I have a bar chart see plunker the problem is that I would like to move the y-axis ticks to be at the middle left side of the rects but they appear on the top and end. and I cannot seem to move them without destroying the chart.
my code
var info = [{
name: "Walnuts",
value: 546546
}, {
name: "Almonds",
value: 456455
}
];
/* Set chart dimensions */
var width = 960,
height = 500,
margin = {
top: 10,
right: 10,
bottom: 20,
left: 60
};
//subtract margins
width = width - margin.left - margin.right;
height = height - margin.top - margin.bottom;
//sort data from highest to lowest
info = info.sort(function(a, b) {
return b.value - a.value;
});
//Sets the y scale from 0 to the maximum data element
var max_n = 0;
var category = []
for (var d in info) {
max_n = Math.max(info[d].value, max_n);
category.push(info[d].name)
}
var dx = width / max_n;
var dy = height / info.length;
var y = d3.scale.ordinal()
.domain(category)
.range([0, height]);
var yAxis = d3.svg.axis()
.scale(y)
.orient('left')
var svg = d3.select("#chart")
.append("svg")
.attr("width", "100%")
.attr("height", "100%")
.attr('preserveAspectRatio', 'xMidYMin')
.attr("viewBox", '0 0 ' + parseInt(width + margin.left + margin.right) + ' ' + parseInt(height + margin.top + margin.bottom))
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
svg.selectAll(".bar")
.data(info)
.enter()
.append("rect")
.attr("class", function(d, i) {
return "bar" + d.name;
})
.attr("x", function(d, i) {
return 0;
})
.attr("y", function(d, i) {
return dy * i;
})
.attr("width", function(d, i) {
return dx * d.value
})
.attr("height", dy)
.attr("fill", function(d, i) {
if (d.name == 'Walnuts') {
return 'red'
} else {
return 'green'
}
});
var y_xis = svg.append('g')
.attr('id', 'yaxis')
.call(yAxis);
You are using range in y axis like this:
var y = d3.scale.ordinal()
.domain(category)
.range([0, height]);
You should be using 'rangeRoundBands' since the y scale is ordinal
var y = d3.scale.ordinal()
.domain(category)
.rangeRoundBands([0, height], .1);
working code here
For d3 versions like v4/v5.
Defining height as the graph/plot height, and max as the maximum value of y.
import { parseSvg } from 'd3-interpolate/src/transform/parse'
const yScale = d3
.scaleLinear()
.domain([0, max])
.rangeRound([height, 0])
const yAxis = d3.axisLeft(yScale)
svg
.append('g')
.call(yAxis)
.selectAll('.tick')
.each(function(data) {
const tick = d3.select(this)
const { translateX, translateY } = parseSvg(tick.attr('transform'))
tick.attr(
'transform',
translate(translateX, translateY + height / (2 * max))
)
})
Recently I needed something very very similar and I solved this with a call with selecting all text elements in the selection and moving their dy upwards. I will give an example with OP's code:
var y_xis = svg.append('g')
.attr('id','yaxis')
.call(yAxis)
.call(selection => selection
.selectAll('text')
.attr('dy', '-110') // this moves the text labels upwards
.attr('x', '110')); // this does the same job but horizontally
Related
Adapting a histogram with D3 (v3) I find two problems to solve (original code here):
<script type="text/javascript">
var faithfulData = [20,21,26,18,24,24,25,25,21,20,20,18,28,23,17,26,27,27,20,28,23,26,];
var datos_unicos = Array.from(new Set(faithfulData))
var margin = {top: 4, right: 10, bottom: 40, left: 40},
width = 360 - margin.left - margin.right,
height = 180 - margin.top - margin.bottom;
var cant_ticks = datos_unicos.length;
var edad_min = Math.min.apply(Math, datos_unicos) - 3;
var edad_max = Math.max.apply(Math, datos_unicos) + 3;
var vartickValues = []
var tope = (edad_max)+1;
for (var i =edad_min; i< tope; i++) {
vartickValues.push(i);
}
var x = d3.scale.linear()
.domain([edad_min, edad_max])
.range([0, width]);
var y = d3.scale.linear()
.domain([0, .1])
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.tickValues(vartickValues)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format("%"));
var line = d3.svg.line()
.x(function(d) { return x(d[0]); })
.y(function(d) { return y(d[1]); });
var histogram = d3.layout.histogram()
.frequency(false)
.bins(cant_ticks);
var svg = d3.select("#plantel_distribucion").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 plantel_axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", 34)
.style("text-anchor", "end")
.text("Edad de las jugadoras");
svg.append("g")
.attr("class", "y plantel_axis")
.call(yAxis);
var data = histogram(faithfulData),
kde = kernelDensityEstimator(epanechnikovKernel(7), x.ticks(100));
svg.selectAll(".plantel_bar")
.data(data)
.enter().insert("rect", ".axis")
.attr("class", "plantel_bar")
.attr("x", function(d) { return x(d.x) + 1; })
.attr("y", function(d) { return y(d.y); })
.attr("width", x(data[0].dx + data[0].x) - x(data[0].x) - 1)
.attr("height", function(d) { return height - y(d.y); });
svg.append("path")
.datum(kde(faithfulData))
.attr("class", "plantel_line")
.attr("d", line);
//});
function kernelDensityEstimator(kernel, x) {
return function(sample) {
return x.map(function(x) {
return [x, d3.mean(sample, function(v) { return kernel(x - v); })];
});
};
}
function epanechnikovKernel(scale) {
return function(u) {
return Math.abs(u /= scale) <= 1 ? .75 * (1 - u * u) / scale : 0;
};
}
</script>
1) How to place the labels on the x axis in the center of the bin? In other words, the tick mark and its label on the center of the bar.
2) How do I place the quantity (frequency) of each bin above its bar?
I appreciate your comments and leave an image with the current development:
Thanks
For question1, if you just want to add some ticks at the center of each bin, there are x and dx attributes in histogram that indicate the position and step of each bin. You can compute the x tick by xtick = x + dx / 2.
For question2, I think you can draw a line chart above the histogram, and set the z-index to be 2.
I hope the above helps. :)
I'm really having trouble with D3 and need some help changing my existing barchart to be a grouped barchart The barchart is being used within a tooltip and currently looks like:
Each colour represents a sector of industry (pink = retail, teal = groceries...etc).
I need to change the bar chart so that it compares the percentage change in each industry with the world average percentage change in this industry.
At the moment the bar chart is being created from an array of data. I also have an array with the world percentage values.
So imagine:
countryData = [10,-20,-30,-63,-23,20],
worldData = [23,-40,-23,-42,-23,40]
Where index 0 = retail sector, index 1 = grocery sector, etc.
I need to plot a grouped barchart comparing each sector to the world average (show the world average in red). This is a bit tricky to explain so I drew it for you (...excuse the shoddy drawing).
Please can someone help me change my existing tooltip?
Here's the current code. If you want to simulate the data values changing.
If you want to scrap my existing code that's fine.
.on('mouseover', ({ properties }) => {
// get county data
const mobilityData = covid.data[properties[key]] || {};
const {
retailAverage,
groceryAverage,
parksAverage,
transitAverage,
workplaceAverage,
residentialAverage,
} = getAverage(covid1);
let avgArray = [retailAverage, groceryAverage, parksAverage, transitAverage, workplaceAverage, retailAverage];
let categoriesNames = ["Retail", "Grocery", "Parks", "Transit", "Workplaces", "Residential"];
// create tooltip
div = d3.select('body')
.append('div')
.attr('class', 'tooltip')
.style('opacity', 0);
div.html(properties[key]);
div.transition()
.duration(200)
.style('opacity', 0.9);
// calculate bar graph data for tooltip
const barData = [];
Object.keys(mobilityData).forEach((industry) => {
const stringMinusPercentage = mobilityData[industry].slice(0, -1);
barData.push(+stringMinusPercentage); // changing it to an integer value, from string
});
//combine the two lists for the combined bar graph
var combinedList = [];
for(var i = 0; i < barData.length; i++) {
const stringMinusPercentage2 = +(avgArray[i].slice(0, -1));
const object = {category: categoriesNames[i], country: barData[i], world: stringMinusPercentage2}
combinedList.push(object); //Push object into list
}
console.log(combinedList);
// barData = barData.sort(function (a, b) { return a - b; });
// sort into ascending ^ keeping this in case we need it later
const height2 = 220;
const width2 = 250;
const margin = {
left: 50, right: 10, top: 20, bottom: 15,
};
// create bar chart svg
const svgA = div.append('svg')
.attr('height', height2)
.attr('width', width2)
.style('border', '1px solid')
.append('g')
// apply the margins:
.attr('transform', `translate(${[`${margin.left},${margin.top}`]})`);
const barWidth = 30; // Width of the bars
// plot area is height - vertical margins.
const chartHeight = height2 - margin.top - margin.left;
// set the scale:
const yScale = d3.scaleLinear()
.domain([-100, 100])
.range([chartHeight, 0]);
// draw some rectangles:
svgA
.selectAll('rect')
.data(barData)
.enter()
.append('rect')
.attr('x', (d, i) => i * barWidth)
.attr('y', (d) => {
if (d < 0) {
return yScale(0); // if the value is under zero, the top of the bar is at yScale(0);
}
return yScale(d); // otherwise the rectangle top is above yScale(0) at yScale(d);
})
.attr('height', (d) => Math.abs(yScale(0) - yScale(d))) // the height of the rectangle is the difference between the scale value and yScale(0);
.attr('width', barWidth)
.style('fill', (d, i) => colours[i % 6]) // colour the bars depending on index
.style('stroke', 'black')
.style('stroke-width', '1px');
// Labelling the Y axis
const yAxis = d3.axisLeft(yScale);
svgA.append('text')
.attr('class', 'y label')
.attr('text-anchor', 'end')
.attr('x', -15)
.attr('y', -25)
.attr('dy', '-.75em')
.attr('transform', 'rotate(-90)')
.text('Percentage Change (%)');
svgA.append('g')
.call(yAxis);
})
.on('mouseout', () => {
div.style('opacity', 0);
div.remove();
})
.on('mousemove', () => div
.style('top', `${d3.event.pageY - 140}px`)
.style('left', `${d3.event.pageX + 15}px`));
svg.append('g')
.attr('transform', 'translate(25,25)')
.call(colorLegend, {
colorScale,
circleRadius: 10,
spacing: 30,
textOffset: 20,
});
};
drawMap(svg1, geoJson1, geoPath1, covid1, key1, 'impact1');
drawMap(svg2, geoJson2, geoPath2, covid2, key2, 'impact2');
};
In short I would suggest you to use two Band Scales for x axis. I've attached a code snippet showing the solution.
Enjoy ;)
//Assuming the following data final format
var finalData = [
{
"groupKey": "Retail",
"sectorValue": 70,
"worldValue": 60
},
{
"groupKey": "Grocery",
"sectorValue": 90,
"worldValue": 90
},
{
"groupKey": "other",
"sectorValue": -20,
"worldValue": 30
}
];
var colorRange = d3.scaleOrdinal().range(["#00BCD4", "#FFC400", "#ECEFF1"]);
var subGroupKeys = ["sectorValue", "worldValue"];
var svg = d3.select("svg");
var margin = {top: 20, right: 20, bottom: 30, left: 40};
var width = +svg.attr("width") - margin.left - margin.right;
var height = +svg.attr("height") - margin.top - margin.bottom;
var container = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// The scale spacing the groups, your "sectors":
var x0 = d3.scaleBand()
.domain(finalData.map(d => d.groupKey))
.rangeRound([0, width])
.paddingInner(0.1);
// The scale for spacing each group's bar, your "sector bar":
var x1 = d3.scaleBand()
.domain(subGroupKeys)
.rangeRound([0, x0.bandwidth()])
.padding(0.05);
var yScale = d3.scaleLinear()
.domain([-100, 100])
.rangeRound([height, 0]);
//and then you will need to append both, groups and bars
var groups = container.append('g')
.selectAll('g')
.data(finalData, d => d.groupKey)
.join("g")
.attr("transform", (d) => "translate(" + x0(d.groupKey) + ",0)");
//define groups bars, one per sub group
var bars = groups
.selectAll("rect")
.data(d => subGroupKeys.map(key => ({ key, value: d[key], groupKey: d.groupKey })), (d) => "" + d.groupKey + "_" + d.key)
.join("rect")
.attr("fill", d => colorRange(d.key))
.attr("x", d => x1(d.key))
.attr("width", (d) => x1.bandwidth())
.attr('y', (d) => Math.min(yScale(0), yScale(d.value)))
.attr('height', (d) => Math.abs(yScale(0) - yScale(d.value)));
//append x axis
container.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
//append y axis
container.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(yScale))
.append("text")
.attr("x", 2)
.attr("y", yScale(yScale.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text("Values");
<script src="https://d3js.org/d3.v7.min.js"></script>
<svg width="600" height="400"></svg>
To start, I am fairly new to D3.Js. I have spent the past week or so working on a D3.JS issue-specifically making a graph with a Y-axis label. However, I cannot get the graph exactly how I want. It is almost there but inverted or my data comes out wrong. Now I will briefly show some of my code and images of my main problem before showing all of the code. I have spent time looking at other Stack Overflow posts with a similar issue and I do what is on those posts and still have the same issue.
For example, I thought that this post would have the solution: reversed Y-axis D3
The data is the following:
[0,20,3,8] (It is actually an array of objects but I think this may be all that is needed.
So, to start, when the yScale is like this:
var yScale = d3.scaleLinear()
.domain([0, maxPound]) //Value of maxpound is 20
.range([0, 350]);
The bar chart looks like this:
As one can see the Y chart starts with zero at the top and 20 at the bottom-which at first I thought was an easy fix of flipping the values in the domain around to this:
var yScale = d3.scaleLinear()
.domain([0, maxPound]) //Value of maxpound is 20
.range([0, 350]);
I get this image:
In the second image the y-axis is right-20 is on top-Yay! But the graphs are wrong. 0 now returns a value of 350 pixels-the height of the SVG element. That is the value that 20 should be returning! If I try to switch the image range values, I get the same problem!
Now the code:
var w = 350;
var h = 350;
var barPadding = 1;
var margin = {top: 5, right: 200, bottom: 70, left: 25}
var maxPound = d3.max(poundDataArray,
function(d) {return parseInt(d.Pounds)}
);
//Y-Axis Code
var yScale = d3.scaleLinear()
.domain([maxPound, 0])
.range([0, h]);
var yAxis = d3.axisLeft()
.scale(yScale)
.ticks(5);
//Creating SVG element
var svg = d3.select(".pounds")
.append('svg')
.attr("width", w)
.attr('height', h)
.append("g")
.attr("transform", "translate(" + margin.left + "," +
margin.top + ")");
svg.selectAll("rect")
.data(poundDataArray)
.enter()
.append("rect")
.attr('x', function(d, i){
return i * (w / poundDataArray.length);
})
.attr('y', function(d) {
return 350 - yScale(d.Pounds);
})
.attr('width', (w / 4) - 25)
.attr('height', function(d){
return yScale(d.Pounds);
})
.attr('fill', 'steelblue');
//Create Y axis
svg.append("g")
.attr("class", "axis")
.call(yAxis);
Thank you for any help! I believe that the error may be in the y or height values and have spent time messing around there with no results.
That is not a D3 issue, but an SVG feature: in an SVG, the origin (0,0) is at the top left corner, not the bottom left, as in a common Cartesian plane. That's why using [0, h] as the range makes the axis seem to be inverted... actually, it is not inverted: that's the correct orientation in an SVG. By the way, HTML5 Canvas has the same coordinates system, and you would have the same issue using a canvas.
So, you have to flip the range, not the domain:
var yScale = d3.scaleLinear()
.domain([0, maxPound])
.range([h, 0]);//the range goes from the bottom to the top now
Or, in your case, using the margins:
var yScale = d3.scaleLinear()
.domain([0, maxPound])
.range([h - margin.bottom, margin.top]);
Besides that, the math for the y position and height is wrong. It should be:
.attr('y', function(d) {
return yScale(d.Pounds);
})
.attr('height', function(d) {
return h - margin.bottom - yScale(d.Pounds);
})
Also, as a bonus tip, don't hardcode the x position and the width. Use a band scale instead.
Here is your code with those changes:
var poundDataArray = [{
Pounds: 10
}, {
Pounds: 20
}, {
Pounds: 5
}, {
Pounds: 8
}, {
Pounds: 14
}, {
Pounds: 1
}, {
Pounds: 12
}];
var w = 350;
var h = 350;
var barPadding = 1;
var margin = {
top: 5,
right: 20,
bottom: 70,
left: 25
}
var maxPound = d3.max(poundDataArray,
function(d) {
return parseInt(d.Pounds)
}
);
//Y-Axis Code
var yScale = d3.scaleLinear()
.domain([0, maxPound])
.range([h - margin.bottom, margin.top]);
var xScale = d3.scaleBand()
.domain(d3.range(poundDataArray.length))
.range([margin.left, w - margin.right])
.padding(.2);
var yAxis = d3.axisLeft()
.scale(yScale)
.ticks(5);
//Creating SVG element
var svg = d3.select("body")
.append('svg')
.attr("width", w)
.attr('height', h)
.append("g")
.attr("transform", "translate(" + margin.left + "," +
margin.top + ")");
svg.selectAll("rect")
.data(poundDataArray)
.enter()
.append("rect")
.attr('x', function(d, i) {
return xScale(i);
})
.attr('y', function(d) {
return yScale(d.Pounds);
})
.attr('width', xScale.bandwidth())
.attr('height', function(d) {
return h - margin.bottom - yScale(d.Pounds);
})
.attr('fill', 'steelblue');
//Create Y axis
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(" + margin.left + ",0)")
.call(yAxis);
<script src="https://d3js.org/d3.v4.min.js"></script>
I want to modify the basic side bar chart to be a stack bar chart, which will reflect partial-amount:total relationship. I already created a matrix with the following:
[{y:0, x0:221, x1:1670},
{y:1, x0:581, x1:1473},
{y:2, x0:2485, x1:2643},
{y:3, x0:135, x1:8714},
{y:4, x0:31, x1:211}]
For reference, in each case the true total would be x0 + x1.
I have a normal bar chart for the totals, but I cannot understand how to convert it to a stacked chart. Also, if there is a way to accomplish this without mutating the data (subtracting x0 from the true total to get x1), that would also be ideal.
Existing BarChart
// Constants
var width = 450,
barHeight = 20,
height = 300,
padding = 10,
leftMargin = 10;
var typeBarChart = d3.select('.typeBarChart')
.attr('width', width)
.attr('height', barHeight*dataGroupByType.length); // dataGroupByType is a D3 nest data series with length is 5
// X-axis;
var x = d3.scale.linear()
.domain([0, maxCrime]) // maxCrime determine elsewhere, approx. 8850
.range([0, width]);
var chart = d3.select(".typeBarChart")
.attr("width", width)
.attr("height", barHeight * dataGroupByType.length);
var bar = chart.selectAll("g")
.data(dataGroupByType)
.enter()
.append("g")
.attr("transform", function(d, i) { return "translate(0," + i * barHeight + ")"; });
bar.append("rect")
.attr("width", function(d) { return x(d.values); })
.attr("height", barHeight - 1);
bar.append("text")
.attr("x", function(d) {
if (d.values < 1000) {
return x(d.values) + 20;
} else {
return x(d.values) - 3;
}
})
.attr("y", barHeight / 2)
.attr("dy", ".35em")
.text(function(d) { return d.values; });
There are a some issues with the code template....
I refined few to create a simplest stacked bar graph.. this would help you get started...
Working fiddle: https://jsfiddle.net/egmf47ne/
CODE:
HTML
<div class ="typeBarChart"></div>
JS
var _data = [{y:0, x0:221, x1:1670},
{y:1, x0:581, x1:1473},
{y:2, x0:2485, x1:2643},
{y:3, x0:135, x1:8714},
{y:4, x0:31, x1:211}]
// Constants
var width = 450,
barHeight = 20,
height = 300,
padding = 10,
leftMargin = 10;
var typeBarChart = d3.select('.typeBarChart')
.append('svg')
.attr('width', width)
.attr('height', barHeight*_data.length);
var x = d3.scale.linear()
.domain([0, 8850]) // maxCrime
.range([0, width]);
var bar = typeBarChart.selectAll("g")
.data(_data)
.enter()
.append("g")
.attr("transform", function(d, i) { return "translate(0," + i * barHeight + ")"; });
bar.append("rect")
.attr("fill","blue") // blue bars of x0 + x1
.attr("width", function(d) { return x(d.x0 + d.x1); })
.attr("height", barHeight - 1);
bar.append("rect")
.attr("fill","red") // red bars of x0 only
.attr("width", function(d) { return x(d.x0); })
.attr("height", barHeight - 1);
I would like to add a line on my horizontal bar chart something like the image, the line should represent 270 on x-axis in this case, but I get the error invalid path attribute. Here is the plunker code:
var info = [
{name: "Walnuts", value:206},
{name: "Almonds", value:332}
];
/* Set chart dimensions */
var width = 960,
height = 500,
margin = {top:10, right:10, bottom:20, left:60};
//subtract margins
width = width - margin.left - margin.right;
height = height - margin.top - margin.bottom;
//sort data from highest to lowest
info = info.sort(function(a, b){ return b.value - a.value; });
//Sets the y scale from 0 to the maximum data element
var max_n = 0;
var category = []
for (var d in info) {
max_n = Math.max(info[d].value, max_n);
category.push(info[d].name)
}
var dx = width / max_n;
var dy = height / info.length;
var y = d3.scale.ordinal()
.domain(category)
.rangeRoundBands([0, height], .1);
var x = d3.scale.linear()
.range([0, width]);
var yAxis = d3.svg.axis()
.scale(y)
.orient('left')
var svg = d3.select("#chart")
.append("svg")
.attr("width", "100%")
.attr("height", "100%")
.attr('preserveAspectRatio', 'xMidYMin')
.attr("viewBox", '0 0 ' + parseInt(width + margin.left + margin.right) + ' ' + parseInt(height + margin.top + margin.bottom))
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
svg.selectAll(".bar")
.data(info)
.enter()
.append("rect")
.attr("class", function(d, i) {return "bar" + d.name;})
.attr("x", function(d, i) {return 0;})
.attr("y", function(d, i) {return dy*i;})
.attr("width", function(d, i) {return dx*d.value})
.attr("height", dy)
.attr("fill", function(d, i){
if(d.name == 'Walnuts') {return 'red'} else {return 'green'}
});
var y_xis = svg.append('g')
.attr('id','yaxis')
.call(yAxis);
var lineEnd = 270;
var line = d3.svg.line()
line
.x(function(d, i) {
return x(d.value) + i; })
.y(function(d, i) { return lineEnd; });
svg.append("path")
.datum(info)
.attr("class", "line")
.attr("d", line);
You don't need d3.svg.line() here. Just create a simple line:
var lineEnd = 270;
var line = svg.append("line")
.attr("x1", lineEnd)
.attr("x2", lineEnd)
.attr("y1", 0)
.attr("y2", height)
.attr("stroke-width", 8)
.attr("stroke", "black")
.attr("stroke-dasharray", "8,8");
This is the plunker: http://plnkr.co/edit/dOhZjRvBHzFqWFByerKH?p=preview
PS: This is not 270 on x-axis, this is simply 270px on the SVG. Right now you cannot use x as a scale because there is no domain. Set a domain for x and use it to set the width of your bars.
First, get rid of this:
var max_n = 0;
var category = []
for (var d in info) {
max_n = Math.max(info[d].value, max_n);
category.push(info[d].name)
}
var dx = width / max_n;
var dy = height / info.length;
Now, set the scales:
var y = d3.scale.ordinal()
.domain(info.map(function(d){ return d.name}))
.rangeRoundBands([0, height], .1);
var x = d3.scale.linear()
.range([0, width])
.domain([0, d3.max(info, function(d){return d.value})])
And then use these scales for your bars:
.attr("x", 0)
.attr("y", function(d){ return y(d.name)})
.attr("width", function(d) {return x(d.value)})
.attr("height", y.rangeBand())
With all these corrected, now we can use 270 in the scale:
var line = svg.append("line")
.attr("x1", function(){ return x(lineEnd)})
.attr("x2", function(){ return x(lineEnd)})
.attr("y1", 0)
.attr("y2", height)
.attr("stroke-width", 6)
.attr("stroke", "black")
.attr("stroke-dasharray", "8,8")
Here is the updated plunker: http://plnkr.co/edit/gtPA12qSf9mBoAY6MeDd?p=preview