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R for Data science : Import, tidy, transform, visualize and model data Hadley Wickham; Mine Cetinkaya-Rundel & Garrett Grolemund
Material type:
TextLanguage: English Publication details: Navi Mumbai Shroff c2023Edition: 2nd edDescription: xxiii, 550 P.BISBN: - 9789355429827
- 006.312 WIC(R)Ed2
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
REFERENCE COMPUTER SCIENCE
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St. Xavier's University, Kolkata Reference Section | Reference | R 006.312 WIC(R)Ed2 (Browse shelf(Opens below)) | 13226 | Not For Loan | UCS13226 | ||
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COMPUTER SCIENCE
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St. Xavier's University, Kolkata Lending Section | 006.312 WIC(R)Ed2 (Browse shelf(Opens below)) | 13227 | Checked out | 04/16/2026 | CS13227 |
Total holds: 0
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| R 006.312 SAL(DAT) Data science for business with R / | R 006.312 VAN(PYT)Ed2 Python data science handbook : Essentials tools for working with data | R 006.312 VAN(PYT)Ed2 Python data science handbook : Essentials tools for working with data | R 006.312 WIC(R)Ed2 R for Data science : Import, tidy, transform, visualize and model data | R 006.33 VRI(R)Ed2 R programming for dummies | R 006.35 ALA(HAN) Hands-on large language models : language understanding and generation | R 006.35 PAI(DES) Designing large language model applications : A holistic approach to LLMs |
Includes index
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