Update app.py

app.py

@@ -339,7 +339,7 @@ with st.container():
     # RIGHT — LOGO
     with col3:
         try:
-            st.image("pln.png", width=80)  # Sesuaikan width sesuai kebutuhan
+            st.image("pln.png", width=120)  # Sesuaikan width sesuai kebutuhan
         except:
             st.write("")  # Jika logo tidak ditemukan, kosongkan
 
@@ -358,6 +358,12 @@ import plotly.graph_objects as go
 import numpy as np
 import pandas as pd
 
+# =================== OBJECTIVE 1 - Company Reporting Activity (Polar Bar Chart) ===================
+import streamlit as st
+import plotly.graph_objects as go
+import numpy as np
+import pandas as pd
+
 # =================== OBJECTIVE 1 - Company Reporting Activity (Polar Bar Chart) ===================
 st.markdown(
     """
@@ -446,19 +452,16 @@ if 'temuan_kode_distrik' in df_local.columns:
     ]
     pln_color = "#FFD700"  # Kuning PLN
 
-    def assign_colors_and_create_legend(df):
+    def assign_colors(df):
         colors = []
-        names = []
         blue_idx = 0
         for company in df['nama_perusahaan']:
             if 'PLN' in str(company).upper():
                 colors.append(pln_color)
-                names.append(company)
             else:
                 colors.append(pastel_blues[blue_idx % len(pastel_blues)])
-                names.append(company)
                 blue_idx += 1
-        return colors, names
+        return colors
 
     # Fungsi untuk membuat polar bar chart
     def create_polar_bar_chart(df, area_name):
@@ -469,7 +472,7 @@ if 'temuan_kode_distrik' in df_local.columns:
         df = df.sort_values('avg_monthly_ratio', ascending=True)
         companies = df['nama_perusahaan'].tolist()
         ratios = df['avg_monthly_ratio'].tolist()
-        colors, legend_names = assign_colors_and_create_legend(df)
+        colors = assign_colors(df)
         
         # Hitung total temuan untuk menghitung sudut (proporsi)
         total_findings = df_local[df_local['Area_Type'] == area_name].groupby('nama_perusahaan').size()
@@ -489,7 +492,7 @@ if 'temuan_kode_distrik' in df_local.columns:
         
         fig = go.Figure()
         
-        # Tambahkan satu trace untuk setiap perusahaan agar muncul di legend
+        # 🔥 Tambahkan satu trace untuk setiap perusahaan agar muncul di legend
         for i, (comp, ratio, color, angle) in enumerate(zip(companies, ratios, colors, angles)):
             fig.add_trace(go.Barpolar(
                 r=[ratio],
@@ -511,15 +514,17 @@ if 'temuan_kode_distrik' in df_local.columns:
                 bgcolor="white",
                 radialaxis=dict(
                     visible=True,
-                    tickfont=dict(size=9),
-                    gridcolor='white',
-                    title=dict(text='Avg Finding/Person', font=dict(size=10))
+                    tickfont=dict(size=9, color="white"),  # 🔥 Warna angka radial jadi putih
+                    gridcolor='lightgray',
+                    title=dict(text='Avg Finding/Person', font=dict(size=10, color="white"))  # 🔥 Warna judul radial
                 ),
                 angularaxis=dict(
                     visible=True,
                     direction='clockwise',
-                    tickfont=dict(size=9, color="white"),
-                    showline=False
+                    tickfont=dict(size=9, color="white"),  # 🔥 Warna angka derajat jadi putih
+                    showline=False,
+                    linecolor="white",  # 🔥 Warna garis derajat jadi putih
+                    gridcolor="rgba(255,255,255,0.2)"  # 🔥 Warna grid derajat jadi transparan putih
                 ),
             ),
             showlegend=True,  # 🔥 Aktifkan legend
@@ -1060,6 +1065,7 @@ with col_3d:
 ####OBJECTIVE 4
 # ================= WORDCLOUD (HIGH QUALITY) ==================
 # ================= WORDCLOUD (HIGH QUALITY) ==================
+# ================= WORDCLOUD (HIGH QUALITY) ==================
 try:
     from wordcloud import WordCloud
     import matplotlib.pyplot as plt
@@ -1067,7 +1073,7 @@ try:
 except ImportError:
     WORDCLOUD_AVAILABLE = False
 
-st.markdown("<h3 class='section-title'>4. Global Text Insights (Word Clouds)</h3>", 
+st.markdown("<h3 class='section-title'>4. Most Frequent Unsafe Cases</h3>", 
             unsafe_allow_html=True)
 
 if WORDCLOUD_AVAILABLE:
@@ -1103,8 +1109,8 @@ if WORDCLOUD_AVAILABLE:
 
             # === HIGH RESOLUTION WORDCLOUD ===
             wordcloud = WordCloud(
-                width=500,          # resolusi besar agar HD
-                height=250,
+                width=1600,          # resolusi besar agar HD
+                height=800,
                 background_color='white',
                 colormap='viridis',
                 max_words=1000,
@@ -1112,7 +1118,7 @@ if WORDCLOUD_AVAILABLE:
             ).generate(text)
 
             # === SMALL BUT SHARP OUTPUT ===
-            fig, ax = plt.subplots(figsize=(4, 2), dpi=200)
+            fig, ax = plt.subplots(figsize=(3, 2), dpi=200)
             ax.imshow(wordcloud, interpolation='bilinear')
             ax.axis('off')
             plt.tight_layout()