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CRC Press R for Political Data Science: A Practical Guide - CRC Press

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Description

R for Political Data Science: A Practical Guide is a comprehensive handbook designed for political scientists seeking to master R programming for analysing political data. Written by experienced political scientists, this practical resource addresses real-world challenges encountered in political research and data analysis. The book comprises 16 chapters organised across three focused sections. The first section introduces R fundamentals for users new to the language or transitioning from alternative software platforms. The second section explores econometric modelling techniques including ordinary least squares regression, binary and survival analysis models, panel data methods, and causal inference approaches. The third section rounds out the guide with additional specialised applications. This Chapman and Hall/CRC publication bridges the gap between statistical theory and practical political research implementation, making R accessible and immediately applicable for political scientists at all experience levels.

Key Features

R for Political Data Science covers 16 chapters organised into three structured sections designed specifically for political scientists learning R programming.

The handbook includes comprehensive coverage of econometric models such as OLS regression, binary models, survival analysis, panel data techniques, and causal inference methods.

This Chapman and Hall/CRC guide was written by political scientists addressing genuine problems faced in political research and data analysis workflows.

R for Political Data Science provides practical guidance for users learning R or migrating from other statistical software platforms to R.

The book offers real-world applications and examples tailored to political science research, making complex data analysis concepts immediately applicable.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 November 2020
Listed Since
05 May 2020

Barcode

No barcode data available

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