Download code/train/JavaScript/0021477_bar_chart.js from Variable-role/sajaniemi_variable_dataset_large: direct link, hf CLI and curl.
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| ///// | |
| // | |
| // Bar chart function | |
| // | |
| ///// | |
| function bar_chart(eleID, measure) { | |
| pic = {}; // create object for function to return | |
| // initialize the parameters | |
| var frame = d3.select(eleID), | |
| margin = { | |
| top: 20, | |
| right: 50, | |
| bottom: 30, | |
| left: 150}, | |
| width = 700 - margin.left - margin.right, | |
| height = 500 - margin.top - margin.bottom, | |
| maxBarWidth= height - margin.left, | |
| maxChartHeight=height - (margin.top + margin.bottom) | |
| maxBarWidth= width - margin.right; | |
| var leftMargin = margin.left; | |
| //Should change on button click | |
| var measure = measure; | |
| //Creates rounding for tooltips | |
| var formatter = d3.format("d"); | |
| //Create linear scale for data within chart area | |
| var xScale = d3.scaleLinear() | |
| .range([0, maxBarWidth]); | |
| //Create ordinal scale for x variables | |
| var yScale = d3.scaleBand() | |
| .domain([0, maxChartHeight]); | |
| var x = d3.scaleLinear() | |
| .range([0, maxBarWidth]); | |
| var y = d3.scaleBand() | |
| .range([height, 0]); | |
| var xAxis = d3.axisBottom(x) | |
| .ticks(0); | |
| var yAxis = d3.axisLeft(y); | |
| var svg = frame | |
| .append("g") | |
| .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
| // Main method that can be called to draw the bar chart | |
| pic.update = function(data, measure) { | |
| //Sort the measure | |
| data.sort(function(a, b) { | |
| return a[measure] - b[measure]; | |
| }); | |
| // Extract the measure and create a scale. | |
| x.domain([-0.25, d3.max(data, function(d) { return d[measure]; })]); | |
| //Extract product names | |
| y.domain(data.map(function(d) { return d.product_name; })) | |
| .paddingInner(0.1); | |
| //Create the rectangles | |
| var rects = svg.selectAll(".bar") | |
| .data(data) | |
| .enter().append("rect") | |
| .attr("class", "bar") | |
| .attr("x", 0) | |
| .attr("height", y.bandwidth()) | |
| .attr("y", function(d) {return y(d.product_name); }) | |
| .attr("width", function(d) {return x(d[measure]); }) | |
| // add this attribute to change the color of the rect | |
| .attr("fill", function(d) { | |
| if (d.recommended == 1) { | |
| return "yellow"; | |
| } | |
| else if (d.selected == 1) { | |
| return "red"; | |
| } | |
| return "#29ABE2"; | |
| }) | |
| .on("mouseover", function() { | |
| d3.select(this) | |
| .attr("fill", "orange"); | |
| }) | |
| .on("mouseout", function(d, i) { | |
| d3.select(this).attr("fill", function() { | |
| return "" + color(this.id) + ""; | |
| })}); | |
| //Append x axis | |
| svg.append("g") | |
| .attr("class", "x axis") | |
| .attr("transform", "translate(0," + -2 + ")") | |
| .style("stroke-width", 0) | |
| .call(xAxis); | |
| //Append y axis | |
| svg.append("g") | |
| .attr("class", "y axis") | |
| //.attr("dy", "0.35em") | |
| .style("font-size", "12px") | |
| .call(yAxis) | |
| .selectAll(".tick text") | |
| .attr("stroke", "none") | |
| .attr("fill", "black") | |
| .call(wrap, leftMargin); | |
| //Set attributes of SVG rects based | |
| var rectAttributes = rects | |
| .on("mouseover", function(d, i) { | |
| //Show data value on mouse | |
| var xPosition = (parseFloat(d3.select(this).attr("width"))+6); | |
| var yPosition = parseFloat(d3.select(this).attr("y")) + (parseFloat(d3.select(this).attr("height")) / 2); | |
| svg.append("text") | |
| .attr("id", "tooltip") | |
| .attr("x", xPosition) | |
| .attr("y", yPosition) | |
| .attr("dy", "0.35em") | |
| .attr("text-anchor", "start") | |
| .attr("font-family", "sans-serif") | |
| .attr("font-size", "12px") | |
| .attr("font-weight", "bold") | |
| .attr("fill", "black") | |
| .text(formatter(d[measure])); | |
| }) | |
| //Transition on mouseout | |
| .on("mouseout", function(d) { | |
| d3.select(this) | |
| d3.select("#tooltip").remove(); | |
| }); | |
| }; | |
| // Return the created object, ready to be called with the update method | |
| return pic; | |
| } | |
| ///////// | |
| // | |
| // Other functions | |
| // | |
| ///////// | |
| //Converts strings to numeric type | |
| function type(d) { | |
| d.measure = +d.measure; | |
| return d; | |
| } | |
| //Label wrap function from "Wrapping Long Labels" - Mike Bostock | |
| function wrap(text, width) { | |
| text.each(function() { | |
| var text = d3.select(this), | |
| words = text.text().split(/\s+/).reverse(), | |
| word, | |
| line = [], | |
| lineNumber = 0, | |
| lineHeight = 1.1, //em | |
| y = text.attr("y"), | |
| x = text.attr("x"), | |
| dy = parseFloat(text.attr("dy")), | |
| tspan = text.text(null).append("tspan").attr("x", x).attr("y", y).attr("dy", dy + "em"); | |
| console.log(words); | |
| while (word = words.pop()) { | |
| line.push(word); | |
| tspan.text(line.join(" ")); | |
| if (tspan.node().getComputedTextLength() > width) { | |
| line.pop(); | |
| tspan.text(line.join(" ")); | |
| line = [word]; | |
| tspan = text.append("tspan").attr("x", x).attr("y", y).attr("dy", ++lineNumber * lineHeight + dy + "em").text(word); | |
| } | |
| } | |
| }) | |
| } | |
| // Function to take the full data set and filter down to only | |
| // the rows we want to compare between. | |
| // In the big production version this is where the call to the | |
| // API could happen instead, for example. | |
| // Takes a reference to the data, a specific product id and a ranking criteria. | |
| // Finds all products in the data that have a matching demo_cat attribute to | |
| // to selected productid. | |
| // Returns a filtered array of objects, with 'selected' and 'recommended' | |
| // attributes appended to the objects. Recommended is based on sorting by the | |
| // specified criteria. Also appends a 'number' attribute to the objects | |
| // representing their position in the sort order, starting from 1, | |
| // (to make color indexing a bit easier in the drawing functions). | |
| function find_and_rank_comparables(data, productid, criteria) { | |
| // scan through data to find what the category is the for selected productid | |
| var eval_count = data.length; | |
| var cat_filter; | |
| for (var i = 0; i < eval_count; i++) { | |
| if (data[i].code == productid) {cat_filter = data[i].demo_cat;}; | |
| }; | |
| // now go through and select all the objects that match the category \ | |
| //and have a value greater than zero | |
| // also adding an attribute to mark which is the selected one | |
| var filtered = []; | |
| var comp_count = 0; | |
| for (var i = 0; i < eval_count; i++) { | |
| if (data[i].demo_cat == cat_filter) { | |
| comp_count += 1; | |
| if (data[i].code == productid) { | |
| data[i].selected = 1;} | |
| else { | |
| data[i].selected = 0; | |
| } | |
| filtered.push(data[i]); | |
| }; | |
| }; | |
| // Now sort the objects based on the specified criteria | |
| filtered.sort(function(a, b) { return parseFloat(a[criteria]) - | |
| parseFloat(b[criteria])} ); | |
| // Now flag which one is the recommended, based on the sort | |
| for (var i = 0; i < comp_count; i++) { | |
| filtered[i].number = i; | |
| if (i === 0) { | |
| filtered[i].recommended = 1;} | |
| else { | |
| filtered[i].recommended = 0;} | |
| }; | |
| return filtered; | |
| }; | |