kpi_analysis / docs /README_original.md
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KPI Score Analysis

This project analyzes correlations between Lenovo KPI data (IPM scores) and axiia assessment scores.

Files and Directories

Core Analysis Scripts

  • analyze_correlations.py - Original script for correlation analysis
  • analyze_correlations_v2.py - Main script for calculating Pearson and Spearman correlations between KPI and score data with plotting support
  • kpi_correlation_app.py - Gradio web UI for interactive correlation analysis and visualization

Utility Scripts

  • csv_utils.py - Helper functions for Excel to CSV conversion and data processing
  • step0_fill_kpi_ratings.py - Script to fill empty KPI values with random data for testing
  • launch_gradio_app.sh - Shell script to launch the Gradio app with instructions

Test Scripts

  • test_step3.py - Tests correlation analysis with partial data and missing values
  • test_plotting.py - Tests the plotting functionality of the analysis script
  • test_excel_conversion.py - Tests Excel to CSV conversion functionality
  • test_gradio_app.py - Test script to verify Gradio app setup and provide usage instructions
  • test_correlation_analysis.sh - Shell script for running correlation tests
  • example_usage.sh - Example commands for running the analysis

Data Files

  • test_kpi.csv - Sample KPI data file for testing
  • lenovo-scores-0603.csv - Axiia assessment scores data (used by Gradio app)

Output Files

  • score_corr.yaml - Basic correlation analysis results
  • score_corr_v2.yaml - Enhanced correlation analysis results with data quality info
  • score_corr_ipm.yaml - Correlation results with IPM percentage formatting
  • score_corr_with_plots.yaml - Correlation results generated with plotting
  • test_flags.yaml - Test results with command line flags
  • test_step3_output.yaml - Output from step 3 testing

Plots

  • correlation_plots.png - Combined plot showing all correlations
  • correlation_AC.png - Scatter plot of problem_score vs FY23/24 IPM
  • correlation_AD.png - Scatter plot of problem_score vs FY24/25 IPM
  • correlation_BC.png - Scatter plot of ability_score vs FY23/24 IPM
  • correlation_BD.png - Scatter plot of ability_score vs FY24/25 IPM

Documentation

  • kpi_socre_plan.md - Step-by-step plan for the analysis project
  • plotting_readme.md - Documentation for the plotting functionality
  • gradio_app_usage.md - Usage guide for the Gradio web UI application
  • step3_test_results.md - Results from step 3 testing

Usage

Basic correlation analysis:

python analyze_correlations_v2.py -k data/lenovo_kpi.csv -s data/lenovo-scores-0603.csv -o score_corr.yaml

With plotting:

python analyze_correlations_v2.py -k data/lenovo_kpi.csv -s data/lenovo-scores-0603.csv -o score_corr.yaml -p

Gradio web UI:

python kpi_correlation_app.py
# or
./launch_gradio_app.sh