Chapter1. Ranking and Binning |
1. 순위변수 생성 (Rank Cases) - Ranking : Rank, Fractional rank, Ntines - Scoring : Savage score, Normal Scores 2. 구간화 (Binning) - 시각적 구간화(Visual Binning) - 최적 구간화(Optimal Binning) |
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Chapter2. Scaling |
1. 대응일치분석(Correspondence Analysis) 2. 다중대응일치 분석(Multiple Correspondence Analysis, MCA) 3. 범주형 주성분 분석(Categorical Principal Components Analysis, CatPCA) 4. 비선형 정준 상관 분석(Nonlinear Canonical Correlation Analysis, OVERALS) |
1. Ranking and Binning 30분
2. Scaling 32분