000 | 01873nam a22003017a 4500 | ||
---|---|---|---|
003 | UAHC | ||
005 | 20250626123751.0 | ||
008 | 250626s2023 -us|||| |||| 00| 0 eng d | ||
020 | _a9781492097402 | ||
040 |
_aUAHC _cUAHC |
||
082 |
_a004 _bW637 |
||
100 |
_aWickham, Hadley _921728 |
||
245 | 1 | 0 |
_aR for data science : _bimport, tidy, transform, visualize, and model data _cHadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund. |
250 | _aSecond edition. | ||
260 |
_aSebastopol, [California] : _bO'Reilly, _c2023. |
||
300 | _a548 páginas. | ||
520 | _aUse R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way. | ||
650 | 0 |
_aProcesamiento electrónico de datos _921731 |
|
650 | 0 |
_aR (Lenguaje de programación para computadores) _921725 |
|
650 | 0 |
_aMinería de datos _xProgramas para computador _921732 |
|
650 | 0 |
_aVisualización de información _921733 |
|
650 | 0 |
_aBig data _912461 |
|
650 | 0 |
_aBases de datos _921734 |
|
700 |
_aÇetinkaya-Rundel, Mine _921729 _eautora |
||
700 |
_aGrolemund, Garrett _921730 _eautor |
||
900 | _a004 WIC | ||
942 |
_2ddc _cBK |
||
999 |
_c62715 _d62715 |