Step08 Neurohackweek

<!DOCTYPE html>
<html lang="en">

<head>
    <title> Neurohackweek 2017 D3 Tutorial </title>
    
    <style>

</style>

</head>

<body>

<h3> Below is a scatter plot: </h3>
    <svg id="scatterArea"></svg>

</body>

<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.10.0/d3.min.js"></script>
  <script>

function renderAxes(data){
      //define margins on the plot -- this will give room for axes labels, titles
      var margin = {top: 20, right: 20, bottom: 30, left: 60}

// total dimensions are 500x300
      var width = 500 - margin.left - margin.right
      var height = 300 - margin.top - margin.bottom

// data struct -> x value
    var xValue = function(d) { return d.x;}
    var yValue = function(d) { return d.y;}

// value -> display
    xScale = d3.scaleLinear().range([0, width])
    yScale = d3.scaleLinear().range([height, 0]),
    // in SVG, y=0 is at the top, so we switch the order

// now the range [0, width] maps to [0, max(data)]
    xScale.domain([d3.min(data, xValue), d3.max(data, xValue)])
    yScale.domain([d3.min(data, xValue), d3.max(data, yValue)])

var svg = d3.select("#scatterArea")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
    .append("g")
        .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

xAxis = d3.axisBottom(xScale) //axis object
    yAxis = d3.axisLeft(yScale)

// x-axis
    svg.append("g")
     .attr("class", "x axis")
     //take X to bottom of SVG
     .attr("transform", "translate(0," + height + ")")
     .call(xAxis)

// y-axis
    svg.append("g")
     .attr("class", "y axis")
     .call(yAxis)

}

var scatterData = [
    {x: 0.5, y: 20},
    {x: 2.1, y: 12},
    {x: 1.4, y: 5.2},
    {x: 2.9, y: 9.6}
]

renderAxes(scatterData)

</script>

</html>

https://cdnjs.cloudflare.com/ajax/libs/d3/4.10.0/d3.min.js