Beginning Data Science in R Data Analysis, Visualization, and Modelling for the Data Scientist /
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Data Science...
| Main Author: | Mailund, Thomas (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berkeley, CA :
Apress : Imprint: Apress,
2017.
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Pro Hadoop Data Analytics Designing and Building Big Data Systems using the Hadoop Ecosystem /
by: Koitzsch, Kerry
Published: (2017) -
Business Analytics Using R - A Practical Approach
by: Hodeghatta, Umesh R., et al.
Published: (2017) -
Beginning SQL Server R Services Analytics for Data Scientists /
by: Beard, Bradley
Published: (2016) -
Text Analytics with Python A Practical Real-World Approach to Gaining Actionable Insights from your Data /
by: Sarkar, Dipanjan
Published: (2016) -
Beginning SQL Queries From Novice to Professional /
by: Churcher, Clare
Published: (2016)