d3 scatterplots for breast cancer and iris datasets

<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width">
    <script src="https://d3js.org/d3.v4.min.js"></script>
    <title>Basic Scatter Plot</title>
    <style>
    #svg2 {
        float: right;
	border: 1px solid black;
    }
    #svg1 {
	border: 1px solid black;
	}
    </style>
  </head>
  <body>
    <svg id="svg1" width="600" height="300"></svg>
    <svg id="svg2" width="600" height="300"></svg>
    <script>
	
      const svg = d3.select('#svg1');
      const svg2 = d3.select('#svg2');
      // capture width and height of the svg
      const width = svg.attr('width'); 
      const height = svg.attr('height');
	
	// create a margin object with left, right, top and bottom attributes
      const margin = { left: 20, right: 20, top: 20, bottom: 20 };
	// use the margin object to create compressed width & height of g elements. 
      const innerWidth = width - margin.left - margin.right
      const innerHeight = height - margin.top - margin.bottom
     
       // define x-axis and y-axis values for both scatterplots
      const xValue = d => d.Age;
      const yValue = d => d.Nodes;
      const x2Value = d => d.sepalLength;
      const y2Value = d => d.petalLength;
	
      const xScale = d3.scaleLinear();
      const yScale = d3.scaleLinear();
	    
	// Create g elements inside svgs and shift them 20px inside from left and top. 
      const g = svg.append('g')
            .attr('transform', `translate(${margin.left}, ${margin.top})`);
      const g2 = svg2.append('g')
            .attr('transform', `translate(${margin.left}, ${margin.top})`);
	// Make sure datasets have numeric values
      const row = d => {
        d.Age = +d.Age;
        d.Nodes = +d.Nodes;
        d.Status = +d.Status
        return d;
      };
      const row2 = d => {
        d.petalLength = +d.petalLength;
        d.petalWidth = +d.petalWidth;
        d.sepalLength = +d.sepalLength;
        d.sepalWidth = +d.sepalWidth;
		console.log(d);
        return d;
      };

d3.csv('haberman.csv', row, data => {
	// for scatterplot scales, we use g elements width and height & forget about svg element attributes
        xScale
          .domain(d3.extent(data, xValue))
          .range([0, innerWidth]);

yScale
          .domain(d3.extent(data, yValue))
          .range([innerHeight, 0]);

g.selectAll('circle').data(data)
          .enter().append('circle')
            .attr('cx', d => xScale(xValue(d)))
            .attr('cy', d => yScale(yValue(d)))
            .attr('r', 5)
            .attr('opacity', 0.6)
            .attr('fill', function(d) {
                if (d.Status == 1) {
                    return "green";
                }
                else return "red";
            });
      });

d3.csv('iris.csv', row2, data2 => {
        xScale
          .domain(d3.extent(data2, x2Value))
          .range([0, innerWidth]);

yScale
          .domain(d3.extent(data2, y2Value))
          .range([innerHeight, 0]);

g2.selectAll('circle').data(data2)
          .enter().append('circle')
            .attr('cx', d => xScale(x2Value(d)))
            .attr('cy', d => yScale(y2Value(d)))
			.attr('fill', function(d){
				if (d.species=="Iris-setosa"){
					return "green";
				}
				else if(d.species=="Iris-versicolor"){
					return "purple";
				}
				else { return "orange";}
			})
            .attr('r', 5);
	
      });
    </script>
  </body>
</html>

https://d3js.org/d3.v4.min.js