R for political data science: (Record no. 4518)

MARC details
000 -LEADER
fixed length control field 03262nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230118111954.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230118b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367818838
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 320.02855133
Item number URD
245 ## - TITLE STATEMENT
Title R for political data science:
Remainder of title a practical guide
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boco Raton
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xix, 439 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 59.99
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Contents<br/>I Introduction to R<br/>1. Basic R<br/>Andrés Cruz<br/><br/>2. Data Management<br/>Andrés Cruz<br/><br/>3. Data Visualization<br/>Soledad Araya<br/><br/>4. Data Loading<br/>Soledad Araya and Andrés Cruz<br/><br/>II Models<br/>5. Linear Models<br/>Inés Fynn and Lihuen Nocetto<br/><br/>6. Case Selection Based on Regressions<br/>Inés Fynn and Lihuen Nocetto<br/><br/>7. Panel Data<br/>Francisco Urdinez<br/><br/>8. Logistic Models<br/>Francisco Urdinez<br/><br/>9. Survival Models<br/>Francisco Urdinez<br/><br/>10. Causal Inference<br/>Andrew Heiss<br/><br/>III Applications<br/>11. Advanced Political Data Management<br/>Andrés Cruz and Francisco Urdinez<br/><br/>12. Web Mining<br/>Gonzalo Barría<br/><br/>13. Quantitaive Text Analysis<br/>Sebastián Huneeus<br/><br/>14. Networks<br/>Andrés Cruz<br/><br/>15. Principal Component Analysis<br/>Caterina Labrín and Francisco Urdinez<br/><br/>16. Maps and Spatial Data<br/>Andrea Escobar and Gabriel Ortiz
520 ## - SUMMARY, ETC.
Summary, etc. R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis.<br/><br/>Key features:<br/><br/>Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R<br/>Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R<br/>Provides a step-by-step guide that you can replicate using your own data<br/>Includes exercises in every chapter for course use or self-study<br/>Focuses on practical-based approaches to statistical inference rather than mathematical formulae<br/>Supplemented by an R package, including all data<br/>As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Political statistics--Computer programs
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Urdinez, Francisco
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Cruz, Andres
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
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
    Dewey Decimal Classification     Operations Management & Quantitative Techniques 575/22-23 30-12-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 01/18/2023 T V Enterprises 3948.29   320.02855133 URD 004222 01/18/2023 1 6005.00 01/18/2023 Book

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