These visulizations are built on top of the Scatterplot and Bar chart examples presented on Piazza. This was originally forked from asielen's block: Reusable Line Chart v2, an implementation of a reusable responsive multiline chart, but it largely wasn't used
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xxxxxxxxxx<html><meta charset="utf-8"><!-- Example based on https://bl.ocks.org/mbostock/3887118 --><!-- Tooltip example from https://www.d3noob.org/2013/01/adding-tooltips-to-d3js-graph.html --><style>body { font: 11px sans-serif;}.axis path,.axis line { fill: none; stroke: #000; shape-rendering: crispEdges;}.dot { stroke: #000;}.tooltip { position: absolute; width: 200px; height: 28px; pointer-events: none;}</style><body><script src="https://d3js.org/d3.v4.min.js"></script> <!--<script>var margin = {top: 20, right: 20, bottom: 30, left: 40}, width = 960 - margin.left - margin.right, height = 500 - margin.top - margin.bottom;/* * value accessor - returns the value to encode for a given data object. * scale - maps value to a visual display encoding, such as a pixel position. * map function - maps from data value to display value * axis - sets up axis */ // setup x var xValue = function(d) { return d["Calories"]}, // data -> value xScale = d3.scaleLinear().range([0, width]), // value -> display xMap = function(d) { return xScale(xValue(d));}, // data -> display xAxis = d3.axisBottom().scale(xScale);// setup yvar yValue = function(d) { return d["Protein (g)"];}, // data -> value yScale = d3.scaleLinear().range([height, 0]), // value -> display yMap = function(d) { return yScale(yValue(d));}, // data -> display yAxis = d3.axisLeft().scale(yScale);// setup fill colorvar cValue = function(d) { return d.Manufacturer;}, color = d3.scaleOrdinal(d3.schemeCategory10);// add the graph canvas to the body of the webpagevar svg = d3.select("body").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 + ")");// add the tooltip area to the webpagevar tooltip = d3.select("body").append("div") .attr("class", "tooltip") .style("opacity", 0);// load datad3.csv("cereal.csv", function(error, data) { // change string (from CSV) into number format data.forEach(function(d) { d["Calories"] = +d["Calories"]; d["Protein (g)"] = +d["Protein (g)"];// console.log(d); }); // don't want dots overlapping axis, so add in buffer to data domain xScale.domain([d3.min(data, xValue)-1, d3.max(data, xValue)+1]); yScale.domain([d3.min(data, yValue)-1, d3.max(data, yValue)+1]); // x-axis svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + height + ")") .call(xAxis) .append("text") .attr("class", "label") .attr("x", width) .attr("y", -6) .style("text-anchor", "end") .text("Calories"); // y-axis svg.append("g") .attr("class", "y axis") .call(yAxis) .append("text") .attr("class", "label") .attr("transform", "rotate(-90)") .attr("y", 6) .attr("dy", ".71em") .style("text-anchor", "end") .text("Protein (g)"); // draw dots svg.selectAll(".dot") .data(data) .enter().append("circle") .attr("class", "dot") .attr("r", 3.5) .attr("cx", xMap) .attr("cy", yMap) .style("fill", function(d) { return color(cValue(d));}) .on("mouseover", function(d) { tooltip.transition() .duration(200) .style("opacity", .9); tooltip.html(d["Cereal Name"] + "<br/> (" + xValue(d) + ", " + yValue(d) + ")") .style("left", (d3.event.pageX + 5) + "px") .style("top", (d3.event.pageY - 28) + "px"); }) .on("mouseout", function(d) { tooltip.transition() .duration(500) .style("opacity", 0); }); // draw legend var legend = svg.selectAll(".legend") .data(color.domain()) .enter().append("g") .attr("class", "legend") .attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; }); // draw legend colored rectangles legend.append("rect") .attr("x", width - 18) .attr("width", 18) .attr("height", 18) .style("fill", color); // draw legend text legend.append("text") .attr("x", width - 24) .attr("y", 9) .attr("dy", ".35em") .style("text-anchor", "end") .text(function(d) { return d;})});</script>--><!-- <script>// set the dimensions and margins of the graphvar margin = {top: 20, right: 20, bottom: 30, left: 40}, width = 960 - margin.left - margin.right, height = 500 - margin.top - margin.bottom;// set the rangesvar x = d3.scaleBand() .range([0, width]) .padding(0.1);var y = d3.scaleLinear() .range([height, 0]); // append the svg object to the body of the page// append a 'group' element to 'svg'// moves the 'group' element to the top left marginvar svg = d3.select("body").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 + ")");// get the datad3.csv("Table_2J.csv", function(error, data) { if (error) throw error; // format the data data.forEach(function(d) { //d["Total income"] = +d["Total income"].slice(1) d["Total income"] = +Number(d["Total income"].replace(/[^0-9\.]+/g,"")); }); // Scale the range of the data in the domains x.domain(data.map(function(d) { return d["Highest level completed"]; })); y.domain([0, d3.max(data, function(d) { return d["Total income"]; })]); // append the rectangles for the bar chart svg.selectAll(".bar") .data(data) .enter().append("rect") .attr("class", "bar") .attr("x", function(d) { return x(d["Highest level completed"]); }) .attr("width", x.bandwidth()) .attr("y", function(d) { return y(d["Total income"]); }) .attr("height", function(d) { return height - y(d["Total income"]); }); //append the mean as a red dashed line var mean = d3.mean(data,function(d) { return y(d["Total income"])}) svg.append("line") .attr("x1", 0) .attr("y1", mean) .attr("x2", width) .attr("y2", mean) .style("stroke-dasharray", ("5, 5")) .attr("stroke-width", 3) .attr("stroke", "red"); // add the x Axis svg.append("g") .attr("transform", "translate(0," + height + ")") .call(d3.axisBottom(x)); // add the y Axis svg.append("g") .call(d3.axisLeft(y));});</script>--> <button id="2AHisto" value="2AHisto">Average Income Histogram</button><button id="2JHisto">Median Income Histogram</button><br> <button id="2ALine" value="2ALine">Average Income Line</button><button id="2JLine">Median Income Line</button><br> <button id="2ABars" value="2ABars">Average Income, Earnings, months worked </button><button id="2JBars">Median Income, Earnings, months worked</button><br> <svg id="svg"></svg> <script type="text/javascript"> d3.select("#2AHisto").on("click", function(d,i) { table2AHisto(); }) d3.select("#2JHisto").on("click", function(d,i) { table2JHisto(); }) d3.select("#2ALine").on("click", function(d,i) { table2ALine(); }) d3.select("#2JLine").on("click", function(d,i) { table2JLine(); }) d3.select("#2ABars").on("click", function(d,i) { table2ABars(); }) d3.select("#2JBars").on("click", function(d,i) { table2JBars(); }) </script></body></html> Modified http://d3js.org/d3.v4.min.js to a secure url
https://d3js.org/d3.v4.min.js