Code Editor for app.py

import streamlit as st
import pandas as pd
import numpy as np

st.title('E-commerce Orders Visualizer')

# Sample order data
num_orders = 100
np.random.seed(42)
order_data = {
    'Order ID': np.arange(1, num_orders + 1),
    'Customer Name': [f'Customer {i}' for i in range(1, num_orders + 1)],
    'Product': np.random.choice(['Product A', 'Product B', 'Product C'], num_orders),
    'Quantity': np.random.randint(1, 5, num_orders),
    'Total Price': np.round(np.random.uniform(10.0, 100.0, num_orders), 2),
    'Order Date': pd.date_range(start='2023-01-01', periods=num_orders, freq='D')
}

orders_df = pd.DataFrame(order_data)

st.subheader('Orders Data')
st.dataframe(orders_df)

# Visualization
st.subheader('Total Revenue by Product')
revenue_by_product = orders_df.groupby('Product')['Total Price'].sum().reset_index()
st.bar_chart(revenue_by_product.set_index('Product'))