-0.054,"stdev":0.39,"median":-0.0295,"zscore":-8.375},
{"experiment":30384,"c":14,"ratio":0.019,"stdev":0.376,"median":0.025,"zscore":6.447},
{"experiment":30384,"c":15,"ratio":-0.054,"stdev":0.421,"median":-0.0265,"zscore":-11},
{"experiment":30384,"c":16,"ratio":0.055,"stdev":0.375,"median":0.0695,"zscore":8.297},
{"experiment":30384,"c":17,"ratio":0.024,"stdev":0.394,"median":0.054,"zscore":3.767},
{"experiment":30384,"c":18,"ratio":-0.049,"stdev":0.36,"median":-0.018,"zscore":-11.902},
{"experiment":30384,"c":19,"ratio":0.095,"stdev":0.37,"median":0.1135,"zscore":10.24},
{"experiment":30384,"c":20,"ratio":0.157,"stdev":0.343,"median":0.174,"zscore":29.423},
{"experiment":30384,"c":21,"ratio":-0.091,"stdev":0.407,"median":-0.067,"zscore":-14},
{"experiment":30384,"c":22,"ratio":0.071,"stdev":0.381,"median":0.104,"zscore":7.329},
{"experiment":30384,"c":23,"ratio":0,"stdev":0,"median":0,"zscore":7.329},
{"experiment":30384,"c":24,"ratio":0,"stdev":0,"median":0,"zscore":7.329}]
The data contains an experiment id, chromosome number, ratio and some satistics. The array can contain data from various experiments, which all have a different id.
my js code currently looks like this:
<script>
function unique(list) {
var result = [];
$.each(list, function(i, e) {
if ($.inArray(e, result) == -1) result.push(e);
});
return result;
}
var margin = {top: 50, right: 50, bottom: 50, left: 50};
var width = 1000 - margin.left - margin.right;
var height = 500 - margin.top - margin.bottom;
var threshold={upper:0.1,lower:-0.1};
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var svg = d3.select("#svg").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.json("{{settings.Base_url}}/templates/addons/data.json", function(error, data) {
if (error) throw error;
var expNames =unique(data.map(function(d) { return d.experiment; }));
x0.domain(data.map(function(d) { return d.c; }));
x1.domain(expNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([-1.5,1.5]);
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", -50)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Average Ratio/Chromosome");
var chr = svg.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d) { return "translate(" + x0(d.c) + ",0)"; });
chr.selectAll("rect")
.data(data)
.enter().append("rect")
.attr("x", function(d) {return x1(d.experiment);})
.attr("y", function(d) { return y(Math.max(0, d.ratio)); })
.attr("height", function(d) { return Math.abs(y(d.ratio)-y(0)); })
.attr("width", x1.rangeBand())
.style("fill", function(d) { return color(d.experiment); })
.style({"opacity":0.6,"stroke-width":"2"})
.text("test");
var legend = svg.selectAll(".legend")
.data(expNames.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; });
});
</script>
which results in a graph like this:
any ideas? I have a general idea where the error is, but cant seem to find a solution.

Note sure if I understand the question properly, but here's what I get:
You bind the data to the groups which you transform in x direction.
Afterwards you want to display two bars (for each experiment) in each group (c value)
If that's the case, you don't need to bind the data again for the bars, so it's just:
var chr = svg.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function (d) {
return "translate(" + x0(d.c) + ",0)";
});
chr.append("rect")
.attr("x", function (d) {
return x1(d.experiment);
})
...etc
See fiddle
Does that help?

I am using this multiline graph but so far have failed to generate data value labels on every tick (for every day).
<script>
var margin = {top: 30, right: 40, bottom: 30, left: 50},
width = 600 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
var parseDate = d3.time.format("%d-%m-%y").parse;
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(7);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(7);
var valueline = d3.svg.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.sev3); });
var valueline2 = d3.svg.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.sev4); });
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 + ")");
// Get the data
d3.csv("data.tsv", function(error, data) {
data.forEach(function(d) {
d.date = parseDate(d.date);
d.sev3 = +d.sev3;
d.sev4 = +d.sev4;
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return Math.max(d.sev3, d.sev4); })]);
svg.append("path") // Add the valueline path.
.attr("class", "line")
.attr("d", valueline(data));
svg.append("path") // Add the valueline2 path.
.attr("class", "line")
.style("stroke", "red")
.attr("d", valueline2(data));
svg.append("g") // Add the X Axis
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g") // Add the Y Axis
.attr("class", "y axis")
.call(yAxis);
svg.append("text")
.attr("transform", "translate(" + (width+3) + "," + y(data[0].sev4) + ")")
.attr("dy", ".35em")
.attr("text-anchor", "start")
.style("fill", "red")
.text("Sev4");
svg.append("text")
.attr("transform", "translate(" + (width+3) + "," + y(data[0].sev3) + ")")
.attr("dy", ".35em")
.attr("text-anchor", "start")
.style("fill", "steelblue")
.text("Sev3");
});
</script>
Data.tsv
date,sev3,sev4
20-02-15,0,0
19-02-15,0,0
18-02-15,0,0
17-02-15,481,200
16-02-15,691,200
15-02-15,296,200
14-02-15,307,200
The code above gives this:
And THIS is what i am trying to accomplish
I understand that i must use .append("text") and position the text at about the same x,y coords as the data point and pull the value from the data to feed into the "text" but i am having difficulties in integrating that concept.
I suspect that the selection would occur with valueline.append ? I have looked at a HEAP of examples, i dont thing a linegraph with data value labels exists, if it does please point me to it :)
Any thoughts ?

Your text will not be visible, as it is located outside the boundaries of your svg: you added a group that is translated of margin.left, and the put your x at width+3, which means located at width+3+margin.left of the left border of your svg.
Try replacing your append text with something like:
svg.append("text")
.attr("transform", "translate(" + (width/2) + "," + y(data[0].sev4) + ")")
.attr("dy", ".35em")
.attr("text-anchor", "start")
.style("fill", "red")
.text("Sev4");
svg.append("text")
.attr("transform", "translate(" + (width/2) + "," + y(data[0].sev3) + ")")
.attr("dy", ".35em")
.attr("text-anchor", "start")
.style("fill", "steelblue")
.text("Sev3");
I did not test it, so I cannot guarantee, but your code seems fine, that's the only thing I see.
Result of this add:
EDIT
After your clarifications, here is a plunk: http://plnkr.co/edit/lDlseqUQQXgoFwTK5Aop?p=preview
The part you will be interested in is:
svg.append('g')
.classed('labels-group', true)
.selectAll('text')
.data(data)
.enter()
.append('text')
.classed('label', true)
.attr({
'x': function(d, i) {
return x(d.date);
},
'y': function(d, i) {
return y(d.sev3);
}
})
.text(function(d, i) {
return d.sev3;
});
This will draw your labels. Is it the result you try to achieve?

Fiddle Example
I have been following these two examples (1)(2) to create small multiple grouped bar charts on the same page. Here's a JSON data example:
var data = [
{"name":"AA","sales_price":20,"retail_price":25},
{"name":"BB","sales_price":30,"retail_price":45},
{"name":"CC","sales_price":10,"retail_price":55},
{"name":"DD","sales_price":10,"retail_price":25},
{"name":"EE","sales_price":13,"retail_price":20},
{"name":"GG","sales_price":13,"retail_price":15},
];
I've managed to get the bar values to show up correctly in each chart, but the X domain and Y domain values aren't right. I couldn't figure out how to bind each data row's sales_price and retail_price to the axises instead of the entire JSON data. I guess there's a problem with this block of code:
data.forEach(function(d) {
d.compare = field_name.map(function(name) {
return {name: name, value: +d[name]};
});
});
x0.domain(data.map(function(d) { console.log(d); return d.name; }));
x1.domain(field_name).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(d.compare, function(d) {
return d.value; });
})]);
How can I make the domains return each row's values for each grouped bar charts?
Full Code:
function multi_bars(el){
var margin = {top: 45, right:20, bottom: 20, left: 50},
width = 350 - margin.left - margin.right,
height = 250 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var field_name = ['retail_price','sales_price'];
data.forEach(function(d) {
d.compare = field_name.map(function(name) {
return {name: name, value: +d[name]};
});
});
x0.domain(data.map(function(d) { console.log(d); return d.name; }));
x1.domain(field_name).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(d.compare, function(d) {
return d.value; });
})]);
var svg = d3.select(el).selectAll("svg")
.data(data)
.enter().append("svg: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);
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("Price");
// Accessing nested data: https://groups.google.com/forum/#!topic/d3-js/kummm9mS4EA
// data(function(d) {return d.values;})
// this will dereference the values for nested data for each group
svg.selectAll(".bar")
.data(function(d) {return d.compare;})
.enter()
.append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x1(d.name); })
.attr("width", x1.rangeBand())
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.attr("fill", color)
var legend = svg.selectAll(".legend")
.data(field_name.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; });
function type(d) {
d.percent = +d.percent;
return d;
}
}
multi_bars(".container");

Your setting up of x0, x1 and y is fine.
Later when you manipulate the DOM is where your references to the data don't work.
I have done two things: First I change your first block, so you create just one svg instead of
var svg = d3.select(el).selectAll("svg")
.data(data)
.enter().append("svg:svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
Later I just followed the example of http://bl.ocks.org/mbostock/3887051 and made the changes accordingly.
The result is here:
http://jsfiddle.net/ee2todev/g61f93gx/
If you want to have separate charts for each group as in your original fiddle you just have to translate each bar with the x0 scale. Just two adjustments have to be made:
a) you have to add the group name to the d.compare so it is accessible from the corresponding data in the bar selection
data.forEach(function(d) {
d.compare = field_name.map(function(name) {
return {group: d.name, name: name, value: +d[name]};
});
});
b) In the bar selection you have to translate each group accordingly:
svg.selectAll(".bar")
.data(function(d) {return d.compare;})
.enter()
.append("rect")
.attr("class", "bar")
.attr("transform", function(d) { return "translate(" + x0(d.group) + ",0)"; })
.attr("x", function(d) { console.log("x: "+d.value); return x1(d.name); })
.attr("width", x1.rangeBand())
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.attr("fill", color);
The complete fiddle is here: http://jsfiddle.net/ee2todev/en8sr5m4/
Two more notes:
1) I just slightly changed your code. I highly recommend using meaningful and intuitive variable/object names. This is to me the most effective way to minimize errors. This might have been the reason you got confused. So I would rename the d.compare properties, e.g. {groupName: d.name, priceType: name, value: +d[name]}. As of now, you switched the meaning of name since name suddenly refers to the price type not the grouping name as in the original data!
2) This is a nice example of selection of selections. See also http://bost.ocks.org/mike/nest/
The first selectAll selection (the svg variable) contains an Array[6] with the objects. The second selection:
svg.selectAll(".bar").data(function(d) {return d.compare;})
iterates for each element of the svg data over an Array[2] containing an object with the price type and the value. There I added the group name.

I've been searching around for a while now for a possible solution to this problem. I've created a bar chart for a company dashboard based on this graph.
http://bl.ocks.org/mbostock/3887051
This is working great, however what I would like to do now is display some of the external data that I have in text underneath the graph so for example. "Total Sales Today = ......" instead of just a monthly graph.
So I guess I'm asking is there a way to do this in d3.js using a text element or anything similar? if not pointing me to something that can would be great. Ill also add that the data is coming from a csv.
This is the code:
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(".2s"));
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) {
var Names = d3.keys(data[0]).filter(function(key) { return key !== "Month"; });
data.forEach(function(d) {
d.Total = Names.map(function(name) { return {name: name, value: +d[name]}; });
});
x0.domain(data.map(function(d) { return d.Month; }));
x1.domain(Names).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.Total, 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")
.text("Sales Value £");
var text = svg.selectAll("text")
.data(data)
.enter()
.append("text");
var Month = svg.selectAll(".Month")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.Month) + ",0)"; });
Month.selectAll("rect")
.data(function(d) { return d.Total; })
.enter().append("rect")
.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(Names.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; });
});
If you need any more info just say
Cheers!

In your HTML file, create a div for your chart and a div below that for your label
<div id="chart"></div>
<div id="label"></div>
In your d3 code, instead of appending an svg element to the body, select the "chart" div and append an svg element to it.
var svg = d3.select("#chart").append("svg"). ...
Use that svg element to draw your chart like in your above code.
At some point in your code calculate the total sales for the day and create a variable called totalSales. You could do this by summing up the sales value when you draw the chart, but it doesn't really matter as long as totalSales is calculated.
Create another svg element on the "label" div
var svgLabel = d3.select("#label").append("svg") ...
Use this svgLabel to write a text element with totalSales as the text attribute.
svg.append("text")
...
.text(totalSales);