Data Insight Foundations

Part I: Working with Data.- Chapter 1. Data Manipulation.- Chapter 2: Tidy Data.- Chapter 3: Relational Data.- Chapter 4: Data Validation.- Chapter 5: Imputation.- Part II: Reproducile Research.- Chapter 6: Reproducible Research.- Chapter 7: Reproducible Environment.- Chapter 8: Introduction to Command Line.- Chapter 9: Version Control with Git and Github.- Chapter 10: Style and Lint your Code.- Chapter 11: Modular Code.- Part III: Lit Review and Writing.- Chapter 12: Literature Review.- Chapter 13: Write.- Chapter 14: Layout and References.- Chapter 15: Collaboration and Templating.- Part IV: Collecting the Data.- Chapter 16: Total Survey Error (TSE).- Chapter 17: Document.- Chapter 18: APIs.- Part V: Presenting the Data.- Chapter 19: Data Visualization Fundamentals.- Chapter 20: Data Visualization.- Chapter 21: A Graph for the Job.- Chapter 22: Color Data.- Chapter 23: Make Tables Part VI: Back Matter.- Epilogue.

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• Recuperação da informação
• Algoritmos e estruturas de dados
• Bases de Dados
• Armazenagem de Dados
• Matemática e sistemas do negócio
• Teoria da informação

Data Analytics;Data Processing;Data and Information Visualization;Survey Design;Business Analytics;Business Intelligence;Reproducible Research;Data-driven Science, Modeling and Theory Building