SchoolDataIT0.2.1 package

Retrieve, Harmonise and Map Open Data Regarding the Italian School System

Get_AdmUnNames

Download the names and codes of Italian LAU and NUTS-3 administrative ...

Get_BroadBand

Download the data regarding the broad band connection activation in It...

Get_DB_MIUR

Download the database of Italian public schools buildings

Get_InnerAreas

Download the classification of peripheral municipalities

Get_Invalsi_IS

Download the Invalsi census survey data

Get_nstud

Download students' number data

Get_nteachers_prov

Download the number of teachers in Italian schools by province

Get_Registry

Download the registry of Italian public schools from the school regist...

Get_School2mun

Associate a Municipality (LAU) code to each school

Get_Shapefile

Download the shapefiles of Italian NUTS-3 and LAU administrative units

Group_DB_MIUR

Aggregate the database of Italian public schools buildings at the muni...

Group_nstud

Aggregate the students number data by class at the municipality and pr...

Group_teachers4stud

Arrange the number of teachers per students in public Italian schools ...

Map_DB

Map school data

Map_Invalsi

Display a map of Invalsi scores

Map_School_Buildings

Display data fom the school buildings database

SchoolDataIT-package

SchoolDataIT: Retrieve, Harmonise and Map Open Data Regarding the Ital...

Set_DB

Build up a comprehensive database regarding the school system

Util_Check_nstud_availability

Check how many schools in the school registries are included in the st...

Util_DB_MIUR_bool

Clean and convert the raw school buildings data to Boolean variables

Util_DB_MIUR_num

Convert the raw school buildings data to numeric or Boolean variables

Util_Invalsi_filter

Filter the Invalsi data by subject, school grade and year.

Util_nstud_wide

Clean the raw dataframe of the number of students and arrange it in a ...

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.