Published
Edited
Jun 1, 2020
md`## Regional reporting on SDG 4`
r1
region_list=["European Union (EU)", "Central American", "African Union (AU)","Organization of Ibero-American States (OEI)",'Caribbean Community (CARICOM)',"South Asian Association for Regional Cooperation (SAARC)", "Pacific Community", "Pacific Islands Forum", "Pacific Regional Education Framework(PacREF)", "Southeast Asian Ministers of Education Organization (SEAMEO)", "United Nations Economic Commission for Latin America and the Caribbean (CEPAL)", "The Commonwealth"]
textbox= {
const data=updata(Selection).map(d=>d.Target)
const description=indicators_description.filter(d=>data.includes(d.Target)).map(d=>d.Description)
const txtdiv = document.createElement("div");
for (let d of description){
txtdiv.appendChild(md`${d}`)
}
return txtdiv;
}
indicators_description=d3.csvParse(await FileAttachment('indicators.csv').text(), d3.autoType)
Indicator_list=indicators_description.map(d=>d.Target)
Country_list=d3.csvParse(await FileAttachment('test@6.csv').text(), d3.autoType)
updata('Angola')
// chart("Medical_practitioners","total")
updata = (selection) => {
let selected=[]
if(r1=='Target'){
selected = data.filter(d=>(d.Target == selection)&(d.Sub_Target == 'total'));
}else if(r1=='Region'){
selected = data.filter(d=>(d.Region == selection)&(d.Sub_Target == 'total'));
}else{
const selection_iso = map.features.filter(d => d.properties.name==selection)
selected = selection_iso.length>0?Country_list.filter(d=>(d.ISO == selection_iso[0].id)):[]
return selected
}
const selected_reporting = selected.filter(d => d.Report_status == 'Yes');
return selected_reporting;
}
d3 = require("d3@5")
$ = require('jquery')
d3tip=require('d3-tip')
d3legend=require('d3-svg-legend')
import {autoSelect} from "@jashkenas/inputs"
import {select} from "@jashkenas/inputs"
import {table} from "@tmcw/tables@513"
import {textarea} from "@jashkenas/inputs"
import {radio} from "@jashkenas/inputs"
import { callout } from "@d3/line-chart-with-tooltip"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
