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👷 Graphier

Currently Developing!

This module aims to acquire feature relathionship while EDA with graph representation.

Sample Usage

You can check sample notebook

How to Read

  • Each node (dots) refers to each feature.
  • larger node size means that feature has more statistically meaningful relationship.
  • Each edge (lines) indicates statistically meaningful (p < 0.05) relationships.
  • Each of the red and blue colors is positive and negative relationships.
  • higher saturation (more bold color) means stronger relationships

Current Function

  • Correlation-based Graph (without direction)

Requirements

  • pandas
  • numpy
  • networkx
  • matplotlib

Future Updates

  • Directed Graph with Regression
  • Bipartite Graph for Group Difference

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