Integrated Data Analysis - Under Development

Integrated Data Analysis Research Suite

Complete workflow: Data Entry → Descriptive → Bivariate → Regression (Linear/Logistic) → Advanced

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Phase 1: The Foundation

Data Cleaning

Phase 2: Descriptive Analysis

Select Variable:

Phase 3: Bivariate Analysis

Analysis Mode: Comparing Groups (Hypothesis Testing) Correlation Analysis Categorical vs Categorical (Chi-Square)

Grouping/X Var:

Outcome/Y Var:

Phase 4: Multivariate Analysis

Technique: Regression Analysis (Linear & Logistic) Dimensionality Reduction (PCA/EFA) Cluster Analysis (K-Means)

Regression Type: Multiple Linear Regression (Continuous Y) Multiple Logistic Regression (Binary Y - 0/1)

Dependent Variable (Y):

Independent Variables (X):

Select Variables to Reduce:

Phase 5: Structural & Temporal Modeling

Advanced Method: Structural Equation Modeling (SEM Diagram) Time-Based Analysis (Forecast) Meta-Analysis (Forest Plot)

Select Time Series Variable:

Enter simplified data for Meta-Analysis demo (Study Name, Effect Size, Low CI, High CI):

Study A, 0.5, 0.2, 0.8 Study B, 0.6, 0.3, 0.9 Study C, 0.4, 0.1, 0.7