openwashdata/fslogisticskampala

Data on faecal sludge transporting logistics in Kampala, Uganda # fslogisticskampala The goal of fslogisticskampala is to provide data on faecal sludge transporting logistics in Kampala, Uganda. The package contains two datasets: `trips` records the GPS locations of emptying trucks collecting sludge from pit latrines and septic tanks, and `trucks` records the volume of each truck. The records cover the period from 30th March 2015 until 25th June 2015. The raw data was published as supplementary material of an open-access article in the journal Sustainability (MDPI). ## Installation You can install the development version of fslogisticskampala from GitHub with: ``` r # install.packages("devtools") devtools::install_github("openwashdata/fslogisticskampala") ``` ``` r ## Run the following code in console if you don't have the packages ## install.packages(c("dplyr", "knitr", "readr", "stringr", "gt", "kableExtra", "leaflet")) library(dplyr) library(knitr) library(readr) library(stringr) library(gt) library(kableExtra) library(leaflet) ``` Alternatively, you can download the individual datasets as a CSV or XLSX file from the table below. | dataset | CSV | XLSX | |:---|:---|:---| | trips | Download CSV | Download XLSX | | trucks | Download CSV | Download XLSX | ## Data The package provides access to two datasets `trips` and `trucks`. ``` r library(fslogisticskampala) ``` ### trips The dataset `trips` contains data about the GPS locations of faecal sludge trucks collecting sludge from pit latrines and septic tanks in Kampala, Uganda. Each trip is recorded with a unique identifier, the numberplate of the truck, the date and time of the record. Data was collected from 30th March 2015 until 25th June 2015. It has 5653 observations and 7 variables ``` r trips |> head(3) |> gt::gt() |> gt::as_raw_html() ``` fid numberplate date time lat lon plant 117 UAS 119X 2015-03-30 10:53:03 0.358437 32.55036 Bugolobi 118 UAS 119X 2015-03-31 03:53:41 0.348626 32.57229 Bugolobi 119 UAS 119X 2015-03-31 10:33:01 0.322447 32 …