Kieran Healy - Data Visualization A Practical Introduction - Inglese - Copertina rigida

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Kieran Healy Data Visualization
A Practical Introduction Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane

Descrizione

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"This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language ...."--Page 4 of cover.


Info autore










Kieran Healy


Riassunto

An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to t

Testo aggiuntivo

"Undoubtedly, this book is an excellent introduction to an essential tool for anyone who needs to collect and present data."

Dettagli sul prodotto

Autori Kieran Healy
Editore Princeton University Press
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 31.12.2018
Categoria Scienze sociali, diritto, economia > Sociologia > Teorie sociologiche
Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
 
EAN 9780691181615
ISBN 978-0-691-18161-5
Numero di pagine 292
 
Categorie Data Mining, Debugging, Addition, SOCIAL SCIENCE / Sociology / General, MATHEMATICS / Probability & Statistics / General, Grammar, COMPUTERS / Mathematical & Statistical Software, SOCIAL SCIENCE / Methodology, RStudio, ggplot2, Cherry Picking, year, Calculation, Cluster analysis, data visualization, Social research & statistics, Life expectancy, Information visualization, Mathematical & statistical software, Social research and statistics, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Data Science / General, statistic, Mathematical and statistical software, Data capture and analysis, Data Capture & Analysis, Cheat Sheet, model checking, linear regression, inference, Estimation, Generalized Additive Model, Sensitivity Analysis, Robust Regression, Exploratory Data Analysis, Data Set, Result, Markdown, polynomial regression, Quantity, Histogram, Instruction set, Instance (computer science), Bar chart, Pie chart, Schematic, Variable (computer science), cartesian coordinate system, coefficient, Subset, Subtitle (captioning), Accuracy and precision, Dummy variable (statistics), Percentage, Error bar, Rule of thumb, Scientific notation, likert scale, Convenience function, GEOM, Typeface, Purple America, Plain text, Level of detail, Knitr, Portable Network Graphics, Ranking (information retrieval), Cook's distance, Newline, Syntax error, Shapefile, Path (computing), correlation does not imply causation, Scatter Plot, Temporary variable, Poisson point process, Case sensitivity, Categorical variable, Backslash, Spline (mathematics), Sanity check, Lossless compression, Summary statistics, Hadley Wickham
 

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