Weather Data Sourcing and Visualization

This mini project demonstrates how to fetch real-time weather data using the OpenWeatherMap API, clean it using Python, and visualize it using line and bar charts.

Features

• Fetch current weather for selected cities
• Handle rate limits and errors gracefully
• Secure API key management with .env
• Generate line plot (temperature) and bar chart (humidity)

Tools Used

• Python
• requests
• pandas
• matplotlib
• python-dotenv
• OpenWeatherMap API

Setup Instructions

1. Clone the repo:

   git clone https://github.com/arun-data-analyst/business-data-sourcing.git
   cd business-data-sourcing
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Create a .env file:

   OPENWEATHERMAP_API_KEY=your_actual_key_here
   

4. Run the notebook or Python script.

Output Samples

• lineplot.png: City vs Temperature
• barchart.png: City vs Humidity

🚫 No API key is shared in this repo. Please use your own OpenWeatherMap key.