Update app.py

app.py

@@ -183,7 +183,59 @@ def display_data_explorer(df):
     filtered_df['company_url'] = filtered_df['company_url'].apply(make_clickable)
 
     st.write(filtered_df.to_html(escape=False, index=False), unsafe_allow_html=True)
+def display_about_page():
+    st.title("About Job Listings Dashboard")
 
+    st.markdown("""
+    ## What is this application?
+
+    The Job Listings Dashboard is a powerful tool designed to provide insights into the job market. It offers a comprehensive view of job postings, allowing users to explore trends, top companies, locations, and job titles.
+
+    ### Key Features:
+    - **Interactive Dashboard**: Visualize job market trends with dynamic charts and graphs.
+    - **Data Explorer**: Dive deep into individual job listings with advanced filtering options.
+    - **Real-time Data**: Fetch the latest job data from our Hugging Face dataset.
+
+    ## How to use this application
+
+    ### Dashboard
+    1. Navigate to the Dashboard using the sidebar.
+    2. View overall statistics such as total job postings, unique companies, and today's postings.
+    3. Explore interactive charts showing:
+       - Top companies hiring
+       - Job postings over time
+       - Top locations for job opportunities
+       - Most common job titles
+
+    ### Data Explorer
+    1. Switch to the Data Explorer using the sidebar.
+    2. Choose between viewing all data or applying filters.
+    3. Use the multi-select dropdowns to filter by:
+       - Companies
+       - Locations
+       - Job Types
+    4. Browse the filtered job listings table.
+    5. Click on job or company links to view more details on the original posting site.
+
+    ## Data Source
+    This application fetches data from a Hugging Face dataset. The data is regularly updated to provide the most current job market insights.
+
+    ## Feedback and Contributions
+    We welcome your feedback and contributions to improve this dashboard. Please feel free to reach out or submit pull requests to our GitHub repository.
+
+    ## Contact
+    For questions, feedback, or collaboration opportunities, feel free to reach out:
+
+    - LinkedIn: [Nihar Palem](https://www.linkedin.com/in/nihar-palem-1b955a183/)
+    """)
+
+    # Add a clickable LinkedIn button
+    linkedin_url = "https://www.linkedin.com/in/nihar-palem-1b955a183/"
+    st.markdown(f"""
+    <a href="{linkedin_url}" target="_blank">
+        <img src="https://content.linkedin.com/content/dam/me/business/en-us/amp/brand-site/v2/bg/LI-Logo.svg.original.svg" width="100">
+    </a>
+    """, unsafe_allow_html=True)
 def main():
     st.title("Job Listings Dashboard")
 
@@ -195,12 +247,14 @@ def main():
 
     # Sidebar for navigation
     st.sidebar.title("Navigation")
-    page = st.sidebar.radio("Go to", ["Dashboard", "Data Explorer"])
+    page = st.sidebar.radio("Go to", ["Dashboard", "Data Explorer","About"])
 
     if page == "Dashboard":
         display_dashboard(df)
     elif page == "Data Explorer":
         display_data_explorer(df)
+    elif page == "About":
+        display_about_page()
 
 if __name__ == "__main__":
     main()