Built with blockbuilder.org
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<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v3.min.js"></script>
<style>
body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
.dot{
stroke: #FFF;
}
graph
{
margin: auto;
}
.axis path,
.axis line {
fill: none;
stroke: black;
shape-rendering: crispEdges;
}
.axis text {
font-family: sans-serif;
font-size: 11px;
}
.tick line
{
stroke: #59ADEB;
opacity: 0.5;
}
g path.domain
{
stroke: #4F4F4F;
}
</style>
</head>
<body>
<div id="graph"></div>
<script>
// Set graph
var width = 900,
height = 700,
padding = 50;
// create an svg container
var vis = d3.select("#graph")
.append("svg:svg")
.attr("width", width)
.attr("height", height);
/*
//Loading the CSV file
d3.csv("cereal.csv",function(error,data){
data.forEach(function(d){
d.Calories = +d.Calories;
d["Protein (g)"] = +d["Protein (g)"];
})
//drawing the dots
d3.select("body").append("svg")
.selectAll(".dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx",xScale)
.attr("cy",yScale)
.style("fill","black")
});
*/
var xScale = d3.scale.linear().domain([1, -1]).range([width - padding, padding]);
var yScale = d3.scale.linear().domain([-1, 1]).range([height - padding, padding]);
// define the y axis
var yAxis = d3.svg.axis()
.orient("left")
.scale(yScale);
// define the y axis
var xAxis = d3.svg.axis()
.orient("bottom")
.scale(xScale);
var xAxisPlot = vis.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + (height/2) + ")")
.call(xAxis.tickSize(-height, 0, 0));
var yAxisPlot = vis.append("g")
.attr("class", "axis axis--y")
.attr("transform", "translate("+ (width/2) +",0)")
.call(yAxis.tickSize(-width, 0, 0));
xAxisPlot.selectAll(".tick line")
.attr("y1", (width - (2*padding))/2 * -1)
.attr("y2", (width - (2*padding))/2 * 1);
yAxisPlot.selectAll(".tick line")
.attr("x1", (width - (2*padding))/2 * -1)
.attr("x2", (width - (2*padding))/2 * 1);
</script>
</body>
https://d3js.org/d3.v3.min.js