li01012/.block

## .block
license: mit

## README.md

      
    Raw
  

              README.md
            
          
    Built with blockbuilder.org

  
## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<title>Cancer Incident Average In state of Texas</title>

<style>
.line {
  fill: none;
  stroke: black;
  stroke-width: 1px;
}
</style>


<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://d3js.org/topojson.v2.min.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<body>
<div class="info" style="position: absolute; top: 20px; left: 500px;"></div>
<script>
var width = 960;
var height = 500;
// Set the map projection centered on Texas
var projection = d3.geoMercator()
    .scale(2000)
    .center([-98.90, 31.96]);
var path = d3.geoPath()
    .pointRadius(1)
    .projection(projection);
    //projection.fitSize([width, height], object);
var svg = d3.select("body").append("svg")
    .attr("width", width)
    .attr("height", height);

// Threshold colors scale
var threshold = d3.scaleThreshold()
    .domain([1, 10, 50, 200, 800, 2000, 5000, 10000])
    .range(d3.schemeOrRd[9]);

// Set the variables containing URLs for the data
  var url = "https://raw.githubusercontent.com/TNRIS/tx.geojson/master/counties/tx_counties.geojson";
  var TEX = "https://raw.githubusercontent.com/li01012/classes/master/Project/Final_Texas_Data.csv";
// NEW: Load the data with d3.queue()
	d3.queue()
    .defer(d3.json, url)
    .defer(d3.csv, TEX)
    .await(ready);

// NEW: processing both data sources in the single function "ready"
	function ready(error, tx, csv) {
  if (error) console.log(error);

// Look at these in the developer console
  console.log("csv[0]", csv[0])
  console.log("tx.features", tx.features[0])

// Create a d3.map() that will be used to query CSV data by county FIPS
  var data = d3.map();
  csv.forEach(function(d) { data.set(d.FIPS, d)})

  svg.append("g").selectAll("path")
      .data( tx.features )
    .enter().append("path")
      .attr("d", path)
      .attr("class", "county")
      .attr("stroke", "black")
      .attr("stroke-width", 1)
// Mouseover function
    .on('mouseover', function(d, i) {
        d3.select(this).attr('stroke-width', 2).raise()
        d3.select(".info").html("<br>County Name: "+ d.properties.COUNTY
                              + "<br>Population Density: "
                             + d3.format(",d")(data.get(d.properties.FIPS).POP_2016)+ "<br>Cancer-Incident Rate: " + d3.format(",d")(data.get(d.properties.FIPS).Average_An))
      })
     .on('mouseout', function(d) {
        d3.select(".info").html("")
       d3.select(this).attr('stroke-width', 0.5)
     })
 //function for Threshold
      .style("fill", function(d) { return threshold(data.get(d.properties.FIPS).Average_An); });

  addLegend();

}


function addLegend() {
  var formatNumber = d3.format("d");
  var x = d3.scalePow().exponent('.15')
      .domain([1, 80000])
      .range([0, 300]);
  var xAxis = d3.axisBottom(x)
      .tickSize(13)
      .tickValues(threshold.domain())
  		.tickFormat(formatNumber)
  var g = svg.append("g")
      .attr('transform', 'translate(3, 50)')
      .call(xAxis);
  g.select(".domain")
      .remove();
  g.selectAll("rect")
    .data(threshold.range().map(function(color) {
      var d = threshold.invertExtent(color);
      if (d[0] == null) d[0] = x.domain()[0];
      if (d[1] == null) d[1] = x.domain()[1];
      return d;
    }))
    .enter().insert("rect", ".tick")
      .attr("height", 12)
      .attr("x", function(d) { return x(d[0]); })
      .attr("width", function(d) { return x(d[1]) - x(d[0]); })
      .attr("fill", function(d) { return threshold(d[0]); });
  g.append("text")
      .attr("fill", "#000")
      .attr("font-weight", "bold")
      .attr("text-anchor", "start")
      .attr("y", -6)
      .text("Rate of Cancer Incidents");

}
function mousemoved() {
  info.text(formatLocation(projection.invert(d3.mouse(this)), projection.scale()));

}
function formatLocation(p, k) {
  var format = d3.format("." + Math.floor(Math.log(k) / 2 - 2) + "f");
  return (p[1] < 0 ? format(-p[1]) + "°S" : format(p[1]) + "°N") + " "
       + (p[0] < 0 ? format(-p[0]) + "°W" : format(p[0]) + "°E");
}
</script>
	<!DOCTYPE html>
	<meta charset="utf-8">
	<title>Cancer Incident Average In state of Texas</title>

	<style>
	.line {
	fill: none;
	stroke: black;
	stroke-width: 1px;
	}
	</style>


	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script src="https://d3js.org/topojson.v2.min.js"></script>
	<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
	<body>
	<div class="info" style="position: absolute; top: 20px; left: 500px;"></div>
	<script>
	var width = 960;
	var height = 500;
	// Set the map projection centered on Texas
	var projection = d3.geoMercator()
	.scale(2000)
	.center([-98.90, 31.96]);
	var path = d3.geoPath()
	.pointRadius(1)
	.projection(projection);
	//projection.fitSize([width, height], object);
	var svg = d3.select("body").append("svg")
	.attr("width", width)
	.attr("height", height);

	// Threshold colors scale
	var threshold = d3.scaleThreshold()
	.domain([1, 10, 50, 200, 800, 2000, 5000, 10000])
	.range(d3.schemeOrRd[9]);

	// Set the variables containing URLs for the data
	var url = "https://raw.githubusercontent.com/TNRIS/tx.geojson/master/counties/tx_counties.geojson";
	var TEX = "https://raw.githubusercontent.com/li01012/classes/master/Project/Final_Texas_Data.csv";
	// NEW: Load the data with d3.queue()
	d3.queue()
	.defer(d3.json, url)
	.defer(d3.csv, TEX)
	.await(ready);

	// NEW: processing both data sources in the single function "ready"
	function ready(error, tx, csv) {
	if (error) console.log(error);

	// Look at these in the developer console
	console.log("csv[0]", csv[0])
	console.log("tx.features", tx.features[0])

	// Create a d3.map() that will be used to query CSV data by county FIPS
	var data = d3.map();
	csv.forEach(function(d) { data.set(d.FIPS, d)})

	svg.append("g").selectAll("path")
	.data( tx.features )
	.enter().append("path")
	.attr("d", path)
	.attr("class", "county")
	.attr("stroke", "black")
	.attr("stroke-width", 1)
	// Mouseover function
	.on('mouseover', function(d, i) {
	d3.select(this).attr('stroke-width', 2).raise()
	d3.select(".info").html("<br>County Name: "+ d.properties.COUNTY
	+ "<br>Population Density: "
	+ d3.format(",d")(data.get(d.properties.FIPS).POP_2016)+ "<br>Cancer-Incident Rate: " + d3.format(",d")(data.get(d.properties.FIPS).Average_An))
	})
	.on('mouseout', function(d) {
	d3.select(".info").html("")
	d3.select(this).attr('stroke-width', 0.5)
	})
	//function for Threshold
	.style("fill", function(d) { return threshold(data.get(d.properties.FIPS).Average_An); });

	addLegend();

	}


	function addLegend() {
	var formatNumber = d3.format("d");
	var x = d3.scalePow().exponent('.15')
	.domain([1, 80000])
	.range([0, 300]);
	var xAxis = d3.axisBottom(x)
	.tickSize(13)
	.tickValues(threshold.domain())
	.tickFormat(formatNumber)
	var g = svg.append("g")
	.attr('transform', 'translate(3, 50)')
	.call(xAxis);
	g.select(".domain")
	.remove();
	g.selectAll("rect")
	.data(threshold.range().map(function(color) {
	var d = threshold.invertExtent(color);
	if (d[0] == null) d[0] = x.domain()[0];
	if (d[1] == null) d[1] = x.domain()[1];
	return d;
	}))
	.enter().insert("rect", ".tick")
	.attr("height", 12)
	.attr("x", function(d) { return x(d[0]); })
	.attr("width", function(d) { return x(d[1]) - x(d[0]); })
	.attr("fill", function(d) { return threshold(d[0]); });
	g.append("text")
	.attr("fill", "#000")
	.attr("font-weight", "bold")
	.attr("text-anchor", "start")
	.attr("y", -6)
	.text("Rate of Cancer Incidents");

	}
	function mousemoved() {
	info.text(formatLocation(projection.invert(d3.mouse(this)), projection.scale()));

	}
	function formatLocation(p, k) {
	var format = d3.format("." + Math.floor(Math.log(k) / 2 - 2) + "f");
	return (p[1] < 0 ? format(-p[1]) + "°S" : format(p[1]) + "°N") + " "
	+ (p[0] < 0 ? format(-p[0]) + "°W" : format(p[0]) + "°E");
	}
	</script>