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/scatterplot/js/scatterplot.js

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+// Dimensions of chart.
+let margin = { top: 20, right: 10, bottom: 50, left: 45 },
+    // width = parseInt(d3.select('#chart').style('width'), 10) - margin.left - margin.right,
+    width = 600 - margin.left - margin.right,
+    height = 750 - margin.top - margin.bottom;
+
+// Start SVG    
+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
+let x = d3.scaleLinear()
+    // .domain([0, 6])
+    .domain([3, 6])
+	.range([0, width]);
+let y = d3.scaleLinear()
+    // .domain([0, 6])
+    .domain([2, 6])
+	.range([height, 0]);
+
+// 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("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);
+var 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")
+    .style("text-anchor", "end")
+    .attr("transform", "rotate(-90)")
+	.text("Happiness Score Average");
+yAxisEl.call(yAxis);
+
+let activities;
+let circle;
+
+// Load data
+const activitiesData = Promise.all([
+    d3.tsv("data/act_means.tsv", d3.autoType)
+]);
+activitiesData.then(function(data) {
+    
+    activities = data[0];
+    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", .8)
+        .attr("r", 3);
+        // .attr("stroke", "#fff");
+}
+
+
+
+
+
+