Data Wrangling with R
This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as...
| Main Author: | Boehmke, Ph.D., Bradley C. (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Series: | Use R!,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Big and Complex Data Analysis Methodologies and Applications /
Published: (2017) -
Functional Statistics and Related Fields
Published: (2017) -
The Data Science Design Manual
by: Skiena, Steven S.
Published: (2017) -
Working with the American Community Survey in R A Guide to Using the acs Package /
by: Glenn, Ezra Haber
Published: (2016) -
Advanced Statistical Methods in Data Science
Published: (2016)