Causal Explorer

Shape:
Summary statistics:

              
Missing values:

              
Data balance:
PCA and Clusters:
Data table:

                
Dropped columns:

            
Numeric columns:

              
Nominal columns:

              
Ordinal columns:

              
Supervised Learning
Unsupervised Learning

          

Step 1: Check Assumptions:

Step 2: Check Model Graph

Step 3: Evaluate Model

(This might take a while depending on the number of sampling)

Step 1: Define Assumptions:

Assumptions:

            
Causal Graph:

Step 2: Identify and Estimate Effects:


            
Estimate (mean value):

            

Step 3: Evaluate Effects