openwashdata/watercostaccra

Data of household survey on water costs and coping strategies in Accra associated with a project report completed by Elizabeth Vicario for the “data science for openwashdata” course # watercostaccra The goal of watercostaccra is to provide users with documentation on two surveys on household water costs, coping mechanisms as well as water point estimates conducted in November 2023 in Accra, Ghana. The data sets are associated with the following project report completed by Elizabeth Vicario for the “data science for openwashdata” course offered by openwashdata.org. ## Installation You can install the development version of watercostaccra from GitHub with: ``` r # install.packages("devtools") devtools::install_github("openwashdata/watercostaccra") ``` Alternatively, you can download the individual data sets as a CSV or XLSX file from the table below. | dataset | CSV | XLSX | |:---|:---|:---| | households | Download CSV | Download XLSX | | waterpoints | Download CSV | Download XLSX | ## Data The package provides access to household water costs, coping mechanisms as well as water point estimates. ``` r library(watercostaccra) ``` The `households` data set contains data about a household survey on water costs and coping strategies in Accra. It has 116 observations and 89 variables. variable_name variable_type description community factor the communities surveyed, options including `1` kg: Korle Gonno and `2` abuja: Abuja housing_type factor housing type, options includin `1` block_unit: unit in a row of apartments made of cement blocks, `2` wood_unit: unit in a row of apartments made of wood, `3` house, `4` compound_house: single-story L- or C-shaped house with a multiple units around a shared courtyard, `5` multistory_apt: multi-story apartment building, `6` wood_shack: wooden shack, `7` no_structure, and `8` other respondent_relationship_to_hh factor respondent’s relationship to the household head (respondent identified), options including `1` self, `2` child, `3` spouse, and `4` other_relative gender factor gender (self-identified) of respondent, options including `1` female and `2` ma …