Data Analytics in Julia - For Social Scientists

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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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For the complete documentation index, see llms.txt. This page is also available as Markdown.

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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