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InsulaR: un gruppo cagliaritano di utenti di R (Davide Massidda)

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SLIDES Primo intervento giornata 24 Maggio 2013 :
"Una Statistica più consapevole per decisioni migliori.
Giornata di Metodologia e Statistica per le Scienze Umane."
TITOLO "InsulaR: un gruppo cagliaritano di utenti di R (Davide Massidda, Francesco Cabiddu, Gianmarco Altoè)"
Università degli studi di Cagliari. Dipartimento di Pedagogia, Psicologia e Filosofia.

- See more at: http://www.insular.it

Published in: Technology
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InsulaR: un gruppo cagliaritano di utenti di R (Davide Massidda)

  1. 1. D. Massidda, F. Cabiddu, G. Alto`eUniversit`a di Cagliariwww.insular.itCagliari, 24 Maggio 2013
  2. 2. Indice1 L’era dei dati2 Il progetto R3 Utilizzare R4 InsulaR
  3. 3. L’era dei dati
  4. 4. L’era dei datiLa corsa ai dati• Il XXI secolo guarda sempre pi`u ai dati come a una risorsa: essi pos-sono essere utilizzati per rappresentare la realt`a, capirla, interpretarlae quindi governarla.• Ormai l’hanno capito tutti: centri di ricerca, aziende, pubbliche ammi-nistrazioni.• `E un’opportunit`a da non lasciarsi sfuggire... ma dobbiamo attrezzarciadeguatamente!• Infatti, i dati sono importanti in quanto contengono informazioni. Maqueste informazioni richiedono opportune tecniche e adeguati stru-menti per essere estratte.
  5. 5. L’era dei datiDai dati all’informazione• Le discipline statistiche offrono una soluzione.• La statistica si occupa dell’analisi quantitativa e qualitativa di fenomeni,adeguatamente misurati e quindi trasformati in un codice numerico.• Attraverso specifiche elaborazioni statistiche, `e possibile risalire dalvalore numerico all’informazione sul comportamento di un fenomeno.
  6. 6. L’era dei dati
  7. 7. L’era dei datiCosa `e un data scientist?• Un atleta in grado di nuotare in mezzo ai dati, capace di esplora-re i numeri attraverso opportune analisi statistiche e visualizzazionigrafiche.• Una tecnico in grado di utilizzare gli strumenti informatici per il trat-tamento dei dati.• Un esperto conoscitore del fenomeno sotto analisi, capace di guidarelo studio del dato e individuare le strade pi`u fertili su cui orientare illavoro.• Un artista creativo, in grado di intrecciare dati preesistenti per trovaresoluzioni originali a un problema.
  8. 8. L’era dei datiCome trovare un data scientist?Davenport e Patil (2012):“Esamina i membri dei gruppi di utenti dedicati agli strumenti della datascience. Gli R User Group (strumento statistico open source privilegiato daidata scientist) e i Python Interest Group sono dei buoni punti di partenza.”
  9. 9. L’era dei datiCome trovare un data scientist?Davenport e Patil (2012):“Esamina i membri dei gruppi di utenti dedicati agli strumenti della datascience. Gli R User Group (strumento statistico open source privilegiato daidata scientist) e i Python Interest Group sono dei buoni punti di partenza.”Due importanti aspetti da segnalare:• L’importanza di conoscere strumenti open source come R o Python.• L’importanza di essere sul web e di lasciarvi una traccia evidente.
  10. 10. Il progetto R
  11. 11. Il progetto RIl progetto R• R `e un pacchetto statistico che permette di elaborare dati, eseguirecalcoli ed effettuare rappresentazioni grafiche (...e molto altro!)• `E nato attorno al 1995 presso il Dipartimento di Statistica dell’Univer-sit`a di Auckland. I primi sviluppatori furono Robert Gentleman e RossIhaka.• Fin dall’inizio, il progetto R aveva l’obiettivo di fornire un ambientestatistico di alta qualit`a e a costo zero.• Oggi, R `e diventato il riferimento per le analisi statistiche nel mondoaccademico, e negli ultimi anni sta entrando prepotentemente anche inquello aziendale.
  12. 12. Il progetto RUn progetto di successo• Gratuito: svincola l’utilizzatore dalla dipendenza da costose licenzesoftware che difficilmente un privato potrebbe permettersi.• Potente: permette di gestire modelli statistici dai pi`u semplici ai pi`ucomplessi e di realizzare rappresentazioni grafiche di alto livello.• Personalizzabile: `e concepito come un linguaggio di programmazio-ne, per cui consente all’utente di creare istruzioni personalizzate perrisolvere problemi nuovi, originariamente non previsti dal programma,oppure per migliorare istruzioni gi`a esistenti.• All’avanguardia: difficilmente l’ultima frontiera dell’analisi statisti-ca non ha un’implementazione in R. E se non ce l’ha oggi, moltoprobabilmente ce l’avr`a domani (se non tra qualche ora).
  13. 13. Il progetto RUn software open source• R `e un software libero, distribuito con licenza GNU GPL: l’utente halibert`a di utilizzo, copia, modifica e ridistribuzione del prodotto.• R `e anche un software open source: i suoi codici sorgenti sono noti,per cui chiunque pu`o modificarli e utilizzarli come base per prodottiderivati.• Gli utenti possono collaborare attivamente allo sviluppo di R, principal-mente creando e diffondendo nuovi pacchetti di istruzioni (ce ne sonotantissimi... dall’analisi di dati fMRI al sudoku!)
  14. 14. Utilizzare R
  15. 15. Utilizzare RLa sintassi RR `e un linguaggio interpretato: attraverso un terminale si inviano delleistruzioni a un interprete, il quale elabora in diretta la richiesta e fornisceun risultato.
  16. 16. Utilizzare RLa sintassi RR `e un linguaggio interpretato: attraverso un terminale si inviano delleistruzioni a un interprete, il quale elabora in diretta la richiesta e fornisceun risultato.R come calcolatrice> 2+2 > log(1)[1] 4 [1] 0
  17. 17. Utilizzare RLa sintassi RR `e un linguaggio interpretato: attraverso un terminale si inviano delleistruzioni a un interprete, il quale elabora in diretta la richiesta e fornisceun risultato.R come calcolatrice> 2+2 > log(1)[1] 4 [1] 0Lettura di un file di dati> dataset < − read.table(“myfile.csv”, header=T, sep=“;”)
  18. 18. Utilizzare RLa sintassi RR `e un linguaggio interpretato: attraverso un terminale si inviano delleistruzioni a un interprete, il quale elabora in diretta la richiesta e fornisceun risultato.R come calcolatrice> 2+2 > log(1)[1] 4 [1] 0Lettura di un file di dati> dataset < − read.table(“myfile.csv”, header=T, sep=“;”)Analisi della varianza> model < − lm(resp ∼ block * stimulus, data=dataset)
  19. 19. Utilizzare RInterfacce: R Commanderhttp://www.rcommander.com
  20. 20. Utilizzare RInterfacce: R Studiohttp://www.rstudio.com
  21. 21. Utilizzare RInterfacce: RKWardhttp://rkward.sourceforge.net
  22. 22. Utilizzare RPrincipali usi di RManipolazione dei datiAnalisi statistica dei datiCreazione di graficiReportisticaWeb scraping...e tanto altro ancora!Il tutto pu`o essere eseguito in maniera automatizzata preparando degliscript di istruzioni.
  23. 23. Utilizzare RAvvertenzeManeggiare con cura• In quanto strumento per l’analisi statistica, R permette di comprenderemeglio i dati che abbiamo a disposizione, estraendo l’informazione dalvalore numerico.• A differenza di altri software, per`o, non `e un “punta e clicca”: richiedeall’utente un uso consapevole della metodologia d’analisi.
  24. 24. Utilizzare RAvvertenzeManeggiare con cura• In quanto strumento per l’analisi statistica, R permette di comprenderemeglio i dati che abbiamo a disposizione, estraendo l’informazione dalvalore numerico.• A differenza di altri software, per`o, non `e un “punta e clicca”: richiedeall’utente un uso consapevole della metodologia d’analisi.
  25. 25. Utilizzare RAvvertenzeAgitare bene (l’utente) prima dell’uso• L’utente necessita di un adeguato addestramento all’uso del linguag-gio: il principale pregio di R si rivela essere anche un ostacolo per chivorrebbe usarlo senza avere nozioni di programmazione.• L’utente necessita anche di un adeguato addestramento all’uso dellemetodologie statistiche.
  26. 26. InsulaR
  27. 27. InsulaRLe motivazioni• In un mondo dove le risorse economiche sono sempre pi`u esigue, ma larichiesta di utilizzo dei dati `e sempre maggiore, R pu`o rappresentare unagrande risorsa. E questo sia che si parli di Universit`a che di pubblicheamministrazioni o aziende private.• Nonostante questo, R in Sardegna `e ancora poco diffuso.
  28. 28. InsulaRLe motivazioni• In un mondo dove le risorse economiche sono sempre pi`u esigue, ma larichiesta di utilizzo dei dati `e sempre maggiore, R pu`o rappresentare unagrande risorsa. E questo sia che si parli di Universit`a che di pubblicheamministrazioni o aziende private.• Nonostante questo, R in Sardegna `e ancora poco diffuso.• L’idea di un gruppo di “useR” cagliaritani scaturisce dalla forte richiestaproveniente da alcuni studenti dei corsi di laurea di psicologia di Cagliaridi imparare a utilizzare il software.• Da questa necessit`a, nasce la prima community di utenti cagliaritaniutilizzatori di R.
  29. 29. InsulaRGli scopi• Condividere la conoscenza sull’uso di R, sia all’interno del gruppo cheall’esterno.- Corsi di formazione- Articoli sul blog
  30. 30. InsulaRGli scopi• Condividere la conoscenza sull’uso di R, sia all’interno del gruppo cheall’esterno.- Corsi di formazione- Articoli sul blog• Creare una rete di utilizzatori di R nell’Isola.- Giornate d’incontro- Mailing list
  31. 31. InsulaRGli scopi• Condividere la conoscenza sull’uso di R, sia all’interno del gruppo cheall’esterno.- Corsi di formazione- Articoli sul blog• Creare una rete di utilizzatori di R nell’Isola.- Giornate d’incontro- Mailing list• Divulgare dati secondo la filosofia “open”.- Dati prodotti dalla ricerca scientifica- Dati prodotti in ambito non accademico
  32. 32. InsulaRCorso “Introduzione all’ambiente R”Il corso si propone di introdurre lo studente all’uso dell’ambiente R, permetterlo in grado di esplorare e analizzare dati in completa autonomia.Al termine del corso, lo studente sar`a in grado di organizzare un dataset,importarlo in R ed eseguire le principali operazioni di pulizia, visualizzazionee analisi dei dati.Il corso `e organizzato in quattro moduli:1 Il linguaggio R: primi passi2 Manipolazione dei dati3 Visualizzazione dei dati4 Analisi statistica dei dati
  33. 33. InsulaRDove trovarciwww.insular.it
  34. 34. Grazie per l’attenzioneContatti:Davide Massidda davide.massidda@gmail.comFrancesco Cabiddu cabiddu@hotmail.itGianmarco Alto`e giamma.alto@gmail.com

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