ction id="uc53fb3d7-84f1-5c3c-aeb4-2f99259452e8">
Table of Contents
1 Cover
2 Foreword
5 Preface
7 PART I: Introduction 1 The Big Picture with Kondratiev and Kardashev Notes 2 The Scientific Method and Data Note 3 Conventions Notes
8 PART II: Starting with R and Elements of Statistics 4 The Basics of R 4.1 Getting Started with R 4.2 Variables 4.3 Data Types 4.4 Operators 4.5 Flow Control Statements 4.6 Functions 4.7 Packages 4.8 Selected Data Interfaces Notes 5 Lexical Scoping and Environments 5.1 Environments in R 5.2 Lexical Scoping in R Note 6 The Implementation of OO 6.1 Base Types 6.2 S3 Objects 6.3 S4 Objects 6.4 The Reference Class, refclass, RC or R5 Model 6.5 Conclusions about the OO Implementation Notes 7 Tidy R with the Tidyverse 7.1 The Philosophy of the Tidyverse 7.2 Packages in the Tidyverse 7.3 Working with the Tidyverse Notes 8 Elements of Descriptive Statistics 8.1 Measures of Central Tendency 8.2 Measures of Variation or Spread 8.3 Measures of Covariation 8.4 Distributions 8.5 Creating an Overview of Data Characteristics Notes 9 Visualisation Methods 9.1 Scatterplots 9.2 Line Graphs 9.3 Pie Charts 9.4 Bar Charts 9.5 Boxplots 9.6 Violin Plots 9.7 Histograms 9.8 Plotting Functions 9.9 Maps and Contour Plots 9.10 Heat-maps 9.11 Text Mining 9.12 Colours in R Notes 10 Time Series Analysis 10.1 Time Series in R 10.2 Forecasting Note 11 Further Reading
9 PART III: Data Import 12 A Short History of Modern Database Systems Notes 13 RDBMS Notes 14 SQL 14.1 Designing the Database 14.2 Building the Database Structure 14.3 Adding Data to the Database 14.4 Querying the Database 14.5 Modifying the Database Structure 14.6 Selected Features of SQL Notes
