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This package contains four datasets from an urban water and sanitationsurvey in Dhaka, Bangladesh conducted byWater and Sanitation for theUrban Poor with technical support fromValidInternational in March 2017.

• popBGD: Dataset on estimated population of each primary samplingunit (PSU) that were surveyed. This dataset is a mix of data fromWorldPop for the non-slum areas and fromthe2014 Bangladesh Census of Slum Areas and FloatingPopulation.

• ppiMatrixBGD: Look-up table for calculating thePoverty Probability Index (previously calledProgress out of Poverty Index) orPPI from Bangladesh-specificindicators collected from cross-sectional surveys. This look-up tableis extracted from documentation of thePPI found athttps://www.povertyindex.org

• surveyDataBGD: Dataset collected through the urban water andsanitation surveys conducted by WSUP in Dhaka, Bangladesh.

• indicatorsDataBGD: Dataset produced fromsurveyDataBGD bycalculating relevant indicators on water, sanitation and hygiene asspecified and defined by WSUP

This survey in Dhaka is one of a series of surveys to be conducted byWSUP 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 othercities are completed and datasets have been made available.

To install the package, issue the following commands in R:

install.packages("washdata")

Install development version of the package via GitHub:

# if (!require) remotes install.packages("remotes")remotes::install_github("katilingban/washdata")

If you find thewashdata package useful please cite using thesuggested citation provided by a call to thecitation() function asfollows:

citation("washdata")#> To cite washdata in publications use:#>#>   Ernest Guevarra (2024). _washdata: Urban Water and Sanitation Survey#>   Dataset_. doi:10.5281/zenodo.4058890#>   <https://doi.org/10.5281/zenodo.4058890>, R package version 0.1.4,#>   <https://katilingban.io/washdata/>.#>#> A BibTeX entry for LaTeX users is#>#>   @Manual{,#>     title = {washdata: Urban Water and Sanitation Survey Dataset},#>     author = {{Ernest Guevarra}},#>     year = {2024},#>     note = {R package version 0.1.4},#>     url = {https://katilingban.io/washdata/},#>     doi = {10.5281/zenodo.4058890},#>   }

Feedback, bug reports and feature requests are welcome; file issues orseek supporthere. Ifyou would like to contribute to the package, please see ourcontributingguidelines.

This project is released with aContributor Code ofConduct. Byparticipating in this project you agree to abide by its terms.