Introduction to R programming language / Mohsen Nady.

By:

Nady, Mohsen, author

Material type:

TextPublication details: Ontario, Canada : Arcler Press, c2022.Description: xiii, 432 pages : color illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781774692240 (e-book)

Subject(s):

LOC classification:

EBOP QA 276.45.R3 N33 2022

Contents:

Chapter 1 : Installing R and Rstudio Chapter 2 :Getting started with R and Rstudio Chapter 3 :Objects and files Chapter 4 : Vectors and lists Chapter 5 : Matrices and dataframes Chapter 6 : Factors and missing values Chapter 7 : Subsetting objects Chapter 8 : Dates and times Chapter 9 : Importing data Chapter 10 : Basic data wrangling with Tidyverse Chapter 11 : Data visualization using GGPLOT2

Summary: This book covers some introductory steps in using R programming language as a data science tool. The data science field has evolved so much recently with incredible quantities of generated data. To extract value from those data, one needs to be trained in the proper data science skills like statistical analysis, data cleaning, data visualization, and machine learning. R is now considered the centerpiece language for doing all these data science skills because it has many useful packages that not only can perform all the previous skills, but also, has additional packages that was developed by different scientists in diverse fields. These fields include, but are not limited to, business, marketing, microbiology, social science, geography, genomics, environmental science, etc. Furthermore, R is free software and can run on all major platforms: Windows, Mac Os, and UNIX/Linux.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	E-Books	Cavite State University - CCAT Campus		Electronic Resources	ER	EBOP QA 276.45.R3 N33 2022 (Browse shelf(Opens below))				1	Available			EBOP0000087

To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).

Includes bibliographical references and index.

Chapter 1 : Installing R and Rstudio
Chapter 2 :Getting started with R and Rstudio
Chapter 3 :Objects and files
Chapter 4 : Vectors and lists
Chapter 5 : Matrices and dataframes
Chapter 6 : Factors and missing values
Chapter 7 : Subsetting objects
Chapter 8 : Dates and times
Chapter 9 : Importing data
Chapter 10 : Basic data wrangling with Tidyverse
Chapter 11 : Data visualization using GGPLOT2

This book covers some introductory steps in using R programming language as a data science tool. The data science field has evolved so much recently with incredible quantities of generated data. To extract value from those data, one needs to be trained in the proper data science skills like statistical analysis, data cleaning, data visualization, and machine learning. R is now considered the centerpiece language for doing all these data science skills because it has many useful packages that not only can perform all the previous skills, but also, has additional packages that was developed by different scientists in diverse fields. These fields include, but are not limited to, business, marketing, microbiology, social science, geography, genomics, environmental science, etc. Furthermore, R is free software and can run on all major platforms: Windows, Mac Os, and UNIX/Linux.

EBOP00087 1

In English text.

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer