Exploratory data analysis using R / Ronald K. Pearson.
Material type:
- text
- unmediated
- volume
- 9781498730235
- 006.312 PER 23
- QA76.9.D343 P429 2018
Item type | Current library | Collection | Call number | Status | Barcode | |
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Air University's Aerospace and Aviation Campus Kamra Computer Science | Computer Science | 006.312 PER (Browse shelf(Opens below)) | Available | AUKP1508 |
Browsing Air University's Aerospace and Aviation Campus Kamra shelves, Shelving location: Computer Science , Collection: Computer Science Close shelf browser (Hides shelf browser)
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006.312 EMC Data Science & Big Data Analytics : Discovering, Analyzing, Visualizing and Presenting Data | 006.312 KAN Data Mining, : Concepts, Models, Methods, and Algorithms | 006.312 LAR Data Analytics With Spark Using Python | 006.312 PER Exploratory data analysis using R / | 006.312 ROI Data Mining: A Tutorial-Based Primer | 006.312 TAN Introduction to data mining | 006.312 TAN Introduction to Data Mining |
"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
Includes bibliographical references and index.
"This textbook will introduce exploratory data analysis (EDA) and will cover the range of interesting features we can expect to find in data. The book will also explore the practical mechanics of using R to do EDA. Based on the author's course at the University of Connecticut, the book assumes no prior exposure to data analysis or programming, and is designed to be as non-mathematical as possible. Exercises are included throughout, and a Solutions Manual will be available. The author will also provide a supplemental R package through the Comprehensive R Archive Network that will include implementations of some of the features in this book, along with data examples, tools, and datasets"-- Provided by publisher.
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