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How to zoom in a graph in JavaScript D3

I am trying to get Zoom to work, I am new to D3 and I find it very abstract and not intuitive. I recently finished a beginners course in JavaScript but D3 feels like a completely new language.
I found this topic which might help a bit.
D3 Zooming in graph
I also found the following code that created the graph on the web, the simplest I could find and I don't understand all of it. Now I wanna zoom in and used code that I also found on the web but which has to be adapted. I understood that much that the zoom variable at the top is calling a function called NeuerChart which has the actual zooming behaviour in it. It needs to zoom the graph and the axes when I spin the mousewheel.
In the end I need to implement this into a real problem, thanks. Using D3.v5.
<script>
let zoom = d3.zoom()
.scaleExtent([0.5, 10])
.extent([[0, 0], [width, height]])
.on('zoom', NeuerChart);
// Step 1
let min = 0;
let max = 100;
let x_arr = [];
let y_arr = [];
let s_arr = [];
let z_arr = [];
for (let i = 0; i < 360; i++) {
var r = Math.round(Math.random() * (max - min)) + min;
x_arr[i]= i;
y_arr[i]= r;
z_arr.push([x_arr[i],y_arr[i]]);
}
s_arr = y_arr.sort(function(a, b){return a - b});
let neu_arr = [];
let zz_arr = [];
for (let i = 0; i < 360; i++) {
neu_arr[i]= i;
zz_arr.push([neu_arr[i], s_arr[i]]);
}
console.log(z_arr);
console.log(zz_arr);
var dataset1 = zz_arr;
// Step 3
var svg = d3.select("svg"),
margin = 200,
width = svg.attr("width") - margin, //1700
height = svg.attr("height") - margin //700
// Step 4
var xScale = d3.scaleLinear().domain([0 , 365]).range([0, width]),
yScale = d3.scaleLinear().domain([0, 105]).range([height, 0]);
var g = svg.append("g")
.attr("transform", "translate(" + 100 + "," + 100 + ")");
// Step 5
// Title
svg.append('text')
.attr('x', width/2 + 100)
.attr('y', 100)
.attr('text-anchor', 'middle')
.style('font-family', 'Helvetica')
.style('font-size', 20)
.text('Line Chart');
// X label
svg.append('text')
.attr('x', width/2 + 100)
.attr('y', height - 15 + 150)
.attr('text-anchor', 'middle')
.style('font-family', 'Helvetica')
.style('font-size', 12)
.text('Zeitachse');
// Y label
svg.append('text')
.attr('text-anchor', 'middle')
.attr('transform', 'translate(60,' + 500 + ')rotate(-90)')
.style('font-family', 'Helvetica')
.style('font-size', 12)
.text('Wert');
// Step 6
g.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(xScale).ticks(7).tickValues([0, 60, 120, 180, 240, 300, 360]));
g.append("g")
.call(d3.axisLeft(yScale));
// Step 7
svg.append('g')
.selectAll("dot")
.data(dataset1)
.enter()
.append("circle")
.attr("cx", function (d) { return xScale(d[0]); } )
.attr("cy", function (d) { return yScale(d[1]); } )
.attr("r", 3)
.attr("transform", "translate(" + 100 + "," + 100 + ")")
.style("fill", "#CC0000");
// Step 8
var line = d3.line()
.x(function(d) { return xScale(d[0]); })
.y(function(d) { return yScale(d[1]); })
.curve(d3.curveMonotoneX)
svg.append("path")
.datum(dataset1)
.attr("class", "line")
.attr("transform", "translate(" + 100 + "," + 100 + ")")
.attr("d", line)
.style("fill", "none")
.style("stroke", "#CC0000")
.style("stroke-width", "2")
svg.append("rect")
.attr("width", width)
.attr("height", height)
.style("fill", "none")
.style("pointer-events", "all")
.attr("transform", "translate(" + 100 + "," + 100 + ")")
.call(zoom);
function NeuerChart () {
// recover the new scale
var newX = d3.event.transform.rescaleX(xScale);
var newY = d3.event.transform.rescaleY(yScale);
// update axes with these new boundaries
xAxis.call(d3.axisBottom(newX))
yAxis.call(d3.axisLeft(newY))
}
</script>
I added the code here in Codepen:
https://codepen.io/Dvdscot/pen/zYjpzVP
This is how it should work:
https://codepen.io/Dvdscot/pen/BaxJdKN

Problem is solved, see the code at Codepen:
`
Reset zoom
`https://codepen.io/Dvdscot/pen/zYjpzVP

D3.js v5 modular swarm clusters (variable radius?)

I want to create a visual whereby a swarm contains one big circle and a bunch of satellite circles clinging around it. For a simple demonstration, I have prepared a small version of the data set; each item in the array should have one big circle and then however many smaller circles clinging to it:
var data = [
{'wfoe':'wfoe1','products':d3.range(20)},
{'wfoe':'wfoe2','products':d3.range(40)},
{'wfoe':'wfoe3','products':d3.range(10)}
];
Here is a snippet of my progress:
var margins = {
top: 100,
bottom: 300,
left: 100,
right: 100
};
var height = 250;
var width = 900;
var totalWidth = width + margins.left + margins.right;
var totalHeight = height + margins.top + margins.bottom;
var svg = d3.select('body')
.append('svg')
.attr('width', totalWidth)
.attr('height', totalHeight);
var graphGroup = svg.append('g')
.attr('transform', "translate(" + margins.left + "," + margins.top + ")");
var data = [
{'wfoe':'wfoe1','products':d3.range(20)},
{'wfoe':'wfoe2','products':d3.range(40)},
{'wfoe':'wfoe3','products':d3.range(10)}
];
var columns = 4;
var spacing = 250;
var vSpacing = 250;
var fmcG = graphGroup.selectAll('.fmc')
.data(data)
.enter()
.append('g')
.attr('class', 'fmc')
.attr('id', (d, i) => 'fmc' + i)
.attr('transform', (d, k) => {
var horSpace = (k % columns) * spacing;
var vertSpace = ~~((k / columns)) * vSpacing;
return "translate(" + horSpace + "," + vertSpace + ")";
});
var xScale = d3.scalePoint()
.range([0, width])
.domain([0, 100]);
var rScale = d3.scaleThreshold()
.range([50,5])
.domain([0,1]);
data.forEach(function(d, i) {
d.x = (i % columns) * spacing;
d.y = ~~((i / columns)) * vSpacing;
});
var simulation = d3.forceSimulation(data)
.force("x", d3.forceX(function(d,i) {
return (i % columns) * spacing;
}).strength(0.1))
.force("y", d3.forceY(function(d,i) {
return ~~((i / columns)) * vSpacing;
}).strength(0.01))
.force("collide", d3.forceCollide(function(d,i) { return rScale(i)}))
.stop();
simulation.tick(75);
fmcG.selectAll(null)
.data(data)
.enter()
.append("circle")
.attr("r", function(d,i) {
return rScale(i)
})
.attr("cx", function(d) {
return d.x;
})
.attr("cy", function(d) {
return d.y;
})
.style('fill',"#003366");
<script src="https://d3js.org/d3.v5.min.js"></script>
I want to quickly point out that the big circle doesn't represent any data point (they are just going to house a name / logo). I just thought that including it in the simulation data would be the easiest way to introduce the needed force logic for the swarm circles. I thought that an elegant solution would be to use a threshold scale and let the first (i=0) datum always be the biggest circle. Here is what I mean:
var rScale = d3.scaleThreshold()
.range([0, 1])
.domain([50, 5]);
fmcG.selectAll(null)
.data(data)
.enter()
.append("circle")
.attr("r", function(d,i) {
return rScale(i)
})
.attr("cx", function(d) {
return d.x;
})
.attr("cy", function(d) {
return d.y;
})
.style('fill',"#003366");
The result I mentioned above (three big circles with little circles all around them) was not achieved, and in fact very few circles were appended and the variable radius component didn't seem to be working as I thought it would. (also no errors displayed in the log).
Question
How can I iteratively create swarms that start with one big circle and append subsequent smaller circles around the initial big circle, as applicable to the sample data set?

You could use a force simulation, like below, only this gives non-deterministic results. However, it's really good when you want to gradually add more nodes. In the below solution, I gave all related nodes a link to the center node, but didn't draw it. This made it possible for linked nodes to attract heavily.
On the other hand, you could also use a bubble chart if you want D3 to find the optimal packing solution for you, without the force working on them. Only downside is you'd have to call the packing function with all nodes every time, and the other nodes might shift because of the new one.
var margins = {
top: 100,
bottom: 300,
left: 100,
right: 100
};
var height = 250;
var width = 900;
var totalWidth = width + margins.left + margins.right;
var totalHeight = height + margins.top + margins.bottom;
var svg = d3.select('body')
.append('svg')
.attr('width', totalWidth)
.attr('height', totalHeight);
var graphGroup = svg.append('g')
.attr('transform', "translate(" + margins.left + "," + margins.top + ")");
var data = [{
'wfoe': 'wfoe1',
'products': d3.range(20).map(function(v) {
return v.toString() + '_wfoe1';
})
},
{
'wfoe': 'wfoe2',
'products': d3.range(40).map(function(v) {
return v.toString() + '_wfoe2';
})
},
{
'wfoe': 'wfoe3',
'products': d3.range(10).map(function(v) {
return v.toString() + '_wfoe3';
})
}
];
var columns = 4;
var spacing = 250;
var vSpacing = 250;
function dataToNodesAndLinks(d) {
// Create one giant array of points and
// one link between each wfoe and each product
var nodes = [{
id: d.wfoe,
center: true
}];
var links = [];
d.products.forEach(function(p) {
nodes.push({
id: p,
center: false
});
links.push({
source: d.wfoe,
target: p
});
});
return {
nodes: nodes,
links: links
};
}
var fmcG = graphGroup.selectAll('.fmc')
.data(data.map(function(d, i) {
return dataToNodesAndLinks(d, i);
}))
.enter()
.append('g')
.attr('class', 'fmc')
.attr('id', (d, i) => 'fmc' + i)
.attr('transform', (d, k) => {
var horSpace = (k % columns) * spacing;
var vertSpace = ~~((k / columns)) * vSpacing;
return "translate(" + horSpace + "," + vertSpace + ")";
});
var xScale = d3.scalePoint()
.range([0, width])
.domain([0, 100]);
var rScale = d3.scaleThreshold()
.range([50, 5])
.domain([0, 1]);
fmcG.selectAll("circle")
.data(function(d) {
return d.nodes;
})
.enter()
.append("circle")
.attr("id", function(d) {
return d.id;
})
.attr("r", function(d, i) {
return d.center ? rScale(i) * 5 : rScale(i);
})
.style('fill', function(d) { return d.center ? "darkred" : "#003366"; })
fmcG
.each(function(d, i) {
d3.forceSimulation(d.nodes)
.force("collision", d3.forceCollide(function(d) {
return d.center ? rScale(i) * 5 : rScale(i);
}))
.force("center", d3.forceCenter(0, 0))
.force("link", d3
.forceLink(d.links)
.id(function(d) {
return d.id;
})
.distance(0)
.strength(2))
.on('tick', ticked);
});
function ticked() {
fmcG.selectAll("circle")
.attr("transform", function(d) {
return "translate(" + d.x + "," + d.y + ")";
});
}
<script src="https://d3js.org/d3.v5.js"></script>

How to use x and width in a bar chart with scaleTime?

I have a codepen here - https://codepen.io/anon/pen/xpaYYw?editors=0010
Its a simple test graph but the date will be formatted like this.
I have dates on the x axis and amounts on the y
How can I use the x scale to set the width and x position of the bars.
layers.selectAll('rect')
.data(data)
.enter()
.append('rect')
.attr('height', function(d, i) {
return height - y(d.one);
})
.attr('y', function(d, i) {
return y(d.one);
})
.attr('width', function(d, i) {
return 50;
})
.attr('x', function(d, i) {
return 80*i;
})
.style('fill', (d, i) => {
return colors[i];
});

The problem with your question has nothing to do with programming, or JavaScript, or D3... the problem is a basic dataviz concept (that's why I added the data-visualization tag in your question):
What you're trying to do is not correct! You should not use bars with a time scale. Time scales are for time series (in which we use dots, or dots connected by lines).
If you use bars with time in the x axis you'll face problems:
Positioning the bar: the left margin of the bar will be always at the date you set. The whole bar will lie after that date;
Setting the width of the bar: in a real bar chart, which uses categorical variables for the x axis, the width has no meaning. But in a time scale the width represents time.
However, just for the sake of explanation, let's create this bar chart with a time scale (despite the fact that this is a wrong choice)... Here is how to do it:
First, set the "width" of the bars in time. Let's say, each bar will have 10 days of width:
.attr("width", function(d){
return x(d3.timeDay.offset(d.date, 10)) - x(d.date)
})
Then, set the x position of the bar to the current date less half its width (that is, less 5 days in our example):
.attr('x', function(d, i) {
return x(d3.timeDay.offset(d.date, -5));
})
Finally, don't forget to create a "padding" in the time scale:
var x = d3.scaleTime()
.domain([d3.min(data, function(d) {
return d3.timeDay.offset(d.date, -10);
}), d3.max(data, function(d) {
return d3.timeDay.offset(d.date, 10);
})])
.range([0, width]);
Here is your code with those changes:
var keys = [];
var legendKeys = [];
var maxVal = [];
var w = 800;
var h = 450;
var margin = {
top: 30,
bottom: 40,
left: 50,
right: 20,
};
var width = w - margin.left - margin.right;
var height = h - margin.top - margin.bottom;
var colors = ['#FF9A00', '#FFEBB6', '#FFC400', '#B4EDA0', '#FF4436'];
var data = [{
"one": 4306,
"two": 2465,
"three": 2299,
"four": 988,
"five": 554,
"six": 1841,
"date": "2015-05-31T00:00:00"
}, {
"one": 4378,
"two": 2457,
"three": 2348,
"four": 1021,
"five": 498,
"six": 1921,
"date": "2015-06-30T00:00:00"
}, {
"one": 3404,
"two": 2348,
"three": 1655,
"four": 809,
"five": 473,
"six": 1056,
"date": "2015-07-31T00:00:00"
},
];
data.forEach(function(d) {
d.date = new Date(d.date)
})
for (var i = 0; i < data.length; i++) {
for (var key in data[i]) {
if (!data.hasOwnProperty(key) && key !== "date")
maxVal.push(data[i][key]);
}
}
var x = d3.scaleTime()
.domain([d3.min(data, function(d) {
return d3.timeDay.offset(d.date, -10);
}), d3.max(data, function(d) {
return d3.timeDay.offset(d.date, 10);
})])
.range([0, width]);
var y = d3.scaleLinear()
.domain([0, d3.max(maxVal, function(d) {
return d;
})])
.range([height, 0]);
var svg = d3.select('body').append('svg')
.attr('class', 'chart')
.attr('width', w)
.attr('height', h);
var chart = svg.append('g')
.classed('graph', true)
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');
var layersArea = chart.append('g')
.attr('class', 'layers');
var layers = layersArea.append('g')
.attr('class', 'layer');
layers.selectAll('rect')
.data(data)
.enter()
.append('rect')
.attr('height', function(d, i) {
return height - y(d.one);
})
.attr('y', function(d, i) {
return y(d.one);
})
// .attr('width', function(d, i) {
// return 50;
// })
.attr("width", function(d) {
return x(d3.timeDay.offset(d.date, 10)) - x(d.date)
})
.attr('x', function(d, i) {
return x(d3.timeDay.offset(d.date, -5));
})
.style('fill', (d, i) => {
return colors[i];
});
chart.append('g')
.classed('x axis', true)
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x)
.tickFormat(d3.timeFormat("%Y-%m-%d")).tickValues(data.map(function(d) {
return new Date(d.date)
})));
chart.append('g')
.classed('y axis', true)
.call(d3.axisLeft(y)
.ticks(10));
<script src="https://d3js.org/d3.v4.min.js"></script>

Trying to transfer Tributary D3.js example into JSFiddle

I'm rather a beginner at both JS and D3.js; my JSFiddle is here.
JSHint shows no errors, so I think I'm doing the D3 wrong.
I'm trying to do the same thing as in these questions, adapting a Tributary example to run outside of that platform: "Exporting" a Tributary example that makes use of the tributary object - d3.js and Getting horizontal stack bar example to display using d3.js (I'm even adapting the same code as the latter) Unfortunately, there is no corrected JSFiddle or other example in either answer
Here's my code:
var VanillaRunOnDomReady = function() {
var margins = {
top: 12,
left: 48,
right: 24,
bottom: 24
};
var data = [
{"key":"Nonviolent", "cat1":0.69, "cat2":0.21, "cat3":0.10},
{"key":"Violent", "cat1":0.53, "cat2":0.29, "cat3":0.18}
];
var catnames = {cat1: "No mental illness",
cat2: "Mild mental illness",
cat3: "Moderate or severe mental illness"};
var svg = d3.select('body')
.append('svg')
.attr('width', width + margins.left + margins.right)
.attr('height', height + margins.top + margins.bottom)
.append('g')
.attr('transform', 'translate(' + margins.left + ',' + margins.top + ')');
var n = 3, // number of layers
m = data.length, // number of samples per layer
stack = d3.layout.stack(),
labels = data.map(function(d) {return d.key;}),
//go through each layer (cat1, cat2 etc, that's the range(n) part)
//then go through each object in data and pull out that objects's catulation data
//and put it into an array where x is the index and y is the number
layers = stack(d3.range(n).map(function(d) {
var a = [];
for (var i = 0; i < m; ++i) {
a[i] = {x: i, y: data[i]['cat' + (d+1)]};
}
return a;
})),
//the largest single layer
yGroupMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y; }); }),
//the largest stack
yStackMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y0 + d.y; }); });
var margin = {top: 40, right: 10, bottom: 20, left: 50},
width = 677 - margin.left - margin.right,
height = 533 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.domain(d3.range(m))
.rangeRoundBands([2, height], 0.08);
var x = d3.scale.linear()
.domain([0, yStackMax])
.range([0, width]);
var color = d3.scale.linear()
.domain([0, n - 1])
.range(["#aad", "#556"]);
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) { return color(i); });
layer.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("y", function(d) { return y(d.x); })
.attr("x", function(d) { return x(d.y0); })
.attr("height", y.rangeBand())
.attr("width", function(d) { return x(d.y); });
var yAxis = d3.svg.axis()
.scale(y)
.tickSize(1)
.tickPadding(6)
.tickValues(labels)
.orient("left");
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
};

I think you are just missing a (); at the end of your function and before the semicolon. That would make it self executing. I forked your fiddle.
var VanillaRunOnDomReady = function() {
var margins = {
top: 12,
left: 48,
right: 24,
bottom: 24
};
var data = [
{"key":"Nonviolent", "cat1":0.69, "cat2":0.21, "cat3":0.10},
{"key":"Violent", "cat1":0.53, "cat2":0.29, "cat3":0.18}
];
var catnames = {cat1: "No mental illness",
cat2: "Mild mental illness",
cat3: "Moderate or severe mental illness"};
var svg = d3.select('body')
.append('svg')
.attr('width', width + margins.left + margins.right)
.attr('height', height + margins.top + margins.bottom)
.append('g')
.attr('transform', 'translate(' + margins.left + ',' + margins.top + ')');
var n = 3, // number of layers
m = data.length, // number of samples per layer
stack = d3.layout.stack(),
labels = data.map(function(d) {return d.key;}),
//go through each layer (cat1, cat2 etc, that's the range(n) part)
//then go through each object in data and pull out that objects's catulation data
//and put it into an array where x is the index and y is the number
layers = stack(d3.range(n).map(function(d) {
var a = [];
for (var i = 0; i < m; ++i) {
a[i] = {x: i, y: data[i]['cat' + (d+1)]};
}
return a;
})),
//the largest single layer
yGroupMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y; }); }),
//the largest stack
yStackMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y0 + d.y; }); });
var margin = {top: 40, right: 10, bottom: 20, left: 50},
width = 677 - margin.left - margin.right,
height = 533 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.domain(d3.range(m))
.rangeRoundBands([2, height], 0.08);
var x = d3.scale.linear()
.domain([0, yStackMax])
.range([0, width]);
var color = d3.scale.linear()
.domain([0, n - 1])
.range(["#aad", "#556"]);
var svg = d3.select("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 layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) { return color(i); });
layer.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("y", function(d) { return y(d.x); })
.attr("x", function(d) { return x(d.y0); })
.attr("height", y.rangeBand())
.attr("width", function(d) { return x(d.y); });
var yAxis = d3.svg.axis()
.scale(y)
.tickSize(1)
.tickPadding(6)
.tickValues(labels)
.orient("left");
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
}();

Scaling a D3.js Bullet Chart keeps messing up

I am new to D3.js and I am drawing a bullet chart for a website I am working on. I took the code from here as a starting point:
http://bl.ocks.org/jugglinmike/6004102
I have a chart drawn, and for a basic case, I do not need to worry about switching the data shown. I really need to, however, have the entire chart and all of its elements scale with the window resize.
Right now, I have two files, bullet.js and draw_bullet.js. This is the code for draw_bullet.js:
var margin = {top: 5, right: 40, bottom: 20, left: 120},
width = ($(window).width() * .3) - margin.left - margin.right,
height = 50 - margin.top - margin.bottom;
var chart = d3.bullet()
.width(width)
.height(height);
function fillChart() {
d3.json("/static/response.json", function(error, data) {
var svg = d3.select("#zone1").selectAll("svg")
.data(data)
.enter().append("svg")
.attr("class", "bullet")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(chart1);
var title = svg.append("g")
.style("text-anchor", "end")
.attr("transform", "translate(-6," + height / 2 + ")");
title.append("text")
.attr("class", "title")
.text(function(d) { return d.title; });
title.append("text")
.attr("class", "subtitle")
.attr("dy", "1em")
.text(function(d) { return d.subtitle; });
});
}
And my code for bullet.js:
d3.bullet = function() {
var orient = "left", // TODO top & bottom
reverse = false,
duration = 0,
ranges = bulletRanges,
measures = bulletMeasures,
width = parseInt(d3.select("#zone1").style("width"), 10),
height = 30,
tickFormat = null;
// For each small multiple…
function bullet(g) {
g.each(function(d, i) {
var rangez = ranges.call(this, d, i).slice().sort(d3.descending),
measurez = measures.call(this, d, i).slice().sort(d3.descending),
g = d3.select(this);
// Compute the new x-scale.
var x1 = d3.scale.linear()
.domain([0, Math.max(rangez[0], measurez[0])])
.range(reverse ? [width, 0] : [0, width]);
// Retrieve the old x-scale, if this is an update.
var x0 = this.__chart__ || d3.scale.linear()
.domain([0, Infinity])
.range(x1.range());
// Stash the new scale.
this.__chart__ = x1;
// Derive width-scales from the x-scales.
var w0 = bulletWidth(x0),
w1 = bulletWidth(x1);
// Update the range rects.
var range = g.selectAll("rect.range")
.data(rangez);
range.enter().append("rect")
.attr("class", function(d, i) { return "range s" + i; })
.attr("width", w0)
.attr("height", height)
.attr("x", reverse ? x0 : 0)
.transition()
.duration(duration)
.attr("width", w1)
.attr("x", reverse ? x1 : 0);
range.transition()
.duration(duration)
.attr("x", reverse ? x1 : 0)
.attr("width", w1)
.attr("height", height);
// Update the measure rects.
var measure = g.selectAll("rect.measure")
.data(measurez);
measure.enter().append("rect")
.attr("class", function(d, i) { return "measure s" + i; })
.attr("width", w0)
.attr("height", height / 3)
.attr("x", reverse ? x0 : 0)
.attr("y", height / 3)
.transition()
.duration(duration)
.attr("width", w1)
.attr("x", reverse ? x1 : 0);
measure.transition()
.duration(duration)
.attr("width", w1)
.attr("height", height / 3)
.attr("x", reverse ? x1 : 0)
.attr("y", height / 3);
// Compute the tick format.
var format = tickFormat || x1.tickFormat(8);
// Update the tick groups.
var tick = g.selectAll("g.tick")
.data(x1.ticks(8), function(d) {
return this.textContent || format(d);
});
// Initialize the ticks with the old scale, x0.
var tickEnter = tick.enter().append("g")
.attr("class", "tick")
.attr("transform", bulletTranslate(x0))
.style("opacity", 1e-6);
tickEnter.append("line")
.attr("y1", height)
.attr("y2", height * 7 / 6);
tickEnter.append("text")
.attr("text-anchor", "middle")
.attr("dy", "1em")
.attr("y", height * 7 / 6)
.text(format);
// Transition the entering ticks to the new scale, x1.
tickEnter.transition()
.duration(duration)
.attr("transform", bulletTranslate(x1))
.style("opacity", 1);
// Transition the updating ticks to the new scale, x1.
var tickUpdate = tick.transition()
.duration(duration)
.attr("transform", bulletTranslate(x1))
.style("opacity", 1);
tickUpdate.select("line")
.attr("y1", height)
.attr("y2", height * 7 / 6);
tickUpdate.select("text")
.attr("y", height * 7 / 6);
// Transition the exiting ticks to the new scale, x1.
tick.exit().transition()
.duration(duration)
.attr("transform", bulletTranslate(x1))
.style("opacity", 1e-6)
.remove();
});
d3.timer.flush();
}
// left, right, top, bottom
bullet.orient = function(x) {
if (!arguments.length) return orient;
orient = x;
reverse = orient == "right" || orient == "bottom";
return bullet;
};
// ranges (bad, satisfactory, good)
bullet.ranges = function(x) {
if (!arguments.length) return ranges;
ranges = x;
return bullet;
};
// measures (actual, forecast)
bullet.measures = function(x) {
if (!arguments.length) return measures;
measures = x;
return bullet;
};
bullet.width = function(x) {
if (!arguments.length) return width;
width = x;
return bullet;
};
bullet.height = function(x) {
if (!arguments.length) return height;
height = x;
return bullet;
};
bullet.tickFormat = function(x) {
if (!arguments.length) return tickFormat;
tickFormat = x;
return bullet;
};
bullet.duration = function(x) {
if (!arguments.length) return duration;
duration = x;
return bullet;
};
return bullet;
};
function bulletRanges(d) {
return d.ranges;
}
function bulletMeasures(d) {
return d.measures;
}
function bulletTranslate(x) {
return function(d) {
return "translate(" + x(d) + ",0)";
};
}
function bulletWidth(x) {
var x0 = x(0);
return function(d) {
return Math.abs(x(d) - x0);
};
}
})();
I am using jQuery and I know I have to embed a function in $(window).resize(), however I have tried many different things and none of them seem to adjust correctly. I try to set chart.width() to my new value in the function, and later when I call the width of the chart, it shows it as being my new value, but doesn't adjust its view on the screen. Is it necessary to redraw the entire chart and all its elements to resize? And then, also, when I tried to rescale the range for the chart, I found it very difficult to do so because the range variable is embedded in the anonymous function inside of bullet.js. Any help you can provide in pointing me in the right direction would be awesome. I tried using this tutorial, but it didn't seem to apply to my situation too much because they are different types of charts.
http://eyeseast.github.io/visible-data/2013/08/28/responsive-charts-with-d3/
Thanks!