2d:null 2e:["$","title",null,{"children":"This is for estimation | anndawn | Observable"}] 33:T409,roosc={ const figure = html`

`; e.chart(figure, { chart: { type: 'column' }, title: { text: 'Rate of Out-of-School Children in Northeastern States' }, xAxis: { categories: [ 'Bauchi', 'Gombe', 'Yobe', 'Adamawa', 'Taraba', 'Borno' ], crosshair: true }, yAxis: { min: 0, title: { text: 'Rate of Out-of-School Children' } }, tooltip: { headerFormat: '{point.key}', pointFormat: '' + '', footerFormat: '

{series.name}:

{point.y:.1f} %

', shared: true, useHTML: true }, plotOptions: { column: { pointPadding: 0.13, borderWidth: 0 } }, series: [{ name: 'Primary', data: [ 59.8, 62.3, 43.5, 43.6, 39.7, 22] }, { name: 'Secondary', data: [ 55.49, 65.72, 38.47, 37.5,33.27,15.94] }] }); return figure }34:T634,// Create the chart pie={ const piecontainer=html`

` e.chart(piecontainer, { chart: { type: 'pie' }, title: { text: 'SMLA Project Target Population' }, subtitle: { text: 'Click the slices to view Age group.' }, plotOptions: { series: { dataLabels: { enabled: true, format: '{point.name}: {point.y:.1f} thousand' } } }, tooltip: { headerFormat: '{series.name}
', pointFormat: '{point.name}: {point.per}%
' }, series: [ { name: "Total Target", colorByPoint: true, data: [ { name: "Out of school", y: 728.5, per:72.85, drilldown: "Out of school" }, { name: "IDP", y: 271.5, per:27.15, drilldown: "IDP" } ] } ], drilldown: { series: [ { name: "Out of school", id: "Out of school", data: [ { name: "Age 6-11", y:345.9, per:34.59 }, { name:"Age 12-18", y:382.6, per:38.26 }] }, { name: "IDP", id: "IDP", data: [ { name:"Age 6-17", y:278.6, per:27.86 }, { name:"Age 18-59", y:333.2, per:33.32 } ] } ] } }); return piecontainer }35:T43b,IDP={ const idp=html`

` e.chart(idp, { chart: { type: 'bar' }, title: { text: 'Demorgraphic Profile of IDPs' }, subtitle: { text: 'Source: IOM' }, xAxis: [{ categories: categories, reversed: false, labels: { step: 1 } }, { // mirror axis on right side opposite: true, reversed: false, categories: categories, linkedTo: 0, labels: { step: 1 } }], yAxis: { title: { text: null }, labels: { formatter: function () { return Math.abs(this.value) + '%'; } } }, plotOptions: { series: { stacking: 'normal' } }, tooltip: { formatter: function () { return '' + this.series.name + ', age ' + this.point.category + '
' + 'Population Proportion: ' + e.numberFormat(Math.abs(this.point.y), 0)+"%"; } }, series: [ { name: 'Female', data: [ -5.2,-11.6,-14.3,-17.1,-5.5 ] }, { name: 'Male', data: [ 4.4,8.8,12.2,15.6,5.5 ] }] }); return idp }36:[] 31:{"id":"cd573d10fa586e62","slug":"this-is-for-estimation","title":"This is for estimation","thumbnail":"f68d7068110374c46c0e5020d31724bf96a9687514fdbee6b449b8445335b1e3","access_level":"public","create_time":"$D2019-06-03T10:56:45.284Z","update_time":"$D2021-09-27T00:36:59.932Z","view_time":null,"first_public_time":"$D2019-06-03T11:46:16.669Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"08b25cc9d2cc09a6","login":"anndawn","name":"","avatar_url":"https://avatars-next.observableusercontent.com/a9bef462081f7a77e161e2b21c48a5ea6a7153836b0db2eb8a565396dcfc57c5","tier":"starter_2024"},"version":192,"publish_version":192,"role":null,"authored":false,"authors":[{"type":"individual","id":"b0fc265f2fad2840","login":"anndawn","name":"","avatar_url":"https://avatars-next.observableusercontent.com/a9bef462081f7a77e161e2b21c48a5ea6a7153836b0db2eb8a565396dcfc57c5","tier":null}],"members":[{"type":"individual","id":"b0fc265f2fad2840","login":"anndawn","name":"","avatar_url":"https://avatars-next.observableusercontent.com/a9bef462081f7a77e161e2b21c48a5ea6a7153836b0db2eb8a565396dcfc57c5","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"title":"This is for estimation","cells":[{"id":0,"value":"md`# This is for estimation`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":4,"value":"e= require('highcharts')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":71,"value":"s=require(\"https://code.highcharts.com/modules/drilldown.js\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":52,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":68,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":109,"value":"// Data gathered from http://populationpyramid.net/germany/2015/\n\n// Age categories\ncategories = ['0-1', '1-5', '6-17', '18-59','60+'];","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":104,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W36","stdlib":"1","titling":"auto"}} 32:"$31:body"