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visualize2.html
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visualize2.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Your Page Title</title>
<link rel="stylesheet" href="styles.css">
<script src="https://d3js.org/d3.v4.min.js"></script>
</head>
<body>
<div id="my_dataviz"></div>
</body>
<script>
// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 30, left: 60},
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select("#my_dataviz")
.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 + ")");
//Read the data
//d3.csv("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/3_TwoNumOrdered_comma.csv",
d3.csv("https://pinkushn.github.io/pa-evictions/webdata/Lancaster/Lancaster.csv",
// When reading the csv, I must format variables:
function(d){
return { date : d3.timeParse("%Y-%m-%d")(d.date), value : d.value }
},
// Now I can use this dataset:
function(data) {
// Add X axis --> it is a date format
var x = d3.scaleTime()
.domain(d3.extent(data, function(d) { return d.date; }))
.range([ 0, width ]);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add Y axis
var y = d3.scaleLinear()
.domain([0, d3.max(data, function(d) { return +d.value; })])
.range([ height, 0 ]);
svg.append("g")
.call(d3.axisLeft(y));
// Add the line
svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("d", d3.line()
.x(function(d) { return x(d.date) })
.y(function(d) { return y(d.value) })
)
})
</script>
</html>