Beginning data science in R : data analysis, visualization, and modelling for the data scientist
(Book)
Author
Published
[Berkeley, California] : Apress, 2017.
Status
Westover - Adult Nonfiction
005.133 R MAILU
1 available
005.133 R MAILU
1 available
Copies
| Location | Call Number | Status |
|---|---|---|
| Westover - Adult Nonfiction | 005.133 R MAILU | Available |
Description
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More Details
Published
[Berkeley, California] : Apress, 2017.
Format
Book
Physical Desc
xxvii, 352 pages : illustrations ; 26 cm.
Language
English
Notes
General Note
Includes index.
Description
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.
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Citations
APA Citation, 7th Edition (style guide)
Mailund, T. (2017). Beginning data science in R: data analysis, visualization, and modelling for the data scientist . Apress.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Mailund, Thomas. 2017. Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist. Apress.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Mailund, Thomas. Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist Apress, 2017.
MLA Citation, 9th Edition (style guide)Mailund, Thomas. Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist Apress, 2017.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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