Data Analytics in Julia - For Social Scientists
  • Data Analytics in Julia
  • Chapter 1. Installation and Basics
  • Chapter 2. Loading Data in Julia
  • Chapter 3. Dataframe Transformation
  • Chapter 4. Pipeline and Tools
  • Chapter 5. Statisticcal Tests and Linear Regression
  • Chatpter 5 (cont.). Advanced Causal Inference in Julia
  • Chapter 6. Data Visualization in Julia
  • Chapter 7. Using R and Python in Julia
  • Chapter 9. Performance
  • Appendix. Plot and Notebooks
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Appendix. Plot and Notebooks

All notebooks for this book is opensource at: https://github.com/reycn/data-analytics-in-julia

Example:

PreviousChapter 9. Performance

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