40:null 41:["$","title",null,{"children":"Comparison of COVID-19 Death Toll to Other Major Causes and Risk Factors | Marko Lalovic | Observable"}] 47:Te96,{ let caption = html``; if (currentCompare === 0) { caption = html`

The estimated coronavirus deaths will probably span multiple years.

Deaths due to other causes are for the year of 2017. Source: Our World in Data.

` return caption; } else if (currentCompare === 1) { caption = html`

It is possible that estimated coronavirus deaths will span multiple years.

Years of life lost due to other causes are for the year of 2017. Source: Our World in Data.

` return caption; } else { caption = html`

It is possible that estimated coronavirus deaths will span multiple years.

Years of life lost due to other risk factors are for the year of 2017. Source: Our World in Data.

` return caption; } }48:T4ca,md`# Data Sources #### Infection Fatality Rates N. M. Ferguson, D. Laydon, G. Nedjati-Gilani, N. Imai, K. Ainslie, S. B. Marc Baguelin, A. Boonyasiri, Z. Cucunub, G. Cuomo-Dannenburg, A. Dighe, I. Dorigatti, H. Fu, K. Gaythorpe, W. Green, A. Hamlet, W. Hinsley, L. C. Okell, S. van Elsland, H. Thompson, R. Verity, E. Volz, H. Wang, Y. Wang, C. W. Patrick GT Walker, P. Winskill, C. Whittaker, C. A. Donnelly, S. Riley, and A. C. Ghani. Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand. Technical report, Imperial College, 3 2020. https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf #### Case Fatality Rates M. Roser, H. Ritchie, E. Ortiz-Ospina, and J. Hasell. Coronavirus disease (COVID-19) – statistics and research. Our World in Data, 2020 (accessed May 27, 2020). https://ourworldindata.org/coronavirus #### Life Expectancies Life tables by WHO, 2020 (accessed May 27, 2020). https://apps.who.int/gho/data/view.main.LIFEREGIONGLOBAL?lang=en #### Demographics Population Pyramids of the World from 1950 to 2100, 2020 (accessed May 27, 2020). https://www.populationpyramid.net/ `49:T7d8,chart = { let svg = d3.selectAll('svg'); function numberWithCommas(x) { return x.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ","); } function textValue(d, i) { return `${d.name}: ${numberWithCommas(d.number)}` } const colors = ['#fdc086', '#beaed4', '#7fc97f']; const transitionDuration = 200; function update(data) { let firstLine = ''; let secondLine = ''; let thirdLine = ''; let titleListName = ''; let titleListNumber = ''; let titleListMain = ''; let compareList = []; switch (currentCompare) { case 0: compareList = data.compareCauses; titleListName = 'Cause' titleListNumber = 'Deaths' titleListMain = 'How COVID-19 Compares With Causes of Death in '; break; case 1: compareList = data.compareDiseases; titleListName = 'Cause' titleListNumber = 'Yrs of Life Lost' titleListMain = 'How COVID-19 Compares With Causes of Years of Life Lost in '; break; default: compareList = data.compareRisks; titleListName = 'Risk' titleListNumber = 'Yrs of Life Lost' titleListMain = 'How COVID-19 Compares With Risk Factors in Years of Life Lost in '; } const transition = svg.transition() .duration(transitionDuration) .ease(d3.easeLinear); d3.select('svg.compare').call(visualList, { dataList: compareList, titleListName: titleListName, titleListNumber: titleListNumber, titleListMain: titleListMain + countries[selectedId].name, sortList: true, reverseRange: false, xValue: d => d.number, yValue: d => d.name, textValue: textValue, margin: { top: 70, right: 220, bottom: 0, left: 90, }, barPadding: .2, verticalSpacing: 55, transitionDuration: transitionDuration, colors }); } return Object.assign(svg.node(), {update}); }4a:Ta0d,data = { let infected = [0, 0, 0, 0, 0, 0, 0, 0, 0]; let i = 0; for (i = 0; i < 6; i++) { infected[i] = Math.round( prElim * demographics[i] * pctU_below60 + (1 - prElim) * demographics[i] * pctH_below60); } // expected number of infected for (i = 6; i < 9; i++) { infected[i] = Math.round( prElim * demographics[i] * pctU_60plus + (1 - prElim) * demographics[i] * pctH_60plus); } // expected number of deaths let deaths = [0, 0, 0, 0, 0, 0, 0, 0, 0]; for (i = 0; i < deaths.length; i++) { deaths[i] = Math.round( infected[i] * fatalities[i] / 100); } // expected years of life lost let yearsLost = [0, 0, 0, 0, 0, 0, 0, 0, 0]; for (i = 0; i < deaths.length; i++) { yearsLost[i] = Math.round( deaths[i] * lifeExpectanciesGlobal[i] ); } let totalDeaths = Math.round( deaths.reduce((a, b) => a + b, 0) ); let totalYearsLost = Math.round( yearsLost.reduce((a, b) => a + b, 0) ); const covid19Cause = 'COVID-19 (estimate)'; // push estimated coronavirus deaths to majorCauses let majorCauses = [covid19Cause, ...countries[selectedId].majorCauses]; let majorDeaths = [totalDeaths, ...countries[selectedId].majorDeaths]; // push estimated totalYearsLost TODO: DALYs of coronavirus deaths to diseaseNames let diseaseNames = [covid19Cause, ...countries[selectedId].diseaseNames]; let diseaseDALYs = [totalYearsLost, ...countries[selectedId].diseaseDALYs]; // push estimated totalYearsLost TODO: DALYs of coronavirus deaths to riskCauses let riskFactors = [covid19Cause, ...countries[selectedId].riskFactors]; let riskDALYs = [totalYearsLost, ...countries[selectedId].riskDALYs]; function getType(name) { if (name === covid19Cause) { return 'estimate'; } else if (name === 'COVID-19 until May 27, 2020') { return 'until'; } else { return 'other'; } } let compareCauses = []; let compareDiseases = []; let compareRisks = []; for (let i = 0; i < majorCauses.length - 1; i++) { compareCauses[i] = { name: majorCauses[i], number: majorDeaths[i], type: getType(majorCauses[i]) }; } for (let i = 0; i < diseaseNames.length - 1; i++) { compareDiseases[i] = { name: diseaseNames[i], number: diseaseDALYs[i], type: getType(diseaseNames[i]) }; } for (let i = 0; i < riskFactors.length - 1; i++) { compareRisks[i] = { name: riskFactors[i], number: riskDALYs[i], type: getType(riskFactors[i]) }; } return {compareCauses, compareDiseases, compareRisks}; }4b:[] 45:{"id":"b892865104985609","slug":"covid-calculator-estimates-in-context","title":"Comparison of COVID-19 Death Toll to Other Major Causes and Risk Factors","thumbnail":"adab670265c63d47708d5d0a4fce3a01c9a9d393ac7e008ee203fa78974b34d7","access_level":"public","create_time":"$D2020-06-08T12:16:29.938Z","update_time":"$D2021-03-31T21:21:38.875Z","view_time":null,"first_public_time":"$D2020-06-08T14:38:06.237Z","has_unpublished_edits":null,"fork":{"id":"f707c6718c324b3e","slug":"covid-calculator-mortality-by-age","title":"COVID-19 Mortality by Age","owner":{"id":"1d1a2582caf5fc60","login":"markolalovic","name":"Marko Lalovic"}},"stars":0,"starred":false,"owner":{"type":"team","id":"1d1a2582caf5fc60","login":"markolalovic","name":"Marko Lalovic","avatar_url":"https://avatars-next.observableusercontent.com/16070004cabbc8527717f526f34d2f607b4d0d67a7bdabfe1fcce1b23904a308","tier":"starter_2024","bio":"Sharing my visualizations and prototypes, mostly in D3","following":false},"version":901,"publish_version":901,"role":null,"authored":false,"authors":[{"type":"individual","id":"070c06762986c2d4","login":"markolalovic","name":"Marko Lalovic","avatar_url":"https://avatars-next.observableusercontent.com/16070004cabbc8527717f526f34d2f607b4d0d67a7bdabfe1fcce1b23904a308","tier":null,"bio":"Sharing my visualizations and prototypes, mostly in D3","following":false}],"members":[{"type":"individual","id":"070c06762986c2d4","login":"markolalovic","name":"Marko Lalovic","avatar_url":"https://avatars-next.observableusercontent.com/16070004cabbc8527717f526f34d2f607b4d0d67a7bdabfe1fcce1b23904a308","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"4759977c792f8dfd","slug":"calculus-of-covid-19","title":"COVID-19 Viz","owner":{"id":"1d1a2582caf5fc60","login":"markolalovic","name":"Marko Lalovic"}},"type":"notebook","body":{"titling":"auto","title":"Comparison of COVID-19 Death Toll to Other Major Causes and Risk Factors","cells":[{"id":0,"value":"md`# Comparison of COVID-19 Death Toll to Other Major Causes and Risk Factors`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":432,"value":"html`

\nSelect location: (The impact of COVID-19 varies between countries.)\n

\nSelect infection rate: \n(Proportion of all people contracting the novel coronavirus.)\n

\nSelect over 60 infection rate: \n(Proportion of all people over the age of 60 contracting the novel coronavirus.)\n

\n(The proportion of infected people below 60 is then:\n${Math.round(pctH_below60 * 100)}\\%. Since it depends on both overall infection rate and infection rate of people over 60.)\n

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":697,"value":"viewof currentCompare = compareOptions()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":141,"value":"html`

\n \n

\nVary fatality rates: \n(Try increasing the risk of deaths, e.g. to 50%, for low-income country or overwhelmed healthcare. Or decreasing, e.g. to -50%, for expected improved treatments and better healthcare.)\n

\nProbability of eliminating COVID-19: \n(Probability of achieving complete elimination of COVID-19 disease before it manages to infect ${Math.round(pctH * 100)}\\% of population.)\n

\nInfection rate until elimination:\n(Proportion of population that still gets infected even in the event of achieving complete elimination. Note: First increase the probability of elimination for this parameter to take effect.)\n

\nFatality rates:\n(Select estimates of risk of death from infection with the novel coronavirus. Estimates vary between countries and over time. Wider testing can reduce CFR estimates.)\n

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":221,"value":"viewof selectedSource = select(\n [\"Imperial College - IFR\", \n \"China CDC - CFR\", \n \"Korea CDC - CFR\", \n \"JAMA Italy - CFR\",\n \"MISAN Spain - CFR\"])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":872,"value":"md`# About\nThis is part of visualizations I made to explore and analyze the potential impacts of COVID-19. \n\nMore visualizations in a visual tool are accessible here: [https://markolalovic.com/covid-calc/](https://markolalovic.com/covid-calc/)\n\nFor technical details please refer to: [notes](https://markolalovic.github.io/covid-calc/notes.html) or to the: [source code](https://github.com/markolalovic/covid-calc)\n\nClick here to share this notebook on: ${shareTweet(document.baseURI, {\n buttonText: \"Twitter\",\n text: \"@ObservableHQ notebook : Comparison of COVID-19 Death Toll to Other Major Causes and Risk Factors\",\n hashtags: \"COVID19,dataviz\",\n via: \"MarkoLalovic\"\n})}\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":654,"value":"$48","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":510,"value":"md`# Calculations`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":113,"value":"$49","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":89,"value":"$4a","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":114,"value":"chart.update(data)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":269,"value":"demographics = countries[selectedId].demographics;","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":296,"value":"popSize = demographics.reduce((a, b) => a + b, 0);","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":293,"value":"d_60plus = (demographics[6] + demographics[7] + demographics[8]) / popSize; // prop 60+","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":282,"value":"lowerBound = Math.max( 0.01, (pctH - (1 - d_60plus)) / d_60plus);","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":291,"value":"upperBound = Math.min( pctH / d_60plus, 0.99 );","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":302,"value":"ageGroups = ['0-9', '10-19', '20-29', '30-39', '40-49', '50-59', '60-69', '70-79', '80+'];","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":305,"value":"lifeExpectanciesGlobal = [71.625, 62.950, 53.550, 44.400, 35.375, 26.625, 18.600, 11.950, 6.975];","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":308,"value":"fatalitiesBaseline = fatalityRates[selectedSourceId].ftr;","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":311,"value":"fatalities = fatalitiesBaseline.map( fat => (fat * (1 + pctOfChange)) );","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":314,"value":"pctH_below60 = (pctH - pctH_60plus * d_60plus) / (1 - d_60plus);","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":320,"value":"// proportion of 60+ people that are infected until elimination\npctU_60plus = (pctH_60plus / pctH) * pctU;","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":318,"value":"// pct of people below 60 infected until elimination\npctU_below60 = (pctU - pctU_60plus * d_60plus) / (1 - d_60plus); ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":207,"value":"fatalityRates = [\n {\"id\": 0,\n \"source\": \"Imperial College - IFR\",\n \"ftr\": [0.002, 0.006, 0.03, 0.08, 0.15, 0.6, 2.2, 5.1, 9.3] },\n {\"id\": 1,\n \"source\": \"China CDC - CFR\",\n \"ftr\": [0, 0.2, 0.2, 0.2, 0.4, 1.3, 3.6, 8, 14.8] },\n {\"id\": 2,\n \"source\": \"Korea CDC - CFR\",\n \"ftr\": [0, 0, 0, 0.11, 0.08, 0.5, 1.8, 6.3, 13] },\n {\"id\": 3,\n \"source\": \"JAMA Italy - CFR\",\n \"ftr\": [0, 0, 0, 0.3, 0.4, 1, 3.5, 12.8, 20.2] },\n {\"id\": 4,\n \"source\": \"MISAN Spain - CFR\",\n \"ftr\": [0, 0, 0.22, 0.14, 0.3, 0.4, 1.9, 4.8, 15.6] },\n];","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":45,"value":"md`# Imports and Functions`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":860,"value":"import {shareTweet} from \"@pierreleripoll/share-on-twitter-button\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":87,"value":"import { visualList } from \"caa532788db12ca5\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":101,"value":"import {slider} from \"@jashkenas/inputs\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":47,"value":"import {autoSelect} from \"@jashkenas/inputs\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":254,"value":"import {select} from \"@jashkenas/inputs\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":695,"value":"compareOptions = () => {\n const buttons = html`\n \n `\n buttons.value = 0\n\n buttons.deaths.onclick = event => {\n buttons.value = 0;\n event.preventDefault();\n buttons.dispatchEvent(new CustomEvent(\"input\")); \n }\n buttons.diseases.onclick = event => {\n buttons.value = 1;\n event.preventDefault();\n buttons.dispatchEvent(new CustomEvent(\"input\")); \n }\n buttons.risks.onclick = event => {\n buttons.value = 2;\n event.preventDefault();\n buttons.dispatchEvent(new CustomEvent(\"input\")); \n } \n return buttons\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":411,"value":"// for formatting big numbers for totals\nfunction numberWithCommas(x) {\n return x.toString().replace(/\\B(?=(\\d{3})+(?!\\d))/g, \",\");\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":409,"value":"function numberISO(x) {\n return d3.format('.3s')(x)\n .replace('G', 'B');\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":406,"value":"function numberFormatter(x) {\n if (x < Math.pow(10, 6)) {\n return numberWithCommas(x);\n } else {\n return numberISO(x);\n }\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":27,"value":"selectedId = getCountryId(selectedCountry);","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":66,"value":"function getCountryId(selectedCountry) {\n for (var i=0; i < countries.length; i++) {\n if (countries[i].name === selectedCountry) {\n return countries[i].id;\n }\n }\n return 163; // world is the default location\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":233,"value":"selectedSourceId = getSourceId(selectedSource);","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":231,"value":"function getSourceId(selectedSource) {\n for (var i=0; i < fatalityRates.length; i++) {\n if (fatalityRates[i].source === selectedSource) {\n return fatalityRates[i].id;\n }\n }\n return 0; // IFR are default fatality rates\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":557,"value":"html``","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"md`# Load Data`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":847,"value":"countries[0].majorCauses[0]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":12,"value":"countries = {\n const {countries} = await d3.json(\"https://gist.githubusercontent.com/markolalovic/f29f8677d8edc386fd0630d499e98422/raw/bc21f5f68daa554a9ed56763521a89beb9095bea/countries.JSON\");\nreturn countries; \n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W4b","stdlib":"1"}} 46:"$45:body"