Create Visualization Code

Visualization Code

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+# 📋 Show Filtered Data Table
+st.subheader("📋 Pole Data Table")
+st.dataframe(filtered_df)
+
+# 🔋 Bar Chart - Power Generation
+st.subheader("🔋 Power Generation per Pole")
+fig_bar = px.bar(
+    filtered_df,
+    x='Name',
+    y='Power_Generation__c',
+    color='Status__c',
+    labels={'Power_Generation__c': 'Power Generated (kWh)'},
+    title="Power Output by Pole",
+    height=400
+)
+st.plotly_chart(fig_bar, use_container_width=True)
+
+# ⚠️ Pie Chart - Fault Status Distribution
+st.subheader("⚠️ Fault Status Distribution")
+fault_data = filtered_df['Fault_Status__c'].value_counts().reset_index()
+fault_data.columns = ['Fault Status', 'Count']
+fig_pie = px.pie(
+    fault_data,
+    names='Fault Status',
+    values='Count',
+    title="Fault Breakdown",
+    height=400
+)
+st.plotly_chart(fig_pie, use_container_width=True)
+
+# 🕒 Line Chart - Pole Installations Over Time
+st.subheader("🕒 Installation Trend")
+install_trend = filtered_df.groupby(filtered_df['Installed_Date__c'].dt.to_period('M')).size()
+install_trend.index = install_trend.index.to_timestamp()
+fig_line_install = px.line(
+    x=install_trend.index,
+    y=install_trend.values,
+    labels={"x": "Month", "y": "Poles Installed"},
+    title="Pole Installations Over Time",
+    markers=True
+)
+st.plotly_chart(fig_line_install, use_container_width=True)
+
+# 🛠️ Line Chart - Maintenance Activity
+st.subheader("🛠️ Maintenance Trend")
+maintenance_trend = filtered_df.groupby(filtered_df['Last_Maintenance_Date__c'].dt.to_period('M')).size()
+maintenance_trend.index = maintenance_trend.index.to_timestamp()
+fig_line_maint = px.line(
+    x=maintenance_trend.index,
+    y=maintenance_trend.values,
+    labels={"x": "Month", "y": "Maintenance Events"},
+    title="Maintenance Activities Over Time",
+    markers=True
+)
+st.plotly_chart(fig_line_maint, use_container_width=True)