Built with blockbuilder.org
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<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v4.min.js"></script>
<style>
body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
</style>
</head>
<body>
<script>
// Margin setup
var margin = {top: 20, right: 20, bottom: 20, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// Basic SVG canvas
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 + ")");
//mappings
var symb={'setosa':d3.symbolCross,'versicolor':d3.symbolStar,'virginica':d3.symbolWye}
var col={'setosa':'red','versicolor':'yellow','virginica':'orange'}
//data
d3.csv('iris.csv', function(error,data){
data.forEach(function(d) {
d.sepal_length = +d.sepal_length;
d.sepal_width = +d.sepal_width;});
//scales
var x = d3.scaleLinear()
.range([0,width])
.domain(d3.extent(data, function(d) { return d.sepal_length; }));
var y = d3.scaleLinear()
.range([height,0])
.domain([0, d3.max(data, function(d) { return d.sepal_width; })]);
//axis
var xAxis = d3.axisBottom(x)
var yAxis = d3.axisLeft(y)
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")
//line
var trend=trend_line(data);
var line = d3.line()
.x(function(d) {
return x(d.x);
})
.y(function(d) {
return y(d.yhat);
});
svg.append("path")
.datum(trend)
.attr("class", "line")
.attr("d", line)
.style("stroke-width",2)
.style('stroke','green');
var paths=svg.selectAll('path').data(data)
.enter()
.append('path')
.attr('class','symbol')
.attr("d", d3.symbol().type(function(d){return symb[d.species] }))
.attr("transform", function(d) { return "translate(" + x(d.sepal_length) + ",+" + y(d.sepal_width) + ")";})
.style('fill',function(d) {return col[d.species]});
})
function trend_line(data) {
var x = [];
var y = [];
data.map(function(d) {
x.push(d.sepal_length);
y.push(d.sepal_width);
});
var n = x.length;
var x_mean = 0;
var y_mean = 0;
var term1 = 0;
var term2 = 0;
// compute means
for (var i = 0; i < n; i++) {
x_mean += x[i]
y_mean += y[i]
}
// calculate mean x and y
x_mean /= n;
y_mean /= n;
// calculate coefficients
var xr = 0;
var yr = 0;
for (i = 0; i < x.length; i++) {
xr = x[i] - x_mean;
yr = y[i] - y_mean;
term1 += xr * yr;
term2 += xr * xr;
}
var b1 = term1 / term2;
var b0 = y_mean - (b1 * x_mean);
// perform regression
yhat = [];
// fit line using coeffs
for (i = 0; i < x.length; i++) {
yhat.push(b0 + (x[i] * b1));
}
var data = [];
for (i = 0; i < y.length; i++) {
data.push(
{"yhat": yhat[i],
"x": x[i]
})
}
return (data);
};
</script>
</body>
https://d3js.org/d3.v4.min.js