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washdata  

Urban Water and Sanitation Survey Dataset
View on CRAN: Click here


Download and install washdata package within the R console
Install from CRAN:
install.packages("washdata")

Install from Github:
library("remotes")
install_github("cran/washdata")

Install by package version:
library("remotes")
install_version("washdata", "0.1.4")



Attach the package and use:
library("washdata")
Maintained by
Ernest Guevarra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-05
Latest Update: 2020-09-29
Description:
Urban water and sanitation survey dataset collected by Water and Sanitation for the Urban Poor (WSUP) with technical support from Valid International. These citywide surveys have been collecting data allowing water and sanitation service levels across the entire city to be characterised, while also allowing more detailed data to be collected in areas of the city of particular interest. These surveys are intended to generate useful information for others working in the water and sanitation sector. Current release version includes datasets collected from a survey conducted in Dhaka, Bangladesh in March 2017. This survey in Dhaka is one of a series of surveys to be conducted by WSUP in various cities in which they operate including Accra, Ghana; Nakuru, Kenya; Antananarivo, Madagascar; Maputo, Mozambique; and, Lusaka, Zambia. This package will be updated once the surveys in other cities are completed and datasets have been made available.
How to cite:
Ernest Guevarra (2018). washdata: Urban Water and Sanitation Survey Dataset. R package version 0.1.4, https://cran.r-project.org/web/packages/washdata. Accessed 03 Feb. 2025.
Previous versions and publish date:
0.1.2 (2018-01-05 16:59), 0.1.3 (2020-09-29 18:10)
Other packages that cited washdata R package
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Other R packages that washdata depends, imports, suggests or enhances
Complete documentation for washdata
Functions, R codes and Examples using the washdata R package
Some associated functions: indicatorsDataBGD . popBGD . ppiMatrixBGD . surveyDataBGD . washdata . 
Some associated R codes: data.R .  Full washdata package functions and examples
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