From 3475d40c28929189af830fdc6222a44ea01b9dc0 Mon Sep 17 00:00:00 2001
From: Ben Anderson <dataknut@icloud.com>
Date: Thu, 6 Oct 2022 18:49:11 +0100
Subject: [PATCH] changed to self-contained for github pages rendering
---
docs/UK_GDP_emissions.html | 2453 ++++++++++++++++-
gdpAndEmissions/UK_GDP_emissions.html | 730 -----
gdpAndEmissions/UK_GDP_emissions.qmd | 1 +
.../figure-html/fig-ukPlotCons-1.png | Bin 76005 -> 0 bytes
.../figure-html/fig-ukPlotConsPcc-1.png | Bin 78486 -> 0 bytes
.../figure-html/fig-ukPlotProd-1.png | Bin 75096 -> 0 bytes
.../figure-html/fig-ukPlotProdPcc-1.png | Bin 78783 -> 0 bytes
.../libs/bootstrap/bootstrap-icons.css | 1704 ------------
.../libs/bootstrap/bootstrap-icons.woff | Bin 137124 -> 0 bytes
.../libs/bootstrap/bootstrap.min.css | 10 -
.../libs/bootstrap/bootstrap.min.js | 7 -
.../libs/clipboard/clipboard.min.js | 7 -
.../libs/quarto-html/anchor.min.js | 9 -
.../libs/quarto-html/popper.min.js | 6 -
.../quarto-syntax-highlighting.css | 167 --
.../libs/quarto-html/quarto.js | 664 -----
.../libs/quarto-html/tippy.css | 1 -
.../libs/quarto-html/tippy.umd.min.js | 2 -
18 files changed, 2424 insertions(+), 3337 deletions(-)
delete mode 100644 gdpAndEmissions/UK_GDP_emissions.html
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/figure-html/fig-ukPlotCons-1.png
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/figure-html/fig-ukPlotConsPcc-1.png
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/figure-html/fig-ukPlotProd-1.png
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/figure-html/fig-ukPlotProdPcc-1.png
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap-icons.css
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap-icons.woff
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.css
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.js
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/clipboard/clipboard.min.js
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/anchor.min.js
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/popper.min.js
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/quarto-syntax-highlighting.css
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/quarto.js
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/tippy.css
delete mode 100644 gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/tippy.umd.min.js
diff --git a/docs/UK_GDP_emissions.html b/docs/UK_GDP_emissions.html
index 4f90577..e28f54b 100644
--- a/docs/UK_GDP_emissions.html
+++ b/docs/UK_GDP_emissions.html
@@ -83,16 +83,2409 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</style>
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-<script src="UK_GDP_emissions_files/libs/quarto-html/anchor.min.js"></script>
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-<script src="UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.js"></script>
-<link href="UK_GDP_emissions_files/libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
-<link href="UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.css" rel="stylesheet">
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+ continue;
+ }
+
+ const clone = child.cloneNode(true);
+ clone.style.opacity = 1;
+ clone.style.display = null;
+ toggleContents.append(clone);
+ }
+ toggleContents.style.height = "0px";
+ toggleContainer.append(toggleContents);
+ el.parentElement.prepend(toggleContainer);
+
+ // Process clicks
+ let tocShowing = false;
+ // Allow the caller to control whether this is dismissed
+ // when it is clicked (e.g. sidebar navigation supports
+ // opening and closing the nav tree, so don't dismiss on click)
+ const clickEl = placeholderDescriptor.dismissOnClick
+ ? toggleContainer
+ : toggleTitle;
+
+ const closeToggle = () => {
+ if (tocShowing) {
+ toggleContainer.classList.remove("expanded");
+ toggleContents.style.height = "0px";
+ tocShowing = false;
+ }
+ };
+
+ const positionToggle = () => {
+ // position the element (top left of parent, same width as parent)
+ const elRect = el.getBoundingClientRect();
+ toggleContainer.style.left = `${elRect.left}px`;
+ toggleContainer.style.top = `${elRect.top}px`;
+ toggleContainer.style.width = `${elRect.width}px`;
+ };
+
+ // Get rid of any expanded toggle if the user scrolls
+ window.document.addEventListener(
+ "scroll",
+ throttle(() => {
+ closeToggle();
+ }, 50)
+ );
+
+ // Handle positioning of the toggle
+ window.addEventListener(
+ "resize",
+ throttle(() => {
+ positionToggle();
+ }, 50)
+ );
+ positionToggle();
+
+ // Process the click
+ clickEl.onclick = () => {
+ if (!tocShowing) {
+ toggleContainer.classList.add("expanded");
+ toggleContents.style.height = null;
+ tocShowing = true;
+ } else {
+ closeToggle();
+ }
+ };
+ };
+
+ // Converts a sidebar from a menu back to a sidebar
+ const convertToSidebar = () => {
+ for (const child of el.children) {
+ child.style.opacity = 1;
+ clone.style.display = null;
+ }
+
+ const placeholderEl = window.document.getElementById(
+ placeholderDescriptor.id
+ );
+ if (placeholderEl) {
+ placeholderEl.remove();
+ }
+
+ el.classList.remove("rollup");
+ };
+
+ if (isReaderMode()) {
+ convertToMenu();
+ isVisible = false;
+ } else {
+ if (!isVisible) {
+ // If the element is current not visible reveal if there are
+ // no conflicts with overlay regions
+ if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) {
+ convertToSidebar();
+ isVisible = true;
+ }
+ } else {
+ // If the element is visible, hide it if it conflicts with overlay regions
+ // and insert a placeholder toggle (or if we're in reader mode)
+ if (inHiddenRegion(elTop, elBottom, hiddenRegions)) {
+ convertToMenu();
+ isVisible = false;
+ }
+ }
+ }
+ }
+ };
+ };
+
+ // Find any conflicting margin elements and add margins to the
+ // top to prevent overlap
+ const marginChildren = window.document.querySelectorAll(
+ ".column-margin.column-container > * "
+ );
+ let lastBottom = 0;
+ for (const marginChild of marginChildren) {
+ const top = marginChild.getBoundingClientRect().top;
+ if (top < lastBottom) {
+ const margin = lastBottom - top;
+ marginChild.style.marginTop = `${margin}px`;
+ }
+ lastBottom = top + marginChild.getBoundingClientRect().height;
+ }
+
+ // Manage the visibility of the toc and the sidebar
+ const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, {
+ id: "quarto-toc-toggle",
+ titleSelector: "#toc-title",
+ dismissOnClick: true,
+ });
+ const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, {
+ id: "quarto-sidebarnav-toggle",
+ titleSelector: ".title",
+ dismissOnClick: false,
+ });
+ let tocLeftScrollVisibility;
+ if (leftTocEl) {
+ tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, {
+ id: "quarto-lefttoc-toggle",
+ titleSelector: "#toc-title",
+ dismissOnClick: true,
+ });
+ }
+
+ // Find the first element that uses formatting in special columns
+ const conflictingEls = window.document.body.querySelectorAll(
+ '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]'
+ );
+
+ // Filter all the possibly conflicting elements into ones
+ // the do conflict on the left or ride side
+ const arrConflictingEls = Array.from(conflictingEls);
+ const leftSideConflictEls = arrConflictingEls.filter((el) => {
+ if (el.tagName === "ASIDE") {
+ return false;
+ }
+ return Array.from(el.classList).find((className) => {
+ return (
+ className !== "column-body" &&
+ className.startsWith("column-") &&
+ !className.endsWith("right") &&
+ !className.endsWith("container") &&
+ className !== "column-margin"
+ );
+ });
+ });
+ const rightSideConflictEls = arrConflictingEls.filter((el) => {
+ if (el.tagName === "ASIDE") {
+ return true;
+ }
+
+ const hasMarginCaption = Array.from(el.classList).find((className) => {
+ return className == "margin-caption";
+ });
+ if (hasMarginCaption) {
+ return true;
+ }
+
+ return Array.from(el.classList).find((className) => {
+ return (
+ className !== "column-body" &&
+ !className.endsWith("container") &&
+ className.startsWith("column-") &&
+ !className.endsWith("left")
+ );
+ });
+ });
+
+ const kOverlapPaddingSize = 10;
+ function toRegions(els) {
+ return els.map((el) => {
+ const top =
+ el.getBoundingClientRect().top +
+ document.documentElement.scrollTop -
+ kOverlapPaddingSize;
+ return {
+ top,
+ bottom: top + el.scrollHeight + 2 * kOverlapPaddingSize,
+ };
+ });
+ }
+
+ const hideOverlappedSidebars = () => {
+ marginScrollVisibility(toRegions(rightSideConflictEls));
+ sidebarScrollVisiblity(toRegions(leftSideConflictEls));
+ if (tocLeftScrollVisibility) {
+ tocLeftScrollVisibility(toRegions(leftSideConflictEls));
+ }
+ };
+
+ window.quartoToggleReader = () => {
+ // Applies a slow class (or removes it)
+ // to update the transition speed
+ const slowTransition = (slow) => {
+ const manageTransition = (id, slow) => {
+ const el = document.getElementById(id);
+ if (el) {
+ if (slow) {
+ el.classList.add("slow");
+ } else {
+ el.classList.remove("slow");
+ }
+ }
+ };
+
+ manageTransition("TOC", slow);
+ manageTransition("quarto-sidebar", slow);
+ };
+
+ const readerMode = !isReaderMode();
+ setReaderModeValue(readerMode);
+
+ // If we're entering reader mode, slow the transition
+ if (readerMode) {
+ slowTransition(readerMode);
+ }
+ highlightReaderToggle(readerMode);
+ hideOverlappedSidebars();
+
+ // If we're exiting reader mode, restore the non-slow transition
+ if (!readerMode) {
+ slowTransition(!readerMode);
+ }
+ };
+
+ const highlightReaderToggle = (readerMode) => {
+ const els = document.querySelectorAll(".quarto-reader-toggle");
+ if (els) {
+ els.forEach((el) => {
+ if (readerMode) {
+ el.classList.add("reader");
+ } else {
+ el.classList.remove("reader");
+ }
+ });
+ }
+ };
+
+ const setReaderModeValue = (val) => {
+ if (window.location.protocol !== "file:") {
+ window.localStorage.setItem("quarto-reader-mode", val);
+ } else {
+ localReaderMode = val;
+ }
+ };
+
+ const isReaderMode = () => {
+ if (window.location.protocol !== "file:") {
+ return window.localStorage.getItem("quarto-reader-mode") === "true";
+ } else {
+ return localReaderMode;
+ }
+ };
+ let localReaderMode = null;
+
+ // Walk the TOC and collapse/expand nodes
+ // Nodes are expanded if:
+ // - they are top level
+ // - they have children that are 'active' links
+ // - they are directly below an link that is 'active'
+ const walk = (el, depth) => {
+ // Tick depth when we enter a UL
+ if (el.tagName === "UL") {
+ depth = depth + 1;
+ }
+
+ // It this is active link
+ let isActiveNode = false;
+ if (el.tagName === "A" && el.classList.contains("active")) {
+ isActiveNode = true;
+ }
+
+ // See if there is an active child to this element
+ let hasActiveChild = false;
+ for (child of el.children) {
+ hasActiveChild = walk(child, depth) || hasActiveChild;
+ }
+
+ // Process the collapse state if this is an UL
+ if (el.tagName === "UL") {
+ if (depth === 1 || hasActiveChild || prevSiblingIsActiveLink(el)) {
+ el.classList.remove("collapse");
+ } else {
+ el.classList.add("collapse");
+ }
+
+ // untick depth when we leave a UL
+ depth = depth - 1;
+ }
+ return hasActiveChild || isActiveNode;
+ };
+
+ // walk the TOC and expand / collapse any items that should be shown
+
+ if (tocEl) {
+ walk(tocEl, 0);
+ updateActiveLink();
+ }
+
+ // Throttle the scroll event and walk peridiocally
+ window.document.addEventListener(
+ "scroll",
+ throttle(() => {
+ if (tocEl) {
+ updateActiveLink();
+ walk(tocEl, 0);
+ }
+ if (!isReaderMode()) {
+ hideOverlappedSidebars();
+ }
+ }, 5)
+ );
+ window.addEventListener(
+ "resize",
+ throttle(() => {
+ if (!isReaderMode()) {
+ hideOverlappedSidebars();
+ }
+ }, 10)
+ );
+ hideOverlappedSidebars();
+ highlightReaderToggle(isReaderMode());
+});
+
+function throttle(func, wait) {
+ let waiting = false;
+ return function () {
+ if (!waiting) {
+ func.apply(this, arguments);
+ waiting = true;
+ setTimeout(function () {
+ waiting = false;
+ }, wait);
+ }
+ };
+}
+</script>
+<script>/**
+ * @popperjs/core v2.11.4 - MIT License
+ */
+
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).Popper={})}(this,(function(e){"use strict";function t(e){if(null==e)return window;if("[object Window]"!==e.toString()){var t=e.ownerDocument;return t&&t.defaultView||window}return e}function n(e){return e instanceof t(e).Element||e instanceof Element}function r(e){return e instanceof t(e).HTMLElement||e instanceof HTMLElement}function o(e){return"undefined"!=typeof ShadowRoot&&(e instanceof t(e).ShadowRoot||e instanceof ShadowRoot)}var i=Math.max,a=Math.min,s=Math.round;function f(e,t){void 0===t&&(t=!1);var n=e.getBoundingClientRect(),o=1,i=1;if(r(e)&&t){var a=e.offsetHeight,f=e.offsetWidth;f>0&&(o=s(n.width)/f||1),a>0&&(i=s(n.height)/a||1)}return{width:n.width/o,height:n.height/i,top:n.top/i,right:n.right/o,bottom:n.bottom/i,left:n.left/o,x:n.left/o,y:n.top/i}}function c(e){var 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s=`scroll${n[0].toUpperCase()+n.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(ht),this._element.classList.add(ct,lt),this._element.style[n]="",j.trigger(this._element,"shown.bs.collapse")}),this._element,!0),this._element.style[n]=`${this._element[s]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(j.trigger(this._element,"hide.bs.collapse").defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,u(this._element),this._element.classList.add(ht),this._element.classList.remove(ct,lt);const e=this._triggerArray.length;for(let t=0;t<e;t++){const e=this._triggerArray[t],i=n(e);i&&!this._isShown(i)&&this._addAriaAndCollapsedClass([e],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(ht),this._element.classList.add(ct),j.trigger(this._element,"hidden.bs.collapse")}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(lt)}_getConfig(t){return(t={...rt,...U.getDataAttributes(this._element),...t}).toggle=Boolean(t.toggle),t.parent=r(t.parent),a(ot,t,at),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=V.find(ut,this._config.parent);V.find(ft,this._config.parent).filter((e=>!t.includes(e))).forEach((t=>{const e=n(t);e&&this._addAriaAndCollapsedClass([t],this._isShown(e))}))}_addAriaAndCollapsedClass(t,e){t.length&&t.forEach((t=>{e?t.classList.remove(dt):t.classList.add(dt),t.setAttribute("aria-expanded",e)}))}static 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t?(t.nodeName||"").toLowerCase():null}function Wt(t){if(null==t)return window;if("[object Window]"!==t.toString()){var e=t.ownerDocument;return e&&e.defaultView||window}return t}function $t(t){return t instanceof Wt(t).Element||t instanceof Element}function zt(t){return t instanceof Wt(t).HTMLElement||t instanceof HTMLElement}function qt(t){return"undefined"!=typeof ShadowRoot&&(t instanceof Wt(t).ShadowRoot||t instanceof ShadowRoot)}const Ft={name:"applyStyles",enabled:!0,phase:"write",fn:function(t){var e=t.state;Object.keys(e.elements).forEach((function(t){var i=e.styles[t]||{},n=e.attributes[t]||{},s=e.elements[t];zt(s)&&Rt(s)&&(Object.assign(s.style,i),Object.keys(n).forEach((function(t){var e=n[t];!1===e?s.removeAttribute(t):s.setAttribute(t,!0===e?"":e)})))}))},effect:function(t){var e=t.state,i={popper:{position:e.options.strategy,left:"0",top:"0",margin:"0"},arrow:{position:"absolute"},reference:{}};return 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Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Re(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function We(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?Be:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},Be,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof i?i(a.options):i;d(),a.options=Object.assign({},o,a.options,s),a.scrollParents={reference:$t(t)?Ae(t):t.contextElement?Ae(t.contextElement):[],popper:Ae(e)};var r,c,u=function(t){var e=He(t);return Bt.reduce((function(t,i){return t.concat(e.filter((function(t){return t.phase===i})))}),[])}((r=[].concat(n,a.options.modifiers),c=r.reduce((function(t,e){var i=t[e.name];return 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RegExp("ArrowUp|ArrowDown|Escape"),Ge="click.bs.dropdown.data-api",Ze="keydown.bs.dropdown.data-api",Je="show",ti='[data-bs-toggle="dropdown"]',ei=".dropdown-menu",ii=m()?"top-end":"top-start",ni=m()?"top-start":"top-end",si=m()?"bottom-end":"bottom-start",oi=m()?"bottom-start":"bottom-end",ri=m()?"left-start":"right-start",ai=m()?"right-start":"left-start",li={offset:[0,2],boundary:"clippingParents",reference:"toggle",display:"dynamic",popperConfig:null,autoClose:!0},ci={offset:"(array|string|function)",boundary:"(string|element)",reference:"(string|element|object)",display:"string",popperConfig:"(null|object|function)",autoClose:"(boolean|string)"};class hi extends B{constructor(t,e){super(t),this._popper=null,this._config=this._getConfig(e),this._menu=this._getMenuElement(),this._inNavbar=this._detectNavbar()}static get Default(){return li}static get DefaultType(){return ci}static get NAME(){return Ue}toggle(){return this._isShown()?this.hide():this.show()}show(){if(c(this._element)||this._isShown(this._menu))return;const t={relatedTarget:this._element};if(j.trigger(this._element,"show.bs.dropdown",t).defaultPrevented)return;const e=hi.getParentFromElement(this._element);this._inNavbar?U.setDataAttribute(this._menu,"popper","none"):this._createPopper(e),"ontouchstart"in document.documentElement&&!e.closest(".navbar-nav")&&[].concat(...document.body.children).forEach((t=>j.on(t,"mouseover",d))),this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),j.trigger(this._element,"shown.bs.dropdown",t)}hide(){if(c(this._element)||!this._isShown(this._menu))return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){j.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented||("ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),U.removeDataAttribute(this._menu,"popper"),j.trigger(this._element,"hidden.bs.dropdown",t))}_getConfig(t){if(t={...this.constructor.Default,...U.getDataAttributes(this._element),...t},a(Ue,t,this.constructor.DefaultType),"object"==typeof t.reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ue.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(t){if(void 0===Fe)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let e=this._element;"parent"===this._config.reference?e=t:o(this._config.reference)?e=r(this._config.reference):"object"==typeof this._config.reference&&(e=this._config.reference);const i=this._getPopperConfig(),n=i.modifiers.find((t=>"applyStyles"===t.name&&!1===t.enabled));this._popper=qe(e,this._menu,i),n&&U.setDataAttribute(this._menu,"popper","static")}_isShown(t=this._element){return t.classList.contains(Je)}_getMenuElement(){return V.next(this._element,ei)[0]}_getPlacement(){const t=this._element.parentNode;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=V.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(l);i.length&&v(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(t&&(2===t.button||"keyup"===t.type&&"Tab"!==t.key))return;const e=V.find(ti);for(let i=0,n=e.length;i<n;i++){const n=hi.getInstance(e[i]);if(!n||!1===n._config.autoClose)continue;if(!n._isShown())continue;const s={relatedTarget:n._element};if(t){const e=t.composedPath(),i=e.includes(n._menu);if(e.includes(n._element)||"inside"===n._config.autoClose&&!i||"outside"===n._config.autoClose&&i)continue;if(n._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;"click"===t.type&&(s.clickEvent=t)}n._completeHide(s)}}static getParentFromElement(t){return n(t)||t.parentNode}static dataApiKeydownHandler(t){if(/input|textarea/i.test(t.target.tagName)?t.key===Ke||t.key!==Ve&&(t.key!==Ye&&t.key!==Xe||t.target.closest(ei)):!Qe.test(t.key))return;const e=this.classList.contains(Je);if(!e&&t.key===Ve)return;if(t.preventDefault(),t.stopPropagation(),c(this))return;const i=this.matches(ti)?this:V.prev(this,ti)[0],n=hi.getOrCreateInstance(i);if(t.key!==Ve)return t.key===Xe||t.key===Ye?(e||n.show(),void n._selectMenuItem(t)):void(e&&t.key!==Ke||hi.clearMenus());n.hide()}}j.on(document,Ze,ti,hi.dataApiKeydownHandler),j.on(document,Ze,ei,hi.dataApiKeydownHandler),j.on(document,Ge,hi.clearMenus),j.on(document,"keyup.bs.dropdown.data-api",hi.clearMenus),j.on(document,Ge,ti,(function(t){t.preventDefault(),hi.getOrCreateInstance(this).toggle()})),g(hi);const di=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",ui=".sticky-top";class fi{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,"paddingRight",(e=>e+t)),this._setElementAttributes(di,"paddingRight",(e=>e+t)),this._setElementAttributes(ui,"marginRight",(e=>e-t))}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=`${i(Number.parseFloat(s))}px`}))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(di,"paddingRight"),this._resetElementAttributes(ui,"marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)}))}_applyManipulationCallback(t,e){o(t)?e(t):V.find(t,this._element).forEach(e)}isOverflowing(){return this.getWidth()>0}}const pi={className:"modal-backdrop",isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},mi={className:"string",isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"},gi="show",_i="mousedown.bs.backdrop";class bi{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&u(this._getElement()),this._getElement().classList.add(gi),this._emulateAnimation((()=>{_(t)}))):_(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove(gi),this._emulateAnimation((()=>{this.dispose(),_(t)}))):_(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...pi,..."object"==typeof t?t:{}}).rootElement=r(t.rootElement),a("backdrop",t,mi),t}_append(){this._isAppended||(this._config.rootElement.append(this._getElement()),j.on(this._getElement(),_i,(()=>{_(this._config.clickCallback)})),this._isAppended=!0)}dispose(){this._isAppended&&(j.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){b(t,this._getElement(),this._config.isAnimated)}}const vi={trapElement:null,autofocus:!0},yi={trapElement:"element",autofocus:"boolean"},wi=".bs.focustrap",Ei="backward";class Ai{constructor(t){this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}activate(){const{trapElement:t,autofocus:e}=this._config;this._isActive||(e&&t.focus(),j.off(document,wi),j.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),j.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,j.off(document,wi))}_handleFocusin(t){const{target:e}=t,{trapElement:i}=this._config;if(e===document||e===i||i.contains(e))return;const n=V.focusableChildren(i);0===n.length?i.focus():this._lastTabNavDirection===Ei?n[n.length-1].focus():n[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ei:"forward")}_getConfig(t){return t={...vi,..."object"==typeof t?t:{}},a("focustrap",t,yi),t}}const Ti="modal",Oi="Escape",Ci={backdrop:!0,keyboard:!0,focus:!0},ki={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"},Li="hidden.bs.modal",xi="show.bs.modal",Di="resize.bs.modal",Si="click.dismiss.bs.modal",Ni="keydown.dismiss.bs.modal",Ii="mousedown.dismiss.bs.modal",Pi="modal-open",ji="show",Mi="modal-static";class Hi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._dialog=V.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new fi}static get Default(){return Ci}static get NAME(){return Ti}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||j.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add(Pi),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),j.on(this._dialog,Ii,(()=>{j.one(this._element,"mouseup.dismiss.bs.modal",(t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)}))})),this._showBackdrop((()=>this._showElement(t))))}hide(){if(!this._isShown||this._isTransitioning)return;if(j.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const t=this._isAnimated();t&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),this._focustrap.deactivate(),this._element.classList.remove(ji),j.off(this._element,Si),j.off(this._dialog,Ii),this._queueCallback((()=>this._hideModal()),this._element,t)}dispose(){[window,this._dialog].forEach((t=>j.off(t,".bs.modal"))),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new bi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_getConfig(t){return t={...Ci,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Ti,t,ki),t}_showElement(t){const e=this._isAnimated(),i=V.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,i&&(i.scrollTop=0),e&&u(this._element),this._element.classList.add(ji),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,j.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,e)}_setEscapeEvent(){this._isShown?j.on(this._element,Ni,(t=>{this._config.keyboard&&t.key===Oi?(t.preventDefault(),this.hide()):this._config.keyboard||t.key!==Oi||this._triggerBackdropTransition()})):j.off(this._element,Ni)}_setResizeEvent(){this._isShown?j.on(window,Di,(()=>this._adjustDialog())):j.off(window,Di)}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Pi),this._resetAdjustments(),this._scrollBar.reset(),j.trigger(this._element,Li)}))}_showBackdrop(t){j.on(this._element,Si,(t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())})),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(j.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains(Mi)||(n||(i.overflowY="hidden"),t.add(Mi),this._queueCallback((()=>{t.remove(Mi),n||this._queueCallback((()=>{i.overflowY=""}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!m()||i&&!t&&m())&&(this._element.style.paddingLeft=`${e}px`),(i&&!t&&!m()||!i&&t&&m())&&(this._element.style.paddingRight=`${e}px`)}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}j.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),j.one(e,xi,(t=>{t.defaultPrevented||j.one(e,Li,(()=>{l(this)&&this.focus()}))}));const i=V.findOne(".modal.show");i&&Hi.getInstance(i).hide(),Hi.getOrCreateInstance(e).toggle(this)})),R(Hi),g(Hi);const Bi="offcanvas",Ri={backdrop:!0,keyboard:!0,scroll:!1},Wi={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"},$i="show",zi=".offcanvas.show",qi="hidden.bs.offcanvas";class Fi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get NAME(){return Bi}static get Default(){return Ri}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||j.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||(new fi).hide(),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($i),this._queueCallback((()=>{this._config.scroll||this._focustrap.activate(),j.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(j.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.remove($i),this._backdrop.hide(),this._queueCallback((()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new fi).reset(),j.trigger(this._element,qi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_getConfig(t){return t={...Ri,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Bi,t,Wi),t}_initializeBackDrop(){return new bi({className:"offcanvas-backdrop",isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_addEventListeners(){j.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()}))}static jQueryInterface(t){return this.each((function(){const e=Fi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}j.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this))return;j.one(e,qi,(()=>{l(this)&&this.focus()}));const i=V.findOne(zi);i&&i!==e&&Fi.getInstance(i).hide(),Fi.getOrCreateInstance(e).toggle(this)})),j.on(window,"load.bs.offcanvas.data-api",(()=>V.find(zi).forEach((t=>Fi.getOrCreateInstance(t).show())))),R(Fi),g(Fi);const Ui=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Ki=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Xi=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!Ui.has(i)||Boolean(Vi.test(t.nodeValue)||Ki.test(t.nodeValue));const n=e.filter((t=>t instanceof RegExp));for(let t=0,e=n.length;t<e;t++)if(n[t].test(i))return!0;return!1};function Yi(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(let t=0,i=s.length;t<i;t++){const i=s[t],n=i.nodeName.toLowerCase();if(!Object.keys(e).includes(n)){i.remove();continue}const o=[].concat(...i.attributes),r=[].concat(e["*"]||[],e[n]||[]);o.forEach((t=>{Xi(t,r)||i.removeAttribute(t.nodeName)}))}return n.body.innerHTML}const Qi="tooltip",Gi=new Set(["sanitize","allowList","sanitizeFn"]),Zi={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},Ji={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},tn={animation:!0,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},en={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"},nn="fade",sn="show",on="show",rn="out",an=".tooltip-inner",ln=".modal",cn="hide.bs.modal",hn="hover",dn="focus";class un extends B{constructor(t,e){if(void 0===Fe)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._popper=null,this._config=this._getConfig(e),this.tip=null,this._setListeners()}static get Default(){return tn}static get NAME(){return Qi}static get Event(){return en}static get DefaultType(){return Zi}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(t){if(this._isEnabled)if(t){const e=this._initializeOnDelegatedTarget(t);e._activeTrigger.click=!e._activeTrigger.click,e._isWithActiveTrigger()?e._enter(null,e):e._leave(null,e)}else{if(this.getTipElement().classList.contains(sn))return void this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),j.off(this._element.closest(ln),cn,this._hideModalHandler),this.tip&&this.tip.remove(),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=j.trigger(this._element,this.constructor.Event.SHOW),e=h(this._element),i=null===e?this._element.ownerDocument.documentElement.contains(this._element):e.contains(this._element);if(t.defaultPrevented||!i)return;"tooltip"===this.constructor.NAME&&this.tip&&this.getTitle()!==this.tip.querySelector(an).innerHTML&&(this._disposePopper(),this.tip.remove(),this.tip=null);const n=this.getTipElement(),s=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME);n.setAttribute("id",s),this._element.setAttribute("aria-describedby",s),this._config.animation&&n.classList.add(nn);const o="function"==typeof this._config.placement?this._config.placement.call(this,n,this._element):this._config.placement,r=this._getAttachment(o);this._addAttachmentClass(r);const{container:a}=this._config;H.set(n,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(a.append(n),j.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=qe(this._element,n,this._getPopperConfig(r)),n.classList.add(sn);const l=this._resolvePossibleFunction(this._config.customClass);l&&n.classList.add(...l.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>{j.on(t,"mouseover",d)}));const c=this.tip.classList.contains(nn);this._queueCallback((()=>{const t=this._hoverState;this._hoverState=null,j.trigger(this._element,this.constructor.Event.SHOWN),t===rn&&this._leave(null,this)}),this.tip,c)}hide(){if(!this._popper)return;const t=this.getTipElement();if(j.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove(sn),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains(nn);this._queueCallback((()=>{this._isWithActiveTrigger()||(this._hoverState!==on&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),j.trigger(this._element,this.constructor.Event.HIDDEN),this._disposePopper())}),this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");t.innerHTML=this._config.template;const e=t.children[0];return this.setContent(e),e.classList.remove(nn,sn),this.tip=e,this.tip}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),an)}_sanitizeAndSetContent(t,e,i){const n=V.findOne(i,t);e||!n?this.setElementContent(n,e):n.remove()}setElementContent(t,e){if(null!==t)return o(e)?(e=r(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.append(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Yi(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){const t=this._element.getAttribute("data-bs-original-title")||this._config.title;return this._resolvePossibleFunction(t)}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){return e||this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof 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RegExp(`(^|\\s)${this._getBasicClassPrefix()}\\S+`,"g"),i=t.getAttribute("class").match(e);null!==i&&i.length>0&&i.map((t=>t.trim())).forEach((e=>t.classList.remove(e)))}_getBasicClassPrefix(){return"bs-tooltip"}_handlePopperPlacementChange(t){const{state:e}=t;e&&(this.tip=e.elements.popper,this._cleanTipClass(),this._addAttachmentClass(this._getAttachment(e.placement)))}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null)}static jQueryInterface(t){return this.each((function(){const e=un.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(un);const fn={...un.Default,placement:"right",offset:[0,8],trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div 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.list-group-item").forEach((t=>t.classList.add(yn))),V.prev(t,".nav-item").forEach((t=>{V.children(t,".nav-link").forEach((t=>t.classList.add(yn)))}))})),j.trigger(this._scrollElement,"activate.bs.scrollspy",{relatedTarget:t})}_clear(){V.find(wn,this._config.target).filter((t=>t.classList.contains(yn))).forEach((t=>t.classList.remove(yn)))}static jQueryInterface(t){return this.each((function(){const e=An.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}j.on(window,"load.bs.scrollspy.data-api",(()=>{V.find('[data-bs-spy="scroll"]').forEach((t=>new An(t)))})),g(An);const Tn="active",On="fade",Cn="show",kn=".active",Ln=":scope > li > .active";class xn extends B{static get NAME(){return"tab"}show(){if(this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE&&this._element.classList.contains(Tn))return;let t;const e=n(this._element),i=this._element.closest(".nav, .list-group");if(i){const e="UL"===i.nodeName||"OL"===i.nodeName?Ln:kn;t=V.find(e,i),t=t[t.length-1]}const s=t?j.trigger(t,"hide.bs.tab",{relatedTarget:this._element}):null;if(j.trigger(this._element,"show.bs.tab",{relatedTarget:t}).defaultPrevented||null!==s&&s.defaultPrevented)return;this._activate(this._element,i);const o=()=>{j.trigger(t,"hidden.bs.tab",{relatedTarget:this._element}),j.trigger(this._element,"shown.bs.tab",{relatedTarget:t})};e?this._activate(e,e.parentNode,o):o()}_activate(t,e,i){const n=(!e||"UL"!==e.nodeName&&"OL"!==e.nodeName?V.children(e,kn):V.find(Ln,e))[0],s=i&&n&&n.classList.contains(On),o=()=>this._transitionComplete(t,n,i);n&&s?(n.classList.remove(Cn),this._queueCallback(o,t,!0)):o()}_transitionComplete(t,e,i){if(e){e.classList.remove(Tn);const t=V.findOne(":scope > .dropdown-menu 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Dn="toast",Sn="hide",Nn="show",In="showing",Pn={animation:"boolean",autohide:"boolean",delay:"number"},jn={animation:!0,autohide:!0,delay:5e3};class Mn extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get DefaultType(){return Pn}static get Default(){return jn}static get NAME(){return Dn}show(){j.trigger(this._element,"show.bs.toast").defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(Sn),u(this._element),this._element.classList.add(Nn),this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.remove(In),j.trigger(this._element,"shown.bs.toast"),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this._element.classList.contains(Nn)&&(j.trigger(this._element,"hide.bs.toast").defaultPrevented||(this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.add(Sn),this._element.classList.remove(In),this._element.classList.remove(Nn),j.trigger(this._element,"hidden.bs.toast")}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this._element.classList.contains(Nn)&&this._element.classList.remove(Nn),super.dispose()}_getConfig(t){return t={...jn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}},a(Dn,t,this.constructor.DefaultType),t}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){j.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),j.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=Mn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}return R(Mn),g(Mn),{Alert:W,Button:z,Carousel:st,Collapse:pt,Dropdown:hi,Modal:Hi,Offcanvas:Fi,Popover:gn,ScrollSpy:An,Tab:xn,Toast:Mn,Tooltip:un}}));
+//# sourceMappingURL=bootstrap.bundle.min.js.map</script>
+<style type="text/css">@font-face {
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) format("woff");
+}
+.bi::before,
+[class^="bi-"]::before,
+[class*=" bi-"]::before {
+display: inline-block;
+font-family: bootstrap-icons !important;
+font-style: normal;
+font-weight: normal !important;
+font-variant: normal;
+text-transform: none;
+line-height: 1;
+vertical-align: -.125em;
+-webkit-font-smoothing: antialiased;
+-moz-osx-font-smoothing: grayscale;
+}
+.bi-123::before { content: "\f67f"; }
+.bi-alarm-fill::before { content: "\f101"; }
+.bi-alarm::before { content: "\f102"; }
+.bi-align-bottom::before { content: "\f103"; }
+.bi-align-center::before { content: "\f104"; }
+.bi-align-end::before { content: "\f105"; }
+.bi-align-middle::before { content: "\f106"; }
+.bi-align-start::before { content: "\f107"; }
+.bi-align-top::before { content: "\f108"; }
+.bi-alt::before { content: "\f109"; }
+.bi-app-indicator::before { content: "\f10a"; }
+.bi-app::before { content: "\f10b"; }
+.bi-archive-fill::before { content: "\f10c"; }
+.bi-archive::before { content: "\f10d"; }
+.bi-arrow-90deg-down::before { content: "\f10e"; }
+.bi-arrow-90deg-left::before { content: "\f10f"; }
+.bi-arrow-90deg-right::before { content: "\f110"; }
+.bi-arrow-90deg-up::before { content: "\f111"; }
+.bi-arrow-bar-down::before { content: "\f112"; }
+.bi-arrow-bar-left::before { content: "\f113"; }
+.bi-arrow-bar-right::before { content: "\f114"; }
+.bi-arrow-bar-up::before { content: "\f115"; }
+.bi-arrow-clockwise::before { content: "\f116"; }
+.bi-arrow-counterclockwise::before { content: "\f117"; }
+.bi-arrow-down-circle-fill::before { content: "\f118"; }
+.bi-arrow-down-circle::before { content: "\f119"; }
+.bi-arrow-down-left-circle-fill::before { content: "\f11a"; }
+.bi-arrow-down-left-circle::before { content: "\f11b"; }
+.bi-arrow-down-left-square-fill::before { content: "\f11c"; }
+.bi-arrow-down-left-square::before { content: "\f11d"; }
+.bi-arrow-down-left::before { content: "\f11e"; }
+.bi-arrow-down-right-circle-fill::before { content: "\f11f"; }
+.bi-arrow-down-right-circle::before { content: "\f120"; }
+.bi-arrow-down-right-square-fill::before { content: "\f121"; }
+.bi-arrow-down-right-square::before { content: "\f122"; }
+.bi-arrow-down-right::before { content: "\f123"; }
+.bi-arrow-down-short::before { content: "\f124"; }
+.bi-arrow-down-square-fill::before { content: "\f125"; }
+.bi-arrow-down-square::before { content: "\f126"; }
+.bi-arrow-down-up::before { content: "\f127"; }
+.bi-arrow-down::before { content: "\f128"; }
+.bi-arrow-left-circle-fill::before { content: "\f129"; }
+.bi-arrow-left-circle::before { content: "\f12a"; }
+.bi-arrow-left-right::before { content: "\f12b"; }
+.bi-arrow-left-short::before { content: "\f12c"; }
+.bi-arrow-left-square-fill::before { content: "\f12d"; }
+.bi-arrow-left-square::before { content: "\f12e"; }
+.bi-arrow-left::before { content: "\f12f"; }
+.bi-arrow-repeat::before { content: "\f130"; }
+.bi-arrow-return-left::before { content: "\f131"; }
+.bi-arrow-return-right::before { content: "\f132"; }
+.bi-arrow-right-circle-fill::before { content: "\f133"; }
+.bi-arrow-right-circle::before { content: "\f134"; }
+.bi-arrow-right-short::before { content: "\f135"; }
+.bi-arrow-right-square-fill::before { content: "\f136"; }
+.bi-arrow-right-square::before { content: "\f137"; }
+.bi-arrow-right::before { content: "\f138"; }
+.bi-arrow-up-circle-fill::before { content: "\f139"; }
+.bi-arrow-up-circle::before { content: "\f13a"; }
+.bi-arrow-up-left-circle-fill::before { content: "\f13b"; }
+.bi-arrow-up-left-circle::before { content: "\f13c"; }
+.bi-arrow-up-left-square-fill::before { content: "\f13d"; }
+.bi-arrow-up-left-square::before { content: "\f13e"; }
+.bi-arrow-up-left::before { content: "\f13f"; }
+.bi-arrow-up-right-circle-fill::before { content: "\f140"; }
+.bi-arrow-up-right-circle::before { content: "\f141"; }
+.bi-arrow-up-right-square-fill::before { content: "\f142"; }
+.bi-arrow-up-right-square::before { content: "\f143"; }
+.bi-arrow-up-right::before { content: "\f144"; }
+.bi-arrow-up-short::before { content: "\f145"; }
+.bi-arrow-up-square-fill::before { content: "\f146"; }
+.bi-arrow-up-square::before { content: "\f147"; }
+.bi-arrow-up::before { content: "\f148"; }
+.bi-arrows-angle-contract::before { content: "\f149"; }
+.bi-arrows-angle-expand::before { content: "\f14a"; }
+.bi-arrows-collapse::before { content: "\f14b"; }
+.bi-arrows-expand::before { content: "\f14c"; }
+.bi-arrows-fullscreen::before { content: "\f14d"; }
+.bi-arrows-move::before { content: "\f14e"; }
+.bi-aspect-ratio-fill::before { content: "\f14f"; }
+.bi-aspect-ratio::before { content: "\f150"; }
+.bi-asterisk::before { content: "\f151"; }
+.bi-at::before { content: "\f152"; }
+.bi-award-fill::before { content: "\f153"; }
+.bi-award::before { content: "\f154"; }
+.bi-back::before { content: "\f155"; }
+.bi-backspace-fill::before { content: "\f156"; }
+.bi-backspace-reverse-fill::before { content: "\f157"; }
+.bi-backspace-reverse::before { content: "\f158"; }
+.bi-backspace::before { content: "\f159"; }
+.bi-badge-3d-fill::before { content: "\f15a"; }
+.bi-badge-3d::before { content: "\f15b"; }
+.bi-badge-4k-fill::before { content: "\f15c"; }
+.bi-badge-4k::before { content: "\f15d"; }
+.bi-badge-8k-fill::before { content: "\f15e"; }
+.bi-badge-8k::before { content: "\f15f"; }
+.bi-badge-ad-fill::before { content: "\f160"; }
+.bi-badge-ad::before { content: "\f161"; }
+.bi-badge-ar-fill::before { content: "\f162"; }
+.bi-badge-ar::before { content: "\f163"; }
+.bi-badge-cc-fill::before { content: "\f164"; }
+.bi-badge-cc::before { content: "\f165"; }
+.bi-badge-hd-fill::before { content: "\f166"; }
+.bi-badge-hd::before { content: "\f167"; }
+.bi-badge-tm-fill::before { content: "\f168"; }
+.bi-badge-tm::before { content: "\f169"; }
+.bi-badge-vo-fill::before { content: "\f16a"; }
+.bi-badge-vo::before { content: "\f16b"; }
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+.bi-wrench-adjustable-circle-fill::before { content: "\f78e"; }
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+.bi-filetype-json::before { content: "\f791"; }
+.bi-filetype-pptx::before { content: "\f792"; }
+.bi-filetype-xlsx::before { content: "\f793"; }
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y%3Agrid%3Bgrid%2Dtemplate%2Dcolumns%3A1fr%201fr%7D%0A" rel="stylesheet">
</head>
@@ -156,8 +2549,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<div class="cell">
<details>
<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>dt_abs <span class="ot"><-</span> data.table<span class="sc">::</span><span class="fu">fread</span>(here<span class="sc">::</span><span class="fu">here</span>(<span class="st">"data"</span>, <span class="st">"co2-emissions-and-gdp.csv"</span>))</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>dt_pc <span class="ot"><-</span> data.table<span class="sc">::</span><span class="fu">fread</span>(here<span class="sc">::</span><span class="fu">here</span>(<span class="st">"data"</span>, <span class="st">"co2-emissions-and-gdp-per-capita.csv"</span>))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>dt_abs <span class="ot"><-</span> data.table<span class="sc">::</span><span class="fu">fread</span>(here<span class="sc">::</span><span class="fu">here</span>(<span class="st">"data"</span>, <span class="st">"co2-emissions-and-gdp.csv"</span>))</span>
+<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>dt_pc <span class="ot"><-</span> data.table<span class="sc">::</span><span class="fu">fread</span>(here<span class="sc">::</span><span class="fu">here</span>(<span class="st">"data"</span>, <span class="st">"co2-emissions-and-gdp-per-capita.csv"</span>))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</section>
@@ -167,19 +2560,19 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<div class="cell">
<details>
<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_abs[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
+<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_abs[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(plotDT, <span class="fu">aes</span>(<span class="at">y =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">GDP, PPP (constant 2017 international $)</span><span class="st">`</span>)<span class="sc">/</span><span class="dv">1000000000</span>, </span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">Annual CO2 emissions</span><span class="st">`</span>)<span class="sc">/</span><span class="dv">1000000</span>,</span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a> <span class="at">alpha =</span> Year)) <span class="sc">+</span></span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
-<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions (production-based, gT)"</span>,</span>
-<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP $bn"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions (production-based, gT)"</span>,</span>
+<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP $bn"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
<div class="cell-output-display">
<div id="fig-ukPlotProd" class="quarto-figure quarto-figure-center anchored">
<figure class="figure">
-<p><img src="UK_GDP_emissions_files/figure-html/fig-ukPlotProd-1.png" class="img-fluid figure-img" width="672"></p>
+<p><img 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" class="img-fluid figure-img" width="672"></p>
<p></p><figcaption aria-hidden="true" class="figure-caption">Figure 1: UK GDP vs production emissions over time.</figcaption><p></p>
</figure>
</div>
@@ -190,19 +2583,19 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<div class="cell">
<details>
<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_abs[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
+<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_abs[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(plotDT, <span class="fu">aes</span>(<span class="at">y =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">GDP, PPP (constant 2017 international $)</span><span class="st">`</span>)<span class="sc">/</span><span class="dv">1000000000</span>, </span>
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">Annual consumption-based CO2 emissions</span><span class="st">`</span>)<span class="sc">/</span><span class="dv">1000000</span>,</span>
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a> <span class="at">alpha =</span> Year)) <span class="sc">+</span></span>
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
-<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions (consumption-based, gT)"</span>,</span>
-<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP $bn"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions (consumption-based, gT)"</span>,</span>
+<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP $bn"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
<div class="cell-output-display">
<div id="fig-ukPlotCons" class="quarto-figure quarto-figure-center anchored">
<figure class="figure">
-<p><img src="UK_GDP_emissions_files/figure-html/fig-ukPlotCons-1.png" class="img-fluid figure-img" width="672"></p>
+<p><img src="data:image/png;base64,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" class="img-fluid figure-img" width="672"></p>
<p></p><figcaption aria-hidden="true" class="figure-caption">Figure 2: UK GDP vs consumption emissions over time.</figcaption><p></p>
</figure>
</div>
@@ -216,19 +2609,19 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<div class="cell">
<details>
<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_pc[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
+<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_pc[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(plotDT, <span class="fu">aes</span>(<span class="at">y =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">GDP per capita, PPP (constant 2017 international $)</span><span class="st">`</span>), </span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">Annual CO2 emissions (per capita)</span><span class="st">`</span>),</span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a> <span class="at">alpha =</span> Year)) <span class="sc">+</span></span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
-<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions per capita (production-based, T)"</span>,</span>
-<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP per capita $"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions per capita (production-based, T)"</span>,</span>
+<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP per capita $"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
<div class="cell-output-display">
<div id="fig-ukPlotProdPcc" class="quarto-figure quarto-figure-center anchored">
<figure class="figure">
-<p><img src="UK_GDP_emissions_files/figure-html/fig-ukPlotProdPcc-1.png" class="img-fluid figure-img" width="672"></p>
+<p><img 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" class="img-fluid figure-img" width="672"></p>
<p></p><figcaption aria-hidden="true" class="figure-caption">Figure 3: UK GDP vs production emissions over time.</figcaption><p></p>
</figure>
</div>
@@ -239,19 +2632,19 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<div class="cell">
<details>
<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_pc[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
+<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_pc[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(plotDT, <span class="fu">aes</span>(<span class="at">y =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">GDP per capita, PPP (constant 2017 international $)</span><span class="st">`</span>), </span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">Annual consumption-based CO2 emissions (per capita)</span><span class="st">`</span>),</span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a> <span class="at">alpha =</span> Year)) <span class="sc">+</span></span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
-<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions per capita (consumption-based, T)"</span>,</span>
-<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP per capita $"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions per capita (consumption-based, T)"</span>,</span>
+<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP per capita $"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
<div class="cell-output-display">
<div id="fig-ukPlotConsPcc" class="quarto-figure quarto-figure-center anchored">
<figure class="figure">
-<p><img src="UK_GDP_emissions_files/figure-html/fig-ukPlotConsPcc-1.png" class="img-fluid figure-img" width="672"></p>
+<p><img src="data:image/png;base64,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class="img-fluid figure-img" width="672"></p>
<p></p><figcaption aria-hidden="true" class="figure-caption">Figure 4: UK GDP vs consumption emissions over time.</figcaption><p></p>
</figure>
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- <h2 id="toc-title">Table of contents</h2>
-
- <ul>
- <li><a href="#whats-all-this-about-de-growth" id="toc-whats-all-this-about-de-growth" class="nav-link active" data-scroll-target="#whats-all-this-about-de-growth">What’s all this about de-growth?</a></li>
- <li><a href="#data" id="toc-data" class="nav-link" data-scroll-target="#data">Data</a></li>
- <li><a href="#uk-absolute-gdp-emissions" id="toc-uk-absolute-gdp-emissions" class="nav-link" data-scroll-target="#uk-absolute-gdp-emissions">UK: absolute GDP & emissions</a></li>
- <li><a href="#uk-per-capita-gdp-emissions" id="toc-uk-per-capita-gdp-emissions" class="nav-link" data-scroll-target="#uk-per-capita-gdp-emissions">UK: per capita GDP & emissions</a></li>
- <li><a href="#data-descriptions" id="toc-data-descriptions" class="nav-link" data-scroll-target="#data-descriptions">Data descriptions</a></li>
- </ul>
-</nav>
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-<main class="content" id="quarto-document-content">
-
-<header id="title-block-header" class="quarto-title-block default">
-<div class="quarto-title">
-<h1 class="title">GDP & emissions - degrowthing or decoupling?</h1>
-</div>
-
-
-
-<div class="quarto-title-meta">
-
- <div>
- <div class="quarto-title-meta-heading">Author</div>
- <div class="quarto-title-meta-contents">
- <p>Ben Anderson & Tom Rushby </p>
- </div>
- </div>
-
- <div>
- <div class="quarto-title-meta-heading">Published</div>
- <div class="quarto-title-meta-contents">
- <p class="date">October 6, 2022</p>
- </div>
- </div>
-
- </div>
-
-
-</header>
-
-<div class="cell">
-
-</div>
-<section id="whats-all-this-about-de-growth" class="level1">
-<h1>What’s all this about de-growth?</h1>
-<p><sigh></p>
-</section>
-<section id="data" class="level1">
-<h1>Data</h1>
-<p>Downloaded from the awesome <a href="https://ourworldindata.org/grapher/co2-emissions-and-gdp?country=~GBR">OurWorldInData</a>.</p>
-<div class="cell">
-<details>
-<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>dt_abs <span class="ot"><-</span> data.table<span class="sc">::</span><span class="fu">fread</span>(here<span class="sc">::</span><span class="fu">here</span>(<span class="st">"data"</span>, <span class="st">"co2-emissions-and-gdp.csv"</span>))</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>dt_pc <span class="ot"><-</span> data.table<span class="sc">::</span><span class="fu">fread</span>(here<span class="sc">::</span><span class="fu">here</span>(<span class="st">"data"</span>, <span class="st">"co2-emissions-and-gdp-per-capita.csv"</span>))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-</details>
-</div>
-</section>
-<section id="uk-absolute-gdp-emissions" class="level1">
-<h1>UK: absolute GDP & emissions</h1>
-<p>First we’ll try production emissions @fig-ukPlotProd.</p>
-<div class="cell">
-<details>
-<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_abs[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
-<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(plotDT, <span class="fu">aes</span>(<span class="at">y =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">GDP, PPP (constant 2017 international $)</span><span class="st">`</span>)<span class="sc">/</span><span class="dv">1000000000</span>, </span>
-<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">Annual CO2 emissions</span><span class="st">`</span>)<span class="sc">/</span><span class="dv">1000000</span>,</span>
-<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a> <span class="at">alpha =</span> Year)) <span class="sc">+</span></span>
-<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
-<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions (production-based, gT)"</span>,</span>
-<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP $bn"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-</details>
-<div class="cell-output-display">
-<div id="fig-ukPlotProd" class="quarto-figure quarto-figure-center anchored">
-<figure class="figure">
-<p><img src="UK_GDP_emissions_files/figure-html/fig-ukPlotProd-1.png" class="img-fluid figure-img" width="672"></p>
-<p></p><figcaption aria-hidden="true" class="figure-caption">Figure 1: UK GDP vs production emissions over time.</figcaption><p></p>
-</figure>
-</div>
-</div>
-</div>
-<p>Next we’ll try consumption emissions @fig-ukPlotCons.</p>
-<p>Note that 2020 consumption-based emissions data is missing so you don’t see the downtick</p>
-<div class="cell">
-<details>
-<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_abs[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
-<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(plotDT, <span class="fu">aes</span>(<span class="at">y =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">GDP, PPP (constant 2017 international $)</span><span class="st">`</span>)<span class="sc">/</span><span class="dv">1000000000</span>, </span>
-<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">Annual consumption-based CO2 emissions</span><span class="st">`</span>)<span class="sc">/</span><span class="dv">1000000</span>,</span>
-<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a> <span class="at">alpha =</span> Year)) <span class="sc">+</span></span>
-<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
-<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions (consumption-based, gT)"</span>,</span>
-<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP $bn"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-</details>
-<div class="cell-output-display">
-<div id="fig-ukPlotCons" class="quarto-figure quarto-figure-center anchored">
-<figure class="figure">
-<p><img src="UK_GDP_emissions_files/figure-html/fig-ukPlotCons-1.png" class="img-fluid figure-img" width="672"></p>
-<p></p><figcaption aria-hidden="true" class="figure-caption">Figure 2: UK GDP vs consumption emissions over time.</figcaption><p></p>
-</figure>
-</div>
-</div>
-</div>
-</section>
-<section id="uk-per-capita-gdp-emissions" class="level1">
-<h1>UK: per capita GDP & emissions</h1>
-<p>Since we’ll be dividing everything pairwise by the same denominator, nothing much should change…</p>
-<p>First we’ll try production emissions @fig-ukPlotProdPcc.</p>
-<div class="cell">
-<details>
-<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_pc[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
-<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(plotDT, <span class="fu">aes</span>(<span class="at">y =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">GDP per capita, PPP (constant 2017 international $)</span><span class="st">`</span>), </span>
-<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">Annual CO2 emissions (per capita)</span><span class="st">`</span>),</span>
-<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a> <span class="at">alpha =</span> Year)) <span class="sc">+</span></span>
-<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
-<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions per capita (production-based, T)"</span>,</span>
-<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP per capita $"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-</details>
-<div class="cell-output-display">
-<div id="fig-ukPlotProdPcc" class="quarto-figure quarto-figure-center anchored">
-<figure class="figure">
-<p><img src="UK_GDP_emissions_files/figure-html/fig-ukPlotProdPcc-1.png" class="img-fluid figure-img" width="672"></p>
-<p></p><figcaption aria-hidden="true" class="figure-caption">Figure 3: UK GDP vs production emissions over time.</figcaption><p></p>
-</figure>
-</div>
-</div>
-</div>
-<p>Next we’ll try consumption emissions @fig-ukPlotConsPcc.</p>
-<p>Note that 2020 consumption-based emissions data is missing so you don’t see the downtick</p>
-<div class="cell">
-<details>
-<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>plotDT <span class="ot"><-</span> dt_pc[Entity <span class="sc">==</span> <span class="st">"United Kingdom"</span>]</span>
-<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(plotDT, <span class="fu">aes</span>(<span class="at">y =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">GDP per capita, PPP (constant 2017 international $)</span><span class="st">`</span>), </span>
-<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="st">`</span><span class="at">Annual consumption-based CO2 emissions (per capita)</span><span class="st">`</span>),</span>
-<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a> <span class="at">alpha =</span> Year)) <span class="sc">+</span></span>
-<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span></span>
-<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Annual CO2 emissions per capita (consumption-based, T)"</span>,</span>
-<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"GDP per capita $"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-</details>
-<div class="cell-output-display">
-<div id="fig-ukPlotConsPcc" class="quarto-figure quarto-figure-center anchored">
-<figure class="figure">
-<p><img src="UK_GDP_emissions_files/figure-html/fig-ukPlotConsPcc-1.png" class="img-fluid figure-img" width="672"></p>
-<p></p><figcaption aria-hidden="true" class="figure-caption">Figure 4: UK GDP vs consumption emissions over time.</figcaption><p></p>
-</figure>
-</div>
-</div>
-</div>
-</section>
-<section id="data-descriptions" class="level1">
-<h1>Data descriptions</h1>
-<p>Check</p>
-<p>Skim the absolute data:</p>
-<div class="cell">
-<details>
-<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>skimr<span class="sc">::</span><span class="fu">skim</span>(dt_abs)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-</details>
-<div class="cell-output cell-output-stderr">
-<pre><code>Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl`
-provided. Falling back to `character`.
-
-Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl`
-provided. Falling back to `character`.</code></pre>
-</div>
-<div class="cell-output-display">
-<table class="table table-sm table-striped">
-<caption>Data summary</caption>
-<tbody>
-<tr class="odd">
-<td style="text-align: left;">Name</td>
-<td style="text-align: left;">dt_abs</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Number of rows</td>
-<td style="text-align: left;">7795</td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">Number of columns</td>
-<td style="text-align: left;">6</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Key</td>
-<td style="text-align: left;">NULL</td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">_______________________</td>
-<td style="text-align: left;"></td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Column type frequency:</td>
-<td style="text-align: left;"></td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">character</td>
-<td style="text-align: left;">4</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">numeric</td>
-<td style="text-align: left;">2</td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">________________________</td>
-<td style="text-align: left;"></td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Group variables</td>
-<td style="text-align: left;">None</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: character</strong></p>
-<table class="table table-sm table-striped">
-<colgroup>
-<col style="width: 41%">
-<col style="width: 10%">
-<col style="width: 14%">
-<col style="width: 4%">
-<col style="width: 4%">
-<col style="width: 6%">
-<col style="width: 9%">
-<col style="width: 11%">
-</colgroup>
-<thead>
-<tr class="header">
-<th style="text-align: left;">skim_variable</th>
-<th style="text-align: right;">n_missing</th>
-<th style="text-align: right;">complete_rate</th>
-<th style="text-align: right;">min</th>
-<th style="text-align: right;">max</th>
-<th style="text-align: right;">empty</th>
-<th style="text-align: right;">n_unique</th>
-<th style="text-align: right;">whitespace</th>
-</tr>
-</thead>
-<tbody>
-<tr class="odd">
-<td style="text-align: left;">Entity</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">1.00</td>
-<td style="text-align: right;">4</td>
-<td style="text-align: right;">32</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">255</td>
-<td style="text-align: right;">0</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Code</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">1.00</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">8</td>
-<td style="text-align: right;">931</td>
-<td style="text-align: right;">225</td>
-<td style="text-align: right;">0</td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">Annual CO2 emissions</td>
-<td style="text-align: right;">479</td>
-<td style="text-align: right;">0.94</td>
-<td style="text-align: right;">1</td>
-<td style="text-align: right;">21</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">6137</td>
-<td style="text-align: right;">0</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">GDP, PPP (constant 2017 international $)</td>
-<td style="text-align: right;">1626</td>
-<td style="text-align: right;">0.79</td>
-<td style="text-align: right;">1</td>
-<td style="text-align: right;">21</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">6162</td>
-<td style="text-align: right;">0</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: numeric</strong></p>
-<table class="table table-sm table-striped">
-<colgroup>
-<col style="width: 27%">
-<col style="width: 6%">
-<col style="width: 9%">
-<col style="width: 9%">
-<col style="width: 9%">
-<col style="width: 6%">
-<col style="width: 6%">
-<col style="width: 6%">
-<col style="width: 6%">
-<col style="width: 8%">
-<col style="width: 4%">
-</colgroup>
-<thead>
-<tr class="header">
-<th style="text-align: left;">skim_variable</th>
-<th style="text-align: right;">n_missing</th>
-<th style="text-align: right;">complete_rate</th>
-<th style="text-align: right;">mean</th>
-<th style="text-align: right;">sd</th>
-<th style="text-align: right;">p0</th>
-<th style="text-align: right;">p25</th>
-<th style="text-align: right;">p50</th>
-<th style="text-align: right;">p75</th>
-<th style="text-align: right;">p100</th>
-<th style="text-align: left;">hist</th>
-</tr>
-</thead>
-<tbody>
-<tr class="odd">
-<td style="text-align: left;">Year</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">1.00</td>
-<td style="text-align: right;">2005.06</td>
-<td style="text-align: right;">8.930000e+00</td>
-<td style="text-align: right;">1990.0</td>
-<td style="text-align: right;">1997</td>
-<td style="text-align: right;">2005</td>
-<td style="text-align: right;">2013</td>
-<td style="text-align: right;">2020</td>
-<td style="text-align: left;">▇▇▇▇▇</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Annual consumption-based CO2 emissions</td>
-<td style="text-align: right;">3730</td>
-<td style="text-align: right;">0.52</td>
-<td style="text-align: right;">976326173.39</td>
-<td style="text-align: right;">3.366486e+09</td>
-<td style="text-align: right;">197201.7</td>
-<td style="text-align: right;">10759533</td>
-<td style="text-align: right;">59975059</td>
-<td style="text-align: right;">290854945</td>
-<td style="text-align: right;">36702502921</td>
-<td style="text-align: left;">â–‡â–â–â–â–</td>
-</tr>
-</tbody>
-</table>
-</div>
-</div>
-<p>Skim the per capita data</p>
-<div class="cell">
-<details>
-<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>skimr<span class="sc">::</span><span class="fu">skim</span>(dt_pc)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-</details>
-<div class="cell-output-display">
-<table class="table table-sm table-striped">
-<caption>Data summary</caption>
-<tbody>
-<tr class="odd">
-<td style="text-align: left;">Name</td>
-<td style="text-align: left;">dt_pc</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Number of rows</td>
-<td style="text-align: left;">7745</td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">Number of columns</td>
-<td style="text-align: left;">6</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Key</td>
-<td style="text-align: left;">NULL</td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">_______________________</td>
-<td style="text-align: left;"></td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Column type frequency:</td>
-<td style="text-align: left;"></td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">character</td>
-<td style="text-align: left;">2</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">numeric</td>
-<td style="text-align: left;">4</td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">________________________</td>
-<td style="text-align: left;"></td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Group variables</td>
-<td style="text-align: left;">None</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: character</strong></p>
-<table class="table table-sm table-striped">
-<colgroup>
-<col style="width: 19%">
-<col style="width: 13%">
-<col style="width: 19%">
-<col style="width: 5%">
-<col style="width: 5%">
-<col style="width: 8%">
-<col style="width: 12%">
-<col style="width: 15%">
-</colgroup>
-<thead>
-<tr class="header">
-<th style="text-align: left;">skim_variable</th>
-<th style="text-align: right;">n_missing</th>
-<th style="text-align: right;">complete_rate</th>
-<th style="text-align: right;">min</th>
-<th style="text-align: right;">max</th>
-<th style="text-align: right;">empty</th>
-<th style="text-align: right;">n_unique</th>
-<th style="text-align: right;">whitespace</th>
-</tr>
-</thead>
-<tbody>
-<tr class="odd">
-<td style="text-align: left;">Entity</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">1</td>
-<td style="text-align: right;">4</td>
-<td style="text-align: right;">32</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">252</td>
-<td style="text-align: right;">0</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Code</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">1</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">8</td>
-<td style="text-align: right;">899</td>
-<td style="text-align: right;">224</td>
-<td style="text-align: right;">0</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: numeric</strong></p>
-<table class="table table-sm table-striped">
-<colgroup>
-<col style="width: 36%">
-<col style="width: 6%">
-<col style="width: 9%">
-<col style="width: 6%">
-<col style="width: 6%">
-<col style="width: 5%">
-<col style="width: 5%">
-<col style="width: 6%">
-<col style="width: 6%">
-<col style="width: 6%">
-<col style="width: 4%">
-</colgroup>
-<thead>
-<tr class="header">
-<th style="text-align: left;">skim_variable</th>
-<th style="text-align: right;">n_missing</th>
-<th style="text-align: right;">complete_rate</th>
-<th style="text-align: right;">mean</th>
-<th style="text-align: right;">sd</th>
-<th style="text-align: right;">p0</th>
-<th style="text-align: right;">p25</th>
-<th style="text-align: right;">p50</th>
-<th style="text-align: right;">p75</th>
-<th style="text-align: right;">p100</th>
-<th style="text-align: left;">hist</th>
-</tr>
-</thead>
-<tbody>
-<tr class="odd">
-<td style="text-align: left;">Year</td>
-<td style="text-align: right;">0</td>
-<td style="text-align: right;">1.00</td>
-<td style="text-align: right;">2005.07</td>
-<td style="text-align: right;">8.93</td>
-<td style="text-align: right;">1990.00</td>
-<td style="text-align: right;">1997.00</td>
-<td style="text-align: right;">2005.00</td>
-<td style="text-align: right;">2013.00</td>
-<td style="text-align: right;">2020.00</td>
-<td style="text-align: left;">▇▇▇▇▇</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">GDP per capita, PPP (constant 2017 international $)</td>
-<td style="text-align: right;">1579</td>
-<td style="text-align: right;">0.80</td>
-<td style="text-align: right;">17879.29</td>
-<td style="text-align: right;">20132.68</td>
-<td style="text-align: right;">436.72</td>
-<td style="text-align: right;">3678.83</td>
-<td style="text-align: right;">10365.78</td>
-<td style="text-align: right;">25832.03</td>
-<td style="text-align: right;">161971.47</td>
-<td style="text-align: left;">▇▂â–â–â–</td>
-</tr>
-<tr class="odd">
-<td style="text-align: left;">Annual consumption-based CO2 emissions (per capita)</td>
-<td style="text-align: right;">3680</td>
-<td style="text-align: right;">0.52</td>
-<td style="text-align: right;">6.53</td>
-<td style="text-align: right;">6.92</td>
-<td style="text-align: right;">0.05</td>
-<td style="text-align: right;">1.19</td>
-<td style="text-align: right;">4.30</td>
-<td style="text-align: right;">9.89</td>
-<td style="text-align: right;">57.79</td>
-<td style="text-align: left;">▇▂â–â–â–</td>
-</tr>
-<tr class="even">
-<td style="text-align: left;">Annual CO2 emissions (per capita)</td>
-<td style="text-align: right;">492</td>
-<td style="text-align: right;">0.94</td>
-<td style="text-align: right;">5.11</td>
-<td style="text-align: right;">6.44</td>
-<td style="text-align: right;">0.02</td>
-<td style="text-align: right;">0.77</td>
-<td style="text-align: right;">2.97</td>
-<td style="text-align: right;">7.42</td>
-<td style="text-align: right;">68.72</td>
-<td style="text-align: left;">â–‡â–â–â–â–</td>
-</tr>
-</tbody>
-</table>
-</div>
-</div>
-<div class="cell">
-<details>
-<summary>Code</summary>
-<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="co"># hidden chunk</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-</details>
-</div>
-</section>
-
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diff --git a/gdpAndEmissions/UK_GDP_emissions.qmd b/gdpAndEmissions/UK_GDP_emissions.qmd
index ff48947..151021b 100644
--- a/gdpAndEmissions/UK_GDP_emissions.qmd
+++ b/gdpAndEmissions/UK_GDP_emissions.qmd
@@ -5,6 +5,7 @@ date: "2022-10-06"
date-modified: "`r Sys.time()`"
format:
html:
+ self-contained: true
toc: true
code-fold: true
editor: visual
diff --git a/gdpAndEmissions/UK_GDP_emissions_files/figure-html/fig-ukPlotCons-1.png b/gdpAndEmissions/UK_GDP_emissions_files/figure-html/fig-ukPlotCons-1.png
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diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap-icons.css b/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap-icons.css
deleted file mode 100644
index f51d04b..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap-icons.css
+++ /dev/null
@@ -1,1704 +0,0 @@
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- font-family: "bootstrap-icons";
- src:
-url("./bootstrap-icons.woff?524846017b983fc8ded9325d94ed40f3") format("woff");
-}
-
-.bi::before,
-[class^="bi-"]::before,
-[class*=" bi-"]::before {
- display: inline-block;
- font-family: bootstrap-icons !important;
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- font-weight: normal !important;
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- text-transform: none;
- line-height: 1;
- vertical-align: -.125em;
- -webkit-font-smoothing: antialiased;
- -moz-osx-font-smoothing: grayscale;
-}
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diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap-icons.woff b/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap-icons.woff
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diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.css b/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.css
deleted file mode 100644
index bc9935f..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.css
+++ /dev/null
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diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.js b/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.js
deleted file mode 100644
index cc0a255..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/bootstrap/bootstrap.min.js
+++ /dev/null
@@ -1,7 +0,0 @@
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s=`scroll${n[0].toUpperCase()+n.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(ht),this._element.classList.add(ct,lt),this._element.style[n]="",j.trigger(this._element,"shown.bs.collapse")}),this._element,!0),this._element.style[n]=`${this._element[s]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(j.trigger(this._element,"hide.bs.collapse").defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,u(this._element),this._element.classList.add(ht),this._element.classList.remove(ct,lt);const e=this._triggerArray.length;for(let t=0;t<e;t++){const 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t?(t.nodeName||"").toLowerCase():null}function Wt(t){if(null==t)return window;if("[object Window]"!==t.toString()){var e=t.ownerDocument;return e&&e.defaultView||window}return t}function $t(t){return t instanceof Wt(t).Element||t instanceof Element}function zt(t){return t instanceof Wt(t).HTMLElement||t instanceof HTMLElement}function qt(t){return"undefined"!=typeof ShadowRoot&&(t instanceof Wt(t).ShadowRoot||t instanceof ShadowRoot)}const Ft={name:"applyStyles",enabled:!0,phase:"write",fn:function(t){var e=t.state;Object.keys(e.elements).forEach((function(t){var i=e.styles[t]||{},n=e.attributes[t]||{},s=e.elements[t];zt(s)&&Rt(s)&&(Object.assign(s.style,i),Object.keys(n).forEach((function(t){var e=n[t];!1===e?s.removeAttribute(t):s.setAttribute(t,!0===e?"":e)})))}))},effect:function(t){var e=t.state,i={popper:{position:e.options.strategy,left:"0",top:"0",margin:"0"},arrow:{position:"absolute"},reference:{}};return 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e=t.state,i=t.options,n=t.name,s=i.offset,o=void 0===s?[0,0]:s,r=Lt.reduce((function(t,i){return t[i]=function(t,e,i){var n=Ut(t),s=[bt,mt].indexOf(n)>=0?-1:1,o="function"==typeof i?i(Object.assign({},e,{placement:t})):i,r=o[0],a=o[1];return r=r||0,a=(a||0)*s,[bt,_t].indexOf(n)>=0?{x:a,y:r}:{x:r,y:a}}(i,e.rects,o),t}),{}),a=r[e.placement],l=a.x,c=a.y;null!=e.modifiersData.popperOffsets&&(e.modifiersData.popperOffsets.x+=l,e.modifiersData.popperOffsets.y+=c),e.modifiersData[n]=r}},Pe={name:"popperOffsets",enabled:!0,phase:"read",fn:function(t){var e=t.state,i=t.name;e.modifiersData[i]=Ce({reference:e.rects.reference,element:e.rects.popper,strategy:"absolute",placement:e.placement})},data:{}},je={name:"preventOverflow",enabled:!0,phase:"main",fn:function(t){var e=t.state,i=t.options,n=t.name,s=i.mainAxis,o=void 0===s||s,r=i.altAxis,a=void 0!==r&&r,l=i.boundary,c=i.rootBoundary,h=i.altBoundary,d=i.padding,u=i.tether,f=void 0===u||u,p=i.tetherOffset,m=void 0===p?0:p,g=ke(e,{boundary:l,rootBoundary:c,padding:d,altBoundary:h}),_=Ut(e.placement),b=ce(e.placement),v=!b,y=ee(_),w="x"===y?"y":"x",E=e.modifiersData.popperOffsets,A=e.rects.reference,T=e.rects.popper,O="function"==typeof m?m(Object.assign({},e.rects,{placement:e.placement})):m,C={x:0,y:0};if(E){if(o||a){var k="y"===y?mt:bt,L="y"===y?gt:_t,x="y"===y?"height":"width",D=E[y],S=E[y]+g[k],N=E[y]-g[L],I=f?-T[x]/2:0,P=b===wt?A[x]:T[x],j=b===wt?-T[x]:-A[x],M=e.elements.arrow,H=f&&M?Kt(M):{width:0,height:0},B=e.modifiersData["arrow#persistent"]?e.modifiersData["arrow#persistent"].padding:{top:0,right:0,bottom:0,left:0},R=B[k],W=B[L],$=oe(0,A[x],H[x]),z=v?A[x]/2-I-$-R-O:P-$-R-O,q=v?-A[x]/2+I+$+W+O:j+$+W+O,F=e.elements.arrow&&te(e.elements.arrow),U=F?"y"===y?F.clientTop||0:F.clientLeft||0:0,V=e.modifiersData.offset?e.modifiersData.offset[e.placement][y]:0,K=E[y]+z-V-U,X=E[y]+q-V;if(o){var Y=oe(f?ne(S,K):S,D,f?ie(N,X):N);E[y]=Y,C[y]=Y-D}if(a){var Q="x"===y?mt:bt,G="x"===y?gt:_t,Z=E[w],J=Z+g[Q],tt=Z-g[G],et=oe(f?ne(J,K):J,Z,f?ie(tt,X):tt);E[w]=et,C[w]=et-Z}}e.modifiersData[n]=C}},requiresIfExists:["offset"]};function Me(t,e,i){void 0===i&&(i=!1);var n=zt(e);zt(e)&&function(t){var e=t.getBoundingClientRect();e.width,t.offsetWidth,e.height,t.offsetHeight}(e);var s,o,r=Gt(e),a=Vt(t),l={scrollLeft:0,scrollTop:0},c={x:0,y:0};return(n||!n&&!i)&&(("body"!==Rt(e)||we(r))&&(l=(s=e)!==Wt(s)&&zt(s)?{scrollLeft:(o=s).scrollLeft,scrollTop:o.scrollTop}:ve(s)),zt(e)?((c=Vt(e)).x+=e.clientLeft,c.y+=e.clientTop):r&&(c.x=ye(r))),{x:a.left+l.scrollLeft-c.x,y:a.top+l.scrollTop-c.y,width:a.width,height:a.height}}function He(t){var e=new Map,i=new Set,n=[];function s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Re(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function We(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?Be:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},Be,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof i?i(a.options):i;d(),a.options=Object.assign({},o,a.options,s),a.scrollParents={reference:$t(t)?Ae(t):t.contextElement?Ae(t.contextElement):[],popper:Ae(e)};var r,c,u=function(t){var e=He(t);return Bt.reduce((function(t,i){return t.concat(e.filter((function(t){return t.phase===i})))}),[])}((r=[].concat(n,a.options.modifiers),c=r.reduce((function(t,e){var i=t[e.name];return t[e.name]=i?Object.assign({},i,e,{options:Object.assign({},i.options,e.options),data:Object.assign({},i.data,e.data)}):e,t}),{}),Object.keys(c).map((function(t){return c[t]}))));return a.orderedModifiers=u.filter((function(t){return t.enabled})),a.orderedModifiers.forEach((function(t){var e=t.name,i=t.options,n=void 0===i?{}:i,s=t.effect;if("function"==typeof s){var o=s({state:a,name:e,instance:h,options:n});l.push(o||function(){})}})),h.update()},forceUpdate:function(){if(!c){var t=a.elements,e=t.reference,i=t.popper;if(Re(e,i)){a.rects={reference:Me(e,te(i),"fixed"===a.options.strategy),popper:Kt(i)},a.reset=!1,a.placement=a.options.placement,a.orderedModifiers.forEach((function(t){return a.modifiersData[t.name]=Object.assign({},t.data)}));for(var n=0;n<a.orderedModifiers.length;n++)if(!0!==a.reset){var s=a.orderedModifiers[n],o=s.fn,r=s.options,l=void 0===r?{}:r,d=s.name;"function"==typeof o&&(a=o({state:a,options:l,name:d,instance:h})||a)}else a.reset=!1,n=-1}}},update:(s=function(){return new Promise((function(t){h.forceUpdate(),t(a)}))},function(){return r||(r=new Promise((function(t){Promise.resolve().then((function(){r=void 0,t(s())}))}))),r}),destroy:function(){d(),c=!0}};if(!Re(t,e))return h;function d(){l.forEach((function(t){return t()})),l=[]}return h.setOptions(i).then((function(t){!c&&i.onFirstUpdate&&i.onFirstUpdate(t)})),h}}var $e=We(),ze=We({defaultModifiers:[pe,Pe,ue,Ft]}),qe=We({defaultModifiers:[pe,Pe,ue,Ft,Ie,xe,je,le,Ne]});const Fe=Object.freeze({__proto__:null,popperGenerator:We,detectOverflow:ke,createPopperBase:$e,createPopper:qe,createPopperLite:ze,top:mt,bottom:gt,right:_t,left:bt,auto:vt,basePlacements:yt,start:wt,end:Et,clippingParents:At,viewport:Tt,popper:Ot,reference:Ct,variationPlacements:kt,placements:Lt,beforeRead:xt,read:Dt,afterRead:St,beforeMain:Nt,main:It,afterMain:Pt,beforeWrite:jt,write:Mt,afterWrite:Ht,modifierPhases:Bt,applyStyles:Ft,arrow:le,computeStyles:ue,eventListeners:pe,flip:xe,hide:Ne,offset:Ie,popperOffsets:Pe,preventOverflow:je}),Ue="dropdown",Ve="Escape",Ke="Space",Xe="ArrowUp",Ye="ArrowDown",Qe=new RegExp("ArrowUp|ArrowDown|Escape"),Ge="click.bs.dropdown.data-api",Ze="keydown.bs.dropdown.data-api",Je="show",ti='[data-bs-toggle="dropdown"]',ei=".dropdown-menu",ii=m()?"top-end":"top-start",ni=m()?"top-start":"top-end",si=m()?"bottom-end":"bottom-start",oi=m()?"bottom-start":"bottom-end",ri=m()?"left-start":"right-start",ai=m()?"right-start":"left-start",li={offset:[0,2],boundary:"clippingParents",reference:"toggle",display:"dynamic",popperConfig:null,autoClose:!0},ci={offset:"(array|string|function)",boundary:"(string|element)",reference:"(string|element|object)",display:"string",popperConfig:"(null|object|function)",autoClose:"(boolean|string)"};class hi extends B{constructor(t,e){super(t),this._popper=null,this._config=this._getConfig(e),this._menu=this._getMenuElement(),this._inNavbar=this._detectNavbar()}static get Default(){return li}static get DefaultType(){return ci}static get NAME(){return Ue}toggle(){return this._isShown()?this.hide():this.show()}show(){if(c(this._element)||this._isShown(this._menu))return;const t={relatedTarget:this._element};if(j.trigger(this._element,"show.bs.dropdown",t).defaultPrevented)return;const e=hi.getParentFromElement(this._element);this._inNavbar?U.setDataAttribute(this._menu,"popper","none"):this._createPopper(e),"ontouchstart"in document.documentElement&&!e.closest(".navbar-nav")&&[].concat(...document.body.children).forEach((t=>j.on(t,"mouseover",d))),this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),j.trigger(this._element,"shown.bs.dropdown",t)}hide(){if(c(this._element)||!this._isShown(this._menu))return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){j.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented||("ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),U.removeDataAttribute(this._menu,"popper"),j.trigger(this._element,"hidden.bs.dropdown",t))}_getConfig(t){if(t={...this.constructor.Default,...U.getDataAttributes(this._element),...t},a(Ue,t,this.constructor.DefaultType),"object"==typeof t.reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ue.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(t){if(void 0===Fe)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let e=this._element;"parent"===this._config.reference?e=t:o(this._config.reference)?e=r(this._config.reference):"object"==typeof this._config.reference&&(e=this._config.reference);const i=this._getPopperConfig(),n=i.modifiers.find((t=>"applyStyles"===t.name&&!1===t.enabled));this._popper=qe(e,this._menu,i),n&&U.setDataAttribute(this._menu,"popper","static")}_isShown(t=this._element){return t.classList.contains(Je)}_getMenuElement(){return V.next(this._element,ei)[0]}_getPlacement(){const t=this._element.parentNode;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=V.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(l);i.length&&v(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(t&&(2===t.button||"keyup"===t.type&&"Tab"!==t.key))return;const e=V.find(ti);for(let i=0,n=e.length;i<n;i++){const n=hi.getInstance(e[i]);if(!n||!1===n._config.autoClose)continue;if(!n._isShown())continue;const s={relatedTarget:n._element};if(t){const e=t.composedPath(),i=e.includes(n._menu);if(e.includes(n._element)||"inside"===n._config.autoClose&&!i||"outside"===n._config.autoClose&&i)continue;if(n._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;"click"===t.type&&(s.clickEvent=t)}n._completeHide(s)}}static getParentFromElement(t){return n(t)||t.parentNode}static dataApiKeydownHandler(t){if(/input|textarea/i.test(t.target.tagName)?t.key===Ke||t.key!==Ve&&(t.key!==Ye&&t.key!==Xe||t.target.closest(ei)):!Qe.test(t.key))return;const e=this.classList.contains(Je);if(!e&&t.key===Ve)return;if(t.preventDefault(),t.stopPropagation(),c(this))return;const i=this.matches(ti)?this:V.prev(this,ti)[0],n=hi.getOrCreateInstance(i);if(t.key!==Ve)return t.key===Xe||t.key===Ye?(e||n.show(),void n._selectMenuItem(t)):void(e&&t.key!==Ke||hi.clearMenus());n.hide()}}j.on(document,Ze,ti,hi.dataApiKeydownHandler),j.on(document,Ze,ei,hi.dataApiKeydownHandler),j.on(document,Ge,hi.clearMenus),j.on(document,"keyup.bs.dropdown.data-api",hi.clearMenus),j.on(document,Ge,ti,(function(t){t.preventDefault(),hi.getOrCreateInstance(this).toggle()})),g(hi);const di=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",ui=".sticky-top";class fi{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,"paddingRight",(e=>e+t)),this._setElementAttributes(di,"paddingRight",(e=>e+t)),this._setElementAttributes(ui,"marginRight",(e=>e-t))}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=`${i(Number.parseFloat(s))}px`}))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(di,"paddingRight"),this._resetElementAttributes(ui,"marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)}))}_applyManipulationCallback(t,e){o(t)?e(t):V.find(t,this._element).forEach(e)}isOverflowing(){return this.getWidth()>0}}const pi={className:"modal-backdrop",isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},mi={className:"string",isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"},gi="show",_i="mousedown.bs.backdrop";class bi{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&u(this._getElement()),this._getElement().classList.add(gi),this._emulateAnimation((()=>{_(t)}))):_(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove(gi),this._emulateAnimation((()=>{this.dispose(),_(t)}))):_(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...pi,..."object"==typeof t?t:{}}).rootElement=r(t.rootElement),a("backdrop",t,mi),t}_append(){this._isAppended||(this._config.rootElement.append(this._getElement()),j.on(this._getElement(),_i,(()=>{_(this._config.clickCallback)})),this._isAppended=!0)}dispose(){this._isAppended&&(j.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){b(t,this._getElement(),this._config.isAnimated)}}const vi={trapElement:null,autofocus:!0},yi={trapElement:"element",autofocus:"boolean"},wi=".bs.focustrap",Ei="backward";class Ai{constructor(t){this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}activate(){const{trapElement:t,autofocus:e}=this._config;this._isActive||(e&&t.focus(),j.off(document,wi),j.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),j.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,j.off(document,wi))}_handleFocusin(t){const{target:e}=t,{trapElement:i}=this._config;if(e===document||e===i||i.contains(e))return;const n=V.focusableChildren(i);0===n.length?i.focus():this._lastTabNavDirection===Ei?n[n.length-1].focus():n[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ei:"forward")}_getConfig(t){return t={...vi,..."object"==typeof t?t:{}},a("focustrap",t,yi),t}}const Ti="modal",Oi="Escape",Ci={backdrop:!0,keyboard:!0,focus:!0},ki={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"},Li="hidden.bs.modal",xi="show.bs.modal",Di="resize.bs.modal",Si="click.dismiss.bs.modal",Ni="keydown.dismiss.bs.modal",Ii="mousedown.dismiss.bs.modal",Pi="modal-open",ji="show",Mi="modal-static";class Hi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._dialog=V.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new fi}static get Default(){return Ci}static get NAME(){return Ti}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||j.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add(Pi),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),j.on(this._dialog,Ii,(()=>{j.one(this._element,"mouseup.dismiss.bs.modal",(t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)}))})),this._showBackdrop((()=>this._showElement(t))))}hide(){if(!this._isShown||this._isTransitioning)return;if(j.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const t=this._isAnimated();t&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),this._focustrap.deactivate(),this._element.classList.remove(ji),j.off(this._element,Si),j.off(this._dialog,Ii),this._queueCallback((()=>this._hideModal()),this._element,t)}dispose(){[window,this._dialog].forEach((t=>j.off(t,".bs.modal"))),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new bi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_getConfig(t){return t={...Ci,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Ti,t,ki),t}_showElement(t){const e=this._isAnimated(),i=V.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,i&&(i.scrollTop=0),e&&u(this._element),this._element.classList.add(ji),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,j.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,e)}_setEscapeEvent(){this._isShown?j.on(this._element,Ni,(t=>{this._config.keyboard&&t.key===Oi?(t.preventDefault(),this.hide()):this._config.keyboard||t.key!==Oi||this._triggerBackdropTransition()})):j.off(this._element,Ni)}_setResizeEvent(){this._isShown?j.on(window,Di,(()=>this._adjustDialog())):j.off(window,Di)}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Pi),this._resetAdjustments(),this._scrollBar.reset(),j.trigger(this._element,Li)}))}_showBackdrop(t){j.on(this._element,Si,(t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())})),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(j.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains(Mi)||(n||(i.overflowY="hidden"),t.add(Mi),this._queueCallback((()=>{t.remove(Mi),n||this._queueCallback((()=>{i.overflowY=""}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!m()||i&&!t&&m())&&(this._element.style.paddingLeft=`${e}px`),(i&&!t&&!m()||!i&&t&&m())&&(this._element.style.paddingRight=`${e}px`)}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}j.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),j.one(e,xi,(t=>{t.defaultPrevented||j.one(e,Li,(()=>{l(this)&&this.focus()}))}));const i=V.findOne(".modal.show");i&&Hi.getInstance(i).hide(),Hi.getOrCreateInstance(e).toggle(this)})),R(Hi),g(Hi);const Bi="offcanvas",Ri={backdrop:!0,keyboard:!0,scroll:!1},Wi={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"},$i="show",zi=".offcanvas.show",qi="hidden.bs.offcanvas";class Fi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get NAME(){return Bi}static get Default(){return Ri}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||j.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||(new fi).hide(),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($i),this._queueCallback((()=>{this._config.scroll||this._focustrap.activate(),j.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(j.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.remove($i),this._backdrop.hide(),this._queueCallback((()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new fi).reset(),j.trigger(this._element,qi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_getConfig(t){return t={...Ri,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Bi,t,Wi),t}_initializeBackDrop(){return new bi({className:"offcanvas-backdrop",isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_addEventListeners(){j.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()}))}static jQueryInterface(t){return this.each((function(){const e=Fi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}j.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this))return;j.one(e,qi,(()=>{l(this)&&this.focus()}));const i=V.findOne(zi);i&&i!==e&&Fi.getInstance(i).hide(),Fi.getOrCreateInstance(e).toggle(this)})),j.on(window,"load.bs.offcanvas.data-api",(()=>V.find(zi).forEach((t=>Fi.getOrCreateInstance(t).show())))),R(Fi),g(Fi);const Ui=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Ki=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Xi=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!Ui.has(i)||Boolean(Vi.test(t.nodeValue)||Ki.test(t.nodeValue));const n=e.filter((t=>t instanceof RegExp));for(let t=0,e=n.length;t<e;t++)if(n[t].test(i))return!0;return!1};function Yi(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(let t=0,i=s.length;t<i;t++){const i=s[t],n=i.nodeName.toLowerCase();if(!Object.keys(e).includes(n)){i.remove();continue}const o=[].concat(...i.attributes),r=[].concat(e["*"]||[],e[n]||[]);o.forEach((t=>{Xi(t,r)||i.removeAttribute(t.nodeName)}))}return n.body.innerHTML}const Qi="tooltip",Gi=new Set(["sanitize","allowList","sanitizeFn"]),Zi={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},Ji={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},tn={animation:!0,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},en={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"},nn="fade",sn="show",on="show",rn="out",an=".tooltip-inner",ln=".modal",cn="hide.bs.modal",hn="hover",dn="focus";class un extends B{constructor(t,e){if(void 0===Fe)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._popper=null,this._config=this._getConfig(e),this.tip=null,this._setListeners()}static get Default(){return tn}static get NAME(){return Qi}static get Event(){return en}static get DefaultType(){return Zi}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(t){if(this._isEnabled)if(t){const e=this._initializeOnDelegatedTarget(t);e._activeTrigger.click=!e._activeTrigger.click,e._isWithActiveTrigger()?e._enter(null,e):e._leave(null,e)}else{if(this.getTipElement().classList.contains(sn))return void this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),j.off(this._element.closest(ln),cn,this._hideModalHandler),this.tip&&this.tip.remove(),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=j.trigger(this._element,this.constructor.Event.SHOW),e=h(this._element),i=null===e?this._element.ownerDocument.documentElement.contains(this._element):e.contains(this._element);if(t.defaultPrevented||!i)return;"tooltip"===this.constructor.NAME&&this.tip&&this.getTitle()!==this.tip.querySelector(an).innerHTML&&(this._disposePopper(),this.tip.remove(),this.tip=null);const n=this.getTipElement(),s=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME);n.setAttribute("id",s),this._element.setAttribute("aria-describedby",s),this._config.animation&&n.classList.add(nn);const o="function"==typeof this._config.placement?this._config.placement.call(this,n,this._element):this._config.placement,r=this._getAttachment(o);this._addAttachmentClass(r);const{container:a}=this._config;H.set(n,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(a.append(n),j.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=qe(this._element,n,this._getPopperConfig(r)),n.classList.add(sn);const l=this._resolvePossibleFunction(this._config.customClass);l&&n.classList.add(...l.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>{j.on(t,"mouseover",d)}));const c=this.tip.classList.contains(nn);this._queueCallback((()=>{const t=this._hoverState;this._hoverState=null,j.trigger(this._element,this.constructor.Event.SHOWN),t===rn&&this._leave(null,this)}),this.tip,c)}hide(){if(!this._popper)return;const t=this.getTipElement();if(j.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove(sn),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains(nn);this._queueCallback((()=>{this._isWithActiveTrigger()||(this._hoverState!==on&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),j.trigger(this._element,this.constructor.Event.HIDDEN),this._disposePopper())}),this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");t.innerHTML=this._config.template;const e=t.children[0];return this.setContent(e),e.classList.remove(nn,sn),this.tip=e,this.tip}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),an)}_sanitizeAndSetContent(t,e,i){const n=V.findOne(i,t);e||!n?this.setElementContent(n,e):n.remove()}setElementContent(t,e){if(null!==t)return o(e)?(e=r(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.append(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Yi(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){const t=this._element.getAttribute("data-bs-original-title")||this._config.title;return this._resolvePossibleFunction(t)}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){return e||this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"onChange",enabled:!0,phase:"afterWrite",fn:t=>this._handlePopperPlacementChange(t)}],onFirstUpdate:t=>{t.options.placement!==t.placement&&this._handlePopperPlacementChange(t)}};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_addAttachmentClass(t){this.getTipElement().classList.add(`${this._getBasicClassPrefix()}-${this.updateAttachment(t)}`)}_getAttachment(t){return Ji[t.toUpperCase()]}_setListeners(){this._config.trigger.split(" ").forEach((t=>{if("click"===t)j.on(this._element,this.constructor.Event.CLICK,this._config.selector,(t=>this.toggle(t)));else if("manual"!==t){const e=t===hn?this.constructor.Event.MOUSEENTER:this.constructor.Event.FOCUSIN,i=t===hn?this.constructor.Event.MOUSELEAVE:this.constructor.Event.FOCUSOUT;j.on(this._element,e,this._config.selector,(t=>this._enter(t))),j.on(this._element,i,this._config.selector,(t=>this._leave(t)))}})),this._hideModalHandler=()=>{this._element&&this.hide()},j.on(this._element.closest(ln),cn,this._hideModalHandler),this._config.selector?this._config={...this._config,trigger:"manual",selector:""}:this._fixTitle()}_fixTitle(){const t=this._element.getAttribute("title"),e=typeof this._element.getAttribute("data-bs-original-title");(t||"string"!==e)&&(this._element.setAttribute("data-bs-original-title",t||""),!t||this._element.getAttribute("aria-label")||this._element.textContent||this._element.setAttribute("aria-label",t),this._element.setAttribute("title",""))}_enter(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusin"===t.type?dn:hn]=!0),e.getTipElement().classList.contains(sn)||e._hoverState===on?e._hoverState=on:(clearTimeout(e._timeout),e._hoverState=on,e._config.delay&&e._config.delay.show?e._timeout=setTimeout((()=>{e._hoverState===on&&e.show()}),e._config.delay.show):e.show())}_leave(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusout"===t.type?dn:hn]=e._element.contains(t.relatedTarget)),e._isWithActiveTrigger()||(clearTimeout(e._timeout),e._hoverState=rn,e._config.delay&&e._config.delay.hide?e._timeout=setTimeout((()=>{e._hoverState===rn&&e.hide()}),e._config.delay.hide):e.hide())}_isWithActiveTrigger(){for(const t in this._activeTrigger)if(this._activeTrigger[t])return!0;return!1}_getConfig(t){const e=U.getDataAttributes(this._element);return Object.keys(e).forEach((t=>{Gi.has(t)&&delete e[t]})),(t={...this.constructor.Default,...e,..."object"==typeof t&&t?t:{}}).container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),a(Qi,t,this.constructor.DefaultType),t.sanitize&&(t.template=Yi(t.template,t.allowList,t.sanitizeFn)),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t}_cleanTipClass(){const t=this.getTipElement(),e=new RegExp(`(^|\\s)${this._getBasicClassPrefix()}\\S+`,"g"),i=t.getAttribute("class").match(e);null!==i&&i.length>0&&i.map((t=>t.trim())).forEach((e=>t.classList.remove(e)))}_getBasicClassPrefix(){return"bs-tooltip"}_handlePopperPlacementChange(t){const{state:e}=t;e&&(this.tip=e.elements.popper,this._cleanTipClass(),this._addAttachmentClass(this._getAttachment(e.placement)))}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null)}static jQueryInterface(t){return this.each((function(){const e=un.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(un);const fn={...un.Default,placement:"right",offset:[0,8],trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>'},pn={...un.DefaultType,content:"(string|element|function)"},mn={HIDE:"hide.bs.popover",HIDDEN:"hidden.bs.popover",SHOW:"show.bs.popover",SHOWN:"shown.bs.popover",INSERTED:"inserted.bs.popover",CLICK:"click.bs.popover",FOCUSIN:"focusin.bs.popover",FOCUSOUT:"focusout.bs.popover",MOUSEENTER:"mouseenter.bs.popover",MOUSELEAVE:"mouseleave.bs.popover"};class gn extends un{static get Default(){return fn}static get NAME(){return"popover"}static get Event(){return mn}static get DefaultType(){return pn}isWithContent(){return this.getTitle()||this._getContent()}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),".popover-header"),this._sanitizeAndSetContent(t,this._getContent(),".popover-body")}_getContent(){return this._resolvePossibleFunction(this._config.content)}_getBasicClassPrefix(){return"bs-popover"}static jQueryInterface(t){return this.each((function(){const e=gn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(gn);const _n="scrollspy",bn={offset:10,method:"auto",target:""},vn={offset:"number",method:"string",target:"(string|element)"},yn="active",wn=".nav-link, .list-group-item, .dropdown-item",En="position";class An extends B{constructor(t,e){super(t),this._scrollElement="BODY"===this._element.tagName?window:this._element,this._config=this._getConfig(e),this._offsets=[],this._targets=[],this._activeTarget=null,this._scrollHeight=0,j.on(this._scrollElement,"scroll.bs.scrollspy",(()=>this._process())),this.refresh(),this._process()}static get Default(){return bn}static get NAME(){return _n}refresh(){const t=this._scrollElement===this._scrollElement.window?"offset":En,e="auto"===this._config.method?t:this._config.method,n=e===En?this._getScrollTop():0;this._offsets=[],this._targets=[],this._scrollHeight=this._getScrollHeight(),V.find(wn,this._config.target).map((t=>{const s=i(t),o=s?V.findOne(s):null;if(o){const t=o.getBoundingClientRect();if(t.width||t.height)return[U[e](o).top+n,s]}return null})).filter((t=>t)).sort(((t,e)=>t[0]-e[0])).forEach((t=>{this._offsets.push(t[0]),this._targets.push(t[1])}))}dispose(){j.off(this._scrollElement,".bs.scrollspy"),super.dispose()}_getConfig(t){return(t={...bn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}}).target=r(t.target)||document.documentElement,a(_n,t,vn),t}_getScrollTop(){return this._scrollElement===window?this._scrollElement.pageYOffset:this._scrollElement.scrollTop}_getScrollHeight(){return this._scrollElement.scrollHeight||Math.max(document.body.scrollHeight,document.documentElement.scrollHeight)}_getOffsetHeight(){return this._scrollElement===window?window.innerHeight:this._scrollElement.getBoundingClientRect().height}_process(){const t=this._getScrollTop()+this._config.offset,e=this._getScrollHeight(),i=this._config.offset+e-this._getOffsetHeight();if(this._scrollHeight!==e&&this.refresh(),t>=i){const t=this._targets[this._targets.length-1];this._activeTarget!==t&&this._activate(t)}else{if(this._activeTarget&&t<this._offsets[0]&&this._offsets[0]>0)return this._activeTarget=null,void this._clear();for(let e=this._offsets.length;e--;)this._activeTarget!==this._targets[e]&&t>=this._offsets[e]&&(void 0===this._offsets[e+1]||t<this._offsets[e+1])&&this._activate(this._targets[e])}}_activate(t){this._activeTarget=t,this._clear();const e=wn.split(",").map((e=>`${e}[data-bs-target="${t}"],${e}[href="${t}"]`)),i=V.findOne(e.join(","),this._config.target);i.classList.add(yn),i.classList.contains("dropdown-item")?V.findOne(".dropdown-toggle",i.closest(".dropdown")).classList.add(yn):V.parents(i,".nav, .list-group").forEach((t=>{V.prev(t,".nav-link, .list-group-item").forEach((t=>t.classList.add(yn))),V.prev(t,".nav-item").forEach((t=>{V.children(t,".nav-link").forEach((t=>t.classList.add(yn)))}))})),j.trigger(this._scrollElement,"activate.bs.scrollspy",{relatedTarget:t})}_clear(){V.find(wn,this._config.target).filter((t=>t.classList.contains(yn))).forEach((t=>t.classList.remove(yn)))}static jQueryInterface(t){return this.each((function(){const e=An.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}j.on(window,"load.bs.scrollspy.data-api",(()=>{V.find('[data-bs-spy="scroll"]').forEach((t=>new An(t)))})),g(An);const Tn="active",On="fade",Cn="show",kn=".active",Ln=":scope > li > .active";class xn extends B{static get NAME(){return"tab"}show(){if(this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE&&this._element.classList.contains(Tn))return;let t;const e=n(this._element),i=this._element.closest(".nav, .list-group");if(i){const e="UL"===i.nodeName||"OL"===i.nodeName?Ln:kn;t=V.find(e,i),t=t[t.length-1]}const s=t?j.trigger(t,"hide.bs.tab",{relatedTarget:this._element}):null;if(j.trigger(this._element,"show.bs.tab",{relatedTarget:t}).defaultPrevented||null!==s&&s.defaultPrevented)return;this._activate(this._element,i);const o=()=>{j.trigger(t,"hidden.bs.tab",{relatedTarget:this._element}),j.trigger(this._element,"shown.bs.tab",{relatedTarget:t})};e?this._activate(e,e.parentNode,o):o()}_activate(t,e,i){const n=(!e||"UL"!==e.nodeName&&"OL"!==e.nodeName?V.children(e,kn):V.find(Ln,e))[0],s=i&&n&&n.classList.contains(On),o=()=>this._transitionComplete(t,n,i);n&&s?(n.classList.remove(Cn),this._queueCallback(o,t,!0)):o()}_transitionComplete(t,e,i){if(e){e.classList.remove(Tn);const t=V.findOne(":scope > .dropdown-menu 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diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/clipboard/clipboard.min.js b/gdpAndEmissions/UK_GDP_emissions_files/libs/clipboard/clipboard.min.js
deleted file mode 100644
index 41c6a0f..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/clipboard/clipboard.min.js
+++ /dev/null
@@ -1,7 +0,0 @@
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diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/anchor.min.js b/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/anchor.min.js
deleted file mode 100644
index 1c2b86f..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/anchor.min.js
+++ /dev/null
@@ -1,9 +0,0 @@
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diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/popper.min.js b/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/popper.min.js
deleted file mode 100644
index 2269d66..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/popper.min.js
+++ /dev/null
@@ -1,6 +0,0 @@
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diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/quarto-syntax-highlighting.css b/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/quarto-syntax-highlighting.css
deleted file mode 100644
index 0bba767..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/quarto-syntax-highlighting.css
+++ /dev/null
@@ -1,167 +0,0 @@
-/* quarto syntax highlight colors */
-:root {
- --quarto-hl-ot-color: #003B4F;
- --quarto-hl-at-color: #657422;
- --quarto-hl-ss-color: #20794D;
- --quarto-hl-an-color: #5E5E5E;
- --quarto-hl-fu-color: #4758AB;
- --quarto-hl-st-color: #20794D;
- --quarto-hl-cf-color: #003B4F;
- --quarto-hl-op-color: #5E5E5E;
- --quarto-hl-er-color: #AD0000;
- --quarto-hl-bn-color: #AD0000;
- --quarto-hl-al-color: #AD0000;
- --quarto-hl-va-color: #111111;
- --quarto-hl-bu-color: inherit;
- --quarto-hl-ex-color: inherit;
- --quarto-hl-pp-color: #AD0000;
- --quarto-hl-in-color: #5E5E5E;
- --quarto-hl-vs-color: #20794D;
- --quarto-hl-wa-color: #5E5E5E;
- --quarto-hl-do-color: #5E5E5E;
- --quarto-hl-im-color: #00769E;
- --quarto-hl-ch-color: #20794D;
- --quarto-hl-dt-color: #AD0000;
- --quarto-hl-fl-color: #AD0000;
- --quarto-hl-co-color: #5E5E5E;
- --quarto-hl-cv-color: #5E5E5E;
- --quarto-hl-cn-color: #8f5902;
- --quarto-hl-sc-color: #5E5E5E;
- --quarto-hl-dv-color: #AD0000;
- --quarto-hl-kw-color: #003B4F;
-}
-
-/* other quarto variables */
-:root {
- --quarto-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
-}
-
-code span {
- color: #003B4F;
-}
-
-code.sourceCode > span {
- color: #003B4F;
-}
-
-div.sourceCode,
-div.sourceCode pre.sourceCode {
- color: #003B4F;
-}
-
-code span.ot {
- color: #003B4F;
-}
-
-code span.at {
- color: #657422;
-}
-
-code span.ss {
- color: #20794D;
-}
-
-code span.an {
- color: #5E5E5E;
-}
-
-code span.fu {
- color: #4758AB;
-}
-
-code span.st {
- color: #20794D;
-}
-
-code span.cf {
- color: #003B4F;
-}
-
-code span.op {
- color: #5E5E5E;
-}
-
-code span.er {
- color: #AD0000;
-}
-
-code span.bn {
- color: #AD0000;
-}
-
-code span.al {
- color: #AD0000;
-}
-
-code span.va {
- color: #111111;
-}
-
-code span.pp {
- color: #AD0000;
-}
-
-code span.in {
- color: #5E5E5E;
-}
-
-code span.vs {
- color: #20794D;
-}
-
-code span.wa {
- color: #5E5E5E;
- font-style: italic;
-}
-
-code span.do {
- color: #5E5E5E;
- font-style: italic;
-}
-
-code span.im {
- color: #00769E;
-}
-
-code span.ch {
- color: #20794D;
-}
-
-code span.dt {
- color: #AD0000;
-}
-
-code span.fl {
- color: #AD0000;
-}
-
-code span.co {
- color: #5E5E5E;
-}
-
-code span.cv {
- color: #5E5E5E;
- font-style: italic;
-}
-
-code span.cn {
- color: #8f5902;
-}
-
-code span.sc {
- color: #5E5E5E;
-}
-
-code span.dv {
- color: #AD0000;
-}
-
-code span.kw {
- color: #003B4F;
-}
-
-.prevent-inlining {
- content: "</";
-}
-
-/*# sourceMappingURL=debc5d5d77c3f9108843748ff7464032.css.map */
diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/quarto.js b/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/quarto.js
deleted file mode 100644
index f0b151b..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/quarto.js
+++ /dev/null
@@ -1,664 +0,0 @@
-const sectionChanged = new CustomEvent("quarto-sectionChanged", {
- detail: {},
- bubbles: true,
- cancelable: false,
- composed: false,
-});
-
-window.document.addEventListener("DOMContentLoaded", function (_event) {
- const tocEl = window.document.querySelector('nav[role="doc-toc"]');
- const sidebarEl = window.document.getElementById("quarto-sidebar");
- const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left");
- const marginSidebarEl = window.document.getElementById(
- "quarto-margin-sidebar"
- );
- // function to determine whether the element has a previous sibling that is active
- const prevSiblingIsActiveLink = (el) => {
- const sibling = el.previousElementSibling;
- if (sibling && sibling.tagName === "A") {
- return sibling.classList.contains("active");
- } else {
- return false;
- }
- };
-
- // fire slideEnter for bootstrap tab activations (for htmlwidget resize behavior)
- function fireSlideEnter(e) {
- const event = window.document.createEvent("Event");
- event.initEvent("slideenter", true, true);
- window.document.dispatchEvent(event);
- }
- const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]');
- tabs.forEach((tab) => {
- tab.addEventListener("shown.bs.tab", fireSlideEnter);
- });
-
- // Track scrolling and mark TOC links as active
- // get table of contents and sidebar (bail if we don't have at least one)
- const tocLinks = tocEl
- ? [...tocEl.querySelectorAll("a[data-scroll-target]")]
- : [];
- const makeActive = (link) => tocLinks[link].classList.add("active");
- const removeActive = (link) => tocLinks[link].classList.remove("active");
- const removeAllActive = () =>
- [...Array(tocLinks.length).keys()].forEach((link) => removeActive(link));
-
- // activate the anchor for a section associated with this TOC entry
- tocLinks.forEach((link) => {
- link.addEventListener("click", () => {
- if (link.href.indexOf("#") !== -1) {
- const anchor = link.href.split("#")[1];
- const heading = window.document.querySelector(
- `[data-anchor-id=${anchor}]`
- );
- if (heading) {
- // Add the class
- heading.classList.add("reveal-anchorjs-link");
-
- // function to show the anchor
- const handleMouseout = () => {
- heading.classList.remove("reveal-anchorjs-link");
- heading.removeEventListener("mouseout", handleMouseout);
- };
-
- // add a function to clear the anchor when the user mouses out of it
- heading.addEventListener("mouseout", handleMouseout);
- }
- }
- });
- });
-
- const sections = tocLinks.map((link) => {
- const target = link.getAttribute("data-scroll-target");
- if (target.startsWith("#")) {
- return window.document.getElementById(decodeURI(`${target.slice(1)}`));
- } else {
- return window.document.querySelector(decodeURI(`${target}`));
- }
- });
-
- const sectionMargin = 200;
- let currentActive = 0;
- // track whether we've initialized state the first time
- let init = false;
-
- const updateActiveLink = () => {
- // The index from bottom to top (e.g. reversed list)
- let sectionIndex = -1;
- if (
- window.innerHeight + window.pageYOffset >=
- window.document.body.offsetHeight
- ) {
- sectionIndex = 0;
- } else {
- sectionIndex = [...sections].reverse().findIndex((section) => {
- if (section) {
- return window.pageYOffset >= section.offsetTop - sectionMargin;
- } else {
- return false;
- }
- });
- }
- if (sectionIndex > -1) {
- const current = sections.length - sectionIndex - 1;
- if (current !== currentActive) {
- removeAllActive();
- currentActive = current;
- makeActive(current);
- if (init) {
- window.dispatchEvent(sectionChanged);
- }
- init = true;
- }
- }
- };
-
- const inHiddenRegion = (top, bottom, hiddenRegions) => {
- for (const region of hiddenRegions) {
- if (top <= region.bottom && bottom >= region.top) {
- return true;
- }
- }
- return false;
- };
-
- const categorySelector = "header.quarto-title-block .quarto-category";
- const activateCategories = (href) => {
- // Find any categories
- // Surround them with a link pointing back to:
- // #category=Authoring
- try {
- const categoryEls = window.document.querySelectorAll(categorySelector);
- for (const categoryEl of categoryEls) {
- const categoryText = categoryEl.textContent;
- if (categoryText) {
- const link = `${href}#category=${encodeURIComponent(categoryText)}`;
- const linkEl = window.document.createElement("a");
- linkEl.setAttribute("href", link);
- for (const child of categoryEl.childNodes) {
- linkEl.append(child);
- }
- categoryEl.appendChild(linkEl);
- }
- }
- } catch {
- // Ignore errors
- }
- };
- function hasTitleCategories() {
- return window.document.querySelector(categorySelector) !== null;
- }
-
- function offsetRelativeUrl(url) {
- const offset = getMeta("quarto:offset");
- return offset ? offset + url : url;
- }
-
- function offsetAbsoluteUrl(url) {
- const offset = getMeta("quarto:offset");
- const baseUrl = new URL(offset, window.location);
-
- const projRelativeUrl = url.replace(baseUrl, "");
- if (projRelativeUrl.startsWith("/")) {
- return projRelativeUrl;
- } else {
- return "/" + projRelativeUrl;
- }
- }
-
- // read a meta tag value
- function getMeta(metaName) {
- const metas = window.document.getElementsByTagName("meta");
- for (let i = 0; i < metas.length; i++) {
- if (metas[i].getAttribute("name") === metaName) {
- return metas[i].getAttribute("content");
- }
- }
- return "";
- }
-
- async function findAndActivateCategories() {
- const currentPagePath = offsetAbsoluteUrl(window.location.href);
- const response = await fetch(offsetRelativeUrl("listings.json"));
- if (response.status == 200) {
- return response.json().then(function (listingPaths) {
- const listingHrefs = [];
- for (const listingPath of listingPaths) {
- const pathWithoutLeadingSlash = listingPath.listing.substring(1);
- for (const item of listingPath.items) {
- if (
- item === currentPagePath ||
- item === currentPagePath + "index.html"
- ) {
- // Resolve this path against the offset to be sure
- // we already are using the correct path to the listing
- // (this adjusts the listing urls to be rooted against
- // whatever root the page is actually running against)
- const relative = offsetRelativeUrl(pathWithoutLeadingSlash);
- const baseUrl = window.location;
- const resolvedPath = new URL(relative, baseUrl);
- listingHrefs.push(resolvedPath.pathname);
- break;
- }
- }
- }
-
- // Look up the tree for a nearby linting and use that if we find one
- const nearestListing = findNearestParentListing(
- offsetAbsoluteUrl(window.location.pathname),
- listingHrefs
- );
- if (nearestListing) {
- activateCategories(nearestListing);
- } else {
- // See if the referrer is a listing page for this item
- const referredRelativePath = offsetAbsoluteUrl(document.referrer);
- const referrerListing = listingHrefs.find((listingHref) => {
- const isListingReferrer =
- listingHref === referredRelativePath ||
- listingHref === referredRelativePath + "index.html";
- return isListingReferrer;
- });
-
- if (referrerListing) {
- // Try to use the referrer if possible
- activateCategories(referrerListing);
- } else if (listingHrefs.length > 0) {
- // Otherwise, just fall back to the first listing
- activateCategories(listingHrefs[0]);
- }
- }
- });
- }
- }
- if (hasTitleCategories()) {
- findAndActivateCategories();
- }
-
- const findNearestParentListing = (href, listingHrefs) => {
- if (!href || !listingHrefs) {
- return undefined;
- }
- // Look up the tree for a nearby linting and use that if we find one
- const relativeParts = href.substring(1).split("/");
- while (relativeParts.length > 0) {
- const path = relativeParts.join("/");
- for (const listingHref of listingHrefs) {
- if (listingHref.startsWith(path)) {
- return listingHref;
- }
- }
- relativeParts.pop();
- }
-
- return undefined;
- };
-
- const manageSidebarVisiblity = (el, placeholderDescriptor) => {
- let isVisible = true;
-
- return (hiddenRegions) => {
- if (el === null) {
- return;
- }
-
- // Find the last element of the TOC
- const lastChildEl = el.lastElementChild;
-
- if (lastChildEl) {
- // Find the top and bottom o the element that is being managed
- const elTop = el.offsetTop;
- const elBottom =
- elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight;
-
- // Converts the sidebar to a menu
- const convertToMenu = () => {
- for (const child of el.children) {
- child.style.opacity = 0;
- child.style.display = "none";
- }
-
- const toggleContainer = window.document.createElement("div");
- toggleContainer.style.width = "100%";
- toggleContainer.classList.add("zindex-over-content");
- toggleContainer.classList.add("quarto-sidebar-toggle");
- toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom
- toggleContainer.id = placeholderDescriptor.id;
- toggleContainer.style.position = "fixed";
-
- const toggleIcon = window.document.createElement("i");
- toggleIcon.classList.add("quarto-sidebar-toggle-icon");
- toggleIcon.classList.add("bi");
- toggleIcon.classList.add("bi-caret-down-fill");
-
- const toggleTitle = window.document.createElement("div");
- const titleEl = window.document.body.querySelector(
- placeholderDescriptor.titleSelector
- );
- if (titleEl) {
- toggleTitle.append(titleEl.innerText, toggleIcon);
- }
- toggleTitle.classList.add("zindex-over-content");
- toggleTitle.classList.add("quarto-sidebar-toggle-title");
- toggleContainer.append(toggleTitle);
-
- const toggleContents = window.document.createElement("div");
- toggleContents.classList = el.classList;
- toggleContents.classList.add("zindex-over-content");
- toggleContents.classList.add("quarto-sidebar-toggle-contents");
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-
- // Get rid of any expanded toggle if the user scrolls
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-
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-
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- // Manage the visibility of the toc and the sidebar
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- dismissOnClick: true,
- });
- const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, {
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- let tocLeftScrollVisibility;
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-
- const kOverlapPaddingSize = 10;
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- el.getBoundingClientRect().top +
- document.documentElement.scrollTop -
- kOverlapPaddingSize;
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- });
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-
- const hideOverlappedSidebars = () => {
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- sidebarScrollVisiblity(toRegions(leftSideConflictEls));
- if (tocLeftScrollVisibility) {
- tocLeftScrollVisibility(toRegions(leftSideConflictEls));
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- };
-
- window.quartoToggleReader = () => {
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-
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-
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- el.classList.add("reader");
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-
- const setReaderModeValue = (val) => {
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- localReaderMode = val;
- }
- };
-
- const isReaderMode = () => {
- if (window.location.protocol !== "file:") {
- return window.localStorage.getItem("quarto-reader-mode") === "true";
- } else {
- return localReaderMode;
- }
- };
- let localReaderMode = null;
-
- // Walk the TOC and collapse/expand nodes
- // Nodes are expanded if:
- // - they are top level
- // - they have children that are 'active' links
- // - they are directly below an link that is 'active'
- const walk = (el, depth) => {
- // Tick depth when we enter a UL
- if (el.tagName === "UL") {
- depth = depth + 1;
- }
-
- // It this is active link
- let isActiveNode = false;
- if (el.tagName === "A" && el.classList.contains("active")) {
- isActiveNode = true;
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-
- // See if there is an active child to this element
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-
- // Process the collapse state if this is an UL
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- el.classList.add("collapse");
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-
- // untick depth when we leave a UL
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-
- // walk the TOC and expand / collapse any items that should be shown
-
- if (tocEl) {
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- updateActiveLink();
- }
-
- // Throttle the scroll event and walk peridiocally
- window.document.addEventListener(
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- if (!isReaderMode()) {
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- );
- window.addEventListener(
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- );
- hideOverlappedSidebars();
- highlightReaderToggle(isReaderMode());
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-
-function throttle(func, wait) {
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- if (!waiting) {
- func.apply(this, arguments);
- waiting = true;
- setTimeout(function () {
- waiting = false;
- }, wait);
- }
- };
-}
diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/tippy.css b/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/tippy.css
deleted file mode 100644
index e6ae635..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/tippy.css
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/tippy.umd.min.js b/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/tippy.umd.min.js
deleted file mode 100644
index ca292be..0000000
--- a/gdpAndEmissions/UK_GDP_emissions_files/libs/quarto-html/tippy.umd.min.js
+++ /dev/null
@@ -1,2 +0,0 @@
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