Social development practitioner. Trying to understand our world.
Published unlisted
Edited
Mar 11, 2022
Inputs.table(nepal_active)
nepal_active = Array.from(Array.from(data_grouped)[0][1])[0][1]
data_grouped = d3.group(data, d => d.Country, d=> d.Status)
data = d3.csvParse(`Project Number,Project Name,Country,Financing,Project Type or Modality,Status,Approval Date
1001-023,Water Supply Project,Nepal,Sovereign,Loan,Active,3/7/2008
1001-013,Irrigated Agriculture Sector Project,Nepal,Sovereign,Loan,Active,14/12/2004
1001-043,Water Supply Improvement Project,Nepal,Sovereign,Loan,Active,16/09/2011
1002-015,Urban Water Supply and Sanitation (Sector) Project,Nepal,Sovereign,Loan,Active,26/09/2018
1002-043,Flood Management in Selected River Basins,Indonesia,Sovereign,Loan,Active,30/09/2016
1002-013,Omnibus Infrastructure Development,"Micronesia, Federated States of",Sovereign,Loan | Technical Assistance,Active,5/11/2004
1004-013,Harbor Expansion Project,Maldives,Sovereign,Grant | Technical Assistance,Active,16/08/2016
1005-013,Wastewater Management Project,Sri Lanka,Sovereign,Loan,Active,28/09/2009
1005-023,Integrated Urban Environmental Improvement Project,Nepal,Sovereign,Loan,Active,6/7/2010
`)
d3.rollup(data, d => d.length, d => d.Country, d=> d.Status)
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