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Artifacts in EDA with Python, Pandas and Jupyter

Showing 12 of 12 artifacts

Name Type Produced by Required Consumers Actions
Target Variable (Y) Definition Document Choose candidate target variable(s) Y
Explore and Engineer Features
Required 2
Feature Table Document Engineer and derive features
Explore and Engineer Features
Required 3
Jupyter Storyboard Document Review the storyboard against conclusions
Storyboard the Notebook
Required 2
Model Validation Report Document Evaluate model quality
Assess Information Gain and Conclude
Required 1
Plotly Figure Set Document Build trellis/small-multiples and multi-view linking
Implement Plotly Visuals
Required 1
Clean Working DataFrame Document Reshape data for the framing questions
Organize and Clean Data
Required 1
Conclusions Summary Document Rank features by information gain and draw conclusions
Assess Information Gain and Conclude
Required 2
Correlation Table Document Compute correlation/covariance and significance between features and Y
Explore and Engineer Features
Required 1
Chart-Type Selection Table Document Design a multivariate display
Choose Chart per Analysis Type
Required 2
Final EDA Jupyter Notebook Document Review and export the final notebook/report
Implement Plotly Visuals
Required 0
Framing Brief Document Write the Framing Brief
Frame the Problem
Required 3
Chart Encoding Spec Document Check for spurious or missed patterns
Encode and Reduce Clutter
Required 2