Last Update
1. Cutting Edge Political Science
2. 2. Data Cleaning Sep. 13, 2021
How to visualize data
4. Scatter Plot
5. Line Graph Sep. 13, 2021
6. Mapping 1 (World, Japan) Sep. 13, 2021
7. Mapping 2 (Prefecture)
8. Mapping 3 (Lower House Election)
9. Descriptive Statistics Sep. 13, 2021
10. Inferential Statistics Sep. 13, 2021
11. ttest (1 group) Sep. 13, 2021
12. ttest (2 groups) Oct. 20, 2021
13. Correlation / Chi-squared test Nov. 30, 2021
Causal Inference
14. Selection Bias and Rubin's Causal Model
15. Selection Bias (Simulation)
16. RCT
17. Regression Model for Causal Inference
Prediction and Causal Inference (Linear Model)
18. Linear Regression 1 Nov. 8, 2021
19. Linear Regression 2 (Dummy variable) Oct. 20, 2021
20. Linear Regression 3 (Interaction term 1) Oct. 20, 2021
21. Linear Regression 4 (Interaction term 2) Oct. 20, 2021
22. Linear Regression 5 (Regression to the mean)
23. Linear Regression 6 (Simulation for Regression)
24. Linear Regression 7 (RCT)
25. Linear Regression 8 (Omitted Variable Bias)
26. Linear Regression 9 (Backdoor Standard and DAG)
27. Linear Regression 10 (RDD)
28. Linear Regression 11 (DID)
29. Linear Regression 12 (Propensity Score)
30. Linear Regression 13 (Panel Data)
Prediction and Causal Inference (Non-Linear Model)
31. Logistic Regression Analysis
32. Logistic Regression Analysis (interaction term 1)
33. Logistic Regression Analysis (interaction term 2)
34. OLS and Maximum Likelyhood
Related topics
35. How to install R and RStudio (Yuki Yanai)
36. R Programming 101
37. Statistical Modeling
38. Probability Theory 101
39. Visualizing Japan's Election Data: 1996-2017
40. Data Scraping
41. Connojoint Analysis