jmuyskens · March 1, 2017 06:55
diff --git a/.block b/.block
 license: mit
diff --git a/README.md b/README.md
diff --git a/data.csv b/data.csv
diff --git a/index.html b/index.html
 <!DOCTYPE html>
 <meta charset="utf-8">
 <head>
 	<title>Transforming data</title>
 </head>

 <style>
 	body {
 		font-family: "Helvetica Neue", Helvetica, sans-serif;
 		font-size: 14px;
 	}
 	path {
    fill: none;
    stroke: #aaa;
  }
  .line {
    stroke-width:2px;
  }
  .line.lion{
    stroke:red;
  }
  .line.dog{
    stroke:gold;
  }
  .line.tiger{
    stroke:orange;
  }

 </style>

 <body>
  <svg width="800" height="100">
 		<path/>
 	</svg>
  
 	<script src="http://d3js.org/d3.v4.min.js"></script>
  
 	<script src="script.js"></script>
  
  <script>
    d3.csv("realdonaldtrump2017.csv", function(error, data) {
      if (error) throw error;
      lineChart(data);
    });
  </script>
 </body>
 </html>
diff --git a/realdonaldtrump2017.csv b/realdonaldtrump2017.csv
diff --git a/script.js b/script.js
 var parseTime = d3.timeParse('%a %b %d %H:%M:%S +0000 %Y');
 var formatTime = d3.timeFormat('%Y-%m-%d');
 var parseFormattedTime = d3.timeParse('%Y-%m-%d');

 var lineChart = function(data){
  // set the dimensions and margins of the graph
  var margin = {top: 20, right: 20, bottom: 60, left: 50},
      width = 500 - margin.left - margin.right,
      height = 500 - margin.top - margin.bottom;
  
  var nestedData = d3.nest()
  	.key(function(d) { return d.source; })
    .key(function(d) { return formatTime(parseTime(d.created_at)); })
    .sortKeys(d3.ascending)
    .rollup(function(values) { return values.length; })
    .entries(data);
  
  console.log(nestedData);

  // set the ranges
  var x = d3.scaleTime().range([0, width]);
  var y = d3.scaleLinear().range([height, 0]);

  // define the line
  var line = d3.line()
   .x(function(d) { return x(parseFormattedTime(d.key)); })
   .y(function(d) { return y(d.value); });

  //add a new svg to hold the chart
  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 + ")");

  // Scale the range of the data
  x.domain(d3.extent(data, function(d) { return parseTime(d.created_at); }));
  y.domain([0, 13]);
  
  // Add the line path
  svg.selectAll("path")
    .data(nestedData)
  	.enter().append('path')
    .attr("class", "line")
    .attr("d", function(d) { return line(d.values); });

  // Add the X Axis
  svg.append("g")
    .attr("transform", "translate(0," + height + ")")
    .call(d3.axisBottom(x));

  // Add the Y Axis
  svg.append("g")
    .call(d3.axisLeft(y));
 };
page	lion	dog	tiger
1	1	0	0
2	2	2	0
3	3	3	0
4	3	4	0
5	3	4	0
6	3	4	0
7	3	4	5
8	3	4	5
9	3	4	5
10	3	4	7
11	7	7	7
12	7	7	7
13	8	8	9
14	8	8	9
15	9	9	9
16	10	10	10
17	10	10	10
	<!DOCTYPE html>
	<meta charset="utf-8">
	<head>
	<title>Transforming data</title>
	</head>

	<style>
	body {
	font-family: "Helvetica Neue", Helvetica, sans-serif;
	font-size: 14px;
	}
	path {
	fill: none;
	stroke: #aaa;
	}
	.line {
	stroke-width:2px;
	}
	.line.lion{
	stroke:red;
	}
	.line.dog{
	stroke:gold;
	}
	.line.tiger{
	stroke:orange;
	}

	</style>

	<body>
	<svg width="800" height="100">
	<path/>
	</svg>

	<script src="http://d3js.org/d3.v4.min.js"></script>

	<script src="script.js"></script>

	<script>
	d3.csv("realdonaldtrump2017.csv", function(error, data) {
	if (error) throw error;
	lineChart(data);
	});
	</script>
	</body>
	</html>
	var parseTime = d3.timeParse('%a %b %d %H:%M:%S +0000 %Y');
	var formatTime = d3.timeFormat('%Y-%m-%d');
	var parseFormattedTime = d3.timeParse('%Y-%m-%d');

	var lineChart = function(data){
	// set the dimensions and margins of the graph
	var margin = {top: 20, right: 20, bottom: 60, left: 50},
	width = 500 - margin.left - margin.right,
	height = 500 - margin.top - margin.bottom;

	var nestedData = d3.nest()
	.key(function(d) { return d.source; })
	.key(function(d) { return formatTime(parseTime(d.created_at)); })
	.sortKeys(d3.ascending)
	.rollup(function(values) { return values.length; })
	.entries(data);

	console.log(nestedData);

	// set the ranges
	var x = d3.scaleTime().range([0, width]);
	var y = d3.scaleLinear().range([height, 0]);

	// define the line
	var line = d3.line()
	.x(function(d) { return x(parseFormattedTime(d.key)); })
	.y(function(d) { return y(d.value); });

	//add a new svg to hold the chart
	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 + ")");

	// Scale the range of the data
	x.domain(d3.extent(data, function(d) { return parseTime(d.created_at); }));
	y.domain([0, 13]);

	// Add the line path
	svg.selectAll("path")
	.data(nestedData)
	.enter().append('path')
	.attr("class", "line")
	.attr("d", function(d) { return line(d.values); });

	// Add the X Axis
	svg.append("g")
	.attr("transform", "translate(0," + height + ")")
	.call(d3.axisBottom(x));

	// Add the Y Axis
	svg.append("g")
	.call(d3.axisLeft(y));
	};