pierreelliott/.block

## .block
license: mit

## README.md

      
    Raw
  

              README.md
            
          
    Built with blockbuilder.org
forked from aurelient's block: barchart_letters

  
## index.html
<!DOCTYPE html>
<head>

  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v5.min.js"></script>

  <style>
    h1 {
      margin: 0px 0px 15px 20px;
      font-family: 'Arial';
    }

    .bar {
      fill: steelblue;
    }

    .bar:hover {
      fill: blue;
    }

    .label {
      fill: black;
      font: 10px sans-serif;
    }

    .y path, .y stroke, .y line {
      display: none;
    }

    .x path, .x stroke {
      display: none;
    }

  </style>

</head>
<h1>Frequency of Letters Used in the English Language</h1>
<body>

  <script>

    var margin = {
        top: 20,
        right: 20,
        bottom: 30,
        left: 40
      };
    var width = 960 - margin.left - margin.right;
    var height = 700 - margin.top - margin.bottom;

    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 + ")");

    var x = d3.scaleLinear()
          .range([0, width]);

    var y = d3.scaleBand()
        .range([0, height]);

    var xAxis = d3.axisTop(x)
        .ticks(10, "%");

    var yAxis = d3.axisLeft(y);

    d3.csv("data.csv").then(function(data) {
      console.log(data);

			var maxFrequency = d3.max(data, function(d) { return d.frequency; });
      x.domain([0, maxFrequency]);

      y.domain(data.map(function(d) { return d.letter; }))
        .paddingInner(0.1);


      svg.append("g")
          .attr("class", "x axis")
          .attr("transform", "translate(0," + -2 + ")")
          .call(xAxis);

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

      svg.selectAll(".bar")
          .data(data)
        .enter().append("rect")
          .attr("class", "bar")
          .attr("x", 0)
          .attr("height", y.bandwidth())
          .attr("y", function(d) { return y(d.letter); })
          .attr("width", function(d) { return x(d.frequency); });

    });

  </script>
	<!DOCTYPE html>
	<head>

	<meta charset="utf-8">
	<script src="https://d3js.org/d3.v5.min.js"></script>

	<style>
	h1 {
	margin: 0px 0px 15px 20px;
	font-family: 'Arial';
	}

	.bar {
	fill: steelblue;
	}

	.bar:hover {
	fill: blue;
	}

	.label {
	fill: black;
	font: 10px sans-serif;
	}

	.y path, .y stroke, .y line {
	display: none;
	}

	.x path, .x stroke {
	display: none;
	}

	</style>

	</head>
	<h1>Frequency of Letters Used in the English Language</h1>
	<body>

	<script>

	var margin = {
	top: 20,
	right: 20,
	bottom: 30,
	left: 40
	};
	var width = 960 - margin.left - margin.right;
	var height = 700 - margin.top - margin.bottom;

	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 + ")");

	var x = d3.scaleLinear()
	.range([0, width]);

	var y = d3.scaleBand()
	.range([0, height]);

	var xAxis = d3.axisTop(x)
	.ticks(10, "%");

	var yAxis = d3.axisLeft(y);

	d3.csv("data.csv").then(function(data) {
	console.log(data);

	var maxFrequency = d3.max(data, function(d) { return d.frequency; });
	x.domain([0, maxFrequency]);

	y.domain(data.map(function(d) { return d.letter; }))
	.paddingInner(0.1);


	svg.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + -2 + ")")
	.call(xAxis);

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

	svg.selectAll(".bar")
	.data(data)
	.enter().append("rect")
	.attr("class", "bar")
	.attr("x", 0)
	.attr("height", y.bandwidth())
	.attr("y", function(d) { return y(d.letter); })
	.attr("width", function(d) { return x(d.frequency); });

	});

	</script>