| license: mit |
Cycle Plots are a useful technique for analysing cyclical patterns. They allow us to see both the overall pattern across the entire cycle and the trend for each point in the cycle across the entire range of time.
Cycle plots were originally developed by Cleveland, Dunn and Terpenning in the 1970s, and were brought to my attention by Stephen Few's Now You See It.
| [ | |
| { "date": "20130603", "items_sold": "41" }, | |
| { "date": "20130604", "items_sold": "70" }, | |
| { "date": "20130605", "items_sold": "84" }, | |
| { "date": "20130606", "items_sold": "63" }, | |
| { "date": "20130607", "items_sold": "63" }, | |
| { "date": "20130608", "items_sold": "32" }, | |
| { "date": "20130609", "items_sold": "34" }, | |
| { "date": "20130610", "items_sold": "46" }, | |
| { "date": "20130611", "items_sold": "68" }, | |
| { "date": "20130612", "items_sold": "84" }, | |
| { "date": "20130613", "items_sold": "61" }, | |
| { "date": "20130614", "items_sold": "61" }, | |
| { "date": "20130615", "items_sold": "34" }, | |
| { "date": "20130616", "items_sold": "32" }, | |
| { "date": "20130617", "items_sold": "48" }, | |
| { "date": "20130618", "items_sold": "66" }, | |
| { "date": "20130619", "items_sold": "86" }, | |
| { "date": "20130620", "items_sold": "65" }, | |
| { "date": "20130621", "items_sold": "65" }, | |
| { "date": "20130622", "items_sold": "37" }, | |
| { "date": "20130623", "items_sold": "35" }, | |
| { "date": "20130624", "items_sold": "49" }, | |
| { "date": "20130625", "items_sold": "65" }, | |
| { "date": "20130626", "items_sold": "89" }, | |
| { "date": "20130627", "items_sold": "60" }, | |
| { "date": "20130628", "items_sold": "63" }, | |
| { "date": "20130629", "items_sold": "39" }, | |
| { "date": "20130630", "items_sold": "32" }, | |
| { "date": "20130701", "items_sold": "54" }, | |
| { "date": "20130702", "items_sold": "64" }, | |
| { "date": "20130703", "items_sold": "92" }, | |
| { "date": "20130704", "items_sold": "66" }, | |
| { "date": "20130705", "items_sold": "59" }, | |
| { "date": "20130706", "items_sold": "33" }, | |
| { "date": "20130707", "items_sold": "34" }, | |
| { "date": "20130708", "items_sold": "56" }, | |
| { "date": "20130709", "items_sold": "63" }, | |
| { "date": "20130710", "items_sold": "95" }, | |
| { "date": "20130711", "items_sold": "60" }, | |
| { "date": "20130712", "items_sold": "66" }, | |
| { "date": "20130713", "items_sold": "34" }, | |
| { "date": "20130714", "items_sold": "37" }, | |
| { "date": "20130715", "items_sold": "62" }, | |
| { "date": "20130716", "items_sold": "58" }, | |
| { "date": "20130717", "items_sold": "104" }, | |
| { "date": "20130718", "items_sold": "65" }, | |
| { "date": "20130719", "items_sold": "65" }, | |
| { "date": "20130720", "items_sold": "37" }, | |
| { "date": "20130721", "items_sold": "33" }, | |
| { "date": "20130722", "items_sold": "70" }, | |
| { "date": "20130723", "items_sold": "57" }, | |
| { "date": "20130724", "items_sold": "112" }, | |
| { "date": "20130725", "items_sold": "64" }, | |
| { "date": "20130726", "items_sold": "63" }, | |
| { "date": "20130727", "items_sold": "34" }, | |
| { "date": "20130728", "items_sold": "34" } | |
| ] |
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| <meta charset="utf-8"> | |
| <style> | |
| body { | |
| font: 12px sans-serif; | |
| } | |
| .axis path, | |
| .axis line { | |
| fill: none; | |
| stroke: #999; | |
| shape-rendering: crispEdges; | |
| } | |
| .x.axis path { | |
| display: none; | |
| } | |
| .axis .title, | |
| .x.axis text { | |
| font-size: 16px; | |
| } | |
| .line, .mean { | |
| fill: none; | |
| stroke: black; | |
| stroke-width: 1.5px; | |
| } | |
| .mean { | |
| stroke-opacity: 0.5; | |
| } | |
| </style> | |
| <body> | |
| <script src="http://d3js.org/d3.v3.js"></script> | |
| <script> | |
| var margin = { top: 20, right: 20, bottom: 30, left: 50 }, | |
| width = 800 - margin.left - margin.right, | |
| height = 500 - margin.top - margin.bottom; | |
| var data = [ { day: "Sunday", data: [] }, | |
| { day: "Monday", data: [] }, | |
| { day: "Tuesday", data: [] }, | |
| { day: "Wednesday", data: [] }, | |
| { day: "Thursday", data: [] }, | |
| { day: "Friday", data: [] }, | |
| { day: "Saturday", data: [] } ]; | |
| var parseDate = d3.time.format("%Y%m%d").parse; | |
| var x = d3.scale.ordinal() | |
| .rangeRoundBands([0, width],.1) | |
| .domain([0,1,2,3,4,5,6]); | |
| var intraDayX = d3.scale.linear() | |
| .range([0, x.rangeBand()]); | |
| var y = d3.scale.linear() | |
| .range([height, 0]); | |
| var xAxis = d3.svg.axis() | |
| .scale(x) | |
| .orient("bottom") | |
| .tickSize(0) | |
| .tickFormat(function (d) { return data[d].day; }); | |
| var yAxis = d3.svg.axis() | |
| .scale(y) | |
| .orient("left") | |
| .tickSize(3, 0); | |
| var line = d3.svg.line() | |
| .x(function(d, i) { return intraDayX(i); }) | |
| .y(function(d) { return y(d.items_sold) }); | |
| var 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 + ")"); | |
| d3.json("data.json", function(error, rawData) { | |
| rawData.forEach(function(d) { | |
| d.date = parseDate(d.date); | |
| d.items_sold = +d.items_sold; | |
| data[d.date.getDay()].data.push(d); | |
| }); | |
| data.forEach(function(d) { | |
| d.mean = d3.mean(d.data, function(d) { return d.items_sold; }); | |
| }); | |
| intraDayX.domain([ 0, d3.max(data, function(d) { return d.data.length; })]); | |
| y.domain(d3.extent(rawData, function(d) { return d.items_sold; })); | |
| svg.append("g") | |
| .attr("class", "x axis") | |
| .attr("transform", "translate(0," + height + ")") | |
| .call(xAxis); | |
| svg.append("g") | |
| .attr("class", "y axis") | |
| .call(yAxis) | |
| .append("text") | |
| .attr("class", "title") | |
| .attr("y", -5) | |
| .style("text-anchor", "middle") | |
| .text("Items Sold"); | |
| var days = svg.selectAll(".day") | |
| .data(data) | |
| .enter() | |
| .append("g") | |
| .attr("class", "day") | |
| .attr("transform", function(d, i) { return "translate(" + x(i) + ",0)"; }); | |
| days.append("line") | |
| .attr("class", "mean") | |
| .attr("x1", 0) | |
| .attr("y1", function(d) { return y(d.mean); }) | |
| .attr("x2", x.rangeBand()) | |
| .attr("y2", function(d) { return y(d.mean); }); | |
| days.append("path") | |
| .datum( function(d) { return d.data; }) | |
| .attr("class", "line") | |
| .attr("d", line); | |
| }); | |
| </script> | |
| </body> |