Data Analytics in Julia - For Social Scientists

Table of Contents
Chapter 1. Installation and Basics
Chapter 2. Loading Data in Julia
Chapter 3. Dataframe Transformation
Chapter 4. Pipeline and Tools
Chapter 5. Inference and Models
Chatpter 5 (cont.). Advanced Causal Inference in Julia
Chapter 6. Data Visualization in Julia
Chapter 7. Using R and Python in Julia
Appendix. Plot and Notebooks

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Appendix. Plot and Notebooks

PreviousChapter 7. Using R and Python in Julia

Last updated 7 days ago

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

Example: