Add VT2-examples: all 6 chapters of 'Visualize This' (110 files) — data scraping, ETL, trends, categorical, multivariate, spatial, distribution analysis

VT2-examples/vt2-ch6-codedata-dir/web/bubbleplot/js/bubbleplot.js

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+// Dimensions of chart.
+let margin = { top: 20, right: 30, bottom: 50, left: 55 },
+    // width = parseInt(d3.select('#chart').style('width'), 10) - margin.left - margin.right,
+    width = 600 - margin.left - margin.right,
+    // height = width/.8 - margin.top - margin.bottom;
+    height = width - margin.top - margin.bottom;
+    
+let svg = d3.select("#chart").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 + ")");
+    
+// Scales: x and y and r
+let x = d3.scaleLinear()
+    // .domain([3, 6])
+    .domain([4, 6])
+	.range([0, width]);
+let y = d3.scaleLinear()
+    // .domain([2, 6])
+    .domain([3, 6])
+	.range([height, 0]);
+let r = d3.scaleSqrt()
+    .domain([0, 10])
+    .range([0, 25]);
+
+// Point color
+let ptcolor = "#5a8171";
+
+
+
+// x-axis
+let xAxis = d3.axisBottom(x)
+    // .ticks(7)
+    .ticks(4)
+	.tickSize(-height-8)
+	.tickPadding(5);
+let xAxisEl = svg.append("g")
+	.attr("class", "x axis bottom")
+	.attr("transform", "translate(0,"+(height+8)+")");
+xAxisEl.append("text")
+	.attr("class", "axistitle")
+	.attr("text-anchor", "start")
+	.attr("x", 0).attr("y", 0)
+    // .attr("dx", "-.25em")
+    .attr("dx", "-.8em")
+    .attr("dy", "2.5em")
+	.text("Meaningfulness Score Average");
+xAxisEl.call(xAxis);
+
+
+// y-axis
+let yAxis = d3.axisLeft(y)
+    // .ticks(7)
+    .ticks(5)
+	.tickSize(-width-8)
+	.tickPadding(5);
+let yAxisEl = svg.append("g")
+	.attr("class", "y axis left")
+    .attr("transform", "translate("+(-8)+",0)");
+yAxisEl.append("text")
+	.attr("class", "axistitle")
+	.attr("x", 0).attr("y", 0)
+    .attr("dx", "4px")
+    // .attr("dy", "-2em")
+    .attr("dy", "-3em")
+    .style("text-anchor", "end")
+    .attr("transform", "rotate(-90)")
+	.text("Happiness Score Average");
+yAxisEl.call(yAxis);
+
+
+let activities;
+let circle, labeltext;
+
+// Load data
+const activitiesData = Promise.all([
+    d3.tsv("data/act_means.tsv", d3.autoType)
+]);
+activitiesData.then(function(data) {
+    
+    activities = data[0].sort((a, b) => b.relwt - a.relwt);
+    console.log(activities);
+    
+    // Initialize chart now that data is loaded.
+    initChart();
+});
+
+
+function initChart() {
+    // Circle for each node.
+    circle = svg.append("g")
+        .selectAll("circle")
+        .data(activities)
+        .join("circle")
+        .attr("id", d => "circle"+d.activity)
+        .attr("cx", d => x(d.meaning_mean))
+        .attr("cy", d => y(d.schappy_mean))
+        .attr("fill", ptcolor)
+        .attr("fill-opacity", .75)
+        .attr("r", d => r(d.relwt))
+        .attr("stroke", "#fff")
+        .attr("stroke-width", ".5px");
+    
+    setInteraction();
+}
+
+
+
+function setInteraction() {
+    
+    // Create label
+    labeltext = svg.append("text")
+        .attr("text-anchor", "middle");
+    
+    // Hover events
+	circle.on("mouseover", function(e,d) {
+        d3.selectAll(".current").classed("current", false);
+        d3.select(this).classed("current", true);
+        
+        let curract = d3.select(this).datum();
+        
+        labeltext.text(curract.descrip)
+            .attr("x", x(curract.meaning_mean))
+            .attr("y", y(curract.schappy_mean)-r(curract.relwt)-5);
+	})
+    // .on("mousemove", function(e,d) {
+    //     d3.select(this).classed("current", true);
+    // })
+	.on('mouseout', function(d) {
+		d3.select(this).classed('current', false);
+        labeltext.text('');
+	}); // @end mouseover
+    
+}
+
+
+
+