Grouped bar chart - transition

forked from romsson's block: Grouped bar chart v4

forked from anonymous's block: Grouped bar chart - transition

<!DOCTYPE html>
<style>
.legend {
            padding: 5px;
            font: 10px sans-serif;
            background: yellow;
            box-shadow: 2px 2px 1px #888;
        }

</style>
<body>
  <label>
  <input type="radio" name="brand" value="Option1" checked="true"/> 
</label>
<label>
  <input type="radio" name="brand" value="Option2" /> 
</label>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
  
   
  var t = d3.transition()
            .duration(750)
            .ease(d3.easeLinear);
    
  var n = 4, // number of samples
    m = 11; // number of series
		
  var is_stacked =true; 
  
  var brands = ['Stacked Mode', 'Bar Mode']
  
  var radios = 
      d3.select('.panel.left').selectAll('input[name="brand"]').data(brands);

var labels = radios.enter()
        .append("label")
        .append("input")

.on('change', function() {
  renderValues(this.value);
})
        .attr("type", "radio")
        .attr("name", "brand")
        .attr("value", function(d) { return d; })
        .attr('checked', function(d) { if (d === brands[0]) { return 'checked' }; });

d3.selectAll("label")
    .data(brands)
    .append("text")
    .text(function(d) { return d; })
  	.style("font-family", "Arial")
    .style("font-size", 12)
  .style("font-weight", "bold");
  
  d3.csv('stocks.csv', function(error, data){
    
    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
    }); 
    })
    
    console.log(dataFormat)
    
    data_stacked = d3.stack().keys(d3.range(m))(dataFormat)
    
    var max = d3.max(data_stacked,function(d,index){ 
    return d[10][0]});
    var max1 = d3.max(data,function(d,index){ 
    return +d.price});

var margin = {top: 20, right: 20, bottom: 20, left: 20},
    width = 960 - margin.left - margin.right,
    height = 460 - margin.top - margin.bottom;

var y = d3.scaleLinear()
    .domain([0, max])
    .rangeRound([height, 0])
		.nice();
    
    var y_bis = d3.scaleLinear()
                .domain([0, max1])
                .rangeRound([height, 0])
                .nice();

var x = d3.scaleBand()
    .rangeRound([0, width])
    .paddingInner(0.05)
    .align(0.1)
    .domain(d3.range(m));

var z = d3.scaleOrdinal()
      .range(["#fe9c23","#d0743c","#a05d56","#6b486b"]);
    
    var color_hash = ["#fe9c23","#d0743c","#a05d56","#6b486b"];
    
    var firms = [{"MSFT":"#fe9c23"},{"AAPL":"#d0743c"},{"IBM":"#a05d56"},{"AMZN":"#6b1644b"}]

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