Cultural Data Science An Introduction to R /

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 histo...

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Bibliografske podrobnosti
Glavni avtor:	Klinke, Harald (Author)
Korporativna značnica:	SpringerLink (Online service)
Format:	Elektronski eKnjiga
Jezik:	angleščina
Izdano:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Izdaja:	1st ed. 2025.
Serija:	Quantitative Methods in the Humanities and Social Sciences,
Teme:	Quantitative research. Information visualization. Art > History. Data Analysis and Big Data. Data and Information Visualization. Art History.
Online dostop:	https://doi.org/10.1007/978-3-031-88130-5
Oznake:	Označite Brez oznak, prvi označite!

Kazalo:

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.

Cultural Data Science An Introduction to R /

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