Create and populate a CSV file named "sales$\_$data.csv$",$ which contains information about salestransactions. The file should include the following columns: Date: The date of the transaction $($should be between $01-01-2023$ and $31-12-2023)$ Product: The name of the product sold. Units$\_$Sold: The number of units sold. Revenue: The revenue generated from the sale$\mathrm{.}2.$ Load the dataset "sales$\_$data.csv$"$ into a Pandas DataFrame named sales$\_$df$\mathrm{.}3.$ Create a Dash application with the following components:a$.$ A dropdown menu to select a product.b$.$ A line chart to visualise the trend of units sold over time for the selected product.c$.$ A bar chart to visualise the total revenue generated from sales for each product.d$.$ Display summary statistics $($mean$,$ median, min, max$)$ for the 'Revenue' column$\mathrm{.}4.$ Implement interactivity:e$.$ When a product is selected from the dropdown menu, update the line chart to display the trendof units sold over time for the selected product.f$.$ When a product is selected from the dropdown menu, update the bar chart to display the totalrevenue generated from sales for each product.g$.$ Display the summary statistics dynamically based on the selected product.