From 23952576ffc4c9a41292bdf882eef133917b460b Mon Sep 17 00:00:00 2001 From: Monika Furdyna Date: Wed, 27 Nov 2024 13:42:50 +0100 Subject: [PATCH] Remove map and unused techexposure (#73) * Remove map * Remove unusused techexposure plot --- src/js/map.js | 293 - src/js/techexposure_future.js | 671 - src/json/countries-110m.json | 10684 ------ src/json/data_map.json | 7694 ---- src/json/data_techexposure_future.json | 45800 ----------------------- src/routes/portfolio_view.svelte | 46 - src/routes/sector_view.svelte | 1 - 7 files changed, 65189 deletions(-) delete mode 100644 src/js/map.js delete mode 100644 src/js/techexposure_future.js delete mode 100644 src/json/countries-110m.json delete mode 100644 src/json/data_map.json delete mode 100644 src/json/data_techexposure_future.json diff --git a/src/js/map.js b/src/js/map.js deleted file mode 100644 index ec794f9..0000000 --- a/src/js/map.js +++ /dev/null @@ -1,293 +0,0 @@ -import * as d3 from 'd3'; -import { rollups } from 'd3-array'; -import { geoEckert3 } from 'd3-geo-projection'; -import { feature } from 'topojson-client'; -import world from '../json/countries-110m.json'; - -export class choropleth { - constructor(container, data, labels, opts) { - if (typeof container === 'string') { - this.container_div = document.querySelector(container); - } else { - this.container_div = container; - } - - d3.select(this.container_div).attr('chart_type', 'choropleth'); - d3.select(this.container_div).attr('chart_type_data_download', 'map'); //matching the names in the export/ folder - - this.data = data; - - this.container_div.classList.add('choropleth'); - this.container_div.classList.add('d3chart'); - this.container_div.classList.add('regionalexposure_chart'); - this.container_div.classList.add('chart_container'); - - let container_div_width = parseInt(window.getComputedStyle(this.container_div, null).width); - - let chart_div = document.createElement('div'); - chart_div.classList.add('chart_div'); - this.container_div.insertBefore(chart_div, this.container_div.firstChild); - - opts = typeof opts === 'undefined' ? {} : opts; - - this.width = typeof opts.width === 'undefined' ? 700 : opts.width; - this.height = typeof opts.height === 'undefined' ? 300 : opts.height; - this.asset_class = typeof opts.asset_class === 'undefined' ? '' : opts.asset_class; - this.color_range = - typeof opts.color_range === 'undefined' ? ['#e8ebf1', '#1b324f'] : opts.color_range; - let default_class = typeof opts.default_class === 'undefined' ? '' : opts.default_class; - let default_tech = typeof opts.default_tech === 'undefined' ? '' : opts.default_tech; - - labels = typeof labels === 'undefined' ? {} : labels; - - const title_what = - typeof labels.title_what === 'undefined' ? 'Regional exposure of ' : labels.title_what, - title_how = typeof labels.title_how === 'undefined' ? ' towards ' : labels.title_how; - - this.container = d3.select(chart_div); - - this.trgt_tick_count = 8; - - // asset class selector - let class_names = d3 - .map(data, (d) => d.asset_class_translation) - .keys() - .sort(); - let class_selector = document.createElement('select'); - class_selector.classList = 'regionalexposure_class_selector inline_text_dropdown'; - class_selector.addEventListener('change', change_class); - class_names.forEach((class_name) => class_selector.add(new Option(class_name, class_name))); - class_selector.options[Math.max(class_names.indexOf(default_class), 0)].selected = 'selected'; - - // tech selector - let tech_selector = document.createElement('select'); - tech_selector.classList = 'regionalexposure_tech_selector inline_text_dropdown'; - tech_selector.addEventListener('change', map_update_option); - - function appendOptionsToTechSelector(tech_selector, data, selected_option) { - let grouped_opts = rollups( - data, - (v) => v.map((w) => w.option_translation).filter((v, i, a) => a.indexOf(v) === i), - (d) => d.group_translation - ).sort(); - let groups = grouped_opts.map((d) => d[0]).sort(); - - let i, j, grp, optgrp, opt; - for (i = 0; i < grouped_opts.length; ++i) { - grp = grouped_opts[i]; - optgrp = document.createElement('optgroup'); - optgrp.label = grp[0]; - for (j = 0; j < grp[1].length; ++j) { - let option = grp[1][j]; - opt = document.createElement('option'); - opt.textContent = option; - opt.value = data.filter((d) => d.option_translation == option)[0]['option']; - optgrp.appendChild(opt); - } - tech_selector.appendChild(optgrp); - } - tech_selector.options[ - Math.max([...tech_selector.options].map((d) => d.text).indexOf(selected_option), 0) - ].selected = 'selected'; - - return tech_selector; - } - - tech_selector = appendOptionsToTechSelector(tech_selector, data, default_tech); - - // create title with selectors - let titlediv = document.createElement('div'); - titlediv.style.width = container_div_width + 'px'; - titlediv.classList = 'chart_title'; - titlediv.appendChild(document.createTextNode(title_what)); - titlediv.appendChild(class_selector); - titlediv.appendChild(document.createTextNode(title_how)); - titlediv.appendChild(tech_selector); - chart_div.appendChild(titlediv); - - this.svg = this.container.append('svg').attr('width', this.width).attr('height', this.height); - - this.svg.append('rect').attr('width', '100%').attr('height', '100%').attr('fill', 'white'); - - var path = d3.geoPath(); - var projection = d3 - .geoMercator() - .scale(90) - .center([0, 20]) - .translate([this.width / 2, this.height / 2 + 15]); - //.clipExtent([[0,20], [this.width, this.height]]) - var eckert3 = geoEckert3() - .scale(130) - .translate([this.width / 2, this.height / 2 + 25]) - .precision(0.1) - .clipExtent([ - [0, 0], - [this.width, this.height] - ]); - this.colorScale = d3.scaleThreshold(); - this.data_map = d3.map(); - this.units = d3.map(); - - this.tooltip = this.container.append('div').attr('class', 'd3tooltip').style('display', 'none'); - - this.topo = feature(world, world.objects.countries); - - this.svg - .append('g') - .selectAll('path') - .data(this.topo.features) - .enter() - .append('path') - .attr('stroke', 'white') - .attr('stroke-width', '0.5') - .attr('stroke-linejoin', 'round') - .attr('d', d3.geoPath().projection(eckert3)) - .on('mouseover', mouseover) - .on('mousemove', mousemove) - .on('mouseout', mouseout); - - let chart = this; - class_selector.dispatchEvent(new Event('change')); - - function tip_format(d) { - let group = tech_selector.options[tech_selector.selectedIndex].parentNode.label; - if (group == 'Automotive') { - if (d < 1) { - return '< 1'; - } - } - if (d < 1) { - return '< 1'; - } - return d3.format(',.0f')(d); - } - - function mouseover(d) { - let value = chart.data_map.get(d.id); - let unit = chart.units.get(d.id); - chart.tooltip - .html(d.properties['name'] + '
' + tip_format(value) + ' ' + unit) - .style('display', value == undefined ? 'none' : 'inline-block') - .style('left', d3.event.pageX + 10 + 'px') - .style('top', d3.event.pageY - 20 + 'px'); - } - - function mousemove() { - chart.tooltip - .style('left', d3.event.pageX + 10 + 'px') - .style('top', d3.event.pageY - 20 + 'px'); - } - - function mouseout() { - chart.tooltip.style('display', 'none'); - } - - function legend(g) { - const width = 300; - const length = chart.colorScale.range().length; - const slctd_option = chart.data - .filter((d) => d.option == tech_selector.value) - .map((d) => d.option_translation)[0]; - - const unit_text = chart.data - .filter((d) => d.option == tech_selector.value) - .map((d) => d.unit_translation)[0]; - - const x = d3 - .scaleLinear() - .domain([1, length]) - .rangeRound([width / length, (width * length) / length]); - g.selectAll('rect') - .data(chart.colorScale.range()) - .enter() - .append('rect') - .attr('height', 8) - .attr('x', (d, i) => x(i)) - .attr('width', (d, i) => x(i + 1) - x(i)) - .attr('fill', (d) => d); - - g.append('text') - .attr('y', -6) - .attr('fill', 'currentColor') - .attr('text-anchor', 'start') - .attr('font-weight', 'bold') - .text(slctd_option + ' (' + unit_text + ')'); - - function formatTicks(i) { - if (chart.colorScale.domain()[i - 1] < 0.1) { - return d3.format(',.2f')(chart.colorScale.domain()[i - 1]); - } else if (chart.colorScale.domain()[i - 1] < 1) { - return d3.format(',.1f')(chart.colorScale.domain()[i - 1]); - } else if (chart.colorScale.domain()[i - 1] >= 10 ** 6) { - return d3.format(',.0f')(chart.colorScale.domain()[i - 1] / 10 ** 6) + 'M'; - } else { - return d3.format(',.0f')(chart.colorScale.domain()[i - 1]); - } - } - - g.call( - d3 - .axisBottom(x) - .tickSize(13) - .tickFormat((i) => formatTicks(i)) - .tickValues(d3.range(1, length)) - ) - .select('.domain') - .remove(); - } - - function change_class() { - let subdata = chart.data.filter((d) => d.asset_class_translation == class_selector.value); - - // reset tech selector based on current asset class selection - let selected_tech = tech_selector.value; - tech_selector.querySelectorAll('optgroup').forEach((d) => tech_selector.removeChild(d)); - - tech_selector = appendOptionsToTechSelector(tech_selector, subdata, selected_tech); - - tech_selector.dispatchEvent(new Event('change')); - } - - function map_update_option() { - let subset = chart.data.filter( - (d) => - (d.option == tech_selector.value) & (d.asset_class_translation == class_selector.value) - ); - - chart.data_map.clear(); - chart.units.clear(); - - subset.map((d) => chart.data_map.set(d.code, +d.value)); - subset.map((d) => chart.units.set(d.code, d.unit_translation)); - - let values = subset.map((d) => d.value); - let extent = d3.extent(values); - - let computed_tick_count = d3.min([subset.length, chart.trgt_tick_count]); - let ticks = d3.scaleLinear().domain(extent).ticks(computed_tick_count); - - while (ticks.length > 8) { - computed_tick_count = computed_tick_count - 1; - ticks = d3.scaleLinear().domain(extent).ticks(computed_tick_count); - } - - var color_range_scale = d3.scaleLinear().range(chart.color_range); - let tickColors = ticks.map((d) => color_range_scale.domain(d3.extent(ticks))(d)); - chart.colorScale.domain(ticks).range(tickColors); - - chart.svg - .selectAll('path') - .transition() - .attr('value', (d) => (d.value = chart.data_map.get(d.id))) - .attr('unit', (d) => chart.units.get(d.id)) - .attr('fill', (d) => chart.colorScale(d.value) || 'ghostwhite'); - - chart.svg.selectAll('.legend').remove(); - chart.svg - .append('g') - .attr('class', 'legend') - .attr('transform', 'translate(280,275)') - .call(legend); - } - } -} diff --git a/src/js/techexposure_future.js b/src/js/techexposure_future.js deleted file mode 100644 index 60b0fc5..0000000 --- a/src/js/techexposure_future.js +++ /dev/null @@ -1,671 +0,0 @@ -import * as d3 from 'd3'; -import '../css/plot_styles.css'; - -export class techexposure_future { - constructor(container, data, labels, opts) { - let container_div; - - if (typeof container === 'string') { - container_div = document.querySelector(container); - } else { - container_div = container; - } - - d3.select(container_div).attr('chart_type', 'techexposure_future'); - d3.select(container_div).attr('chart_type_data_download', 'techexposure_future'); //matching the names in the export/ folder - - container_div.classList.add('stacked_bars'); - container_div.classList.add('d3chart'); - container_div.classList.add('chart_container'); - - let container_div_width = parseInt(window.getComputedStyle(container_div, null).width); - - let chart_div = document.createElement('div'); - chart_div.classList.add('chart_div'); - container_div.insertBefore(chart_div, container_div.firstChild); - - this.container = d3.select(chart_div); - - // set options - opts = typeof opts === 'undefined' ? {} : opts; - const default_class = typeof opts.default_class === 'undefined' ? '' : opts.default_class; - const default_market = - typeof opts.default_market === 'undefined' ? 'Global Market' : opts.default_market; - const default_scenario = - typeof opts.default_scenario === 'undefined' ? 'ETP2017_B2DS' : opts.default_scenario; - var legend_order = opts.legend_order; - - // set labels - labels = typeof labels === 'undefined' ? {} : labels; - const title_up = - typeof labels.title_up === 'undefined' - ? ': Future technology mix as % of sector based on ' - : labels.title_up, - title_scenario = - typeof labels.title_scenario === 'undefined' ? ' scenario' : labels.title_scenario, - title_down = typeof labels.title_down === 'undefined' ? 'compared to ' : labels.title_down, - title_market = - typeof labels.title_market === 'undefined' ? ' as a subset of ' : labels.title_market, - hover_over_sec = - typeof labels.hover_over_sec === 'undefined' - ? { before_sec: ' of ', after_sec: ' sector' } - : labels.hover_over_sec; - - /* - //////////////////////////////////////// - //INITIAL SET UP OF ALL GRAPH ELEMENTS// - //////////////////////////////////////// - */ - - // size settings - const total_width = 700; - const sect_gap = 17; //15; - const scen_gap = 10; - const bar_gap = 5; - const nr_bars_sec = 4; - const portfolio_label_offset = 20; - - let margin = { top: 40, right: 120, bottom: 40, left: 140 }; - let height = 500 - margin.top - margin.bottom; - - // determine right margin based on label - function findLongestName(data, label) { - let longest_name_length = d3.max(data, (d) => d[label].length); - let long_test_label = new Array(longest_name_length).join('a'); - return long_test_label; - } - - function findMarginWidth(data, chart_div, label) { - let label_width = 0; - let long_label = findLongestName(data, label); - - let test_svg = d3.select(chart_div).append('svg'); - test_svg - .append('text') - .attr('font-size', '10') - .text(long_label) - .each(function () { - label_width = this.getBBox().width; - }); - test_svg.remove(); - return label_width; - } - - function orderLegendDataIfPossible(legend_data_unordered, legend_order) { - if (typeof legend_order === 'undefined') { - return legend_data_unordered; - } else { - let chart_sectors = d3.map(legend_data_unordered, (d) => d.sector).keys(); - let chart_technologies = d3.map(legend_data_unordered, (d) => d.technology).keys(); - - let legend_data = []; - - legend_order.forEach(function (item) { - if ( - chart_sectors.includes(item.ald_sector) && - chart_technologies.includes(item.technology) - ) { - let idx = legend_data_unordered.findIndex( - (d) => d.sector == item.ald_sector && d.technology == item.technology - ); - legend_data.push(legend_data_unordered[idx]); - } - }); - - if (legend_data_unordered.length > legend_data.length) { - console.warn( - 'Not all sector/technology pairs from the data were found in sector_order variable. The legend shown is incomplete. Please, amend the sector_order.csv file. ' - ); - } - - return legend_data; - } - } - - function replaceNaNWithNotNaNValueIfExists(pair) { - if (isNaN(pair[0])) { - pair[0] = pair[1]; // if both are NaN this will result in preserving this property (desirable feature) - } else if (isNaN(pair[1])) { - pair[1] = pair[0]; - } - - return pair; - } - - function replaceNaNInData(stackedData) { - for (var i = 0; i < stackedData.length; i++) { - for (var j = 0; j < stackedData[i].length; j++) { - stackedData[i][j] = replaceNaNWithNotNaNValueIfExists(stackedData[i][j]); - } - } - - return stackedData; - } - - //increase margins if labels too long - - let label_width_right = findMarginWidth(data, chart_div, 'technology_translation'); - let label_width_left = findMarginWidth(data, chart_div, 'val_type_translation'); - - if (margin.right < label_width_right + 60) { - margin.right_new = label_width_right + 60; - margin.right = margin.right_new; - } - - if (margin.left < label_width_left + portfolio_label_offset) { - margin.left_new = label_width_left + portfolio_label_offset; - margin.left = margin.left_new; - } - - let width = total_width - margin.right - margin.left; - - // asset class selector - let class_names = d3 - .map(data, (d) => d.asset_class_translation) - .keys() - .sort(); - let class_selector = document.createElement('select'); - class_selector.classList = 'techexposure_class_selector inline_text_dropdown'; - class_selector.addEventListener('change', change_class); - class_names.forEach((class_name) => class_selector.add(new Option(class_name, class_name))); - class_selector.options[Math.max(class_names.indexOf(default_class), 0)].selected = 'selected'; - - let data_filtered = data.filter((d) => d.asset_class_translation == class_selector.value); - - // scenario selector - let scenario_names = d3 - .map(data_filtered, (d) => d.scenario) - .keys() - .sort(); - let scenario_selector = document.createElement('select'); - scenario_selector.classList = 'techexposure_scenario_selector inline_text_dropdown'; - scenario_selector.addEventListener('change', change_class); - scenario_names.forEach((scenario_name) => - scenario_selector.add(new Option(scenario_name, scenario_name)) - ); - scenario_selector.options[Math.max(scenario_names.indexOf(default_scenario), 0)].selected = - 'selected'; - - // benchmark selector - let benchmark_selector = document.createElement('select'); - benchmark_selector.classList = 'techexposure_benchmark_selector inline_text_dropdown'; - benchmark_selector.addEventListener('change', change_class); - - // market selector - let market_names = d3 - .map(data_filtered, (d) => d.equity_market_translation) - .keys() - .sort(); - let market_selector = document.createElement('select'); - market_selector.classList = 'techexposure_group_selector inline_text_dropdown'; - market_selector.addEventListener('change', update); - market_names.forEach((market_name) => - market_selector.add(new Option(market_name, market_name)) - ); - market_selector.options[Math.max(market_names.indexOf(default_market), 0)].selected = - 'selected'; - - // chart title - let titlediv = document.createElement('div'); - titlediv.style.width = total_width + 'px'; - titlediv.classList = 'chart_title'; - titlediv.appendChild(class_selector); - titlediv.appendChild(document.createTextNode(title_up)); - titlediv.appendChild(scenario_selector); - titlediv.appendChild(document.createTextNode(title_scenario)); - titlediv.appendChild(document.createElement('br')); - titlediv.appendChild(document.createTextNode(title_down)); - titlediv.appendChild(benchmark_selector); - titlediv.appendChild(document.createTextNode(title_market)); - titlediv.appendChild(market_selector); - chart_div.appendChild(titlediv); - - const tooltip = d3 - .select(chart_div) - .append('div') - .attr('class', 'd3tooltip') - .style('display', 'none'); - let svg = this.container - .append('svg') - .attr('width', width + margin.left + margin.right) - .attr('height', height + margin.top + margin.bottom) - .append('g') - .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - let x = d3.scaleLinear().domain([0, 1]).range([0, width]); - let y = d3.scaleBand(); - - let sect_labels_group = svg.append('g').attr('class', 'sect_labels'); - let y_labels_group = svg.append('g').attr('class', 'y_labels'); - let xaxis_group = svg.append('g').attr('class', 'xaxis_group'); - let bars_group = svg.append('g').attr('class', 'bars_group'); - let legend = svg.append('g').attr('class', 'legend'); - - class_selector.dispatchEvent(new Event('change')); - - /* - ///////////////////////////////// - // DATA MANIPULATION FUNCTIONS// - //////////////////////////////// - */ - - function getSectorSubsetData(data, sector) { - let subdata = data.filter((d) => d.ald_sector == sector); - - return subdata; - } - - function getTechnologyDataForStacking(data, un_value_types) { - var subdata_tech = []; - - un_value_types.forEach((item, index) => { - subdata_tech[index] = {}; - subdata_tech[index]['val_type'] = item; - data - .filter((d) => d.val_type == item) - .forEach((x) => { - subdata_tech[index]['val_type_translation'] = x.val_type_translation; - subdata_tech[index][x.technology] = x.value; - }); - }); - - return subdata_tech; - } - - function getSubsetData(data, asset_class, scenario, benchmark, market) { - let subdata = data.filter((d) => d.asset_class_translation == asset_class); - subdata = subdata.filter((d) => d.scenario == scenario); - subdata = subdata.filter( - (d) => (d.this_portfolio == true) | (d.portfolio_name_translation == benchmark) - ); - subdata = subdata.filter((d) => d.equity_market_translation == market); - - return subdata; - } - - function getTechnologyTranslation(technology) { - let idx = data.findIndex((d) => d.technology === technology); - return data[idx].technology_translation; - } - - function getSectorTranslation(sector) { - let idx = data.findIndex((d) => d.ald_sector === sector); - return data[idx].ald_sector_translation; - } - - /* - ///////////////////////////// - // GRAPH DRAWING FUNCTIONS // - ///////////////////////////// - */ - - function drawStackedBarGroupOnEmptyChart( - bars_group, - x, - y, - y_labels_group, - data, - subgroups, - groups, - graph_start_height, - graph_width, - bar_height, - bar_gap, - sector - ) { - y.range([0, groups.length * bar_height]).domain(groups); - - y_labels_group - .append('g') - .attr('transform', 'translate( ' + -20 + ', ' + graph_start_height + ' )') - - .call(d3.axisLeft(y).tickSize(0)) - .call((g) => g.select('.domain').remove()); - - var color = d3.scaleOrdinal(d3.schemeCategory10); - - var stackedData = d3.stack().keys(subgroups)(data); - - if (stackedData.length != 0) { - stackedData = replaceNaNInData(stackedData); - } else { - throw new Error('Error during stacking the data: empty array was returned.'); - } - - // Show the bars - bars_group - .append('g') - .selectAll('g') - // Enter in the stack data = loop key per key = group per group - .data(stackedData) - .enter() - .append('g') - .attr('class', (d) => sector + ' ' + d.key) - .attr('fill', function (d) { - return color(d.key); - }) - .attr('technology', function (d) { - return getTechnologyTranslation(d.key); - }) - .attr('sector', function (d) { - return getSectorTranslation(sector); - }) - .selectAll('rect') - // enter a second time = loop subgroup per subgroup to add all rectangles - .data(function (d) { - return d; - }) - .enter() - .append('rect') - .attr('x', function (d) { - return x(d[0]); - }) - .attr('y', function (d) { - return graph_start_height + y(d.data.val_type_translation); - }) - .attr('width', function (d) { - return x(d[1]) - x(d[0]); - }) - .attr('height', bar_height - bar_gap) - .on('mouseover', mouseover) - .on('mouseout', mouseout) - .on('mousemove', mousemove); - } - - function drawBarGroupPerSector( - bars_group, - x, - y, - y_labels_group, - data, - sector, - graph_start_height, - graph_width, - bar_height, - bar_gap, - scen_gap, - legend_data - ) { - let subdata = getSectorSubsetData(data, sector); - let sector_translation = subdata[0].ald_sector_translation; - let un_value_types = d3.map(subdata, (d) => d.val_type).keys(); - let subdata_tech = getTechnologyDataForStacking(subdata, un_value_types); - - var subgroups = d3.keys(subdata_tech[0]).slice(2); - - let subdata_plan = subdata_tech.filter((d) => !d.val_type.includes('Aligned')); - let subdata_scen = subdata_tech.filter((d) => d.val_type.includes('Aligned')); - - let groups_plan = d3 - .map(subdata_plan, function (d) { - return d.val_type_translation; - }) - .keys(); - let groups_scen = d3 - .map(subdata_scen, function (d) { - return d.val_type_translation; - }) - .keys(); - - drawStackedBarGroupOnEmptyChart( - bars_group, - x, - y, - y_labels_group, - subdata_plan, - subgroups, - groups_plan, - graph_start_height, - graph_width, - bar_height, - bar_gap, - sector - ); - drawStackedBarGroupOnEmptyChart( - bars_group, - x, - y, - y_labels_group, - subdata_scen, - subgroups, - groups_scen, - graph_start_height + groups_plan.length * bar_height + scen_gap, - graph_width, - bar_height, - bar_gap, - sector - ); - - subgroups.forEach(function (index, item) { - var technology_translation = subdata.filter((d) => d.technology == item)[0][ - 'technology_translation' - ]; - let data_to_append = { - sector: sector, - technology: item, - class: sector + ' ' + item, - sector_translation: sector_translation, - technology_translation: technology_translation - }; - legend_data.push(data_to_append); - }); - - return legend_data; - } - - function change_class() { - let selected_class = class_selector.value; - let selected_benchmark = benchmark_selector.value; - let selected_scenario = scenario_selector.value; - - let data_filtered = data.filter((d) => d.asset_class_translation == selected_class); - - let scenario_names = d3 - .map(data_filtered, (d) => d.scenario) - .keys() - .sort(); - scenario_selector.length = 0; - scenario_names.forEach((scenario_name) => - scenario_selector.add(new Option(scenario_name, scenario_name)) - ); - scenario_selector.options[Math.max(scenario_names.indexOf(selected_scenario), 0)].selected = - 'selected'; - - let benchmark_names = d3 - .map( - data_filtered.filter((d) => !d.this_portfolio), - (d) => d.portfolio_name_translation - ) - .keys() - .sort(); - benchmark_selector.length = 0; - benchmark_names.forEach((benchmark_name) => - benchmark_selector.add(new Option(benchmark_name, benchmark_name)) - ); - benchmark_selector.options[ - Math.max(benchmark_names.indexOf(selected_benchmark), 0) - ].selected = 'selected'; - - // reset selectors based on current asset class selection - let market_names = d3 - .map(data_filtered, (d) => d.equity_market_translation) - .keys() - .sort(); - market_selector.length = 0; - market_names.forEach((market_name) => - market_selector.add(new Option(market_name, market_name)) - ); - market_selector.options[Math.max(market_names.indexOf(default_market), 0)].selected = - 'selected'; - - market_selector.dispatchEvent(new Event('change')); - } - - function update() { - let selected_class = class_selector.value; - let selected_scenario = scenario_selector.value; - let selected_benchmark = benchmark_selector.value; - let selected_market = market_selector.value; - - let subdata = getSubsetData( - data, - selected_class, - selected_scenario, - selected_benchmark, - selected_market - ); - let unique_sectors = d3.map(subdata, (d) => d.ald_sector).keys(); - let unique_sectors_translation = d3.map(subdata, (d) => d.ald_sector_translation).keys(); - - var bar_height_space = - (height - (unique_sectors.length - 1) * sect_gap - (unique_sectors.length - 1) * scen_gap) / - (nr_bars_sec * unique_sectors.length); - - let t = d3.transition().duration(500); - // Show the bars - let bars_rect = bars_group.selectAll('rect').data([]); - // Enter in the stack data = loop key per key = group per group - bars_rect.exit().transition(t).attr('width', 0).remove(); - - let bars_tech_groups = bars_group.selectAll('g').data([]); - bars_tech_groups.exit().remove(); - - sect_labels_group.selectAll('text').remove(); - y_labels_group.selectAll('g').remove(); - - var legend_data_unordered = []; - - for (var i = 0; i < unique_sectors.length; i++) { - legend_data_unordered = drawBarGroupPerSector( - bars_group, - x, - y, - y_labels_group, - subdata, - unique_sectors[i], - i * (bar_height_space * nr_bars_sec + scen_gap + sect_gap), - width, - bar_height_space, - bar_gap, - scen_gap, - legend_data_unordered - ); - - sect_labels_group - .append('text') - .attr('transform', 'rotate(-90)') - .attr('y', -20) - .attr('x', 0 - (i + 0.5) * (bar_height_space * nr_bars_sec + scen_gap + sect_gap)) - .attr('dy', '1em') - .attr('font-size', '10') - .style('text-anchor', 'middle') - .text(unique_sectors_translation[i]); - } - - let legend_data = orderLegendDataIfPossible(legend_data_unordered, legend_order); - - var formatter = d3.format('.0%'); - - xaxis_group - .attr('transform', 'translate(0,' + (height + 10) + ')') - .call(d3.axisBottom(x).tickFormat(formatter).ticks(5)) - .selectAll('text') - .style('text-anchor', 'end'); - - let legend_rects = legend.selectAll('rect').data([]); - legend_rects.exit().remove(); - - let legend_text = legend.selectAll('text').data([]); - legend_text.exit().remove(); - - let legend_sector_labels = legend.selectAll('.sector_labels_legend').data([]); - legend_sector_labels.exit().remove(); - - legend.attr('transform', 'translate(' + (width + 20) + ',-10)'); - - let sector_gap_legend = 25; - - legend_data.forEach(function (index, item) { - legend_data[index]['sector_shift'] = unique_sectors.indexOf(item.sector); - }); - - let tech_in_prev_sectors = []; - tech_in_prev_sectors[0] = 0; - for (var i = 1; i < unique_sectors.length; i++) { - tech_in_prev_sectors[i] = - tech_in_prev_sectors[i - 1] + - legend_data.filter((obj) => obj.sector === unique_sectors[i - 1]).length; - } - - legend - .selectAll('rect') - .data(legend_data) - .enter() - .append('rect') - .attr('class', (d) => d.class) - .attr('width', 15) - .attr('height', 15) - .attr('x', 0) - .attr('y', (d, i) => i * 25 + d.sector_shift * sector_gap_legend + 20); - - legend - .selectAll('text') - .data(legend_data) - .enter() - .append('text') - .text((d) => d.technology_translation) - .style('alignment-baseline', 'central') - .style('text-anchor', 'start') - .attr('font-size', '0.7em') - .attr('x', 25) - .attr('y', (d, i) => i * 25 + 8 + d.sector_shift * sector_gap_legend + 20); - - legend - .append('g') - .attr('class', 'sector_labels_legend') - .selectAll('text') - .data(unique_sectors_translation) - .enter() - .append('text') - .text((d) => d) - .style('alignment-baseline', 'central') - .style('text-anchor', 'start') - .attr('font-size', '0.7em') - .attr('x', 0) - .attr('y', (d, i) => tech_in_prev_sectors[i] * 25 + 8 + i * sector_gap_legend); - } - - function num_format(num) { - num = Math.round((num + Number.EPSILON) * 1000) / 10; - if (num < 0.1) { - return '< 0.1%'; - } - return num + '%'; - } - - function mouseover(d) { - var selfParent = d3.select(this.parentElement), - tech = selfParent.attr('technology'), - sector = selfParent.attr('sector'); - - tooltip - .html( - tech + - '
' + - num_format(d[1] - d[0]) + - hover_over_sec.before_sec + - sector + - hover_over_sec.after_sec - ) - .style('display', 'inline-block'); - } - - function mousemove(d) { - tooltip.style('left', d3.event.pageX + 10 + 'px').style('top', d3.event.pageY - 20 + 'px'); - } - - function mouseout(d) { - tooltip.style('display', 'none'); - } - } -} diff --git a/src/json/countries-110m.json b/src/json/countries-110m.json deleted file mode 100644 index 8d42818..0000000 --- a/src/json/countries-110m.json +++ /dev/null @@ -1,10684 +0,0 @@ -{ - "type": "Topology", - "objects": { - "countries": { - "type": "GeometryCollection", - "geometries": [ - { - "type": "MultiPolygon", - "arcs": [[[0]], [[1]]], - "id": "242", - "properties": { "name": "Fiji" } - }, - { - "type": "Polygon", - "arcs": [[2, 3, 4, 5, 6, 7, 8, 9, 10]], - "id": "834", - "properties": { "name": "Tanzania" } - }, - { - "type": "Polygon", - "arcs": [[11, 12, 13, 14]], - "id": "732", - "properties": { "name": "W. Sahara" } - }, - { - "type": "MultiPolygon", - "arcs": [ - [[15, 16, 17, 18]], - [[19]], - [[20]], - [[21]], - [[22]], - [[23]], - [[24]], - [[25]], - [[26]], - [[27]], - [[28]], - [[29]], - [[30]], - [[31]], - [[32]], - [[33]], - [[34]], - [[35]], - [[36]], - [[37]], - [[38]], - [[39]], - [[40]], - [[41]], - [[42]], - [[43]], - [[44]], - [[45]], - [[46]], - [[47]] - ], - "id": "124", - "properties": { "name": "Canada" } - }, - { - "type": "MultiPolygon", - "arcs": [ - [[-19, 48, 49, 50]], - [[51]], - [[52]], - [[53]], - [[54]], - [[55]], - [[56]], - [[57]], - [[-17, 58]], - [[59]] - ], - "id": "840", - "properties": { "name": "United States of America" } - }, - { - "type": "Polygon", - "arcs": [[60, 61, 62, 63, 64, 65]], - "id": "398", - "properties": { "name": "Kazakhstan" } - }, - { - "type": "Polygon", - "arcs": [[-63, 66, 67, 68, 69]], - "id": "860", - "properties": { "name": "Uzbekistan" } - }, - { - "type": "MultiPolygon", - "arcs": [[[70, 71]], [[72]], [[73]], [[74]]], - "id": "598", - "properties": { "name": "Papua New Guinea" } - }, - { - "type": "MultiPolygon", - "arcs": [ - [[-72, 75]], - [[76, 77]], - [[78]], - [[79, 80]], - [[81]], - [[82]], - [[83]], - [[84]], - [[85]], - [[86]], - [[87]], - [[88]], - [[89]] - ], - "id": "360", - "properties": { "name": "Indonesia" } - }, - { - "type": "MultiPolygon", - "arcs": [[[90, 91]], [[92, 93, 94, 95, 96, 97]]], - "id": "032", - "properties": { "name": "Argentina" } - }, - { - "type": "MultiPolygon", - "arcs": [[[-92, 98]], [[99, -95, 100, 101]]], - "id": "152", - "properties": { "name": "Chile" } - }, - { - "type": "Polygon", - "arcs": [[-8, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111]], - "id": "180", - "properties": { "name": "Dem. Rep. Congo" } - }, - { - "type": "Polygon", - "arcs": [[112, 113, 114, 115]], - "id": "706", - "properties": { "name": "Somalia" } - }, - { - "type": "Polygon", - "arcs": [[-3, 116, 117, 118, -113, 119]], - "id": "404", - "properties": { "name": "Kenya" } - }, - { - "type": "Polygon", - "arcs": [[120, 121, 122, 123, 124, 125, 126, 127]], - "id": "729", - "properties": { "name": "Sudan" } - }, - { - "type": "Polygon", - "arcs": [[-122, 128, 129, 130, 131]], - "id": "148", - "properties": { "name": "Chad" } - }, - { "type": "Polygon", "arcs": [[132, 133]], "id": "332", "properties": { "name": "Haiti" } }, - { - "type": "Polygon", - "arcs": [[-133, 134]], - "id": "214", - "properties": { "name": "Dominican Rep." } - }, - { - "type": "MultiPolygon", - "arcs": [ - [[135]], - [[136]], - [[137]], - [[138]], - [[139]], - [[140]], - [[141, 142, 143]], - [[144]], - [[145]], - [[146, 147, 148, 149, -66, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161]], - [[162]], - [[163, 164]] - ], - "id": "643", - "properties": { "name": "Russia" } - }, - { - "type": "MultiPolygon", - "arcs": [[[165]], [[166]], [[167]]], - "id": "044", - "properties": { "name": "Bahamas" } - }, - { - "type": "Polygon", - "arcs": [[168]], - "id": "238", - "properties": { "name": "Falkland Is." } - }, - { - "type": "MultiPolygon", - "arcs": [[[169]], [[-161, 170, 171, 172]], [[173]], [[174]]], - "id": "578", - "properties": { "name": "Norway" } - }, - { "type": "Polygon", "arcs": [[175]], "id": "304", "properties": { "name": "Greenland" } }, - { - "type": "Polygon", - "arcs": [[176]], - "id": "260", - "properties": { "name": "Fr. 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}, - { - "type": "Polygon", - "arcs": [[-180, 253, 254, -251]], - "id": "072", - "properties": { "name": "Botswana" } - }, - { - "type": "Polygon", - "arcs": [[-179, 255, 256, 257, -254]], - "id": "516", - "properties": { "name": "Namibia" } - }, - { - "type": "Polygon", - "arcs": [[258, 259, 260, 261, 262, 263, 264]], - "id": "686", - "properties": { "name": "Senegal" } - }, - { - "type": "Polygon", - "arcs": [[-261, 265, 266, 267, 268, 269, 270]], - "id": "466", - "properties": { "name": "Mali" } - }, - { - "type": "Polygon", - "arcs": [[-13, 271, -266, -260, 272]], - "id": "478", - "properties": { "name": "Mauritania" } - }, - { - "type": "Polygon", - "arcs": [[273, 274, 275, 276, 277]], - "id": "204", - "properties": { "name": "Benin" } - }, - { - "type": "Polygon", - "arcs": [[-131, 278, 279, -277, 280, -268, 281, 282]], - "id": "562", - "properties": { "name": "Niger" } - }, - { - "type": "Polygon", - "arcs": [[-278, -280, 283, 284]], - "id": "566", - "properties": { "name": "Nigeria" } - }, - { - "type": "Polygon", - "arcs": [[-130, 285, 286, 287, 288, 289, -284, -279]], - "id": "120", - "properties": { "name": "Cameroon" } - }, - { - "type": "Polygon", - "arcs": [[-275, 290, 291, 292]], - "id": "768", - "properties": { "name": "Togo" } - }, - { - "type": "Polygon", - "arcs": [[-292, 293, 294, 295]], - "id": "288", - "properties": { "name": "Ghana" } - }, - { - "type": "Polygon", - "arcs": [[-270, 296, -295, 297, 298, 299]], - "id": "384", - "properties": { "name": "Côte d'Ivoire" } - }, - { - "type": "Polygon", - "arcs": [[-262, -271, -300, 300, 301, 302, 303]], - "id": "324", - "properties": { "name": "Guinea" } - }, - { - "type": "Polygon", - "arcs": [[-263, -304, 304]], - "id": "624", - "properties": { "name": "Guinea-Bissau" } - }, - { - "type": "Polygon", - "arcs": [[-299, 305, 306, -301]], - "id": "430", - "properties": { "name": "Liberia" } - }, - { - "type": "Polygon", - "arcs": [[-302, -307, 307]], - "id": "694", - "properties": { "name": "Sierra Leone" } - }, - 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}, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: APS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Automotive", - "technology": "FuelCell", - "value": 0.0242115952519722, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Automotive", - "technology_translation": "LDV: Fuel Cell", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: NZE: 2050", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Automotive", - "technology": "FuelCell", - "value": 0, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Automotive", - "technology_translation": "LDV: Fuel Cell", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: STEPS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Automotive", - "technology": "FuelCell", - "value": 0.0110694813406736, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Automotive", - "technology_translation": "LDV: Fuel Cell", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: APS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Automotive", - "technology": "Hybrid", - "value": 0.0466197112099605, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Automotive", - "technology_translation": "LDV: Hybrid", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: NZE: 2050", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Automotive", - "technology": "Hybrid", - "value": 0.0704402374690386, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Automotive", - "technology_translation": "LDV: Hybrid", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: STEPS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Automotive", - "technology": "Hybrid", - "value": 0.0370928440479893, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Automotive", - "technology_translation": "LDV: Hybrid", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: APS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Automotive", - "technology": "ICE", - "value": 0.374306821733382, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Automotive", - "technology_translation": "LDV: ICE", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: NZE: 2050", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Automotive", - "technology": "ICE", - "value": 0.277432733866615, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Automotive", - "technology_translation": "LDV: ICE", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: STEPS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Automotive", - "technology": "ICE", - "value": 0.408544346994852, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Automotive", - "technology_translation": "LDV: ICE", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "GECO2023: 1.5C", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Oil", - "value": 0.786802873645124, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Oil", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "GECO2023: NDC-LTS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Oil", - "value": 0.793114171716207, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Oil", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "GECO2023: Reference", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Oil", - "value": 0.791690774319943, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Oil", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "ISF2023: 1.5°C", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Oil", - "value": 0.819471037620357, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Oil", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: APS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Oil", - "value": 0.831013912537535, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Oil", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: NZE: 2050", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Oil", - "value": 0.82825539089285, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Oil", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: STEPS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Oil", - "value": 0.829959652680256, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Oil", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "GECO2023: 1.5C", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Gas", - "value": 0.204625816319233, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Gas", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "GECO2023: NDC-LTS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Gas", - "value": 0.194707021829573, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Gas", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "GECO2023: Reference", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Gas", - "value": 0.194834087858838, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Gas", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "ISF2023: 1.5°C", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Gas", - "value": 0.169867599711578, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Gas", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: APS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Gas", - "value": 0.159400544539169, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Gas", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: NZE: 2050", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Gas", - "value": 0.162754704668964, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Gas", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: STEPS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Gas", - "value": 0.160222724552553, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Gas", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "GECO2023: 1.5C", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Coal", - "value": 0.00857131003564371, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Coal", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "GECO2023: NDC-LTS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Coal", - "value": 0.0121788064542202, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Coal", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "GECO2023: Reference", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Coal", - "value": 0.0134751378212196, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Coal", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "ISF2023: 1.5°C", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Coal", - "value": 0.0106613626680653, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Coal", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: APS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Coal", - "value": 0.00958554292329608, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Coal", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: NZE: 2050", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Coal", - "value": 0.00898990443818602, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Coal", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - }, - { - "asset_class": "Listed Equity", - "equity_market": "Emerging Market", - "portfolio_name": "iShares MSCI EM UCITS ETF USD (Acc)", - "scenario": "WEO2023: STEPS", - "this_portfolio": false, - "val_type": "Aligned Benchmark", - "ald_sector": "Fossil Fuels", - "technology": "Coal", - "value": 0.00981762276719099, - "asset_class_translation": "Listed Equity", - "equity_market_translation": "Emerging Market", - "ald_sector_translation": "Fossil Fuels", - "technology_translation": "Coal", - "val_type_translation": "Aligned Benchmark", - "portfolio_name_translation": "iShares MSCI EM UCITS ETF USD (Acc)" - } -] diff --git a/src/routes/portfolio_view.svelte b/src/routes/portfolio_view.svelte index 6aa6a23..e7ffa38 100644 --- a/src/routes/portfolio_view.svelte +++ b/src/routes/portfolio_view.svelte @@ -8,10 +8,8 @@ import equityEmissionsPieData from '../json/data_emissions_pie_equity.json'; import techmixData from '../json/data_techexposure.json'; import techOrder from '../json/tech_order_in_sectors.json'; - import mapData from '../json/data_map.json'; import { PieExploded } from '../js/pie_exploded.js'; import { techexposure } from '../js/techexposure'; - import { choropleth } from '../js/map.js'; import { tabulateIntoIncludedTable } from '../js/included_table.js'; onMount(() => { @@ -92,26 +90,6 @@ } } - function fetchMap() { - try { - new choropleth(document.querySelector('#mapBonds'), mapData, undefined, { - default_class: 'Corporate Bonds' - }); - } catch (err) { - document.querySelector('#mapBonds').innerHTML = ''; - document.querySelector('#mapBonds').appendChild(createErrorMessageDiv()); - } - - try { - new choropleth(document.querySelector('#mapEquity'), mapData, undefined, { - default_class: 'Listed Equity' - }); - } catch (err) { - document.querySelector('#mapEquity').innerHTML = ''; - document.querySelector('#mapEquity').appendChild(createErrorMessageDiv()); - } - } - function fetchTable() { try { let opts_table = { @@ -134,7 +112,6 @@ fetchValuePie(); fetchEmissionsPie(); fetchTechmix(); - fetchMap(); }); @@ -229,28 +206,5 @@
-
-
-

Regional exposure per sector or technology within sector

-

- Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla vehicula quam sed mollis - scelerisque. Donec sit amet purus in nibh consequat pretium. Aenean suscipit, ligula et - cursus auctor, justo enim ornare ipsum, quis aliquet augue dui nec mauris. Nam eu ipsum - felis. Etiam eu lorem ac magna facilisis tempus. In at quam lorem. Maecenas consequat vel - tortor nec eleifend. Sed tempor fermentum tincidunt. Vivamus magna diam, hendrerit ac est - et, vulputate mollis orci. Quisque ut elit vitae enim hendrerit pulvinar vel et libero. -

-
-
-
-
Corporate bonds portion of the portfolio
-
-
-
Listed equity portion of the portfolio
-
-
-
-
-
diff --git a/src/routes/sector_view.svelte b/src/routes/sector_view.svelte index 31b608e..8c333af 100644 --- a/src/routes/sector_view.svelte +++ b/src/routes/sector_view.svelte @@ -6,7 +6,6 @@ import traj_data from '../json/data_trajectory_alignment.json'; import emissions_data from '../json/data_emissions.json'; import { ExposureStatsTile } from '../js/exposure_stats.js'; - import { techexposure_future } from '../js/techexposure_future.js'; import { techmix_sector } from '../js/techmix_sector.js'; import { trajectory_alignment } from '../js/trajectory_alignment.js'; import { time_line } from '../js/time_line.js';