publiccode.yml

# This repository adheres to the publiccode.yml standard by including this 
# metadata file that makes public software easily discoverable.
# More info at https://github.com/italia/publiccode.yml

publiccodeYmlVersion: '0.2'
releaseDate: '2019-05-31'
name: PDND Open Notebooks
url: 'https://github.com/teamdigitale/pdnd-open-notebooks'
isBasedOn: 'https://github.com/teamdigitale/daf-nteract'
developmentStatus: beta
softwareType: standalone/web
platforms:
  - web
roadmap: 'https://github.com/teamdigitale/daf-nteract/projects/1'
categories:
  - data-analytics
  - data-visualization
  - productivity-suite
dependsOn:
  open:
    - name: PDND nteract
      versionMin: v0.12.3.1
      optional: true
maintenance:
  type: community
  contacts:
    - name: Alessandro Ercolani
      affiliation: Team per la Trasformazione Digitale
      email: alessandro@teamdigitale.governo.it
legal:
  license: BSD-3-Clause
  mainCopyrightOwner: nteract contributors
  repoOwner: Team per la Trasformazione Digitale
  authorsFile: 'https://github.com/teamdigitale/pdnd-open-notebooks/blob/master/AUTHORS'
intendedAudience:
  scope:
    - research
    - science-and-technology
  countries:
    - it
localisation:
  localisationReady: false
  availableLanguages:
    - en
it:
  countryExtensionVersion: '0.2'
  riuso:
    codiceIPA: pcm
description:
  it:
    genericName: Jupyter notebook
    shortDescription: >-
      Data science avanzata grazie a Jupiter notebook interfacciati direttamente
      agli open data italiani: condividili con la comunità!
    longDescription: >
      La [Piattaforma Digitale Nazionale dei
      Dati](https://dataportal.daf.teamdigitale.it/) (ex DAF) contiene migliaia
      di dataset rilasciati dalle pubbliche amministrazioni italiane con licenze
      open data. Il progetto
      [PDND-nteract](https://github.com/teamdigitale/daf-nteract) integra le API
      della PDND all'interno della suite di analisi dati
      [Jupyter](https://jupyter.org/) grazie al progetto open source
      [nteract](https://nteract.io/) di cui è un'estensione. Questo repository
      contiene notebook di analisi liberamente consultabili e riutilizzabili
      grazie a una versione dockerizzata per la data science rilasciata dal
      progetto Jupyter. Ambienti di sviluppo supportati: **Python3**, **R** e
      **Julia**. Per approfondire lo stack tecnologico leggi
      [qui](https://jupyter-docker-stacks.readthedocs.io/en/latest/). Per
      scoprire il progetto PDND-nteract puoi cominciare da
      [qui](https://github.com/teamdigitale/daf-nteract).


      ​
    documentation: >-
      https://github.com/teamdigitale/pdnd-open-notebooks/blob/master/open-notebooks-example/tutorial.ipynb
    apiDocumentation: >-
      https://docs.italia.it/italia/daf/daf-dataportal-it-docs/it/bozza/dataportal-privato/api.html
    features:
      - data science
      - data analysis
    screenshots:
      - >-
        img/start.png
      - >-
        img/elections-bar.png
      - >-
        img/elections-2019.png
      - >-
        img/r.png
    videos:
      - 'https://www.youtube.com/watch?v=nlZnYcz66YE'
  en:
    genericName: Jupyter notebook
    shortDescription: >-
      Advanced data science on Italian open data using Jupyter notebooks: share
      yours!
    longDescription: >
      [PDND-nteract](https://github.com/teamdigitale/daf-nteract) is a
      customisation of [nteract](https://nteract.io/) that allows users
      registered into the [PDND](https://dataportal.daf.teamdigitale.it/) to
      search and load datasets into the notebook from about 7000 italians public
      datasets. This repo contains a set of notebooks devoloped using
      [pdnd-nteract](https://github.com/teamdigitale/daf-nteract) on top of a
      [datascience docker
      image](https://github.com/jupyter/docker-stacks/tree/master/datascience-notebook)
      provided by [jupyter project](https://jupyter.org/). The image contains a
      ready to use datascience environment with the most used datascience
      libraries for **python3**, **R**, and **Julia**. If you want to deepen
      about the set of libraries you can read
      [this](https://jupyter-docker-stacks.readthedocs.io/en/latest/). If you
      want to know more about the project you can start from
      [here](https://github.com/teamdigitale/daf-nteract).
    documentation: >-
      https://github.com/teamdigitale/pdnd-open-notebooks/blob/master/open-notebooks-example/tutorial.ipynb
    apiDocumentation: >-
      https://docs.italia.it/italia/daf/daf-dataportal-it-docs/it/bozza/dataportal-privato/api.html
    features:
      - data science
      - data analysis
    screenshots:
      - >-
        img/start.png
      - >-
        img/elections-bar.png
      - >-
        img/elections-2019.png
      - >-
        img/r.png
    videos:
      - 'https://www.youtube.com/watch?v=nlZnYcz66YE'
applicationSuite: PDND nteract