Update app.py

app.py

@@ -1050,11 +1050,10 @@ with col_3d:
 
 ####OBJECTIVE 4
 # ================= WORDCLOUD (HIGH QUALITY) ==================
-# ================= WORDCLOUD (HIGH QUALITY) ==================
-# ================= WORDCLOUD (HIGH QUALITY) ==================
 try:
     from wordcloud import WordCloud
     import matplotlib.pyplot as plt
+    import plotly.express as px
     WORDCLOUD_AVAILABLE = True
 except ImportError:
     WORDCLOUD_AVAILABLE = False
@@ -1064,60 +1063,71 @@ st.markdown("<h3 class='section-title'>OBJECTIVE 4 - What Unsafe Issues Appear M
 
 if WORDCLOUD_AVAILABLE:
 
+    # 🔥 Pie Chart: Semua data (tidak difilter)
+    df_all_kategori = df_local.copy()
+
+    # 🔥 WordCloud: Hanya data Non-Positive
     df_filtered_kategori = df_local[df_local['temuan_kategori'] != 'Positive'] \
         if 'temuan_kategori' in df_local.columns else df_local
 
-    if df_filtered_kategori.empty:
-        st.warning("No data available after filtering out 'Positive' category.")
-    else:
-
-        col_wc1 = st.columns(1)
-
-        # === FUNCTION: GENERATE HIGH QUALITY WORDCLOUD ===
-        def generate_wordcloud(text_data, col):
-
-            if text_data is None or text_data.empty:
-                col.warning("No data available for WordCloud.")
-                return
-
-            if text_data.isna().all():
-                col.warning("All data is NaN.")
-                return
-
-            # Gabungkan text
-            import re
-            text = ' '.join(text_data.dropna().astype(str))
-            text = re.sub(r'[^a-zA-Z\s]', ' ', text)
-
-            if not text.strip():
-                col.warning("No valid text remaining after cleaning.")
-                return
-
-            # === HIGH RESOLUTION WORDCLOUD ===
-            wordcloud = WordCloud(
-                width=1600,          # resolusi besar agar HD
-                height=800,
-                background_color='white',
-                colormap='viridis',
-                max_words=1000,
-                random_state=42
-            ).generate(text)
-
-            # === SMALL BUT SHARP OUTPUT ===
-            fig, ax = plt.subplots(figsize=(3, 2), dpi=200)
-            ax.imshow(wordcloud, interpolation='bilinear')
-            ax.axis('off')
-            plt.tight_layout()
+    # 2 Kolom
+    col1, col2 = st.columns(2)
 
-            col.pyplot(fig, use_container_width=True)
+    # === PIE CHART: Semua temuan_kategori ===
+    with col1:
+        if 'temuan_kategori' in df_all_kategori.columns:
+            # Hitung jumlah per kategori
+            category_counts = df_all_kategori['temuan_kategori'].value_counts()
+            
+            if not category_counts.empty:
+                # Buat pie chart
+                fig_pie = px.pie(
+                    names=category_counts.index,
+                    values=category_counts.values,
+                    title="Distribution of All Issue Categories",
+                    color_discrete_sequence=px.colors.sequential.Viridis
+                )
+                fig_pie.update_traces(textposition='inside', textinfo='percent+label')
+                fig_pie.update_layout(height=500)
+                st.plotly_chart(fig_pie, use_container_width=True)
+            else:
+                st.warning("No data available for pie chart.")
+        else:
+            st.warning("Column 'temuan_kategori' not available.")
 
-        # === CALL WORDCLOUD ===
-        with col_wc1[0]:
+    # === WORDCLOUD: Hanya Non-Positive (dari keyword_kategori) ===
+    with col2:
+        if df_filtered_kategori.empty:
+            st.warning("No data available after filtering out 'Positive' category.")
+        else:
             if 'keyword_kategori' in df_filtered_kategori.columns:
-                generate_wordcloud(df_filtered_kategori['keyword_kategori'], 
-                                   col_wc1[0])
+                # Gabungkan text
+                import re
+                text = ' '.join(df_filtered_kategori['keyword_kategori'].dropna().astype(str))
+                text = re.sub(r'[^a-zA-Z\s]', ' ', text)
+
+                if text.strip():
+                    # Buat WordCloud
+                    wordcloud = WordCloud(
+                        width=1600,          # resolusi besar agar HD
+                        height=800,
+                        background_color='white',
+                        colormap='viridis',
+                        max_words=1000,
+                        random_state=42
+                    ).generate(text)
+
+                    # Output kecil tapi tajam
+                    fig, ax = plt.subplots(figsize=(3, 2), dpi=200)
+                    ax.imshow(wordcloud, interpolation='bilinear')
+                    ax.axis('off')
+                    plt.tight_layout()
+
+                    st.pyplot(fig, use_container_width=True)
+                else:
+                    st.warning("No valid text remaining after cleaning.")
             else:
-                col_wc1[0].warning("Column 'keyword_kategori' not available.")
+                st.warning("Column 'keyword_kategori' not available.")
 
 else:
     st.info("WordCloud library not installed. Install `wordcloud` and `matplotlib` to enable this feature.")