Package: SchoolDataIT
Type: Package
Title: Retrieve, Harmonise and Map Open Data Regarding the Italian
        School System
Version: 0.2.12
Authors@R: c(person(given = "Leonardo", 
             family = "Cefalo", 
             role = c("aut", "cre"),
             email = "leonardo.cefalo@uniba.it",
             comment = c(ORCID = "0009-0001-7776-723X")),
             person(given = "Alessio",
             family = "Pollice", 
             role = c("ctb","ths"),
             email="alessio.pollice@uniba.it",
             comment = c(ORCID = "0000-0002-2818-9373")),
             person(given = "Paolo",
             family = "Maranzano",
             role = c("ctb"),
             email = "pmaranzano.ricercastatistica@gmail.com",
             comment = c(ORCID = "0000-0002-9228-2759")))
Author: Leonardo Cefalo [aut, cre] (ORCID:
    <https://orcid.org/0009-0001-7776-723X>),
  Alessio Pollice [ctb, ths] (ORCID:
    <https://orcid.org/0000-0002-2818-9373>),
  Paolo Maranzano [ctb] (ORCID: <https://orcid.org/0000-0002-9228-2759>)
Maintainer: Leonardo Cefalo <leonardo.cefalo@uniba.it>
Description: Compiles and displays the available data sets regarding the Italian school system, with a focus on the infrastructural aspects.
    Input datasets are downloaded from the web, with the aim of updating everything to real time.  
    The functions are divided in four main modules, namely 
    'Get', to scrape raw data from the web
    'Util', various utilities needed to process raw data
    'Group', to aggregate data at the municipality or province level
    'Map', to visualize the output datasets.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/lcef97/SchoolDataIT
LazyData: true
RoxygenNote: 7.3.2
Imports: curl, dplyr, ggplot2, grDevices, httr, leafpop, magrittr,
        readr, rlang, rvest, sf, stringr, tidyr, utils, xml2
Suggests: knitr, mapview, readxl, rmarkdown, testthat (>= 3.0.0),
        tidyverse
Config/testthat/edition: 3
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-12-17 11:03:42 UTC; Leonardo
Repository: CRAN
Date/Publication: 2025-12-17 11:20:02 UTC
Built: R 4.5.3; ; 2026-03-22 04:24:04 UTC; windows
