Update Fedora state: 2026-04-29 11:50

dot_config/private_Code/User/History/6b1c27e9/qMUb.py

@@ -0,0 +1,45 @@
+#!/usr/bin/env python3
+"""Generate new data and display sample showing upward trend"""
+import subprocess
+import pandas as pd
+
+# Run data generator
+result = subprocess.run(['python3', 'Data Gen.py'], capture_output=True, text=True)
+print(result.stdout)
+if result.stderr:
+    print("Errors:", result.stderr)
+
+# Load and display trend analysis
+df = pd.read_csv('organization_happiness_study_data.csv')
+df['Habits_Count'] = (
+    (df['Calendar_Adherence'] == 'Yes').astype(int) +
+    (df['Cleanliness_Adherence'] == 'Yes').astype(int) +
+    (df['Punctuality_Adherence'] == 'Yes').astype(int)
+)
+
+intervention = df[df['Group'] == 'Intervention']
+control = df[df['Group'] == 'Control']
+
+print("\n" + "="*70)
+print("UPWARD TREND ANALYSIS")
+print("="*70)
+
+print("\n[INTERVENTION GROUP] - Should show upward trend")
+early_int = intervention[intervention['Day'] <= 7]
+late_int = intervention[intervention['Day'] >= 24]
+print(f"Days 1-7:    Avg Happiness = {early_int['Happiness'].mean():.2f}")
+print(f"Days 24-30:  Avg Happiness = {late_int['Happiness'].mean():.2f}")
+print(f"GROWTH: +{late_int['Happiness'].mean() - early_int['Happiness'].mean():.2f} points\n")
+
+print("[CONTROL GROUP] - Should show flat/random pattern")
+early_ctl = control[control['Day'] <= 7]
+late_ctl = control[control['Day'] >= 24]
+print(f"Days 1-7:    Avg Happiness = {early_ctl['Happiness'].mean():.2f}")
+print(f"Days 24-30:  Avg Happiness = {late_ctl['Happiness'].mean():.2f}")
+print(f"CHANGE: {late_ctl['Happiness'].mean() - early_ctl['Happiness'].mean():+.2f} points\n")
+
+print("[HABIT CORRELATION] - More habits = Higher happiness")
+for habits in range(4):
+    subset = intervention[intervention['Habits_Count'] == habits]
+    if len(subset) > 0:
+        print(f"{habits} habits/day: Avg Happiness = {subset['Happiness'].mean():.2f} ({len(subset)} observations)")