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@nstrayer
Last active January 3, 2023 15:57
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Reusable dotplots.
license: mit

My second visualization using the coding style from @ejb 's blog post “A better way to structure D3 code”.

This is a dotplot that can be updated and resized easily.

The data it takes is in the form of data = [{"val": 4, "group": "a"}, ...].

Also see my first visualization using @ejb's style: the histogram.

This is part of my larger project of making a d3/r library for dynamic and interactive basic statistical plots.

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var Dot_Plots = function(opts) {
this.data = opts.data; //data in [{val: 4, group: 'a'},...] form
this.element = opts.element; //div we are putting this viz in
this.bins = opts.bins; //number of bins for grouping
this.speed = 800; //speed of transitions
// create the Dot_Plot
this.draw();
}
Dot_Plots.prototype.draw = function() {
// define width, height and paddings
this.padding = 25;
this.width = this.element.offsetWidth - (2*this.padding);
this.height = (this.width / 2) - (2*this.padding);
var svg = d3.select(this.element).append('svg')
.attr('width', this.width + (2*this.padding))
.attr('height', this.height + (2*this.padding));
// make a g element to hold whole viz
this.plot = svg.append('g')
.attr("class", "box_plot_holder")
.attr("transform", "translate(" + this.padding + "," + this.padding + ")");
// create the other stuff
this.findUniqueGroups(); //find the unique groups we have.
this.createPlaceScale(); //generate the placement scale for groups
this.createYScale(); //Make common y scale
this.seperateGroups(); //Get data into the right form.
this.findRadius(); //figure out how big to make the dots.
this.generateDotPlots(); //convert data to histogram layout
this.addAxes(); //draw the axes
}
//Generate a scale for placing the individual dot plots in parent svg.
Dot_Plots.prototype.findUniqueGroups = function() {
//find unique groups
var groups = []
this.data.forEach(function(d){
if (groups.indexOf(d.group) == -1){groups.push(d.group)}
})
this.groups = groups //make list of groups available to object.
}
//Generate a scale for placing the individual dot plots in parent svg.
Dot_Plots.prototype.createPlaceScale = function() {
this.place_scale = d3.scale.ordinal()
.domain(this.groups )
.rangeBands([0, this.width]);
var range = [] //colorbrewer only has scales as little as 3.
if(this.groups.length == 1){
range = ["#1b9e77"]
} else if (this.groups.length == 2){
range = ["#1b9e77", "#d95f02"]
} else {
range = colorbrewer.Dark2[this.groups.length]
}
this.color_scale = d3.scale.ordinal() //while we're here create a color scale.
.domain(this.groups)
.range(range);
}
//In order to be able to compare distributions we need to have a common y axis.
Dot_Plots.prototype.createYScale = function(){
this.bounds = d3.extent(this.data, function(d){return d.val});
this.yScale = d3.scale.linear()
.domain(this.bounds)
.range([this.height,0]);
}
Dot_Plots.prototype.seperateGroups = function() {
var t = this, //bring the values from overall object into this scope
groupedData = [];
// Generate a dotlayout using the histogram layout in d3
var generateDotLayout = function(data){
var dot_data = d3.layout.histogram()
.bins(t.yScale.ticks(t.bins))
(data);
return dot_data;
}
t.groups.forEach(function(group){ //run through groups
var values = [] //Vec of data for group
t.data.forEach(function(d){ //append data if it is in current group
if(d.group == group){ //push datapoint value to group vector
values.push(d.val)
}
})
//For this group, use the histogram function to generate the data into binned values.
groupedData.push({"group": group, "vals": generateDotLayout(values)})
})
this.groupedData = groupedData //send it to the object scope.
}
Dot_Plots.prototype.findRadius = function(){
//find widest point in dotplots
var widest = 0
this.groupedData.forEach(function(group){
var group_data = group.vals
group_data.forEach(function(d,i){ //scan through values to find widest band.
if(d.y > widest){
widest = d.y
}
})
})
//we dont want circles to overlap vertically either so we check to make sure they wont by taking minumum of the
//height of the bars and the width calculated above.
this.radius = Math.min(this.place_scale.rangeBand()/widest * 0.90,
this.yScale(this.bounds[1] - this.groupedData[0].vals[0].dx)) //scale is flipped so this looks wonky.
}
Dot_Plots.prototype.generateDotPlots = function() {
var t = this,
boxWidth = this.place_scale.rangeBand();
//Make a g element for each indivual boxplot to live in.
var groups = this.plot.selectAll(".dot_plot")
.data(this.groupedData, function(d){return d.group})
//remove the groups leaving.
groups.exit()
.remove()
//old groups getting moved/new data.
groups.transition().duration(t.speed)
.attr("transform", function(d) { return "translate(" + t.place_scale(d.group) + "," + 0 + ")"; })
.each(function(d){
var currentGroup = d.group;
var row = d3.select(this).selectAll(".row") //grab our current row
.data(d.vals) //data is in the value element
row.enter().append("g") //drawing new rows
.attr("class", "row")
.attr("transform", function(d) { return "translate(" + (boxWidth/2) + "," + t.yScale(d.x) + ")"; })
.each(function(d){
var totalLength = t.radius*d.length
d3.select(this).selectAll("circle")
.data(d)
.enter().append("circle")
.attr("fill", t.color_scale(currentGroup))
.attr("r", t.radius/2)
.attr("cx", 0)
.attr("cy", -t.radius/2)
.transition().duration(t.speed)
.attr("cx", function(d,i){return -totalLength/2 + (t.radius)*i + t.radius/2})
});
row.transition().duration(t.speed) //updating existing rows of dots.
.attr("transform", function(d) { return "translate(" + (boxWidth/2) + "," + t.yScale(d.x) + ")"; })
.each(function(d){
var totalLength = t.radius*d.length
var dots = d3.select(this).selectAll("circle")
.data(d)
dots.enter().append("circle")
.attr("fill", t.color_scale(currentGroup))
.attr("r", t.radius/2)
.attr("cx", 0)
.attr("cy", -t.radius/2)
.transition().duration(t.speed)
.attr("cx", function(d,i){return -totalLength/2 + (t.radius)*i + t.radius/2})
dots.transition().duration(t.speed)
.attr("fill", t.color_scale(currentGroup))
.attr("r", t.radius/2)
.attr("cy", -t.radius/2)
.attr("cx", function(d,i){return -totalLength/2 + (t.radius)*i + t.radius/2})
dots.exit() //shrink dots to remove.
.transition().duration(t.speed)
.attr("r", 0.00001)
.remove()
});
row.exit()
.each(function(d){
d3.select(this).selectAll("circle")
.transition().duration(t.speed)
.attr("r", 0.000001)
})
.remove()
}); //closes the transition for the current group.
//new groups getting drawn.
groups.enter()
.append("g")
.attr("class", "dot_plot")
.attr("id", function(d){return "group_" + d.group})
.attr("transform", function(d) { return "translate(" + t.place_scale(d.group) + "," + 0 + ")"; })
.each(function(d){
var currentGroup = d.group;
var row = d3.select(this).selectAll(".row") //grab the row of dots (if any)
.data(d.vals) //data is in the value element
row.enter().append("g") //for new rows append a g to hold the dots.
.attr("class", "row")
.attr("transform", function(d) { return "translate(" + (boxWidth/2) + "," + t.yScale(d.x) + ")"; })
.each(function(d){
var totalLength = t.radius*d.length
d3.select(this).selectAll("circle")
.data(d).enter().append("circle")
.attr("fill", t.color_scale(currentGroup))
.attr("r", t.radius/2)
.attr("cx", 0)
.attr("cy", -t.radius/2)
.transition().duration(t.speed)
.attr("cx", function(d,i){return -totalLength/2 + (t.radius)*i + t.radius/2})
});
})
}
Dot_Plots.prototype.addAxes = function(){
var yAxis = d3.svg.axis()
.scale(this.yScale)
.orient("left");
this.plot.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + 0 + ",0)")
.call(yAxis)
.selectAll("text")
.attr("transform", "translate( 4 ," + -6 + ")");
var xAxis = d3.svg.axis()
.scale(this.place_scale)
.orient("bottom");
var placeAxis = this.plot.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + this.height + ")")
.call(xAxis)
placeAxis.select("path") //get rid of the horizontal line
.attr("stroke-width", 0)
placeAxis.selectAll("line") //get rid of the ticks, they look like datapoints
.attr("stroke-width", 0)
placeAxis.selectAll("text")
.attr("font-size", "1.2em")
.attr("font-family", "optima")
}
Dot_Plots.prototype.updateAxes = function(){
//define the two axes
var yAxis = d3.svg.axis()
.scale(this.yScale)
.orient("left");
var xAxis = d3.svg.axis()
.scale(this.place_scale)
.orient("bottom");
//update the x axis
this.plot.select(".y.axis").transition().duration(this.speed)
.call(yAxis)
.selectAll("text")
.attr("transform", "translate( 4 ," + -6 + ")");
var placeAxis = this.plot.select(".x.axis")
.attr("fill-opacity", 0)
.attr("transform", "translate(0," + this.height + ")")
.call(xAxis)
.transition().duration(this.speed)
.attr("fill-opacity", 1)
placeAxis.select("path") //get rid of the horizontal line
.attr("stroke-width", 0)
placeAxis.selectAll("line") //get rid of the ticks, they look like datapoints
.attr("stroke-width", 0)
placeAxis.selectAll("text")
.attr("font-size", "1.2em")
.attr("font-family", "optima")
}
Dot_Plots.prototype.updatePlot = function(){
this.findUniqueGroups(); //find the unique groups we have.
this.createPlaceScale(); //generate the placement scale for groups
this.createYScale(); //Make common y scale
this.seperateGroups(); //Get data into the right form.
this.findRadius(); //figure out how big to make the dots.
this.generateDotPlots(); //convert data to histogram layout
this.updateAxes();
}
Dot_Plots.prototype.setData = function(newData) {
this.data = newData;
this.updatePlot();
}
Dot_Plots.prototype.updateBins = function(bin_number) {
this.bins = bin_number;
this.updatePlot();
}
Dot_Plots.prototype.resize = function() {
//update width and height
this.width = this.element.offsetWidth - (2*this.padding);
this.height = (this.width / 2) - (2*this.padding);
//update the svg with this info.
var svg = d3.select(this.element).select('svg')
.attr('width', this.width + (2*this.padding))
.attr('height', this.height + (2*this.padding));
this.updatePlot();
}
<!-- load in D3 and Chart constructor scripts -->
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
<script src="colorbrewer.min.js"></script>
<script src="dotplots.js"></script>
<style>
.axis path, .tick line {
fill: none;
stroke: #333;
}
</style>
<!-- here's the div our chart will be injected into -->
<div class="chart-container" style="max-width: 1000px;"></div>
<!-- these will be made useful in the script below -->
<button class="data">change data</button>
<button class="Bins_15">Change to 15 rows</button>
<button class="Bins_35">Change to 35 rows</button>
<script>
function generateData(groups){
var data = []
groups.forEach(function(group){
var numberOfValues = 200;
var randomNumbers = d3.range(numberOfValues).map(d3.random.normal())
randomNumbers.forEach( function(num){
data.push( {"group": group, "val": num} )
} )
})
return data;
}
// var data_for_plotting = generateData(["a", "b", "c"])
var data_for_plotting = [generateData(["Birds", "Mammals"]),
generateData(["a"]),
generateData(["a","b", "c", "d", "e"]),
generateData(["a", "b", "c"])
]
//send to plotting function.
var dot_plots = new Dot_Plots({
data: data_for_plotting[0],
element: document.querySelector('.chart-container'),
bins: 35,
})
var updateIndex = 1
// change data on click to something randomly-generated
d3.selectAll('button.data').on('click', function(){
console.log(updateIndex)
dot_plots.setData(data_for_plotting[updateIndex%4]);
updateIndex++
});
d3.select('.Bins_15').on('click', function(){
dot_plots.updateBins(15);
});
d3.select('.Bins_35').on('click', function(){
dot_plots.updateBins(35);
});
// redraw chart on each resize
d3.select(window).on('resize', function(){
dot_plots.resize();
});
</script>
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