Introduction to r-programming language / (Record no. 5457)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03016nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230112084831.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230112b ph ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781774690390 |
| Qualifying information | hbk. |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | PCUS |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9.D343 |
| Item number | N13 2022 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nady, Mohsen |
| Relator term | Author |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to r-programming language / |
| Statement of responsibility, etc. | by Mohsen Nady |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Canada : |
| Name of publisher, distributor, etc. | Arcler Press, |
| Date of publication, distribution, etc. | c2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | ix, 432 p. : |
| Other physical details | ill. ; |
| Dimensions | 24 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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 Chapter 12 Functions. |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | 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. The first two chapters involve installing and using R and RStudio. RStudio is an IDE (integrated development environment) that makes R easier to use and is more similar to SPSS or Stata. Chapters 38 covers the different R objects and how to manipulate them including the very popular one, dataframes. Chapter 9 is about importing different files into your R working session like text or excel files. Chapters 10 and 11 are dealing with different tidy verse packages that can do interesting summaries of different data frames including different types of data visualizations. In the last chapter, it introduces how functions are created in R along with some control structures and useful functions. In all these chapters, many examples along with different codes and outputs are given to help your understanding of this powerful programming language. I hope this book will be great addition to your future data analysis projects. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | 1. R (computer program language). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | 2. Data mining. |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not For Loan | College | Philippine Christian University Manila | Reserve | 08/11/2022 | QA76.9.D343 N13 2022 | 52951 | 01/12/2023 | Books |