saniabidjan

The goal of saniabidjan is to provide survey data about the behavior and practices of managing sanitation facilties in two low-income areas of Abidjan, Cote d’Ivoire.

Installation

You can install the development version of saniabidjan from GitHub with:

# install.packages("devtools")
devtools::install_github("openwashdata/saniabidjan")

## Run the following code in console if you don't have the packages
## install.packages(c("dplyr", "knitr", "readr", "stringr", "gt", "kableExtra"))
library(dplyr)
library(knitr)
library(readr)
library(stringr)
library(gt)
library(kableExtra)

Alternatively, you can download the individual datasets as a CSV or XLSX file from the table below.

dataset	CSV	XLSX
saniabidjan	Download CSV	Download XLSX

Data

The package provides access to one dataset saniabidjan. It contains household survey data in two low-income areas of Abidjan. The focus of the survey is to understand the behavior and practices of the population in terms of managing sanitation facilities, as well as to assess the diseases they face.

library(saniabidjan)

saniabidjan

The dataset saniabidjan contains data about household surveys that cover 101 households in Abobo and 106 households in Yopougon. It has 207 observations and 25 variables

saniabidjan |> 
  head(3) |> 
  gt::gt() |>
  gt::as_raw_html()

area_name	sex	education	housing_type	status	lat_facilities	facilities_loc	facilities_type	lat_sharing	nb_user	impacts_of_sharing	lat_care	clean_freq_wk	tank_presence	tank_location	latrines_nb	tk_status	empty_freq_yr	empty_mode	empty_price	wastwat_dispos	waste_cont	waste_cont_loc	cont_empty_wk	common_ill
Yopougon	male	primary	individual	renter	FALSE	house	improved latrine	FALSE	2	no problems	myself	4	TRUE	court yard	8	performs well	1	emptying truck	40000	street	TRUE	courtyard	2	malaria
Yopougon	female	no	common courtyard	owner	TRUE	yard	pit latrine	FALSE	10	waiting line	myself	2	TRUE	court yard	8	performs well	2	emptying truck	15000	street	TRUE	courtyard	2	malaria
Yopougon	female	high school	common courtyard	renter	TRUE	house	improved latrine	FALSE	5	waiting line	myself	2	TRUE	court yard	3	performs well	1	emptying truck	30000	street	TRUE	out of courtyard	2	malaria

For an overview of the variable names, see the following table.

variable_name	variable_type	description
area_name	factor	Identify survey areas, options including (1) Abobo and (2) Yopougon.
sex	factor	Indicates respondents gender, options including (1) female and (2) male.
education	factor	Level of education of respondents, options including (1) no: the respondent did not go to school, (2) primary: the respondent has an elementary level, (3) coranic: the respondent went to a Quranic school, (4) high school: the respondent has a high school degree, and (5) graduate: the respondent has a university degree.
housing_type	factor	Description of the accommodation unit where the respondent lives, options including (1) common courtyard and (2) individual.
status	factor	Indicates if respondent is the homeowner or not, options including (1) free host: the respondent is hosted for free, (2) owner: the respondent is the homeowner, and (3) renter: the respondent is the renter.
lat_facilities	logical	Does the surveyed household have latrine facilities?
facilities_loc	factor	Specifies the exact location of the latrine in the household, options including (1) house, (2) yard, and (3) out of yard.
facilities_type	factor	Describes the type of latrine used in the household, options including (1) pit latrine, (2) improved latrine, and (3) public latrine.
lat_sharing	logical	Explains how latrines are used in the household
nb_user	numeric	Reveals the number of users of the latrines.
impacts_of_sharing	factor	Indication of how the respondent perceives the use of latrines, options including (1) hygiene problems, (2) no problems, (3) vulnerable to disease, and (4) waiting line.
lat_care	factor	Gives an overview of the people in charge of latrine cleaning, options including (1) myself, (2) no care, and (3) private person, and (4) round turn.
clean_freq_wk	numeric	Specifies the cleaning frequency of latrines in the household.
tank_presence	logical	Does the surveyed household have septic tank?
tank_location	factor	Specifies the exact location of the septic tank in the household, options including (1) court yard, (2) out of court yard, and (3) not know.
latrines_nb	numeric	Reveals the number of latrines connecting to the septic tank.
tk_status	logical	Expresses septic tank performance status.
empty_freq_yr	factor	Indicates the number of times that the septic tank is emptied during the year in the household, options including (1) 1, (2) 2 and (3) 3.
empty_mode	factor	Indicates how the septic tank is emptied in the household, options including (1) emptying truck, (2) manual emptying, and (3) truck and manual.
empty_price	numeric	Shows the charge/price (in CFA franc) for emptying the septic tank.
wastwat_dispos	factor	Show whether the household has wastewater disposal facilities, options including (1) courtyard, (2) open drain, and (3) street.
waste_cont	logical	Does the surveyed household have solid waste disposal facilities?
waste_cont_loc	factor	Precise location of solid waste disposal equipment, options including (1) courtyard and (2) out of courtyard.
cont_empty_wk	numeric	Indicates the emptying frequency of solid waste disposal equipment per week
common_ill	factor	Overview of the most common disease in the household associated with sanitation, options including (1) diarrhea, (2) infections, (3) malaria, and (4) typhoid fever.

Example

library(saniabidjan)
library(ggplot2)
# Provide some example code here
saniabidjan |>
  ggplot(mapping = aes(x = facilities_type)) + 
  geom_bar(aes(fill = lat_care), position = "dodge") +
  labs(title = "Distribution of latrine care for different latrine types", 
       x = "Type of facilities",
       fill = "Latrine care type") 

Capstone Project

This dataset is shared as part of a capstone project in Data Science for openwashdata. For more information about the project and to explore further insights, please visit the project page at https://ds4owd-001.github.io/project-coulbyph/

License

Data are available as CC-BY.

Citation

Please cite this package using:

citation("saniabidjan")
#> To cite package 'saniabidjan' in publications use:
#> 
#>   Zié Zoumana Coulibaly P, Dongo K, Zhong M (2024). "saniabidjan: Data
#>   About Behavior and Practices of Managing Sanitation Facilties in
#>   Abidjan, Cote d’Ivoire." doi:10.5281/zenodo.13134220
#>   <https://doi.org/10.5281/zenodo.13134220>,
#>   <https://github.com/openwashdata/saniabidjan>.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Misc{ziezoumanacoulibaly_etall:2024,
#>     title = {saniabidjan: Data About Behavior and Practices of Managing Sanitation Facilties in Abidjan, Cote d’Ivoire},
#>     author = {Phaniwa {Zié Zoumana Coulibaly} and Kouassi Dongo and Mian Zhong},
#>     year = {2024},
#>     doi = {10.5281/zenodo.13134220},
#>     url = {https://github.com/openwashdata/saniabidjan},
#>     abstract = {This data package contains household survey data collected from two low-income areas of Abidjan, Cote d'Ivoire. The survey was focusing on practices related to the management of sanitation facilities, specifically, latrines and tanks.},
#>     keywords = {abidjan,cote-d-ivoire,household-surveys,open-data,openwashdata,r,sanitation,wash,water-management},
#>     version = {0.0.1},
#>   }