| Judul | Beginning data science in R 4 : Data analysis, visualization, and modelling for the data scientist / Thomas Mailund |
| Pengarang | Mailund, Thomas |
| EDISI | 2 nd Ed. |
| Penerbitan | New York : Apress, 2022 |
| Deskripsi Fisik | xxvii, 511 p. :ill. ;25 cm. |
| ISBN | 978-1-4842-8154-3 |
| Subjek | DATA SCIENCE |
| Abstrak | Contents 1. Chapter 1: Introduction to R programming 2. Chapter 2: Reproducible analysis 3. Chapter 3: Data manipulation 4. Chapter 4: Visualizing Data 5. Chapter 5. Working with large data sets 6. Chapter 6: Supervised learning 7. Chapter 7: Unsupervised learning 8. Chapter 8: Project 1: Hitting the bottle 9. Chapter 9: Deeper into R programming 10. Chapter 10: Working with vectors and lists |
| Catatan | Index |
| Bahasa | Inggris |
| Bentuk Karya | Bukan fiksi atau tidak didefinisikan |
| Target Pembaca | Tidak diketahui / tidak ditentukan |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 196022212 | 519.502 855 36 Mai b | Baca di tempat | Perpustakaan Pusat - KK KKC Koleksi Khusus |
Tersedia |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000149631 | ||
| 005 | 20221128053211 | ||
| 007 | ta | ||
| 008 | 221128###########################0#eng## | ||
| 020 | # | # | $a 978-1-4842-8154-3 |
| 035 | # | # | $a 0010-1022000228 |
| 082 | # | # | $a 519.502 855 36 |
| 084 | # | # | $a 519.502 855 36 Mai b |
| 100 | 0 | # | $a Mailund, Thomas |
| 245 | 1 | # | $a Beginning data science in R 4 : $b Data analysis, visualization, and modelling for the data scientist /$c Thomas Mailund |
| 250 | # | # | $a 2 nd Ed. |
| 260 | # | # | $a New York :$b Apress,$c 2022 |
| 300 | # | # | $a xxvii, 511 p. : $b ill. ; $c 25 cm. |
| 504 | # | # | $a Index |
| 520 | # | # | $a Contents 1. Chapter 1: Introduction to R programming 2. Chapter 2: Reproducible analysis 3. Chapter 3: Data manipulation 4. Chapter 4: Visualizing Data 5. Chapter 5. Working with large data sets 6. Chapter 6: Supervised learning 7. Chapter 7: Unsupervised learning 8. Chapter 8: Project 1: Hitting the bottle 9. Chapter 9: Deeper into R programming 10. Chapter 10: Working with vectors and lists |
| 650 | # | # | $a DATA SCIENCE |
| 990 | # | # | $a 196022212 |
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