3f:null 40:["$","title",null,{"children":"Fertility Rates | Ross Mills | Observable"}] 46:T5e3,// Map of country names found in topJson data to the names in the CIA World Factbook fertility data mappings = d3.csvParse(`topojsonName,ciaName "Antigua and Barbuda",Antigua and Barb. "Bahamas, The",Bahamas "Bosnia and Herzegovina",Bosnia and Herz. "British Virgin Islands",British Virgin Is. "Burma", "Cayman Islands",Cayman Is. "Central African Republic",Central African Rep. "Congo, Democratic Republic of the",Dem. Rep. Congo "Congo, Republic of the",Congo "Cook Islands",Cook Is. "Cote d'Ivoire",Côte d'Ivoire "Curacao",Curaçao "Dominican Republic",Dominican Rep. "Equatorial Guinea",Eq. Guinea "Eswatini", "Faroe Islands",Faeroe Is. "French Polynesia",Fr. Polynesia "Gambia, The",Gambia "Gaza Strip", "Gibraltar", "Korea, North",North Korea "Korea, South",South Korea "Macau",Macao "Marshall Islands",Marshall Is. "Micronesia, Federated States of",Micronesia "Northern Mariana Islands",N. Mariana Is. "Saint Barthelemy",St-Barthélemy "Saint Helena, Ascension, and Tristan da Cunha",Saint Helena "Saint Kitts and Nevis",St. Kitts and Nevis "Saint Martin",St-Martin "Saint Pierre and Miquelon",St. Pierre and Miquelon "Saint Vincent and the Grenadines",St. Vin. and Gren. "Sao Tome and Principe",São Tomé and Principe "Solomon Islands",Solomon Is. "South Sudan",S. Sudan "Turks and Caicos Islands",Turks and Caicos Is. "Tuvalu", "United States",United States of America "Virgin Islands",U.S. Virgin Is. "Wallis and Futuna",Wallis and Futuna Is. "West Bank", `, d3.autoType);47:[{"id":"254a99fef9cfdc739794cf276a25ffce226b9d17d64789497bbed4935f1fda7d621149894d3a06e546f0e5c53beda2580db0166433ff2fac65397af1aa3627ea","href":"https://static.observableusercontent.com/files/254a99fef9cfdc739794cf276a25ffce226b9d17d64789497bbed4935f1fda7d621149894d3a06e546f0e5c53beda2580db0166433ff2fac65397af1aa3627ea","name":"countries-50m.json","type":"application/json","lastModified":1636408940055.322,"size":756420},{"id":"b44208d201a590d4cebacbfb1a52bedebb4d79dc081f210eb2b0750ad5d20e3c91c51b782b0ccba4baf599213552f24f78023a30b2994bf2678ad1105e8acb36","href":"https://static.observableusercontent.com/files/b44208d201a590d4cebacbfb1a52bedebb4d79dc081f210eb2b0750ad5d20e3c91c51b782b0ccba4baf599213552f24f78023a30b2994bf2678ad1105e8acb36","name":"export.csv","type":"text/csv","lastModified":1636409011426.493,"size":14599}] 44:{"id":"93c39852bd4945e7","slug":"fertility-rates","title":"Fertility Rates","thumbnail":"092a62c33fb6ca15b9d0d0ddb0b69cb81c6b356ade95294ece3e86f7176ca15a","access_level":"public","create_time":"$D2021-11-08T22:02:20.055Z","update_time":"$D2021-11-15T10:53:45.671Z","view_time":null,"first_public_time":"$D2021-11-15T10:50:16.646Z","has_unpublished_edits":null,"fork":{"id":"305227651b1938c9","slug":"d3-world-map","title":"D3 world map","owner":{"id":"f35c755083683fe5","login":"observablehq","name":"Observable"}},"stars":0,"starred":false,"owner":{"type":"team","id":"55e9268ccca383a5","login":"rossmills99","name":"Ross Mills","avatar_url":"https://avatars-next.observableusercontent.com/edf6d8f13cc81ae6ed5c2a7f7911f9b522006a0413d822217f3666daf05d1366","tier":"starter_2024","bio":"Software engineer and hands-on tech leader. Creating and collaborating on interesting software projects gets me out of bed in the morning.","following":false},"version":373,"publish_version":373,"role":null,"authored":false,"authors":[{"type":"individual","id":"3d55deecec17df75","login":"rossmills99","name":"Ross Mills","avatar_url":"https://avatars-next.observableusercontent.com/edf6d8f13cc81ae6ed5c2a7f7911f9b522006a0413d822217f3666daf05d1366","tier":null,"bio":"Software engineer and hands-on tech leader.\n","following":false}],"members":[{"type":"individual","id":"3d55deecec17df75","login":"rossmills99","name":"Ross Mills","avatar_url":"https://avatars-next.observableusercontent.com/edf6d8f13cc81ae6ed5c2a7f7911f9b522006a0413d822217f3666daf05d1366","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Fertility Rates","cells":[{"id":0,"value":"md`# Fertility Rates`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":317,"value":"md`The map visualises data on fertility rates from the CIA World Factbook https://www.cia.gov/the-world-factbook/field/total-fertility-rate/country-comparison.\n\nFrom the linked page:\n\n> Total fertility rate (TFR) compares figures for the average number of children that would be born per woman if all women lived to the end of their childbearing years and bore children according to a given fertility rate at each age. TFR is a more direct measure of the level of fertility than the crude birth rate, since it refers to births per woman.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":353,"value":"md`A diverging color scale is used with fertility rate 2.1 as the midpoint. This represents the \"replacement rate\" at which population is neither growing nor shrinking. Countries with fertility rates above 2.1 (in red) have growing populations while those with fertility rates below 2.1 (in blue) have shrinking populations. For a few countries the data are not available and these are colored grey.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":29,"value":"map = {\n cScale;\n return htl.html``\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":279,"value":"Legend(cScale, {\n title: 'Fertility rate'\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":365,"value":"md`---`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":145,"value":"cScale = d3.scaleSequential(d3.interpolateRdBu).domain([4.2, 0])// Math.max(...(fertilityRates.map(d => Number(d.value))))])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":128,"value":"{\n function clearTip() {\n d3.selectAll('.tooltip').remove();\n }\n return d3.select(map).selectAll(\".country\")\n .data(countries.features)\n .enter().insert(\"path\", \".graticule\")\n .attr(\"class\", \"country\")\n .attr(\"d\", path)\n .attr('id', d => d.properties.name)\n .style(\"fill\", d => {\n const name = d.properties.name;\n let found = findRateByName(name);\n if (!found) \n return 'grey';\n return cScale(Number(found.value));\n }).append('title')\n .classed('tooltip', true)\n .text(d => {\n let found = findRateByName(d.properties.name);\n if (!found) return d.properties.name;\n return d.properties.name + ': ' + found.value;\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":163,"value":"function findRateByName(name) {\n return fertilityRates.find(rate => \n getTopoJsonNameFromCiaDataName(rate.name) === name);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":215,"value":"$46","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":181,"value":"getTopoJsonNameFromCiaDataName = n => {\n const mapped = mappings.find(d => d.topojsonName == n) \n if (mapped) return mapped.ciaName;\n return n;\n };\n ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":141,"value":"countries = topojson.feature(world, world.objects.countries)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4,"value":"projection = d3.geoEqualEarth()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":40,"value":"path = d3.geoPath(projection)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":25,"value":"height = {\n const [[x0, y0], [x1, y1]] = d3.geoPath(projection.fitWidth(width, outline)).bounds(outline);\n const dy = Math.ceil(y1 - y0), l = Math.min(Math.ceil(x1 - x0), dy);\n projection.scale(projection.scale() * (l - 1) / l).precision(0.2);\n return dy;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":22,"value":"outline = ({type: \"Sphere\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":114,"value":"graticule = d3.geoGraticule10()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":16,"value":"land = topojson.feature(world, world.objects.land)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":105,"value":"borders = topojson.mesh(world, world.objects.countries, (a, b) => a !== b)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"world = FileAttachment(\"countries-50m.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":119,"value":"fertilityRates = FileAttachment(\"export.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":272,"value":"import { Legend } from '@d3/color-legend'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W47","stdlib":"1"}} 45:"$44:body"