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happiness.html
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happiness.html
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<html>
<script src='https://d3js.org/d3.v5.min.js'></script>
<link href="https://fonts.googleapis.com/css2?family=B612&display=swap" rel="stylesheet">
<style type="text/css">
/* Style for Custom Tooltip */
*{
font-family: 'B612', sans-serif;
color: #fff;
}
body {
background-image: url('./binding_dark.png');
}
div.tooltip {
position: absolute;
line-height: 1;
padding: 12px;
background: rgba(43,43,43, 0.8);
color: #fff;
border-radius: 2px;
}
.states:hover{
opacity:0.7;
}
.points{
fill:#c94f4f;
}
#buttons{
overflow: hidden;
background-color: #444;
display: flex;
justify-content: space-between;
}
#buttons a {
float: left;
color: #f2f2f2;
text-align: center;
padding: 14px 16px;
text-decoration: none;
font-size: 17px;
width: 12%;
}
#buttons a:hover {
background-color: #ddd;
color: black;
}
#conclusion {
height: 50px;
}
</style>
<body>
<div id="intro">
<h1>
Covid-19 Analysis
</h1>
<p>
Here we are exploring happiness scores. The scatter plot below shows happiness scores against number of cases divided by total population for each state as of 15/06/2020.
Using cases over population gives a better understanding of how the state is doing overall at handling the spread.
For the remainder of this website, you can hover over a circle to get more information on what it represents.
</p>
</div>
</div>
<div id="chart"></div>
<div id="conclusion">
<p>
We can see from the graph above that there does not seem to be any strong correlation between happiness and cases.
Let's look at a more specific social factor next.
</p>
</div>
<div id="buttons">
<a href="./index.html">Prev</a>
<a href="./index.html">1</a>
<a href="./happiness.html">2</a>
<a href="./emotional.html">3</a>
<a href="./work.html">4</a>
<a href="./community.html">5</a>
<a href="./emotional.html">Next</a>
</div>
<script>
//http://bl.ocks.org/michellechandra/0b2ce4923dc9b5809922
var width = 960;
var height = 500;
// D3 Projection
var projection = d3.geoAlbersUsa()
.translate([width/2, height/2]) // translate to center of screen
.scale([1000]); // scale things down so see entire US
// Define path generator
var path = d3.geoPath() // path generator that will convert GeoJSON to SVG paths
.projection(projection); // tell path generator to use albersUsa projection
// Define linear scale for output
var color = d3.scaleLinear()
.domain([25,75])
.range(["rgb(230, 255, 230)","rgb(0, 204, 0)"]);
//Create SVG element and append map to the SVG
var svg = d3.select("#map")
.append("svg")
.attr("width", width)
.attr("height", height);
// Append Div for tooltip to SVG
var div = d3.select("#chart")
.append("div")
.attr("class", "tooltip")
.style("opacity", 0);
// create scatter plot
var scatterPlot = d3.select("#chart")
.append("svg")
.attr("width", "100%")
.attr("height", "600")
.append("g")
.attr("transform", "translate(300,50)");
var log= d3.scaleLog().domain([500,400000]);
var xs = d3.scaleLinear().domain([30,70]).range([0,550]);
var ys = d3.scaleLinear().domain([0.0002,0.02]).range([450,0]);
var names = {};
d3.csv("https://raw.githubusercontent.com/ShyamShah11/UIUC-Work/master/Data%20Visualization/Dashboard/us-states-full.csv").then(function(data){
d3.json("https://raw.githubusercontent.com/ShyamShah11/ShyamShah11.github.io/master/gz_2010_us_040_00_500k.json").then(function(json) {
for (var i = 0; i < data.length ; i++) {
if (data[i].date== "15/06/2020"){ // This is the latest date in my data
var dataState = data[i].state;
var dataHappiness = data[i].happiness_score;
var dataCases = data[i].cases_pop;
for (var j = 0; j < json.features.length; j++) {
// get information for map
var jsonState = json.features[j].properties.NAME;
if (dataState==jsonState){
json.features[j].properties.happiness_score = dataHappiness;
json.features[j].properties.cases = dataCases;
break;
}
}
}
}
// create scatter plot
scatterPlot.selectAll("circle")
.data(json.features)
.enter()
.append("circle")
.attr("class", "points")
.attr("cx", function(d){if (d.properties.cases != undefined) return xs(d.properties.happiness_score);})
.attr("cy", function(d){if (d.properties.cases != undefined) return ys(d.properties.cases);})
.attr("r", 8)
.attr("display", function(d) {if (d.properties.cases == undefined) return "none";})
.on("mouseover", function(d) {
div.transition()
.duration(200)
.style("opacity", .9);
div.html(d.properties.NAME + "<br> Happiness Score: " + d.properties.happiness_score +"<br> Percentage: " + parseFloat(d.properties.cases).toFixed(4)+"%")
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mousemove", function(d){
div.style("left", (d3.event.pageX + 14) + "px")
.style("top", (d3.event.pageY- 14) + "px");
})
.on("mouseout", function(d) {
div.transition()
.duration(500)
.style("opacity", 0);
});
})
.catch(function(error){
console.log("There was an error loading the chart");
})
// add x axis
d3.select("svg")
.append("g")
.attr("transform", "translate(300,500)")
.attr("fill", "none")
.attr("font-size", 10)
.attr("font-family", "sans-serif")
.attr("text-anchor", "end")
.call(d3.axisBottom(xs));
// x axis label
d3.select("svg").append("text")
.attr("class", "x label")
.attr("text-anchor", "end")
.attr("x", 600)
.attr("y", 550)
.attr("fill", "#ffffff")
.text("Happiness Score");
// add y axis
d3.select("svg")
.append("g")
.attr("transform", "translate(300,50)")
.attr("fill", "none")
.attr("font-size", 10)
.attr("font-family", "sans-serif")
.attr("text-anchor", "end")
.call(d3.axisLeft(ys));
// y axis label
d3.select("svg").append("text")
.attr("class", "y label")
.attr("text-anchor", "end")
.attr("x", -250)
.attr("y", 220)
.attr("fill", "#ffffff")
.attr("dy", ".75em")
.attr("transform", "rotate(-90)")
.text("Cases/Population");
// add annotation
d3.select("svg").append("text")
.attr("x", 300)
.attr("y", 40)
.attr("fill", "#ffffff")
.style("font-size", "14px")
.text("Harder hit states are near the middle in happiness");
d3.select("svg").append("circle")
.attr("cx",650)
.attr("cy",130)
.attr("r", 110)
.attr("stroke", "#ffffff")
.attr("stroke-dasharray", "4")
.attr("fill", "none");
d3.select("svg").append("line")
.attr("x1",500)
.attr("y1", 45)
.attr("x2", 550)
.attr("y2", 80)
.attr("stroke", "#ffffff");
//add second annotation
d3.select("svg").append("text")
.attr("x", 850)
.attr("y", 400)
.attr("fill", "#ffffff")
.style("font-size", "14px")
.text("Rest of the states are distributed");
d3.select("svg").append("rect")
.attr("x",310)
.attr("y",250)
.attr("width", 510)
.attr("height", 260)
.attr("fill", "none")
.attr("stroke-dasharray", "4")
.attr("stroke", "#ffffff");
});
</script>
</body>
</html>