barchart

<!DOCTYPE html>
<style>
</style>
<body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
    
  d3.csv('stocks.csv', function(error, data){
   
    var n = 4, // number of samples
    m = 11; // number of series

data.forEach(function(d) {
      d.price = +d.price
      d.date = d.date.slice(-4)
      ;})
          
    var data_reshaped = d3.nest()
    .key(function(d) {return d.date;})  
    .sortKeys(d3.ascending)
    .key(function(d) {return d.symbol;}) 
    .rollup(function(d) { 
      return {
        avg_stock_value:d3.mean(d,function(g) {
          return +g.price})   
    }})
    .entries(data);
    
    dataFormat = d3.range(m).map(function(index) {
    return d3.range(n).map(function(i) {
      return Math.round(data_reshaped[index].values[i].value.avg_stock_value*10)/10
    }); 
    })
    data_stacked = d3.stack().keys(d3.range(m))(dataFormat)
    
    var max = d3.max(data,function(d,index){ 
    return +d.price})

var margin = {top: 10, right: 10, bottom: 10, left: 10},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var y = d3.scaleLinear()
    .domain([0, max])
    .range([0,height]);

var x0 = d3.scaleBand()
    .range([0, width])
    .domain(d3.range(m));
        
    var x1 = d3.scaleBand()
    .domain(d3.range(n))
    .range([0, x0.bandwidth()]);

var z = d3.scaleOrdinal()
      .range(["#fe9c23","#d0743c","#a05d56","#6b486b"]);

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 + ")");

</script>

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