| 000 | 01013cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88851350 | ||
| 003 | FRCYB88851350 | ||
| 005 | 20250107223735.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250107s2014 fr | o|||||0|0|||eng d | ||
| 020 | _a9781784390860 | ||
| 035 | _aFRCYB88851350 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aToomey, Dan | |
| 245 | 0 | 1 |
_aR for Data Science _c['Toomey, Dan'] |
| 264 | 1 |
_bPackt Publishing _c2014 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
||
| 650 | 0 | _a | |
| 700 | 0 | _aToomey, Dan | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88851350 _qtext/html _a |
| 520 | _aIf you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics. | ||
| 999 |
_c68117 _d68117 |
||