34:["$","title",null,{"children":"Code for visualization #3a of the EXHAUSTION research project | Tom Gabriel Johansen | Observable"}] 3c:T512,{ // Canvas Definition const canvas = DOM.canvas(1580, 1540); // Setting the cnavas size canvas.style.backgroundColor = "white"; // Ensure the canvas has a background canvas.style.zIndex = "1000"; // Ensure the canvas is on top of other elements // X-axis Scale Definition const xScale = d3 .scaleLinear() .domain([2020, 2095]) .range([0, 1580 - 1580 / filteredData.length]); // Adjust the range to remove margin // Drawing on the Canvas const ctx = canvas.getContext("2d"); // Calculate the exact width of each column const columnWidth = 1580 / filteredData.length; // Clear the canvas ctx.clearRect(0, 0, canvas.width, canvas.height); filteredData.forEach((d) => { const baseX = xScale(d.Period); // Multiply the Excess value by 5 for the five-year interval for (let i = 0; i < d.Excess * 5; i++) { const x = Math.floor(baseX + Math.random() * columnWidth); 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EXHAUSTION is a EU-funded H2020 project.\nMore info about this Horizon2020 research project can be found here: https://www.exhaustion.eu/ or on X here: @ExhaustionH2020\n\nThis notebook is established by the design team from Infodesignlab who is partner in EXHAUSTION research project to code the visualization #3a.\n\nThis notepad has been used to visualize the increase in heat-related mortality that is due to increasing ambient temperatures and more days of extreme heat resulting from a warming climate.\n\nThe visualization of deaths from a warming climate in Europe is only part of the final visualizations. The final static visualization is also added to this notebook for more accurate context.\n\n\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":230,"value":"org_ssp11 = FileAttachment(\"ORG_SSP1@1.png\").image()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":231,"value":"org_ssp31 = FileAttachment(\"ORG_SSP3@1.png\").image()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3,"value":"null","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6,"value":"data = await FileAttachment(\"data for Observable4 (1).csv\").csv({typed: \"auto\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"data","database":"$undefined"},{"id":7,"value":"filteredData = data.filter(\n (d) =>\n d.Period !== 2015 &&\n d.SSP === 3 && // Can be changed to see SSP1 and SSP2. Value 1 or 3\n d[\"Temperature Range\"] === \"tot\" &&\n d[\"Sub-scenario\"] === \"full-demo\"\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":174,"value":"## Horizontal viz\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":23,"value":"$3c","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":148,"value":"## Vertical visualization for web and social media","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":145,"value":"$3d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":76,"value":"viewof pixelColor = html`\n

\n Enter HEX value: \n \n \n

\n \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":78,"value":"{\n // Calculate the number of dots for each 'Period'\n const dotCounts = filteredData.map((d) => ({\n Period: d.Period,\n Dots: d.Excess * 5\n }));\n\n // Calculate the total number of dots\n const totalDots = dotCounts.reduce((acc, curr) => acc + curr.Dots, 0);\n\n // Create a table to display the counts\n const table = html`\n \n \n \n \n \n \n \n ${dotCounts.map(\n (d) => html`\n \n \n \n \n `\n )}\n \n \n \n \n \n

Period	Dots
${d.Period}	${d.Dots}
Total	${totalDots}

`;\n\n return table;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W3e","stdlib":"1"}} 33:null