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1. |
Record Nr. |
UNINA9910781271103321 |
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Titolo |
Risk rules [[electronic resource] ] : how local politics threaten the global economy / / Marvin Zonis ... [et al.] |
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Pubbl/distr/stampa |
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Chicago, : Agate B2, 2011 |
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ISBN |
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Descrizione fisica |
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1 online resource (385 p.) |
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Classificazione |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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International trade |
International economic relations |
International relations |
Globalization |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Rev. ed. of: The kimchi matters / by Marvin Zonis, Dan Lefkovitz, and Sam Wilkin. c2003. |
Includes index. |
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Nota di contenuto |
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Contents; Preface; Preface to The Kimchi Matters; Introduction; Chapter One: Corruption; Chapter Two: Ethnic Conflict; Chapter Three: Social Change; Chapter Four: The J-Curve; Chapter Five: Opposition; Chapter Six: Channels for Discontent; Chapter Seven: State Power; Chapter Eight: Quality of Leadership; Chapter Nine: Succession Threat; Chapter Ten: The Ruling Bargain; Chapter Eleven: The Instability Trap; Chapter Twelve: Entrenched Interests; Chapter Thirteen: Government Intervention; Chapter Fourteen: External Shocks; Chapter Fifteen: Institutions |
Conclusion: ""Eating Big Macs Doesn't Make it McChina""Notes; Index |
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Sommario/riassunto |
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A comprehensive update to a highly praised title that outlines a framework for understanding how local politics in countries around the world affect globalization. |
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2. |
Record Nr. |
UNINA9910830776103321 |
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Titolo |
Soil color / / editors, J. M. Bigham and E. J. Ciolkosz ; sponsored by Soil Science Society of America |
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Pubbl/distr/stampa |
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Madison, Wisconsin : , : Soil Science Society of America, , 1993 |
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ISBN |
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Descrizione fisica |
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1 online resource (xii, 159 pages) |
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Collana |
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SSSA Special Publication ; ; Number 31 |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9911009250603321 |
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Autore |
Firdose Tahera |
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Titolo |
Ultimate Pandas for Data Manipulation and Visualization : Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library (English Edition) |
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Pubbl/distr/stampa |
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Delhi : , : Orange Education PVT Ltd, , 2024 |
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©2024 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (190 pages) |
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Soggetti |
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Pandas |
Python (Computer program language) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover Page -- Title Page -- Copyright Page -- Dedication Page -- About the Author -- About the Technical Reviewers -- |
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Acknowledgements -- Preface -- Errata -- Table of Contents -- 1. Introduction to Pandas and Data Analysis -- Introduction -- Structure -- Overview of Pandas and Their Role in Data Analysis -- Pandas Popularity -- Advantages of Pandas over Traditional Data Analysis Methods -- Installation and Setup -- Installing Pandas on Windows -- Installing Pandas on MaCOS -- Installing Pandas on Linux -- IPython Notebooks and its Integration with Pandas -- Installing Jupyter Notebooks -- Understanding Pandas Objects: Series and DataFrame -- Series -- DataFrame -- Datatypes of Pandas -- Defining Datatypes -- Using the Datatypes of Pandas in Series and DataFrame -- Loading Data from Files and the Web for Pandas -- Loading Data from CSV Files Using pandas.read_csv() |
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Sommario/riassunto |
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Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures. Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis. Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights. |
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