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Select a dataset from the sidebar or upload a new one to start configuring preprocessing options.
Target Variable
The target column is excluded from scaling
Data Cleaning
Missing Values
Fill null/NaN values
📌 Categoricals always use mode (most frequent)
Transformation
Scaling
Normalize numeric values
One-Hot Encoding
Convert categorical to numeric
Include Columns
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Data Preview
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Class Distribution
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Classes
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Top Classes
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Target Balance
Class distribution balance check
Correlation Heatmap
Feature correlation matrix
Outlier Detection
Box plot of numeric features
Data Quality
Missing values per column
Dimensionality Reduction
PCA PCA SavedConfiguration
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Explained Variance
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Click “Run Analysis” to generate PCA plot