Multivariate analysis and indices construction: data mining applied to the rural water and sanitation sector in Honduras

Complementary material from the case study “Multivariate Analysis and Indices Construction: Data Mining Applied to the Rural Water and Sanitation Sector in Honduras”, part of the book “Case Studies to Integrate and Promote Global Issues in STEM Education”.

Bibliographic Details
Authors: Vergara Fuentes, Camila Francisca, Pérez Foguet, Agustí|||0000-0002-2737-4710
Format: book part
Publication Date:2018
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/118616
Online Access:https://hdl.handle.net/2117/118616
Access Level:Open access
Keyword:Community development -- Technological innovations
Community development -- Study and teaching
Sustainable development -- Technological innovations
Sustainable development -- Study and teaching
Engineering -- Study and teaching
SDGs
Case studies
Teaching materials
Water and sanitation
R software
Desenvolupament comunitari -- Ensenyament
Desenvolupament comunitari -- Innovacions tecnològiques
Desenvolupament sostenible -- Innovacions tecnològiques
Desenvolupament sostenible -- Ensenyament
Enginyeria -- Ensenyament
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Cooperació per al desenvolupament::Educació per al desenvolupament
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible
Description
Summary:Complementary material from the case study “Multivariate Analysis and Indices Construction: Data Mining Applied to the Rural Water and Sanitation Sector in Honduras”, part of the book “Case Studies to Integrate and Promote Global Issues in STEM Education”.