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[null,"1.","Record Nr.",null,"UNISALENTO991001023439707536"]
[null,null,"Autore",null,"Baconcini, Carlo"]
[null,null,"Titolo",null,"Corso per soccorritori / Carlo Baconcini ... [et al.] ; [realizzato dalla] RAI TV, Dipartimento Scuola Educazione"]
[null,null,"Pubbl/distr/stampa",null,"Torino : ERI, Edizioni Rai, 1979"]
[null,null,"Descrizione fisica",null,"162 p. ; 21 cm."]
[null,null,"Collana",null,"Studio ; 5"]
[null,null,"Soggetti",null,"Pronto soccorso"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Il volume raccoglie il materiale del \"Corso per soccorritori\" che il Dipartimento Scuola Educazione della RAI ha realizzato in collaborazione con la Regione Liguria, Assessorato Sanità Igiene e Ambiente e con il CNR, Laboratorio Tecnologie Didattiche."]
[null,"2.","Record Nr.",null,"UNINA9911003694403321"]
[null,null,"Autore",null,"Klinke Harald"]
[null,null,"Titolo",null,"Cultural Data Science : An Introduction to R / / by Harald Klinke"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-88130-3"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (159 pages)"]
[null,null,"Collana",null,"Quantitative Methods in the Humanities and Social Sciences, , 2199-0964"]
[null,null,"Disciplina",null,"001.422"]
[{"$nulls":4},"005.7"]
[null,null,"Soggetti",null,"Quantitative research"]
[{"$nulls":4},"Information visualization"]
[{"$nulls":4},"Art - History"]
[{"$nulls":4},"Data Analysis and Big Data"]
[{"$nulls":4},"Data and Information Visualization"]
[{"$nulls":4},"Art History"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1 Introduction -- Chapter 2 Setting up R -- Chapter 3 First Steps -- Chapter 4 First Data -- Chapter 5 Exploring Data -- Chapter 6 Compare data -- Chapter 7 Case Study 1: Picasso from creation to acquisition -- Chapter 8 Subdividing and combining data sets -- Chapter 9 Case Study 2: Photography Aspect Ratios -- Chapter 10 Case Study 3: Overview of the MNBAQ Dataset -- Chapter 11 Stacked bar plot -- Chapter 12 Working with Images -- Chapter 13 Case Study: Image plot -- Chapter 14 Dimensions -- Chapter 15 Network Visualizations -- Chapter 16 Image Analysis -- Chapter 17 Cloud Computing -- Chapter 18 Epilogue: The Future of Cultural Data Science."]
[null,null,null,"Sommario/riassunto","This book addresses growing demand in the visual humanities for foundational knowledge in data analysis, image processing, and artificial intelligence. Intended for readers without prior technical knowledge, its eighteen chapters introduce key concepts in data science through examples from art history, visual computing, and cloud technologies. For advanced readers, it explores how digital methods enhance our understanding of our cultural past. Focusing on image-based humanities research, the book demonstrates practical applications using open source software such as R, RStudio, and "]
[{"$nulls":4},"ImageMagick, along with open data sets from institutions like the MoMA, the Met, and the Rijksmuseum. Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience."]