{"repo":"reycn/data-analytics-in-julia","free":true,"listed":false,"github":"https://github.com/reycn/data-analytics-in-julia","clone":"git clone https://github.com/reycn/data-analytics-in-julia.git","description":"Notebooks for data analysis in social science using Julia, replicating frequent analytical steps in Python & R.","language":"Jupyter Notebook","stars":14,"topics":["data","data-analysis","data-science","julia","data-visualization"],"license":null,"category":"analytics","readme_excerpt":"Data Analytics in Julia - 🔗 Read the book online - By Rongxin Ouyang , PhD student in Computational Communication, NUS (Generated by GPT-4o) Scope This short book provides a practical guide for data analysis in social science using Julia. It replicates common analytical steps in the field. Because of its speed. Outline - ✅ Chapter 1. Installation - ✅ Why do we need Julia - ✅ How to install Julia - ✅ How to install Julia as a Jupyter kernal for notebooks - ✅ The basics of operations, data structures, packages, methods, and define functions - ✅ Chapter 2. Data Loading and Selection - ✅ Load a dataframe from a local file, an online link, and a common datasets; or create it from scratch - ✅ Select by rows, columns, and conditions. - ✅ Chapter 3. Transformation and calculation - ✅ Split and combine - ✅ Grouping - ✅ Sorting - ✅ Transforming between long / wide tables - ✅ Find / fill / drop missing values - ✅ Chapter 4. Pipeline and Useful Packages - ✅ Data pipeline - ✅ Manipulate strings - ✅ Network - ✅ Chapter 5.1 Models and Tests 1. ✅ Common parametric tests (t-tests and ANOVA) 2. ✅ Regression (multi-variate regression and fixed effects models) 3. ✅ Path Analysis 1. ✅ Mediation 2. ✅ Moderation 3. ✅ Conditional Path Analysis - ✅ Chapter 5.2 Models and Tests (continued) 1. 🚧 / ✅ Counterfactual Framework 1. 🚧 / ✅ Instrumental Variables 2. 🚧 / ✅ Regression Discontinuity Design 3. 🚧 / ✅ Difference-in-Difference 4. 🚧 / ✅ Synthetic Control 5. 🚧 / ✅ Synthetic Difference-in-Differe","default_branch":null,"files":null,"tree":[],"storefront":"/r/reycn","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/reycn/data-analytics-in-julia/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}