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[null,"1.","Record Nr.",null,"UNINA9910823375903321"]
[null,null,"Autore",null,"Campesato Oswald"]
[null,null,"Titolo",null,"Dealing with Data Pocket Primer"]
[null,null,"Pubbl/distr/stampa",null,"Bloomfield : , : Mercury Learning & Information, , 2022"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"1-5231-4740-7"]
[{"$nulls":4},"1-68392-818-0"]
[{"$nulls":4},"1-68392-819-9"]
[null,null,"Descrizione fisica",null,"1 online resource (246 pages)"]
[null,null,"Collana",null,"Computing"]
[null,null,"Disciplina",null,"001.42"]
[null,null,"Soggetti",null,"Quantitative research - Reliability"]
[{"$nulls":4},"Quantitative research - Data processing"]
[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,"Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Probability and Statistics -- Chapter 2: Working with Data -- Chapter 3: Introduction to Pandas -- Chapter 4: Introduction to RDBMS and SQL -- Chapter 5: Working with SQL and MySQL -- Chapter 6: NLP and Data Cleaning -- Chapter 7: Data Visualization -- Index"]
[null,null,null,"Sommario/riassunto","As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available. FEATURES: Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization. Introduces probability and statistical concepts. Features numerous code samples throughout. Includes companion files with source code and figures."]