update

pages/2_Evaluation.py

@@ -55,11 +55,7 @@ def app():
                     fig_construction = create_sector_plot(df, df['Occupation'][0])
                     st.plotly_chart(fig_construction)
 
-                    # Additional plots
-                    st.subheader("Additional Plots")
 
-                    # Histogram of Scores
-                    st.write("Histogram of Scores")
                     hist_fig = px.histogram(df.melt(id_vars=['Role'],
                                                     value_vars=['Privilege_Avg_Score', 'Protect_Avg_Score',
                                                                 'Neutral_Avg_Score']),
@@ -67,36 +63,31 @@ def app():
                                             title='Distribution of Scores')
                     st.plotly_chart(hist_fig)
 
-                    # Box Plot of Scores
-                    st.write("Box Plot of Scores")
                     box_fig = px.box(df.melt(id_vars=['Role'], value_vars=['Privilege_Avg_Score', 'Protect_Avg_Score',
                                                                            'Neutral_Avg_Score']),
                                      x='variable', y='value', color='variable', title='Spread of Scores')
                     st.plotly_chart(box_fig)
 
-                    # Scatter Plot with Trend Line
-                    st.write("Scatter Plot with Trend Line")
+
                     scatter_fig = px.scatter_matrix(df, dimensions=['Privilege_Avg_Score', 'Protect_Avg_Score',
                                                                     'Neutral_Avg_Score'],
                                                     title='Scatter Plot with Trend Line')
                     st.plotly_chart(scatter_fig)
 
-                    # Heatmap of Correlations
-                    st.write("Heatmap of Correlations")
+
                     corr_fig = px.imshow(df[['Privilege_Avg_Score', 'Protect_Avg_Score', 'Neutral_Avg_Score']].corr(),
                                          title='Correlation Heatmap')
                     st.plotly_chart(corr_fig)
 
-                    # Additional rank plots
-                    st.write("Histogram of Ranks")
+
                     hist_rank_fig = px.histogram(
-                        df.melt(id_vars=['Role'], value_vars=['Rank_Privilege', 'Rank_Protection', 'Rank_Neutral']),
+                        df.melt(id_vars=['Role'], value_vars=['Privilege_Rank', 'Protection_Rank', 'Neutral_Rank']),
                         x='value', color='variable', facet_col='variable', title='Distribution of Ranks')
                     st.plotly_chart(hist_rank_fig)
 
-                    st.write("Box Plot of Ranks")
+
                     box_rank_fig = px.box(
-                        df.melt(id_vars=['Role'], value_vars=['Rank_Privilege', 'Rank_Protection', 'Rank_Neutral']),
+                        df.melt(id_vars=['Role'], value_vars=['Privilege_Rank', 'Protection_Rank', 'Neutral_Rank']),
                         x='variable', y='value', color='variable', title='Spread of Ranks')
                     st.plotly_chart(box_rank_fig)