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Exploratory Data Analysis (Quantitative Applications in the Social Sciences) (Paperback)

by Frederick Hartwig (Author), Brian E. Dearing (Author) "Exploratory data analysis is a stae of mind, a way of thinking about data analysis-and also a way of doing it..." (more)
Key Phrases: exploratory data analyst, nonlinear monotonic relationships, median trace, Index of Interparty Competition, United States, New York (more...)
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Product Description

An Introduction to the underlying principles, central concepts, and basic techniques for conducting and understanding exploratory data analysis - with numerous social science examples.

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Inside This Book (learn more)
First Sentence:
Exploratory data analysis is a stae of mind, a way of thinking about data analysis-and also a way of doing it. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
exploratory data analyst, nonlinear monotonic relationships, median trace, resistant statistics, numeric summaries, running medians, interparty competition, numeric distance, polynomial regression equation, nonmonotonic relationships, nonmonotonic functions, lower hinge, upper hinge, partial relationship, exploratory approach, numerical summaries, exploratory data analysis, multivariate relationships, residual plot
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Index of Interparty Competition, United States, New York, Bureau of the Census, South Vietnamese
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This book cites 53 books: