Open AccessUsing Multiple Correspondence Analysis to Measure Multidimensional Poverty in Congo
Author(s) -
Samuel Ambapour
Publication year - 2020
Publication title -
journal of data analysis and information processing
Language(s) - English
Resource type - Journals
eISSN - 2327-7203
pISSN - 2327-7211
DOI - 10.4236/jdaip.2020.84014
Subject(s) - poverty , vulnerability (computing) , basic needs , construct (python library) , measure (data warehouse) , multiple correspondence analysis , socioeconomics , development economics , geography , economics , economic growth , statistics , mathematics , computer science , computer security , database , programming language