streamlit hurricane shopping items

app.py

 import pandas as pd
 import streamlit as st
 from faker import Faker
 import random
 
 # Set up the Faker object
 fake = Faker()
 
 # Create a list of hurricane names
 hurricane_names = [fake.city() + ' Hurricane' for _ in range(3)]
 
 # Create a list of items with emojis
 items = ['💧 Bottled Water', '🥫 Canned Food', '🔦 Flashlights', '🔋 Batteries', '🩹 First Aid Kit',
          '🔪 Utility Knife', '📻 Portable Radio', '🛠️  Tool Kit', '🧭 Compass', '🧯 Fire Extinguisher',
          '👖 Clothing', '🛏️  Sleeping Bag', '🚰 Water Purifier', '🧼 Soap', '🚽 Toilet Paper',
          '🧹 Broom', '🚪 Door Lock', '🔑 Keys', '🔨 Hammer', '🔩 Nails',
          '🧰 Power Drill', '🧹 Dustpan', '🚧 Road Cones', '🚫 Danger Tape', '🚑 First Aid Kit',
          '🧯 Fire Blanket', '🗺️  Maps', '🔮 Flashlight', '📱 Solar Charger', '🔆 Batteries',
          '🔌 Generator', '🔍 Binoculars', '🌬️  Fan', '🎒 Backpack', '🧹 Sweeper',
          '🧺 Laundry Bag', '🥾 Hiking Boots', '👕 T-Shirts', '👖 Jeans', '👟 Sneakers',
          '🧢 Hat', '🕶️  Sunglasses', '🧤 Gloves', '🧣 Scarf', '👩<200d>🦱 Hair Brush']
 
 # Create an empty dictionary to store the data
 data = {'Item': items}
 
 # Loop through the hurricane names and add a random number of items for each hurricane
 for hurricane in hurricane_names:
     num_items = [random.randint(10, 100) for _ in range(len(items))]
     data[hurricane] = num_items
 
 # Create a DataFrame from the data dictionary
 df = pd.DataFrame(data)
 df.set_index('Item', inplace=True)
 
 # Create a Streamlit chart
 st.line_chart(df)
 # Create a Streamlit chart
 st.bar_chart(df)
 
 
 # Create a DataFrame from the data dictionary
 df = pd.DataFrame(data)
 df.set_index('Item', inplace=True)
 
 # Calculate the cumulative sum of the item counts for each hurricane
 cumulative_data = df.cumsum()
 
 # Create an area chart of the cumulative data
 st.area_chart(cumulative_data)
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