Sure, I can help you with that. Here's a Python program that can analyze the sales data:

```python
def calculate_total_sales(data, date):
total_sales = 0
for sale in data:
if sale['date'] == date:
total_sales += sale['price'] * sale['count']
return total_sales

def find_best_selling_product(data):
best_product = None
max_revenue = 0
for sale in data:
revenue = sale['price'] * sale['count']
if revenue max_revenue:
max_revenue = revenue
best_product = sale['productname']
return best_product

# Read the number of products
N = int(input())

# Read the sales data
sales_data = []
for _ in range(N):
productname, price, count, date = input().split()
price = float(price)
count = int(count)
sale = {'productname': productname, 'price': price, 'count': count, 'date': date}
sales_data.append(sale)

# Read the date for which to fetch the products sold
target_date = input()

# Calculate total sales revenue for the target date
total_revenue = calculate_total_sales(sales_data, target_date)

# Find the best-selling product
best_product = find_best_selling_product(sales_data)

# Display the products sold on the target date
for sale in sales_data:
if sale['date'] == target_date:
print(sale['productname'])

# Display the details of the best-selling product
print(best_product)
```

You can run this program and provide the input in the specified format to get the desired output.

Question

Sure, I can help you with that. Here's a Python program that can analyze the sales data:

```python
def calculate_total_sales(data, date):
    total_sales = 0
    for sale in data:
        if sale['date'] == date:
            total_sales += sale['price'] * sale['count']
    return total_sales

def find_best_selling_product(data):
    best_product = None
    max_revenue = 0
    for sale in data:
        revenue = sale['price'] * sale['count']
        if revenue > max_revenue:
            max_revenue = revenue
            best_product = sale['productname']
    return best_product

# Read the number of products
N = int(input())

# Read the sales data
sales_data = []
for _ in range(N):
    productname, price, count, date = input().split()
    price = float(price)
    count = int(count)
    sale = {'productname': productname, 'price': price, 'count': count, 'date': date}
    sales_data.append(sale)

# Read the date for which to fetch the products sold
target_date = input()

# Calculate total sales revenue for the target date
total_revenue = calculate_total_sales(sales_data, target_date)

# Find the best-selling product
best_product = find_best_selling_product(sales_data)

# Display the products sold on the target date
for sale in sales_data:
    if sale['date'] == target_date:
        print(sale['productname'])

# Display the details of the best-selling product
print(best_product)
```

You can run this program and provide the input in the specified format to get the desired output.

Knowee AI · Accepted Answer