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Data Science for Public Policy

Overview of attention for book
Cover of 'Data Science for Public Policy'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction
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    Chapter 2 The Case for Programming
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    Chapter 3 Elements of Programming
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    Chapter 4 Transforming Data
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    Chapter 5 Record Linkage
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    Chapter 6 Exploratory Data Analysis
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    Chapter 7 Regression Analysis
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    Chapter 8 Framing Classification
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    Chapter 9 Three Quantitative Perspectives
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    Chapter 10 Prediction
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    Chapter 11 Cluster Analysis
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    Chapter 12 Spatial Data
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    Chapter 13 Natural Language
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    Chapter 14 The Ethics of Data Science
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    Chapter 15 Developing Data Products
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    Chapter 16 Building Data Teams
Attention for Chapter 2: The Case for Programming
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