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app.py

@@ -85,7 +85,8 @@ def plot_and_analyze_categorical(dataframe, category_col, score_col='average_sco
         group1 = dataframe[dataframe[category_col] == dataframe[category_col].unique()[0]][score_col]
         group2 = dataframe[dataframe[category_col] == dataframe[category_col].unique()[1]][score_col]
         t_stat, p_val = stats.ttest_ind(group1, group2)
-        st.write(f"Independent t-test between **{dataframe[category_col].unique()[0]}** and **{dataframe[category_col].unique()[1]}** for {score_col.replace("_", " ")}:")
+        # Corrected line with single quotes for replace arguments
+        st.write(f"Independent t-test between **{dataframe[category_col].unique()[0]}** and **{dataframe[category_col].unique()[1]}** for {score_col.replace('_', ' ')}:")
         st.write(f"  t-statistic = {t_stat:.3f}, p-value = {p_val:.3f}")
         if p_val < 0.05:
             st.success("  **Conclusion: Statistically significant difference between groups (p < 0.05).**")