Beginning data science in R4
data analysis, visualization, and modelling for the data scientist
Mailund, Thomas
creator
author.
text
cau
2017
2017
1st ed.
monographic
eng
xxvii, 352 pages : illustrations ; 26 cm
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. -- Provided by publisher.
Introduction to R programming -- Reproducible analysis -- Data manipulation -- Visualizing data -- Working with large datasets -- Supervised learning -- Unsupervised learning -- More R programming -- Advanced R programming -- Object oriented programming -- Building an R package -- Testing and package checking -- Version control -- Profiling and optimizing.
Thomas Mailund.
Includes index.
R (Computer program language)
Quantitative research
Computer software
Development
COMPUTERS / Databases
COMPUTERS / Programming Languages
Computer software
Development
Quantitative research
R (Computer program language)
001.42 MAI
9781484290934
170221
20230906161007.0