Question 8: CSV|Chart

You manage a bookstore and want to analyze weekly sales for five categories: Fiction, Non-fiction, Comics, Magazines, and Textbooks. Input the weekly sales for each category, display the data in a table, and create a bar chart to show which category sold the most.

1. Set up the Streamlit app:

   • Import streamlit, pandas, and plotly.express.
   • Set the app title as “Bookstore Weekly Sales Analysis.”

2. Input sales data:

   • Use st.number_input to enter sales for Fiction, Non-fiction, Comics, Magazines, and Textbooks.

3. Display data:

   • Store the category names and sales in a pandas DataFrame.
   • Use st.table to display the data.

4. Create a bar chart:

   • Use Plotly Express to visualize the sales data.
   • Show the chart using st.plotly_chart.

5. Run the app:

   • Test the app locally using streamlit run app.py.