Essentials of R for data analytics (Record no. 4999)
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| fixed length control field | 05387nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230322095414.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230322b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789390421923 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | RAT |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ratnoo, Saroj Dahiya |
| 245 ## - TITLE STATEMENT | |
| Title | Essentials of R for data analytics |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Wiley India Pvt. Ltd. |
| Place of publication, distribution, etc. | New Delhi |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiv, 317 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 469.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Table of content<br/>Chapter 1 Introduction to HR Analytics<br/><br/>1.1 Introduction<br/><br/>1.2 About the R Environment<br/><br/>1.3 Starting R and RStudio<br/><br/>1.4 Entering and Executing Commands<br/><br/>1.5 Setting Variables<br/><br/>1.6 Knowing about Objects<br/><br/>1.7 Structure of Objects<br/><br/>1.8 Managing Objects in R’s Workspace<br/><br/>1.9 Creating Sequences<br/><br/>1.10 Operator Precedence<br/><br/>1.11 Setting Working Directory<br/><br/>1.12 Making and Executing Code from Script Files<br/><br/>1.13 Packages in R<br/><br/> <br/><br/>Chapter 2 Getting Help in R<br/><br/>2.1 Introduction<br/><br/>2.2 Top-Level Help<br/><br/>2.3 Help On Functions<br/><br/>2.4 Searching Documentation Through Keywords<br/><br/>2.5 Getting Help from Web<br/><br/>2.6 Searching for Relevant Packages<br/><br/>2.7 Getting Help from R Mailing Lists<br/><br/> <br/><br/>Chapter 3 Vectors and Factors in R<br/><br/>3.1 Introduction<br/><br/>3.2 Vectors<br/><br/>3.3 Factors<br/><br/> <br/><br/>Chapter 4 Matrices in R<br/><br/>4.1 Introduction<br/><br/>4.2 Arrays<br/><br/>4.3 Creating Matrices<br/><br/>4.4 Naming the Dimensions of a Matrix<br/><br/>4.5 Accessing Elements of Matrices<br/><br/>4.6 Arithmetic Operations on Matrices<br/><br/>4.7 Concatenating Matrices<br/><br/>4.8 Replicating Matrices<br/><br/>4.9 Other Useful Operations on Matrices<br/><br/> <br/><br/>Chapter 5 Lists and Data Frames in R<br/><br/>5.1 Introduction<br/><br/>5.2 Lists in R<br/><br/>5.3 Data Frames in R<br/><br/> <br/><br/>Chapter 6 Strings and Dates in R<br/><br/>6.1 Introduction<br/><br/>6.2 Handling Strings<br/><br/>6.3 Handling Date and Time<br/><br/> <br/><br/>Chapter 7 Input Output in R<br/><br/>7.1 Introduction<br/><br/>7.2 Reading Data from Console<br/><br/>7.3 Reading Data from Files<br/><br/>7.4 Displaying Data to Screen<br/><br/>7.5 Saving Objects to Files<br/><br/>7.6 Writing Data to Files<br/><br/> <br/><br/>Chapter 8 Conditional Statements and Loops in R<br/><br/>8.1 Introduction<br/><br/>8.2 Control Structures for Conditional Execution<br/><br/>8.3 Looping Structures in R<br/><br/> <br/><br/>Chapter 9 Writing Functions in R<br/><br/>9.1 Introduction<br/><br/>9.2 Functions in R<br/><br/>9.3 Defining a Function<br/><br/>9.4 Anonymous Functions<br/><br/>9.5 Scope of objects<br/><br/>9.6 Return Value of a Function<br/><br/>9.7 Named and Default Arguments<br/><br/>9.8 Passing Arguments to a Function<br/><br/>9.9 The … Arguments<br/><br/>9.10 Modifying a Data Frame Using a Function<br/><br/>9.11 Defining New Binary Operators<br/><br/> <br/><br/>Chapter 10 An Introduction to Graphics in R<br/><br/>10.1 Introduction<br/><br/>10.2 Pressure Dataset<br/><br/>10.3 Iris Dataset<br/><br/>10.4 My First Plot<br/><br/>10.5 Adding Elements<br/><br/>10.6 Controlling the Type of Scatter Plot<br/><br/>10.7 Controlling the Types of Lines and Points<br/><br/>10.8 Adding Grids<br/><br/>10.9 Customizing Axes<br/><br/>10.10 Scatter Plot with Groups in Data<br/><br/>10.11 Adding Legend<br/><br/>10.12 Adding a Regression Line<br/><br/>10.13 Creating Separate Scatter Plot for Each Factor Level<br/><br/>10.14 Customizing Margins<br/><br/>10.15 Adding Text<br/><br/>10.16 Saving Your Plot<br/><br/>10.17 Working with Multiple Graphics Devices<br/><br/>10.18 Plotting Scatter Plot of all Variables in a Dataset<br/><br/>10.19 Combining Multiple Plots in a Graphics Window<br/><br/>10.20 Graphics Parameters<br/><br/>10.21 A Customized Colourful Plot<br/><br/> <br/><br/>Chapter 11 Making Graphs and Charts in R<br/><br/>11.1 Introduction<br/><br/>11.2 Frequency Distribution of Categorical Data: Making Bar Charts<br/><br/>11.3 Frequency Distributions of Continuous Data: Making Histograms<br/><br/>11.4 Five-Number Summary: Making Box Plots<br/><br/>11.5 Visualizing Relationships in Continuous Data: Scatter Plot and Line Charts<br/><br/>11.6 Plotting Functions<br/><br/>11.7 Confirming Data Distribution: Making Q–Q Plots<br/><br/>11.8 Other Plots and Charts<br/><br/>11.9 Contour Plots<br/><br/> <br/><br/>Chapter 12 Graphics using ggplot2<br/><br/>12.1 Introduction<br/><br/>12.2 Scatter Plots<br/><br/>12.3 Geometric Objects in ggplot2: Creating Different Plots<br/><br/>12.4 Overall Appearance of a Plot<br/><br/>12.5 Other Resources and References<br/><br/> <br/><br/>Chapter 13 Data Transformations in R<br/><br/>13.1 Introduction<br/><br/>13.2 Datasets<br/><br/>13.3 Transformation Functions in “dplyr”<br/><br/>13.4 Data Transformation in Action on iris Dataset<br/><br/>13.5 Answering Questions on flights Dataset<br/><br/> <br/><br/>Chapter 14 Predictive Analytics: Classification in R<br/><br/>14.1 Introduction<br/><br/>14.2 Classification<br/><br/>14.3 Some Popular Classification Models<br/><br/>14.4 Implementing Classification in R<br/><br/> <br/><br/>Chapter 15 Predictive Analytics: Regression in R<br/><br/>15.1 Introduction<br/><br/>15.2 Simple Linear Regression Model<br/><br/>15.3 Determination of β0 and β1<br/><br/>15.4 Multiple Linear Regression<br/><br/>15.5 Predictive Modelling Using Regression<br/><br/>15.6 Simple Linear Regression Predictive Modelling in R<br/><br/>15.7 Modelling with Multiple Linear Regression in R<br/><br/>15.8 Regression Modelling with Higher Order Ploynomial Terms<br/><br/>15.9 Regression Modelling with Interaction Term |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | With widespread and exponential growth of data, people with data science background are in great demand. Data analytics, a subdomain of data science, is meant to turn data into insight and actionable knowledge. Data analytics mainly deals with exploring, visualizing, transforming and modelling data for making predictions. Learning R is an essential step towards becoming a data analyst. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data analytics |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ratnoo, Himmat Singh |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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| Dewey Decimal Classification | IT & Decisions Sciences | TB3162 | 16-02-2023 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 03/22/2023 | Technical Bureau India Pvt. Ltd. | 328.30 | 005.133 RAT | 004859 | 03/22/2023 | 1 | 469.00 | 03/22/2023 | Book |