This dataset was created during the italian election campaign of 2022. indecis.it website fetches and display these data in order to highlight differences in electoral programs.
Data are downloaded from this Google Sheet and are available thanks to these wonderful people .
root
├── 📂 data
│ ├── 📄 categories.csv
│ ├── 📄 categories.json
│ ├── 📄 file.csv
│ └── 📄 file.json
├── 📂 script
│ └── 📄 download.sh
├── 📄 datapackage.yaml
├── 📄 README.md
└── 📄 LICENSE
Data dictionary and metadata
Every file in data
folder is described according to frictionless data standards in the datapackage.yaml
field
type
description
example
id
integer
Category ID
1
slug
string
Category slug
economic-affairs
name
string
Italian name of the category
Affari economici
description
string
Italian description of the category
Lorem ipsum
field
type
description
example
id
integer
Source ID
1
title
string
Source title
Programma elettorale PD
slug
string
Source slug
programma-elettorale-pd
type
string
Source type
programma
url
URL
Source URL
https://www.indecis.it
list
string
Electoral list name
Partito Democratico
list_id
integer
Electoral list ID
1
field
type
description
example
id
integer
Party ID
1
party
string
Party name
Partito Democratico
list_id
integer
Electoral list ID
5
list
string
Electoral list name
Partito Democratico
coalition_id
integer
Coalition ID
1
coalition
string
Coalition name
Centro-sinistra
field
type
description
example
id
integer
Coalition ID
1
coalition
string
Coalition name
Centro-sinistra
field
type
description
example
id
integer
Leader ID
1
name
string
Leader name
Giorgia
surname
string
Leader surname
Meloni
list
string
Electoral list name
Fratelli d'Italia
list_id
string
Electoral list ID
1
profile_pic
URL
Profile image URL
https://www.indecis.it
wikipedia_url
URL
Wikipedia page URL
https://www.indecis.it
field
type
description
example
id
integer
Item ID
3
category
string
Category name in Italian
Social protection
category_id
integer
Category ID
10
subject
string
Subject name
Alloggi popolari
subject_slug
string
Subject slug
alloggi-popolari
subject_id
string
Subject ID
source
string
Source title
Programma elettorale AVS
source_slug
string
Source slug
programma-elettorale-avs
list
string
Electoral list name
Alleanza Verdi e Sinistra
list_id
integer
Electoral list ID
6
endorsement
string
Endorsement referred to the subject. See endorsements file for more information
green
description
string
Description of the position taken by the list
Lorem ipsum
field
type
description
example
id
integer
Subject ID
1
subject
string
Subject name
Alloggi popolari
slug
string
Subject slug
alloggi-popolari
url
URL
URL of an external reference
https://it.wikipedia.org/wiki/Tariffe_del_gas
source
string
External source name
Wikipedia
title
string
Title of the web page
Tariffe del gas
description
string
Explanation of the subject
Lorem ipsum
field
type
description
example
id
integer
Endorsement ID
1
description
string
Description of endorsement types
Lorem ipsum
icon
string
Color of the icon to display
green
color_code
string
HEX code
#50CEBB
field
type
description
example
id
integer
Row ID
1
post_id
integer
Post ID
1
url
string
Post URL
https://indecis.it
post_title
string
Post title
Lorem ipsum
post_subtitle
string
Post subtitle
Lorem ipsum
type
string
Post type
articolo
source
string
Post source
Lorem ipsum
subject
string
Subject name
Nucleare
list
string
Electoral list name
Partito Democratico
subject_id
integer
Subject ID
1
list_id
integer
Electoral list ID
1
If you wanna use indecis.it data in your works, you can follow these easy instructions. Locate the raw URL of the file you are interested in and use it as follows
You can import a CSV
file in your Google Spreadsheet by entering this formula in a cell
=IMPORTDATA("https://raw.githubusercontent.com/indecis-it/data/main/data/categories.csv")
You can import the entire dataset in R using this code
categories <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/categories.csv" )
coalitions <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/coalitions.csv" )
endorsements <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/endorsements.csv" )
glossary <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/glossary.csv" )
items <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/items.csv" )
leaders <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/leaders.csv" )
lists <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/lists.csv" )
parties <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/parties.csv" )
press <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/press.csv" )
relic <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/relic.csv" )
sources <- read.csv(" https://raw.githubusercontent.com/indecis-it/data/main/data/sources.csv" )
You can import the entire dataset in MATLAB using this code
categories = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/categories.csv" )
coalitions = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/coalitions.csv" )
endorsements = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/endorsements.csv" )
glossary = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/glossary.csv" )
items = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/items.csv" )
leaders = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/leaders.csv" )
lists = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/lists.csv" )
parties = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/parties.csv" )
press = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/press.csv" )
relic = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/relic.csv" )
sources = readtable(" https://raw.githubusercontent.com/indecis-it/data/main/data/sources.csv" )