Update app.py

app.py

@@ -148,6 +148,41 @@ def create_time_series(df, time_unit='day'):
         )
     
     return fig
+def display_dashboard(df):
+    top_companies, top_locations, top_job_titles, df_by_date = prepare_dashboard_data(df)
+    
+    today = datetime.now().date()
+    jobs_today = df[df['date_posted'].dt.date == today].shape[0]
+    
+    col1, col2 = st.columns(2)
+
+    with col1:
+        st.subheader("Job Postings Overview")
+        st.metric("Total Job Postings", len(df))
+        st.metric("Unique Companies", df['company'].nunique())
+        st.metric("Job Postings Today", jobs_today)
+
+        min_date = df['date_posted'].min().date()
+        max_date = df['date_posted'].max().date()
+        st.write(f"Job postings from {min_date} to {max_date}")
+
+    with col2:
+        fig = create_chart(top_companies, top_companies.index, top_companies.values, "Top 10 Companies", ['#4e79a7'])
+        st.plotly_chart(fig, use_container_width=True)
+
+    # Job Postings Over Time Chart
+    fig_time_series = create_time_series(df)
+    st.plotly_chart(fig_time_series, use_container_width=True)
+
+    col3, col4 = st.columns(2)
+
+    with col3:
+        fig = create_chart(top_locations, top_locations.index, top_locations.values, "Top 10 Locations", ['#f28e2b'])
+        st.plotly_chart(fig, use_container_width=True)
+
+    with col4:
+        fig = create_chart(top_job_titles, top_job_titles.index, top_job_titles.values, "Top 20 Job Titles", ['#59a14f'])
+        st.plotly_chart(fig, use_container_width=True)
 def display_about_page():
     st.markdown("""
     ## What is this application?