Weather Monitoring Dashboard

Upload Your Weather Data

Upload a CSV file

Choose a CSV file

User Interaction

Hello , let's analyze some weather data!

Instructions

Please upload a CSV file with weather data (temperature, humidity, wind speed).

Code Example

import streamlit as st
import pandas as pd
import numpy as np
from PIL import Image

# Title of the App
st.title("Weather Monitoring Dashboard")

# Header for data upload
st.header("Upload Your Weather Data")

# Subheader for file uploading
st.subheader("Upload a CSV file")

# File Uploader
uploaded_file = st.file_uploader("Choose a CSV file", type=["csv"])

# Sidebar Text Input for User Name
user_name = st.sidebar.text_input("Enter your name:")

# Display Welcome Message
st.text(f"Hello {user_name}, let's analyze some weather data!")

# Markdown Instruction
st.markdown("### Instructions: Please upload a CSV file with weather data (temperature, humidity, wind speed).")

# If file is uploaded
if uploaded_file is not None:
    data = pd.read_csv(uploaded_file)

    # Sidebar Filters
    st.sidebar.header("Filter Data")

    # Selectbox for column filter
    column_filter = st.sidebar.selectbox("Choose a column to filter", options=data.columns)

    # Slider for numeric filtering
    filter_value = st.sidebar.slider(f"Filter {column_filter}", min_value=int(data[column_filter].min()), max_value=int(data[column_filter].max()))

    # Filter the DataFrame
    filtered_data = data[data[column_filter] >= filter_value]

    # Display the filtered data
    st.subheader(f"Filtered {column_filter} Data")
    st.dataframe(filtered_data)

    # Static Table
    st.table(filtered_data.head())

    # Line Chart for Temperature
    st.line_chart(data["Temperature"])

    # Bar Chart for Humidity
    st.bar_chart(data["Humidity"])

    # Area Chart for Wind Speed
    st.area_chart(data["Wind Speed"])

    # Button to show summary
    if st.button("Show Summary"):
        st.write(filtered_data.describe())

    # Displaying Code Example
    st.code('''
    # Filter data based on column and value
    filtered_data = data[data[column_filter] >= filter_value]
    ''')

    # Image Display (Placeholder)
    image = Image.open("weather_icon.png")
    st.image(image, caption="Weather Icon", use_column_width=True)

    # Audio for weather alert (dummy link)
    st.audio("https://www.soundhelix.com/examples/mp3/SoundHelix-Song-3.mp3")

else:
    st.warning("Please upload a CSV file to proceed.")

# Footer
st.text("Thank you for using the Weather Monitoring Dashboard.")
    

Script Overview

1. User Interaction: Users can upload weather data in CSV format, filter it dynamically, and view the results through charts and tables.
2. Data Visualization: Multiple visualizations like line charts, bar charts, and area charts help display temperature, humidity, and wind speed trends.
3. Enhanced Media: The app uses an image to represent weather conditions and plays an audio file for potential weather alerts.