I'm learning D3 and having an issue updating my bar chart
let container = d3.select(this)
let x = d3.scaleBand().rangeRound([0, width]).padding(0.1)
let y = d3.scaleLinear().rangeRound([height, 0])
x.domain(data.map(function(d) {
return d.x;
}));
y.domain([0, d3.max(data, function(d) { return d.y; })])
// seems like everytime when there is a new data, a new "g" is appended
let g = container
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
const gEnter = g.selectAll('.bar')
.data(data)
gEnter.exit().remove()
gEnter.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) {
return x(d.x)
})
.attr("y", function(d) {
return y(d.y)
})
.attr('fill', barColor)
.attr("width", x.bandwidth())
.attr("height", function(d) {
return height - y(d.y)
})
My goal is to update the graph everytime when there is new data come in, what the above code does is keep appending new graph on top of the current graph.
Somehow I felt I'm missing something trivial.
Any tips will help, thanks.
You should move
let g = container
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
out of you update function, otherwise, it will create a new g each time this function is executed, make a selectAll on this new g (and find nothing inside it), and execute the enter() selection for all your data.
You can change your structure, for instance, to:
const svg = d3.select(this),
container = svg.append('g')
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
let x = d3.scaleBand().rangeRound([0, width]).padding(0.1)
let y = d3.scaleLinear().rangeRound([height, 0])
function update(data){
x.domain(data.map(function(d) {
return d.x;
}));
y.domain([0, d3.max(data, function(d) { return d.y; })])
const gEnter = container.selectAll('.bar')
.data(data)
gEnter.exit().remove()
gEnter.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) {
return x(d.x)
})
.attr("y", function(d) {
return y(d.y)
})
.attr('fill', barColor)
.attr("width", x.bandwidth())
.attr("height", function(d) {
return height - y(d.y)
})
}
someAjaxCall().then(data => update(data))
You can check this example made by Mike Bostock to have an overview on how organize your code.
Related
I have three charts in different positions. The tooltips look fine for my first chart, but for the other two the tooltips show in the first chart.
I've tried BBbox and getboundindclientrect(), and none of them work for d3.select(this).
// This is my chart module, I'm struggling to get xPosition and yPosition right.
function chart(selection) {
innerWidth = width - margin.left - margin.right,
innerHeight = height - margin.top - margin.bottom,
selection.each(function (data) {
// Select the svg element, if it exists.
var svg = d3.select(this).selectAll("svg").data([data]);
// Otherwise, create the skeletal chart.
var svgEnter = svg.enter().append("svg");
var gEnter = svgEnter.append("g");
gEnter.append("g").attr("class", "x axis");
gEnter.append("g").attr("class", "y axis");
// Update the outer dimensions.
svg.merge(svgEnter).attr("width", width)
.attr("height", height);
// Update the inner dimensions.
var g = svg.merge(svgEnter).select("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
xScale.rangeRound([0, innerWidth])
.domain(data.map(xValue)); //xValue = function(d) { return d[0]; }
yScale.rangeRound([innerHeight, 0])
.domain([0, d3.max(data, yValue)]);
g.select(".x.axis")
.attr("transform", "translate(0," + innerHeight + ")")
.call(d3.axisBottom(xScale));
g.select(".y.axis")
.call(d3.axisLeft(yScale).ticks(10))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("text-anchor", "end")
.text("Frequency");
var bars = g.selectAll(".bar")
.data(function (d) { return d; });
bars.enter().append("rect")
.attr("class", "bar")
.merge(bars)
.attr("x", X) // function X(d) {return xScale(xValue(d));}
.attr("y", Y)
.attr("width", xScale.bandwidth())
.attr("height", function(d) { return innerHeight - Y(d); })
.attr("fill", "rgb(0, 18, 65") // International Klein blue
.on("mouseover", function(d) {
//Get this bar's x/y values, then augment for the tooltip
var xPosition = parseFloat(d3.select(this).attr("x")) + xScale.bandwidth()/2; // + parseFloat(bars.node().getBBox().x);
var yPosition = parseFloat(d3.select(this).attr("y"))/2 + innerHeight/2;
//Update the tooltip position and value
d3.select("#tooltip")
.style("left", xPosition + "px")
.style("top", yPosition + "px")
.select("#value")
.text(yValue(d));
//Show the tooltip
d3.select("#tooltip").classed("hidden", false);
})
.on("mouseout", function() {
//Hide the tooltip
d3.select("#tooltip").classed("hidden", true);
})
.on("click", onClick);
bars.exit().remove();
});
}
I'd like to get the tooltips on top of my rectangles when I place the mouse over them.
I want to highlight a bar with April (value in x-axis) with a square box. but I am not getting a approach to do the same.
tried getting the co-ordinates of the respected bar, but unable to find a solution for the same
Unable to find the co-ordinates of the respective bar which I need to highlight.
what should be the approach for highlighting a bar with a square box in stacked bar chart d3.js v4
createStackedBarChart(130,300,10,60,20,45,"manager-line-graph-2");
function createStackedBarChart(height,width,top,right,bottom,left,id){
var margin = {top: top, right: right, bottom: bottom, left: left };
//console.log("margin"+margin);
var svg = d3.select("#"+id).append("svg"),
width = width - margin.left - margin.right,
height = height - margin.top - margin.bottom,
g = svg.attr("width", "100%")
.attr("height", height + margin.top + margin.bottom)
.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x = d3.scaleBand()
.rangeRound([0, width])
.padding(0.2)
.align(5.0);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#0000FF", "#00FFFF", "#81F781", "#F3F781", "#FE2E2E"]);
var data = [
{"Months": "Feb","Installation": 5,"Product": 10,"Payment": 15,"Billing": 20,"Outage": 25},
{"Months": "March","Installation": 6,"Product": 8,"Payment": 9,"Billing": 15,"Outage": 18},
{"Months": "April","Installation": 9,"Product": 12,"Payment": 24,"Billing": 17,"Outage": 14},
{"Months": "May","Installation": 9,"Product": 12,"Payment": 14,"Billing": 17,"Outage": 14},
{"Months": "June","Installation": 9,"Product": 12,"Payment": 15,"Billing": 11,"Outage": 10}
];
// fix pre-processing
var keys = [];
for (key in data[0]){
if (key != "Months")
keys.push(key);
}
console.log("value of keys are " + keys);
data.forEach(function(d){
d.total = 0;
keys.forEach(function(k){
d.total += d[k];
})
});
//data.sort(function(a, b) {
//return b.total - a.total;
//});
x.domain(data.map(function(d) {
return d.Months;
}));
y.domain([0, d3.max(data, function(d) {
return d.total;
})]).nice();
z.domain(keys);
g.append("g")
.selectAll("g")
.data(d3.stack().keys(keys)(data))
.enter().append("g")
.attr("fill", function(d) {return z(d.key);})
.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("x", function(d) {
return x(d.data.Months);
})
.attr("y", function(d) {
return y(d[1]);
})
.attr("height", function(d) {
return y(d[0]) - y(d[1]);
})
.attr("width", x.bandwidth()-5);
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).ticks(5));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(5, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks(5).pop()))
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) {
return "translate(0," + i * 20 + ")";
});
//legend.append("rect")
//.attr("x", width + 20)
//.attr("width", 10)
//.attr("height", 10)
//.attr("fill", z);
legend.append("circle")
.attr("r",5)
.attr("cx", width+30)
.attr("cy", 0)
.attr("fill",z);
legend.append("text")
.attr("x", width + 88)
.attr("y", 3.5)
.attr("dy", "0.12em")
.text(function(d) {
return`enter code here` d;
});
}
One solution I have used previously is to create an invisible layer of bars for the same data. Then use the .on("mouseover", function...); to make the bars for that data visible again by changing the styles or the fill opacity.
Here is a sample bl.ock with what I mean. It is a grouped bar chart with ordinal scale, but the same could be applied to your data with some tweaking.
https://bl.ocks.org/Coola85/b05339b65a7f9b082ca210d307a3e469
Update May 5, 2018: upon further reading I see your issue is different than the solution I suggested. This link might give you a good starting point of how to use an if statement to selectively highlight particular data.
so you could use the following style for your rect
.style ("fill", function(d) {
if (d.Months === "April") {return "red"} // <== Add these
else { return "black" }
})
I am going to draw a line chart using d3.js. I am plotting time in the x axis and speed in the y axis of different vehicle ids. But one thing I am not getting seconds from my data. the code is rounding seconds to minute. So I am getting wrong chart. I am trying to draw something like http://bl.ocks.org/mbostock/3884955.
Here is my code
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.category10();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom").ticks(d3.time.minutes,5).tickFormat(d3.time.format("%H:%M:%S"));
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.time); })
.y(function(d) { return y(d.speed); });
/* var points = popchart.selectAll(".point")
.data(data)
.enter().append("svg:circle")
.attr("stroke", "black")
.attr("fill", function(d, i) { return color(i) })
.attr("cx", function(d, i) { return x(d.time) })
.attr("cy", function(d, i) { return y(d.speed) })
.attr("r", function(d, i) { return 3 }); */
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "time"; }));
var ids = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {time: d.time, speed: +d[name]};
})
};
});
x.domain([d3.min(data,function(d){return d.time}),d3.max(data,function(d){return d.time})]);
y.domain([
d3.min(ids, function(c) { return d3.min(c.values, function(v) { return v.speed; }); }),
d3.max(ids, function(c) { return d3.max(c.values, function(v) { return v.speed; }); })
]);
var svg = d3.select("#chart").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
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("Speed (mph)");
var id = svg.selectAll(".id")
.data(ids)
.enter().append("g")
.attr("class", "id");
id.append("path")
.attr("class", "line")
.attr("d", function(d) {return line(d.values); })
.style("stroke", function(d) { return color(d.name); });
id.append("text")
.datum(function(d) { return {name: d.name, value: d.values[d.values.length - 1]}; })
.attr("transform", function(d) { return "translate(" + x(d.value.time) + "," + y(d.value.speed) + ")"; })
.attr("x", 3)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
Though I am picking time in %H:%M:%S format the second is not coming in the chart. Why is this happening?
The reason you are getting loop is only one, Your data is not sorted according to time values as i am suspecting.In Your code you add the following for sorting the data according to time. And use this sorted data to draw the line chart.
Here is the code
data=data.sort(function(a, b) {
return d3.ascending(a.time,b.time);
});
Then pass this sorted data to draw the line chart. You are done
I forked your plunker, it seems as though some of the tabs in your tsv were actually spaces.
This was, for starters, causing massive problems in your plunk,
so for testing I've changed it to a csv, and moved your script into script.js so that it's a little more testable.
I'll try to have another look soon, but this should make it easier for others to debug also. Let us know if this is more like what you wanted
Plunk: http://plnkr.co/edit/bxncPdugtRTaWTdztraC?p=preview
d3.csv("data.csv", function(error, data) {
...
}
I'm a d3 novice trying to create a simple, two-series bar chart that transitions when different buttons are clicked. The original chart is constructed:
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(["#d4d4d4", "#58bd5b",]);
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("div.d3space").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("/assets/data/data3.csv", function(error, data) {
var hourBuckets = d3.keys(data[0]).filter(function(key) { return key !== "Client"; });
data.forEach(function(d) {
d.hours = hourBuckets.map(function(name) { return {name: name, value: +d[name]}; });
});
x0.domain(data.map(function(d) { return d.Client; }));
x1.domain(hourBuckets).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.hours, 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("Hours");
var client = svg.selectAll(".client")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.Client) + ",0)"; });
client.selectAll("rect")
.data(function(d) { return d.hours; })
.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(hourBuckets.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; });
});
The csv being accessed is in the following format:
Client,Planned,Actual
ICC,25,50
RNR,50,47.5
MB,10,2.5
This chart renders as desired. The piece I am struggling with is getting this graph to transition to reflect different data when a link is clicked (link has id="fourweeks"). I have tried this onclick function:
window.onload = function() {
var a = document.getElementById("fourweeks");
var b = document.getElementById("eightweeks");
var c = document.getElementById("twelveweeks");
a.onclick = function() {
d3.csv("/assets/data/data1.csv", function(error, data) {
var hourBuckets = d3.keys(data[0]).filter(function(key) { return key !== "Client"; });
data.forEach(function(d) {
d.hours = hourBuckets.map(function(name) { return {name: name, value: +d[name]}; });
});
var client = svg.selectAll(".client")
client.selectAll("rect")
.data(function(d) { return d.hours; })
.transition()
.duration(1000)
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
});
}
}
...no dice. I can get this to work when creating / transitioning simple one-series bar charts that use list inputs, but not the multi-series csv ones. data2.csv is the exact same file as data1.csv, with the values adjusted slightly.
Thanks for your time reading - any advice?
First svg.selectAll(".client") returns an empty selection, because you gave these elements the class 'g' instead of 'client'.
Secondly you need to update the data of the .client-elements:
var client = svg.selectAll(".client")
.data(data);
btw. you should use selection.classed() instead of selection.attr('class')
I'm looking for a way of limiting the column width in a chart, I'm sure this ought to be relatively easy but I cant find a way of doing it.
I'm populating a chart from some dynamic data, where the number of columns can vary quite dramatically - between 1 and 20.
e.g: sample of csv
Location,Col1
"Your house",20
Location,Col1,Col2,Col3,Col4,Col5
"My House",12,5,23,1,5
This is working fine, and the col widths are dynamic, however when there is only one column in the data, I end up with one bar of width 756 (the whole chart), and I dont like the way this looks.
What I'd like to do is only ever have a maximum column of width 100px irrespective of the number of columns of data.
Below is my script for the chart
Many thanks,
<script>
var margin = {
top : 40,
right : 80,
bottom : 80,
left : 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.linear().range([ 0, width ]);
var y = d3.scale.linear().range([ height, 0 ]);
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .05);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var chart = d3.select("body").append("svg")
.attr("class","chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var legendChart = d3.select("body").append("svg")
.attr("class","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.csv("/sampledata.csv.txt", function(error, data) {
// Use the first row of csv for header names
var reasonNames = d3.keys(data[0]).filter(function(key) {
return key !== "Location";
});
//console.log(reasonNames);
data.forEach(function(d) {
d.reasons = reasonNames.map(function(name) {
return {
name : name,
value : +d[name]
};
});
//console.log(d.reasons);
});
x0.domain(data.map(function(d) {return d.Location; }));
x1.domain(reasonNames).rangeRoundBands([0, x0.rangeBand()]);
console.log(x0.rangeBand());
y.domain([0, d3.max(data, function(d) { return d3.max(d.reasons, function(d) { return d.value; }); })]);
var maxVal = d3.max(data, function(d) { return d3.max(d.reasons, function(d) { return d.value; }); });
//console.log(maxVal);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
//.tickFormat(d3.format(".2s"));
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
chart.append("g")
.attr("class", "y axis")
.call(yAxis);
var location = chart.selectAll(".name")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.Location) + ",0)"; });
location.selectAll("rect")
.data(function(d) { return d.reasons; })
.enter().append("rect")
.attr("width", x1.rangeBand()-2)
.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,i) { return "#"+3+"9"+i; /*color(d.name);*/ });
chart.selectAll("text")
.data(data)
.enter().append("text")
.attr("x", function(d) { return x1(d.name)+ x.rangeBand() / 2; })
.attr("y", function(d) { return y(d.value); })
.attr("dx", -3) // padding-right
.attr("dy", ".35em") // vertical-align: middle
.attr("text-anchor", "end") // text-align: right
.text("String");
var legend = legendChart.selectAll(".legend")
.data(reasonNames.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("x", 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", function(d, i) {/*console.log(i);*/return "#" + 3 + "9" + i;
});
legend.append("text")
//.attr("x", width - 24)
.attr("x", 48)
.attr("y", 9).attr("dy",".35em")
//.style("text-anchor", "end")
//.text(function(d,i) { return String.fromCharCode((65+i))+i; });
.text(function(d) { return d; });
});
</script>
The easiest way to achieve this is by changing the line
.attr("width", x1.rangeBand()-2)
to
.attr("width", Math.min(x1.rangeBand()-2, 100))
You might also want to adjust the starting position and/or padding.
Code for adjusting starting position if anyone is stuck on it:
.attr("x", function(d, i) { return x1(d.seriesName) + (x1.rangeBand() - 100)/2 ;})
P.S. : referring answer from Lars.
Setting an absolute maximum width for the columns doesn't allow proper rendering for different screen resolutions, div sizes, etc.
In my case, I just wanted the columns not to look so large when the number of columns itself is small
I found it easier and more straight-forward to play with the scale definition, by changing the maximum width (where all columns will fit), their inner and outer paddings.
var w = 600
// var w = parseInt(d3.select(parentID).style('width'), 10) // retrieve the div width dynamically
var inner_padding = 0.1
var outer_padding = 0.8
var xScale = d3.scale.ordinal().rangeRoundBands([0, w], inner_padding, outer_padding)
When rendering the plot, I just ran a switch/if-else statement, which assigns different padding values. The lower the number of columns to plot, the greater the outer_padding (and eventually inner-padding) values I use.
This way, I keep the plots responsive.
I am able to change the width of the bar using the above answer. But unfortunately, my X Axis labels are not aligned when there is a single bar in the chart and it uses the max width set.
var tradeGroup = svg.selectAll("g.trade")
.data(trades)
.enter()
.append("svg:g")
.attr("class", "trade")
.style("fill", function (d, i) {
return self.color(self.color.domain()[i]);
})
.style("stroke", function (d, i) {
return d3.rgb(self.color(self.color.domain()[i])).darker();
});
var aWidth = Math.min.apply(null, [x.rangeBand(), 100]);
// Add a rect for each date.
var rect = tradeGroup.selectAll("rect")
.data(Object)
.enter()
.append("svg:rect")
.attr("x", function (d) {
return x(d.x);
})
.attr("y", function (d) { return y( (d.y || 0) + (d.y0 || 0)); })
.attr("height", function (d) { return y(d.y0 || 0) - y((d.y || 0) + (d.y0 || 0)); })
.attr("width", Math.min.apply(null, [x.rangeBand(), 100]));
For completeness the full answer would look like this:
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", (d) -> x1(d.name) + (x1.rangeBand() - d3.min([x1.rangeBand(), 100]))/2)
.attr("width", d3.min([x1.rangeBand(), 100]))
.attr("y", (d) -> y(d.grade) )
.attr("height", (d)-> height - y(d.value) )
(coffeescript syntax)
Note this include the full answer, the 'width' and the 'x' settings. Also 'x' settings is accounting for a when 100 width is not the min value.
Thought I'd share that I came up with a slightly different answer to this. I didn't want to hard code in a maximum bar width because 1) it wasn't responsive to different screen sizes and 2) it also required playing with the x-coordinate attribute or accepting some irregular spacing.
Instead, I just set a minimum number of bars, based on the point where the bars became too wide (in my case, I found that less than 12 bars made my chart look weird). I then adjusted the scaleBand's range attribute, proportionately, if there were less than that number of bars. So, for example, if the minimum was set to 12 and there were only 5 items in the data, rather than rendering each of them at 1/5th of the full width, I scaled the range down to 5/12ths of the original width.
Basically, something like this:
// x is a scaleBand() that was previously defined, and this would run on update
var minBarSlots = 12;
if (data.length < minBarSlots) {
x.range([0, width*(data.length/minBarSlots)])
}
else {
x.range([0, width])
}`