{"id":20342,"date":"2022-11-18T22:17:49","date_gmt":"2022-11-18T22:17:49","guid":{"rendered":"https:\/\/www.economicsobservatory.com\/test\/?post_type=question&#038;p=20342"},"modified":"2022-11-18T22:43:09","modified_gmt":"2022-11-18T22:43:09","slug":"test-elementor","status":"publish","type":"question","link":"https:\/\/www.economicsobservatory.com\/test\/test-elementor","title":{"rendered":"Test Elementor"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"20342\" class=\"elementor elementor-20342\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-623b41f elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"623b41f\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c1d79d4\" data-id=\"c1d79d4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0668e07 animated-slow elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"0668e07\" data-element_type=\"widget\" data-settings=\"{&quot;sticky&quot;:&quot;top&quot;,&quot;_animation&quot;:&quot;bounceIn&quot;,&quot;_animation_delay&quot;:800,&quot;sticky_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;,&quot;mobile&quot;],&quot;sticky_offset&quot;:0,&quot;sticky_effects_offset&quot;:0}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.18.0 - 08-12-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h1 class=\"elementor-heading-title elementor-size-default\">Charts<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3368d84 elementor-widget elementor-widget-html\" data-id=\"3368d84\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"grid_items\"><!-- INJECT GRID ITEMS HERE, WITH A CLASS \"grid_item\"--><\/div>   \n\n<script src=\"https:\/\/cdn.jsdelivr.net\/npm\/vega@5.17.0\"><\/script>\n  <script src=\"https:\/\/cdn.jsdelivr.net\/npm\/vega-lite@4.17.0\"><\/script>\n  <script src=\"https:\/\/cdn.jsdelivr.net\/npm\/vega-embed@6.12.2\"><\/script>\n  \n  <style>\n      \/* Richard Davies\nECO Data Bub \nVersion 1\nCSS\nOctober 2022 *\/\n\n\/* import fonts *\/\n@import url(https:\/\/fonts.googleapis.com\/css2?family=Crimson+Text&display=swap);\n@import url('https:\/\/fonts.googleapis.com\/css2?family=Catamaran:wght@900&display=swap');\n\n\/* General stuff *\/\nbody {\n  background-color: rgb(240,240,240);\n  font-family: \"Crimson Text\";\n\tfont-weight: 400;\n\tcolor: #323232;\n\tmax-width: 1800px; \n\tmargin: 0 auto 0 auto !important;\n\tpadding: 0 5 0 5; \n\tfloat: none !important; \n }\n\np {\n\tfont-size: 16px;\n\tmargin: 5px 5px;\n\tline-height: 22.4px;\n\tcolor: #323232;\n}\n\nh2 {\n\tfont-family: \"Heebo\";\n\tfont-size: 16px;\n\tcolor: #2d3033;\n\tmargin: 0;\n\tfont-weight: 1000;\n}\n\n\/* grid stuff *\/\n\n.grid_items {\n  background-color: rgb(240, 240, 240);\n  padding: 2px;\n  display: grid;\n  grid-template-columns: 100%;\n  max-width: 800px; \n  margin: 0 auto 0 auto !important;\n  padding: 0 5 0 5; \n  grid-column-gap: 5px;\n  grid-row-gap: 20px;\n}\n\n.grid_items > div {\n  background-color: #ffffff;\n  padding: 2px;\n  border-radius: 4px;\n  width: 180px;\n  height: 225px;\n  margin:auto;\n}\n\n\/* Screen sizes *\/\n\n\/* One column*\/\n@media only screen and (min-width: 250px) {\n  .grid_items {\n    grid-template-columns: 47.5% 47.5%;;\n    max-width: 420px; \n    margin: 0 auto 0 auto !important;\n\t  padding: 0 5 0 5; \n    grid-column-gap: 10px;\n    grid-row-gap: 10px;\n    text-align: center;\n  }\n\n  .wrap {\n    grid-template-columns: 100%;\n    max-width: 420px; \n    margin: 0 auto 0 auto !important;\n\t  padding: 0 5 0 5; \n    grid-column-gap: 10px;\n    grid-row-gap: 40px;\n    text-align: center;\n  }\n}\n\n\/* Two columns*\/\n@media only screen and (min-width: 800px) {\n  .grid_items, .wrap {\n    grid-template-columns: 23% 23% 23% 23%;\n    max-width: 900px; \n    grid-row-gap: 40px;\n    text-align: left;\n  }\n}\n\n\/* links as buttons *\/\n\n.hubButtonData, .hubButtonArticles {\n  font-family: MetricWeb,sans-serif;\n  line-height: 12px;\n  font-weight: 400;\n  border-radius: 5px;\n  font-size: 12px;\n  margin: 0px 10px 0px 20px;\n\n  box-sizing: content-box;\n  align-items: flex-start;\n  display: inline-block;\n  \n  text-decoration: none;\n  max-width: 100px;\n  outline-offset: 2px;\n  overflow: hidden;\n  padding: 5px 12px;\n  text-align: left;\n    \n  white-space: nowrap;\n\n  color: rgb(250, 250, 250) !important;\n  opacity: 0.8;\n\n  text-decoration: none !important;\n}\n\n\n.hubButtonData {\n  background-color: rgb(50, 150, 167);\n }\n\n.hubButtonArticles {\n  background-color: rgb(110, 110, 200);\n  text-decoration: none !important;\n}\n\n\n  <\/style>\n  \n  <script>\n      \/\/ RICHARD DAVIES\n\/\/ DATA SCIENCE FOR ECONOMISTS\n\n\/\/ PURPOSE: JS DOWNLOADER THAT RUNS FROM ONS AND MAKES DIVS TO ACCOMODATE CHARTS.\n\n\n\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\/\/ STEP 1. READS IN A CSV FILE THAT HAS ALL THE INFO NEEDED TO MAKE EACH CHART.\n\/\/ ** This creates an array \"SeriesList\" that is used to tailor each chart spec\n\n\/\/ First, read in the info on the series that we want:\nvar urlCharts = \"https:\/\/raw.githubusercontent.com\/RDeconomist\/RDeconomist.github.io\/main\/data\/uk\/onsDataHubSeries.csv\";\nvar request = new XMLHttpRequest();  \nrequest.open(\"GET\", urlCharts, false);   \nrequest.send(null);  \n\n\/\/ Now make a new array, and fill it up with the info:\nvar seriesList = new Array();\nvar jsonObject = request.responseText.split(\/\\r?\\n|\\r\/);\nfor (var i = 0; i < jsonObject.length; i++) {\n    seriesList.push(jsonObject[i].split(','));\n}\nconsole.log(seriesList); \/\/ This is our full series list:\n\n\/\/ Remove any rows that relate to charts we do not want to make:\n\/\/ In the CSV there is a column, rank, that runs from 1 to 5. \n\/\/ Give charts that we DO NOT want to appear, a rank of 5. \nfor (var i = 1; i < seriesList.length-1; i++) {\n    if(seriesList[i][13]>4){\n        delete seriesList[i]\n    }\n}\n\/\/ Retrived data from csv file content\nconsole.log(seriesList);\n\/\/ STEP 1 - END \/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\n\n\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\/\/ STEP 2 - LOOP ACROSS THE SERIES TO MAKE THE CHARTS\n\n\nfor(let i=1; i<seriesList.length -1; i++){ \/\/ Start the loop at 1, since there is a header row. And end at length -1 for same reason.\n  \n    \/\/ Make the URL:\n    \/\/ Working example: https:\/\/api.allorigins.win\/raw?url=https:\/\/api.ons.gov.uk\/timeseries\/ABMI\/dataset\/UKEA\/data\n    let x = seriesList[i][0]; \/\/ Thie selects out series\n    let y = seriesList[i][1]; \/\/ This selects our dataset\n    let urlRaw = `https:\/\/api.ons.gov.uk\/timeseries\/${x}\/dataset\/${y}\/data`; \/\/ This a \"template literal\" that we will fill in each iteration of the loop.\n    let corsHelper = \"https:\/\/api.allorigins.win\/raw?url=\"; \/\/ This is a helper url that helps us get past \"CORS\" problems\n    let urlUse = corsHelper+urlRaw; \/\/ The final URL that we will use in this iteration of the loop. \n\n    \/\/ Set a base spec::\n    \/\/ This has lots of gaps in it, that the subsequent code will fill up. \n    \/\/ This is how we take one spec, and end up with different tailored charts.\n    let spec = {\n        \"$schema\": \"https:\/\/vega.github.io\/schema\/vega-lite\/v5.json\",\n        \"title\": {\n            \"text\": \"\", \/\/ This is injected via code, added from the csv that we load above.\n            \"subtitle\": [\"\",\"\"], \/\/ Added from csv\n            \"subtitleFontStyle\":\"italic\",\n            \"subtitleFontSize\":10,\n            \"anchor\": \"start\",\n            \"color\": \"black\"},\n        \"view\": {\"stroke\": \"transparent\"}, \/\/ Make box around chart clear\n        \"data\":{\n            \"url\": \"\", \/\/ Added from csv\n            \"format\":{\n                \"type\": \"json\",\n                \"property\": \"quarters\"}},\n\n        \"transform\": [\n            {\"calculate\": \"datum.value\", \"as\": \"valuePlot\"},\n            \n            {\"calculate\":\"substring(datum.quarter,1)*3-1\", \"as\": \"quarter_n\"},\n            {\"calculate\":\"join([datum.year, datum.quarter_n],['-'])\", \"as\": \"date2\"},\n            {\"calculate\":\"timeParse(datum.date2, '%Y-%m')\", \"as\": \"date3\"},\n\n            {\"calculate\":\"year(datum.date3)\", \"as\": \"year\"},\n\n            {\"filter\":{\"field\":\"year\", \"gt\":\"\"}}],\n            \n        \"height\": 120,\n        \"width\": 135,\n        \"mark\": {\"type\": \"line\",  \"color\": \"\", \"interpolate\":\"\"},\n        \"encoding\": {\n            \"x\":{\"field\":\"date3\", \"type\": \"temporal\", \"title\":null, \"axis\": {\"grid\": false,}},\n            \"y\":{\"field\":\"valuePlot\", \"type\": \"quantitative\", \"title\":null, \"axis\": {\"grid\": false,\"format\":\"s\", }}}} \n  \n\n    \/\/ BUILDING THE SPEC UP INTO A SPECIFIC CHART:\n    \/\/ Now change the base spec, adding the url, and the titles\n    spec.data.url = urlUse \/\/ adding the URL\n    spec.title.text = seriesList[i][2] \/\/ adding the title\n    spec.title.subtitle[0] = seriesList[i][3] \/\/ adding the subtitle (to first part of subtitle array)\n    spec.title.subtitle[1] = seriesList[i][4] \/\/ adding the subtitle (to first part of subtitle array)\n    spec.mark.color = seriesList[i][6] \/\/ adds the colour\n    spec.transform[5].filter.gt = seriesList[i][7] \/\/ adds the start year\n    spec.mark.type = seriesList[i][14] \/\/ adds the mark type: line, bar etc.\n\n    \/\/ STEP 2a - TWEAKS TO CHARTS \n    \/\/ TO DO - DEAL WITH BILLIONS SOMEHOW\n    \/\/ Amend value variable if in GBP, this is to prevent values with lots of ,000:\n    \/\/ if(seriesList[i][4]==\"GBP million\"){\n    \/\/     spec.transform[0].calculate = \"datum.value*1000000\"\n    \/\/     spec.encoding.y.axis.format = \"\u00a3s\";\n    \/\/ }\n\n    \/\/ Base Rate chart - interpolation:\n    if(seriesList[i][2]==\"Base Rate\"){\n        \/\/ Make the interpolation step wise\n        spec.mark.interpolate = \"step\"\n    };\n\n    \/\/ Daily data charts:\n    \/\/ Keep the daily data, but use it monthly and show the mean value:\n    if(seriesList[i][8] = \"daily\"){\n        spec.encoding.x.timeUnit = \"year\"\n        spec.encoding.y.aggregate = \"mean\"\n    }\n\n    \/\/ Charts that do not have an ONS API.\n    \/\/ Record their series numbers as XYZ\n    if(seriesList[i][1]==\"XYZ\"){\n        \/\/ Correct the URL:\n        spec.data.url = seriesList[i][11];\n        \/\/ Correct the data type:\n        spec.data.format.type = seriesList[i][12];\n        \/\/ Correct the x encoding:\n        \/\/ Note that cannot use \"year\", since this is made above\n        spec.encoding.x.field = \"dateYear\";\n        \/\/ Cull the transform and property, as not needed:\n        delete spec.transform;\n        delete spec.data.format.property;\n        \/\/ Correct the encoding:\n        spec.encoding.y.field = \"value\";\n        spec.encoding.y.axis.format = \"s\";\n    }\n\n    console.log(spec)\n\n    \/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\n    \/\/ Next add a new div, this will house our CHART AND BUTTONS:\n    var newDiv = document.createElement(\"div\"); \/\/ create the div\n    newDiv.id = \"chartHousing\"+i; \/\/ Give it a unique id\n    newDiv.className = 'grid_item'; \/\/ Give it a common class\n    \/\/ document.body.appendChild(newDiv); \/\/ This line adds the div to the body\n    document.querySelector('.grid_items').appendChild(newDiv); \/\/ Add the div WITHIN the existing div that has class grid_items\n\n    \/\/ Next add a new div, this will house our CHART\n    var newInnerDiv = document.createElement(\"div\"); \/\/ create the div\n    newInnerDiv.id = \"chart\"+i; \/\/ Give it a unique id\n    newInnerDiv.className = 'grid_InnerItem'; \/\/ Give it a common class\n    \/\/ document.body.appendChild(newDiv); \/\/ This line adds the div to the body\n    document.getElementById('chartHousing'+i).appendChild(newInnerDiv); \/\/ Add the div WITHIN the existing div that has class grid_items\n\n    \/\/ Next add an a tag within this new div.\n    var myDiv = document.getElementById('chartHousing'+i);\n    console.log(myDiv);\n    \n    var aTag = document.createElement('a');            \/\/ generate node\n    aTag.setAttribute('href', seriesList[i][9]);      \/\/ set attribute\n    aTag.textContent = \"Data\";\n    aTag.className = \"hubButtonData\"\n    console.log(aTag);\n    myDiv.appendChild(aTag);\n\n    var aTag2 = document.createElement('a');            \/\/ generate node\n    aTag2.setAttribute('href', seriesList[i][10]);      \/\/ set attribute\n    aTag2.textContent = \"Articles\";\n    aTag2.className = \"hubButtonArticles\"\n    console.log(aTag2);\n    myDiv.appendChild(aTag2);\n\n    \/\/ Embed the chart made in this iteration of the loop, into the div made in this iteration of the loop:\n    vegaEmbed(\"#chart\"+i, spec, {\"actions\": false})\n}\n\n\/\/\/ END \/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n  <\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"featured_media":0,"template":"elementor_header_footer","categories":[],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.7 - 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