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2","thumbnail":"eb13f711705335fc99bb15d979da2f93379a267e2925d5d36f0b51e8bed5381b","access_level":"public","create_time":"$D2019-11-13T07:56:01.478Z","update_time":"$D2019-11-13T08:06:38.703Z","view_time":null,"first_public_time":"$D2019-11-13T08:06:48.591Z","fork":{"id":"6d5bc94358006b8e","slug":"warming-stripes","title":"Warming Stripes","owner":{"id":"838b0e1f071b09c2","login":"fkohlgrueber","name":"Felix Kohlgrüber"}},"stars":1,"starred":false,"owner":{"type":"team","id":"838b0e1f071b09c2","login":"fkohlgrueber","name":"Felix Kohlgrüber","avatar_url":"https://avatars-next.observableusercontent.com/208694c817c90012ca7dc25c892878ed7baed09069e09c8e7e4eb459d9f870cb","tier":"starter_2024"},"version":502,"publish_version":502,"role":null,"authored":false,"authors":[{"type":"individual","id":"203a10ff16ffb618","login":"fkohlgrueber","name":"Felix Kohlgrüber","avatar_url":"https://avatars-next.observableusercontent.com/208694c817c90012ca7dc25c892878ed7baed09069e09c8e7e4eb459d9f870cb","tier":null}],"members":[{"type":"individual","id":"203a10ff16ffb618","login":"fkohlgrueber","name":"Felix Kohlgrüber","avatar_url":"https://avatars-next.observableusercontent.com/208694c817c90012ca7dc25c892878ed7baed09069e09c8e7e4eb459d9f870cb","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"Warming Stripes 2","cells":[{"id":358,"value":"md`\n# Warming Stripes 2\n*Making them identical to [showyourstripes.info](https://showyourstripes.info).*\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":76,"value":"md`## World (1850-2018)\n\n**Data Source:** [The HadCRUT Dataset](https://www.metoffice.gov.uk/hadobs/hadcrut4/)
\n**Direct link** (*accessed 9/10/2019*): [monthly](https://www.metoffice.gov.uk/hadobs/hadcrut4/data/current/time_series/HadCRUT.4.6.0.0.monthly_ns_avg.txt ), [annual](https://www.metoffice.gov.uk/hadobs/hadcrut4/data/current/time_series/HadCRUT.4.6.0.0.annual_ns_avg.txt)\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":43,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":483,"value":"md`\n## World Annual\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":150,"value":"to_svg(world_annual, 200)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":488,"value":"md`\n## World Annual (from monthly data)\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":168,"value":"to_svg(partition_data(world_monthly, 12), 200)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":15,"value":"function to_svg(data, height){\n const fill = d3.scaleSequential(d3.interpolateViridis).domain([-2, 2]);\n var color = d3.scaleQuantize()\n // The scale is expanded by 0.05 (min) and 0.015 (max). Using the monthly data, \n // this produces a plot identical to the one shown on showyourstripes.info.\n // You can use 0.049 and 0.016 to get an identical plot for the annual data.\n .domain([Math.min.apply(Math, data)-0.05, Math.max.apply(Math, data)+0.015])\n .range(color_scale);\n return html``;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":239,"value":"md`

\n## Appendix\n\nThis section contains the code that makes everything work ;-)\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":17,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":52,"value":"function partition_data(data, num_elmts){\n let array = [];\n for (let i=0; i a + b, 0)/slice.length);\n }\n return array;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"color_scale = [\"#08306b\", \"#08519c\", \"#2171b5\", \"#4292c6\", \"#6baed6\", \"#9ecae1\", \"#c6dbef\", \"#deebf7\", \"#fee0d2\", \"#fcbba1\", \"#fc9272\", \"#fb6a4a\", \"#ef3b2c\", \"#cb181d\", \"#a50f15\", \"#67000d\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":250,"value":"import { select } from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W35","stdlib":"1","titling":"auto"}} 32:"$31:body"