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[null,"1.","Record Nr.",null,"UNINA9910806880103321"]
[null,null,"Autore",null,"Rühlemann Christoph"]
[null,null,"Titolo",null,"Visual linguistics with R : a practical introduction to quantitative Interactional Linguistics / Christoph Rühlemann"]
[null,null,"Pubbl/distr/stampa",null,"Philadelphia, : John Benjamins Publishing Company, 2020"]
[null,null,"ISBN",null,"90-272-6098-2"]
[null,null,"Descrizione fisica",null,"1 online resource (270 p.) : il"]
[null,null,"Disciplina",null,"410.2855133"]
[null,null,"Soggetti",null,"Computational linguistics"]
[{"$nulls":4},"Information visualization"]
[{"$nulls":4},"R (Computer program language)"]
[{"$nulls":4},"Conversation analysis - Data processing"]
[{"$nulls":4},"Discourse analysis - Data processing"]
[{"$nulls":4},"Linguistics - Statistical methods"]
[{"$nulls":4},"Grammar, Comparative and general - Syntax - Data processing"]
[{"$nulls":4},"Lingüística - Métodos estadísiticos"]
[{"$nulls":4},"Lingüística matemática"]
[{"$nulls":4},"R (Lenguaje de programación)"]
[{"$nulls":4},"Lingüística e informática"]
[{"$nulls":4},"Análisis del discurso - Proceso de datos"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Bibliografía"]
[null,null,"Nota di contenuto",null,"Data management in R -- Graphical parameters -- Location plots -- Barplots -- Dotcharts -- Heatmaps and dendrograms -- Strip charts and violin plots -- Scatter plots -- Association plots and mosaic plots -- Box plots -- Histograms and density plots."]
[null,null,null,"Sommario/riassunto","\"This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics. Focusing on visualization in R, the book presents original case studies on conversational talk-in-interaction based on corpus data and explains in good detail how key graphs in the case studies were programmed in R. It also includes task sections to enable readers to conduct their own research and compute their own visualizations in R. Both the code underlying the key graphs in the case studies and the datasets used in the case studies as well as in the task sections are "]
[{"$nulls":4},"made available on the book's companion website\"--"]