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lighthouse audits
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| license: mit |
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| // | |
| // data will be sorted by earliest to latest | |
| const rawAudits = rawJson.audits; | |
| const latest = rawAudits.reverse(); | |
| const sdmAudits = rawAudits.filter( row => row.company === "SDM"); | |
| const todayMoment = moment(new Date()); | |
| // Landing - 4 Dates - a week apart | |
| const isDaysApart = (row, range) => { | |
| const start = moment(new Date()).subtract(range.start, 'days'); | |
| const end = moment(new Date()).subtract(range.end, 'days'); | |
| const test = moment(row.created_on); | |
| const isBetween = test.isBetween(start, end, 'days'); | |
| //const difference = todayMoment | |
| return isBetween; | |
| } | |
| const thisWeekfilter = row => { | |
| const isBetween = isDaysApart(row, {start: 7, end: 0}); | |
| if (row.label === "Landing" && isBetween){ | |
| return row; | |
| } | |
| } | |
| const lastWeekfilter = row => { | |
| const isBetween = isDaysApart(row, {start: 14, end: 7}); | |
| if (row.label === "Landing" && isBetween){ | |
| return row; | |
| } | |
| } | |
| const threeWeeksAgofilter = row => { | |
| const isBetween = isDaysApart(row, {start: 21, end: 14}); | |
| if (row.label === "Landing" && isBetween){ | |
| return row; | |
| } | |
| } | |
| const fourWeeksAgofilter = row => { | |
| const isBetween = isDaysApart(row, {start: 28, end: 21}); | |
| if (row.label === "Landing" && isBetween){ | |
| return row; | |
| } | |
| } | |
| // currently we can go only go back 3 weeks | |
| const landingMomentsThisWeek = sdmAudits.find(thisWeekfilter); | |
| const landingMomentsLastWeek = sdmAudits.find(lastWeekfilter); | |
| const landingMomentsThreeWeeksAgo = sdmAudits.find(threeWeeksAgofilter); | |
| // const landingMomentsFourWeeksAgo = sdmAudits.find(fourWeeksAgofilter); | |
| console.log("y landingMomentsThreeWeeksAgo: ", landingMomentsThreeWeeksAgo) | |
| function addRow(arrHead, tableId, label, prop) { | |
| const empTab = document.getElementById(tableId); | |
| var rowCnt = empTab.rows.length; // GET TABLE ROW COUNT. | |
| var tr = empTab.insertRow(rowCnt); // TABLE ROW. | |
| tr = empTab.insertRow(rowCnt); | |
| for (var c = 0; c < arrHead.length; c++) { | |
| var td = document.createElement('td'); // TABLE DEFINITION. | |
| td = tr.insertCell(c); | |
| // CREATE AND ADD TEXTBOX IN EACH CELL. | |
| var ele = document.createElement('input'); | |
| ele.setAttribute('type', 'text'); | |
| ele.setAttribute('value', arrHead[c]); | |
| td.appendChild(ele); | |
| } | |
| } | |
| // https://stackoverflow.com/questions/6195335/linear-regression-in-javascript | |
| function linearRegression(y,x){ | |
| var lr = {}; | |
| var n = y.length; | |
| var sum_x = 0; | |
| var sum_y = 0; | |
| var sum_xy = 0; | |
| var sum_xx = 0; | |
| var sum_yy = 0; | |
| for (var i = 0; i < y.length; i++) { | |
| sum_x += x[i]; | |
| sum_y += y[i]; | |
| sum_xy += (x[i]*y[i]); | |
| sum_xx += (x[i]*x[i]); | |
| sum_yy += (y[i]*y[i]); | |
| } | |
| lr['slope'] = (n * sum_xy - sum_x * sum_y) / (n*sum_xx - sum_x * sum_x); | |
| lr['intercept'] = (sum_y - lr.slope * sum_x)/n; | |
| lr['r2'] = Math.pow((n*sum_xy - sum_x*sum_y)/Math.sqrt((n*sum_xx-sum_x*sum_x)*(n*sum_yy-sum_y*sum_y)),2); | |
| return lr; | |
| } | |
| function linearRegressionGain(x, y) | |
| { | |
| var xs = 0; // sum(x) | |
| var ys = 0; // sum(y) | |
| var xxs = 0; // sum(x*x) | |
| var xys = 0; // sum(x*y) | |
| var yys = 0; // sum(y*y) | |
| var n = 0; | |
| for (; n < x.length && n < y.length; n++) | |
| { | |
| xs += x[n]; | |
| ys += y[n]; | |
| xxs += x[n] * x[n]; | |
| xys += x[n] * y[n]; | |
| yys += y[n] * y[n]; | |
| } | |
| var div = n * xxs - xs * xs; | |
| var gain = (n * xys - xs * ys) / div; | |
| var offset = (ys * xxs - xs * xys) / div; | |
| var correlation = Math.abs((xys * n - xs * ys) / Math.sqrt((xxs * n - xs * xs) * (yys * n - ys * ys))); | |
| return { gain: gain, offset: offset, correlation: correlation }; | |
| } | |
| const thisWeek = Number(landingMomentsThisWeek.performance_score); | |
| const lastWeek = Number(landingMomentsLastWeek.performance_score); | |
| const threeWeeksAgo = Number(landingMomentsThreeWeeksAgo.performance_score); | |
| var known_y = [1, 2, 3]; | |
| var known_x = [threeWeeksAgo, lastWeek, thisWeek]; | |
| var slope = linearRegression(known_y, known_x); | |
| var lr = linearRegressionGain(known_y, known_x); | |
| const getTrend = lr => { | |
| let trend; | |
| if (lr.gain > 0){ | |
| trend = `Up ${lr.gain.toFixed(1)}` | |
| } else if (lr.gain < 0) { | |
| trend = `Down ${lr.gain.toFixed(1)}` | |
| } else { | |
| trend = "No Change"; | |
| } | |
| return trend; | |
| } | |
| const perfArr = [ | |
| landingMomentsThisWeek.label, | |
| "unavailable", | |
| String(landingMomentsThreeWeeksAgo.performance_score), | |
| String(landingMomentsLastWeek.performance_score), | |
| String(landingMomentsThisWeek.performance_score), | |
| getTrend(lr) | |
| ] | |
| addRow(perfArr, "performanceMonthTable") | |
| const thisWeekInt = Number(landingMomentsThisWeek.time_to_interactive.slice(0,-1)); | |
| const lastWeekInt = Number(landingMomentsLastWeek.time_to_interactive.slice(0,-1)); | |
| const threeWeeksAgoInt = Number(landingMomentsThreeWeeksAgo.time_to_interactive.slice(0,-1)); | |
| var known_y_int = [1, 2, 3]; | |
| var known_x_int = [threeWeeksAgoInt, lastWeekInt, thisWeekInt]; | |
| var lr_int = linearRegressionGain(known_y_int, known_x_int); | |
| const interactiveArr = [ | |
| "time to interactive", | |
| "unavailable", | |
| String(landingMomentsThreeWeeksAgo.time_to_interactive), | |
| String(landingMomentsLastWeek.time_to_interactive), | |
| String(landingMomentsThisWeek.time_to_interactive), | |
| getTrend(lr_int) | |
| ] | |
| const addRows = () => { | |
| const rows = ["time_to_contentful_paint","time_to_meaningful_paint","time_to_interactive"]; | |
| rows.forEach( row => { | |
| const thisWInt = Number(landingMomentsThisWeek[row].slice(0,-1)); | |
| const lastWInt = Number(landingMomentsLastWeek[row].slice(0,-1)); | |
| const threeWInt = Number(landingMomentsThreeWeeksAgo[row].slice(0,-1)); | |
| const known_y_int = [1, 2, 3]; | |
| const known_x_int = [threeWInt, lastWInt, thisWInt]; | |
| const lr_int = linearRegressionGain(known_y_int, known_x_int); | |
| const arr = [ | |
| row.split("_").join(" "), | |
| "unavailable", | |
| String(landingMomentsThreeWeeksAgo[row]), | |
| String(landingMomentsLastWeek[row]), | |
| String(landingMomentsThisWeek[row]), | |
| getTrend(lr_int) | |
| ] | |
| addRow(arr, "interactiveMonthTable") | |
| }) | |
| } | |
| addRows() | |
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| {"audits":[{"accessibility_score":80,"company":"SDM","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":22,"label":"Landing","performance_score":19,"seo_score":92,"time_to_contentful_paint":"4.1\u00a0s","time_to_interactive":"19.9\u00a0s","time_to_meaningful_paint":"4.2\u00a0s"},{"accessibility_score":71,"company":"SDM","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":23,"label":"PDP","performance_score":6,"seo_score":83,"time_to_contentful_paint":"7.3\u00a0s","time_to_interactive":"20.0\u00a0s","time_to_meaningful_paint":"9.0\u00a0s"},{"accessibility_score":81,"company":"SDM","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":24,"label":"PLP","performance_score":22,"seo_score":82,"time_to_contentful_paint":"2.5\u00a0s","time_to_interactive":"24.7\u00a0s","time_to_meaningful_paint":"9.1\u00a0s"},{"accessibility_score":80,"company":"SDM","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":25,"label":"Cart","performance_score":7,"seo_score":83,"time_to_contentful_paint":"5.5\u00a0s","time_to_interactive":"21.2\u00a0s","time_to_meaningful_paint":"6.8\u00a0s"},{"accessibility_score":71,"company":"Joe Fresh","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":26,"label":"Landing","performance_score":20,"seo_score":83,"time_to_contentful_paint":"3.4\u00a0s","time_to_interactive":"17.9\u00a0s","time_to_meaningful_paint":"4.4\u00a0s"},{"accessibility_score":67,"company":"Joe Fresh","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":27,"label":"PLP","performance_score":9,"seo_score":92,"time_to_contentful_paint":"4.2\u00a0s","time_to_interactive":"26.1\u00a0s","time_to_meaningful_paint":"10.2\u00a0s"},{"accessibility_score":68,"company":"Joe Fresh","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":28,"label":"PDP","performance_score":13,"seo_score":89,"time_to_contentful_paint":"3.9\u00a0s","time_to_interactive":"24.5\u00a0s","time_to_meaningful_paint":"11.7\u00a0s"},{"accessibility_score":67,"company":"Joe Fresh","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":29,"label":"Cart","performance_score":13,"seo_score":81,"time_to_contentful_paint":"4.0\u00a0s","time_to_interactive":"27.1\u00a0s","time_to_meaningful_paint":"14.3\u00a0s"},{"accessibility_score":81,"company":"Uniqlo","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":30,"label":"Landing","performance_score":79,"seo_score":89,"time_to_contentful_paint":"1.4\u00a0s","time_to_interactive":"7.2\u00a0s","time_to_meaningful_paint":"2.0\u00a0s"},{"accessibility_score":81,"company":"Uniqlo","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":31,"label":"PLP","performance_score":80,"seo_score":92,"time_to_contentful_paint":"1.4\u00a0s","time_to_interactive":"7.2\u00a0s","time_to_meaningful_paint":"1.8\u00a0s"},{"accessibility_score":76,"company":"Uniqlo","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":32,"label":"PDP","performance_score":78,"seo_score":89,"time_to_contentful_paint":"1.3\u00a0s","time_to_interactive":"7.3\u00a0s","time_to_meaningful_paint":"1.8\u00a0s"},{"accessibility_score":71,"company":"Uniqlo","created_on":"Fri, 06 Dec 2019 02:31:20 GMT","device":"mobile","id":33,"label":"Cart","performance_score":94,"seo_score":91,"time_to_contentful_paint":"1.3\u00a0s","time_to_interactive":"4.0\u00a0s","time_to_meaningful_paint":"2.2\u00a0s"},{"accessibility_score":80,"company":"SDM","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":34,"label":"Landing","performance_score":17,"seo_score":92,"time_to_contentful_paint":"4.1\u00a0s","time_to_interactive":"23.7\u00a0s","time_to_meaningful_paint":"5.6\u00a0s"},{"accessibility_score":81,"company":"SDM","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":35,"label":"PLP","performance_score":17,"seo_score":82,"time_to_contentful_paint":"3.3\u00a0s","time_to_interactive":"25.2\u00a0s","time_to_meaningful_paint":"9.7\u00a0s"},{"accessibility_score":71,"company":"SDM","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":36,"label":"PDP","performance_score":6,"seo_score":83,"time_to_contentful_paint":"7.3\u00a0s","time_to_interactive":"20.2\u00a0s","time_to_meaningful_paint":"9.2\u00a0s"},{"accessibility_score":80,"company":"SDM","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":37,"label":"Cart","performance_score":6,"seo_score":83,"time_to_contentful_paint":"5.6\u00a0s","time_to_interactive":"22.4\u00a0s","time_to_meaningful_paint":"8.9\u00a0s"},{"accessibility_score":71,"company":"Joe Fresh","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":38,"label":"Landing","performance_score":20,"seo_score":83,"time_to_contentful_paint":"3.2\u00a0s","time_to_interactive":"17.9\u00a0s","time_to_meaningful_paint":"7.3\u00a0s"},{"accessibility_score":67,"company":"Joe Fresh","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":39,"label":"PLP","performance_score":10,"seo_score":92,"time_to_contentful_paint":"4.1\u00a0s","time_to_interactive":"24.1\u00a0s","time_to_meaningful_paint":"10.9\u00a0s"},{"accessibility_score":68,"company":"Joe Fresh","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":40,"label":"PDP","performance_score":12,"seo_score":89,"time_to_contentful_paint":"4.1\u00a0s","time_to_interactive":"25.1\u00a0s","time_to_meaningful_paint":"10.2\u00a0s"},{"accessibility_score":67,"company":"Joe Fresh","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":41,"label":"Cart","performance_score":12,"seo_score":81,"time_to_contentful_paint":"4.1\u00a0s","time_to_interactive":"28.3\u00a0s","time_to_meaningful_paint":"11.0\u00a0s"},{"accessibility_score":81,"company":"Uniqlo","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":42,"label":"Landing","performance_score":80,"seo_score":89,"time_to_contentful_paint":"1.3\u00a0s","time_to_interactive":"7.3\u00a0s","time_to_meaningful_paint":"1.8\u00a0s"},{"accessibility_score":81,"company":"Uniqlo","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":43,"label":"PLP","performance_score":78,"seo_score":92,"time_to_contentful_paint":"1.3\u00a0s","time_to_interactive":"7.3\u00a0s","time_to_meaningful_paint":"1.9\u00a0s"},{"accessibility_score":76,"company":"Uniqlo","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":44,"label":"PDP","performance_score":77,"seo_score":89,"time_to_contentful_paint":"1.3\u00a0s","time_to_interactive":"7.4\u00a0s","time_to_meaningful_paint":"2.2\u00a0s"},{"accessibility_score":71,"company":"Uniqlo","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":45,"label":"Cart","performance_score":94,"seo_score":91,"time_to_contentful_paint":"1.3\u00a0s","time_to_interactive":"4.0\u00a0s","time_to_meaningful_paint":"2.0\u00a0s"},{"accessibility_score":44,"company":"Walmart","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":46,"label":"PLP","performance_score":27,"seo_score":88,"time_to_contentful_paint":"2.0\u00a0s","time_to_interactive":"20.8\u00a0s","time_to_meaningful_paint":"2.6\u00a0s"},{"accessibility_score":78,"company":"Walmart","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":47,"label":"PDP","performance_score":49,"seo_score":98,"time_to_contentful_paint":"2.0\u00a0s","time_to_interactive":"8.9\u00a0s","time_to_meaningful_paint":"3.4\u00a0s"},{"accessibility_score":84,"company":"Walmart","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":48,"label":"Cart","performance_score":40,"seo_score":89,"time_to_contentful_paint":"3.1\u00a0s","time_to_interactive":"13.1\u00a0s","time_to_meaningful_paint":"3.8\u00a0s"},{"accessibility_score":93,"company":"Amazon","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":49,"label":"Landing","performance_score":42,"seo_score":100,"time_to_contentful_paint":"2.4\u00a0s","time_to_interactive":"14.3\u00a0s","time_to_meaningful_paint":"2.4\u00a0s"},{"accessibility_score":89,"company":"Amazon","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":50,"label":"PLP","performance_score":75,"seo_score":100,"time_to_contentful_paint":"2.4\u00a0s","time_to_interactive":"7.0\u00a0s","time_to_meaningful_paint":"2.6\u00a0s"},{"accessibility_score":65,"company":"Amazon","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":51,"label":"PDP","performance_score":55,"seo_score":100,"time_to_contentful_paint":"1.9\u00a0s","time_to_interactive":"9.8\u00a0s","time_to_meaningful_paint":"1.9\u00a0s"},{"accessibility_score":91,"company":"Amazon","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":52,"label":"Cart","performance_score":71,"seo_score":58,"time_to_contentful_paint":"2.1\u00a0s","time_to_interactive":"7.7\u00a0s","time_to_meaningful_paint":"2.6\u00a0s"},{"accessibility_score":43,"company":"Altitude Sport","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":53,"label":"Landing","performance_score":50,"seo_score":91,"time_to_contentful_paint":"1.4\u00a0s","time_to_interactive":"11.1\u00a0s","time_to_meaningful_paint":"1.4\u00a0s"},{"accessibility_score":28,"company":"Altitude Sport","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":54,"label":"PLP","performance_score":49,"seo_score":91,"time_to_contentful_paint":"1.7\u00a0s","time_to_interactive":"9.9\u00a0s","time_to_meaningful_paint":"1.7\u00a0s"},{"accessibility_score":62,"company":"Altitude Sport","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":55,"label":"PDP","performance_score":47,"seo_score":91,"time_to_contentful_paint":"2.1\u00a0s","time_to_interactive":"12.8\u00a0s","time_to_meaningful_paint":"3.4\u00a0s"},{"accessibility_score":98,"company":"Altitude Sport","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":56,"label":"Cart","performance_score":19,"seo_score":83,"time_to_contentful_paint":"4.9\u00a0s","time_to_interactive":"13.8\u00a0s","time_to_meaningful_paint":"4.9\u00a0s"},{"accessibility_score":81,"company":"Walmart","created_on":"Mon, 09 Dec 2019 02:08:35 GMT","device":"mobile","id":57,"label":"Landing","performance_score":41,"seo_score":99,"time_to_contentful_paint":"2.1\u00a0s","time_to_interactive":"10.7\u00a0s","time_to_meaningful_paint":"3.2\u00a0s"},{"accessibility_score":80,"company":"SDM","created_on":"Fri, 13 Dec 2019 17:38:22 GMT","device":"mobile","id":58,"label":"Landing","performance_score":20,"seo_score":92,"time_to_contentful_paint":"3.9\u00a0s","time_to_interactive":"19.4\u00a0s","time_to_meaningful_paint":"4.3\u00a0s"},{"accessibility_score":81,"company":"SDM","created_on":"Fri, 13 Dec 2019 17:38:22 GMT","device":"mobile","id":59,"label":"PLP","performance_score":20,"seo_score":82,"time_to_contentful_paint":"3.2\u00a0s","time_to_interactive":"24.2\u00a0s","time_to_meaningful_paint":"8.6\u00a0s"},{"accessibility_score":71,"company":"SDM","created_on":"Fri, 13 Dec 2019 17:38:22 GMT","device":"mobile","id":60,"label":"PDP","performance_score":7,"seo_score":83,"time_to_contentful_paint":"8.0\u00a0s","time_to_interactive":"22.9\u00a0s","time_to_meaningful_paint":"8.0\u00a0s"},{"accessibility_score":80,"company":"SDM","created_on":"Fri, 13 Dec 2019 17:38:22 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| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <link href="style.css" /> | |
| <body> | |
| <h1>Performance</h1> | |
| <select id="company"> | |
| <option value="SDM">SDM</option> | |
| <option value="Joe Fresh">Joe Fresh</option> | |
| <option value="Uniqlo">Uniqlo</option> | |
| <option value="Amazon">Amazon</option> | |
| <option value="Walmart">Walmart</option> | |
| </select> | |
| <select id="page"> | |
| <option value="Landing">Landing</option> | |
| <option value="PLP">PLP</option> | |
| <option value="PDP">PDP</option> | |
| <option value="Cart">Cart</option> | |
| </select> | |
| <!-- | |
| <select id="stat"> | |
| <option value="performance_score">Performance</option> | |
| <option value="time_to_contentful_paint">Contentful</option> | |
| <option value="time_to_meaningful_paint">Meaningful</option> | |
| <option value="time_to_interactive">Interactive</option> | |
| <option value="accessibility_score">Accessibility</option> | |
| <option value="seo_score">SEO</option> | |
| </select> | |
| --> | |
| <div> | |
| <h2>Performance over 4 weeks</h2> | |
| <table id="performanceMonthTable"> | |
| <tr> | |
| <th>Page</th> | |
| <th>4 Weeks Ago</th> | |
| <th>2 Weeks Ago</th> | |
| <th>Last Week</th> | |
| <th>This Week</th> | |
| <th>Trend</th> | |
| </tr> | |
| </table> | |
| </div> | |
| <div> | |
| <h2>Landing over 4 weeks</h2> | |
| <table id="interactiveMonthTable"> | |
| <tr> | |
| <th>Stat</th> | |
| <th>4 Weeks Ago</th> | |
| <th>2 Weeks Ago</th> | |
| <th>Last Week</th> | |
| <th>This Week</th> | |
| <th>Trend</th> | |
| </tr> | |
| </table> | |
| </div> | |
| <script src="https://d3js.org/d3.v5.min.js"></script> | |
| <script src="https://cdn.jsdelivr.net/npm/moment@2.24.0/moment.min.js"></script> | |
| <script src="interact.js"></script> | |
| <script src="visualize.js"></script> | |
| <script src="service.js"></script> | |
| <script src="comparisonTable.js"></script> | |
| </body> |
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| let company = document.getElementById("company").value; | |
| let page = document.getElementById("page").value; | |
| // let stat = document.getElementById("stat").value; | |
| const stat = "performance_score"; | |
| // COMPANY | |
| const companySelect = document.getElementById("company"); | |
| const onCompanyChangeHander = (e) => { | |
| company = e.target.value; | |
| const filteredData = filterData(rawJson); | |
| const classCompany = company === "Joe Fresh" ? "Joe" : company; | |
| const lineClass = `${classCompany}-line`; | |
| drawLine(filteredData, lineClass, false, true); | |
| } | |
| companySelect.addEventListener("change", onCompanyChangeHander); | |
| // PAGE | |
| const pageSelect = document.getElementById("page"); | |
| const onPageChangeHander = (e) => { | |
| page = e.target.value; | |
| const filteredData = filterData(rawJson); | |
| const classCompany = company === "Joe Fresh" ? "Joe" : company; | |
| const lineClass = `${classCompany}-line`; | |
| drawLine(filteredData, lineClass, false, true); | |
| } | |
| pageSelect.addEventListener("change", onPageChangeHander); | |
| // STAT | |
| /* | |
| const statSelect = document.getElementById("stat"); | |
| const onStatChangeHander = (e) => { | |
| stat = e.target.value; | |
| } | |
| statSelect.addEventListener("change", onStatChangeHander); | |
| */ |
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| // let's get some json... | |
| const url = "data.json";//"https://scout.now.sh/api/audits/lighthouse" | |
| let rawJson = ""; | |
| const filterData = (json) => { | |
| const filterAudits = json.audits.filter( row => row.company === company && row.label === page); | |
| const getClose = row => { | |
| const statStr = row[stat] | |
| if (typeof statStr === "string" && statStr.indexOf("s") > -1) { | |
| return Number(statStr.slice(0,-1)) | |
| } | |
| return Number(statStr); | |
| } | |
| const getDate = row => { | |
| // 5-Apr-12,45.51 | |
| const date = new Date(row.created_on); | |
| const day = date.getDate(); | |
| const month = date.getMonth(); | |
| const year = date.getFullYear(); | |
| const months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]; | |
| const monthName = months[month]; | |
| const twoDigitYear = String(year).slice(2,4); | |
| const str = `${day}-${monthName}-${twoDigitYear}`; | |
| return str; | |
| } | |
| const filteredData = filterAudits.map( row => { | |
| return {date: getDate(row), close: getClose(row), page} | |
| }); | |
| return filteredData; | |
| } | |
| const updateChart = (json) => { | |
| // audits json.audits | |
| const filteredData = filterData(rawJson); | |
| drawChart(filteredData) | |
| drawLine(filteredData, `${company}-line`, false); | |
| } | |
| const fetchData = () => { | |
| fetch(url).then( | |
| response => { | |
| return response.json() | |
| } | |
| ).then( json => { | |
| rawJson = json; | |
| return updateChart(rawJson) | |
| }) | |
| } | |
| fetchData(); |
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| body { | |
| font: 12px sans-serif; | |
| } | |
| .axis path, | |
| .axis line { | |
| fill: none; | |
| stroke: #ddd; | |
| shape-rendering: crispEdges; | |
| } | |
| .x.axis path { | |
| //fill: #ddd; | |
| stroke: #ddd; | |
| } | |
| select { | |
| font-size: 20px; | |
| margin-right: 20px; | |
| background: white; | |
| } | |
| .tick { | |
| fill: #999; | |
| } | |
| .SDM-line { | |
| fill: none; | |
| stroke: crimson; | |
| stroke-width: 4px; | |
| } | |
| .Joe-line { | |
| fill: none; | |
| stroke: orange; | |
| stroke-width: 4px; | |
| } | |
| .Walmart-line { | |
| fill: none; | |
| stroke: blue; | |
| stroke-width: 4px; | |
| } | |
| .Amazon-line { | |
| fill: none; | |
| stroke: green; | |
| stroke-width: 4px; | |
| } | |
| .Uniqlo-line { | |
| fill: none; | |
| stroke: purple; | |
| stroke-width: 4px; | |
| } | |
| .line { | |
| fill: none; | |
| stroke: steelblue; | |
| stroke-width: 4px; | |
| } | |
| .selectedline { | |
| fill: none; | |
| stroke: steelblue; | |
| stroke-width: 8px; | |
| } | |
| .lineSelected { | |
| } | |
| circle { | |
| pointer-events: all; | |
| cursor: points; | |
| } | |
| .datapoint { | |
| pointer-events: "all"; | |
| cursor: "pointer" !imporantant; | |
| stroke-width: 2px; | |
| } | |
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| /* | |
| #ffbd00 - gold | |
| #0e1a36 - royal | |
| #008281 - teal | |
| #fafafa | |
| #c1c1c1 - line | |
| #f2f2f2; | |
| */ | |
| // set the dimensions and margins of the graph | |
| const margin = {top: 20, right: 20, bottom: 70, left: 50}, | |
| width = 960 - margin.left - margin.right, | |
| height = 500 - margin.top - margin.bottom; | |
| // parse the date / time | |
| const parseTime = d3.timeParse("%d-%b-%y"); //"%B %d, %Y" | |
| // set the ranges | |
| const x = d3.scaleTime().range([0, width]); | |
| const y = d3.scaleLinear().range([height, 0]); | |
| // define the line | |
| // line options https://bl.ocks.org/d3noob/ced1b9b18bd8192d2c898884033b5529 | |
| // http://bl.ocks.org/emmasaunders/c25a147970def2b02d8c7c2719dc7502 | |
| const valueline = d3.line() | |
| .curve(d3.curveLinear) | |
| .x(function(d) { return x(d.date); }) | |
| .y(function(d) { return y(d.close); }); | |
| // append the svg obgect to the body of the page | |
| // appends a 'group' element to 'svg' | |
| // moves the 'group' element to the top left margin | |
| const 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 + ")"); | |
| // | |
| const drawChart = (data, chartMin = 0, chartMax = 100) => { | |
| data.forEach(function(d) { | |
| d.date = parseTime(d.date); | |
| d.close = +d.close; | |
| }); | |
| // Scale the range of the data | |
| x.domain(d3.extent(data, function(d) { return d.date; })); | |
| y.domain([chartMin, d3.max(data, function(d) { return chartMax; })]); //d.close; | |
| // Add the X Axis | |
| svg.append("g") | |
| .attr("class", "axis") | |
| .attr("transform", "translate(0," + height + ")") | |
| .call(d3.axisBottom(x).ticks(20)) | |
| .selectAll("text") | |
| .style("text-anchor", "end") | |
| .attr("dx", "-.8em") | |
| .attr("dy", ".15em") | |
| .attr("transform", "rotate(-65)"); | |
| // Add the Y Axis | |
| svg.append("g") | |
| .attr("class", "axis") | |
| .call(d3.axisLeft(y).ticks(20)); | |
| } | |
| const handleMouseClick = (d) => { | |
| } | |
| const handleMouseOver = (d) => { | |
| } | |
| const handleMouseOut = (d) => { | |
| } | |
| const drawLine = (data, lineClass, bDrawPoints, bParseData = false) => { | |
| // format the data | |
| if (bParseData){ | |
| data.forEach(function(d) { | |
| d.date = parseTime(d.date); | |
| d.close = +d.close; | |
| }); | |
| } | |
| // Scale the range of the data | |
| x.domain(d3.extent(data, function(d) { return d.date; })); | |
| y.domain([0, d3.max(data, function(d) { return 100; })]); //d.close; | |
| // Add the valueline path. | |
| const path = svg.append("path") | |
| .data([data]) | |
| .attr("class", lineClass) | |
| .attr("d", valueline); | |
| if (bDrawPoints) { | |
| svg.append('g').selectAll('circle') | |
| .data(data.reverse()) | |
| .enter().append('circle') | |
| .on("click", function(d) { return handleMouseClick(d)}) | |
| .on("mouseover", function(d) {return handleMouseOver(d)}) | |
| .on("mouseover", function(d) {return handleMouseOut(d)}) | |
| .attr("cx", function(d) { return x(d.date) }) | |
| .attr("cy", function(d) { return y(d.close) }) | |
| .attr("r", 0) | |
| .attr("class","datapoint") | |
| .style("opacity", function(d){ return (d.selected) ? 1 : 1}) | |
| .style("fill", "white") | |
| .style("stroke", function(d) { return "#000" }) | |
| .style("pointer-events", "all") | |
| .style("cursor", "pointer") | |
| .transition() | |
| .duration(1000) | |
| .delay( function(d,i){ return 250 + ( 750 * i) }) | |
| .attr("r", 10); | |
| } | |
| } |
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