import pandas as pd
import numpy as np
from datetime import datetime, timedelta
date_rng = pd.date_range(start='1/1/2024', end='12/31/2024', freq='D')
np.random.seed(0)
sales = np.random.uniform(1000, 5000, size=(len(date_rng)))
cost = sales * np.random.uniform(0.5, 0.9, size=(len(date_rng)))
profit = sales - cost
customers = np.random.randint(50, 200, size=(len(date_rng)))
data = pd.DataFrame({
'Date': date_rng,
'Sales': sales,
'Cost': cost,
'Profit': profit,
'Customers': customers
})
file_path = 'C:\Lotus\AICG\sales_data.xlsx'
data.to_excel(file_path, index=False)
file_path