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Final ProjectAdvanced•5-6 hours

Weather Dashboard & Data Analyzer

Comprehensive weather data collection and analysis application with API integration.

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📋 Project Overview

Create a sophisticated weather dashboard that fetches real-time weather data from an API, stores historical records, performs statistical analysis, and generates visualizations. This project demonstrates working with external APIs, data analysis, and object-oriented programming.

🎯 Learning Objectives

  • Integrate with weather API (OpenWeatherMap)
  • Design class-based architecture
  • Store and manage historical weather data
  • Perform statistical analysis on data
  • Generate text-based visualizations
  • Handle API errors and rate limiting
  • Create comprehensive reporting system

✨ Features to Implement

CoreMust-Have Features

  • ✓Fetch current weather from API
  • ✓Display weather for multiple cities
  • ✓Store weather records in JSON
  • ✓View historical data
  • ✓Calculate temperature averages

EnhancedRecommended Features

  • ◉Track temperature trends over time
  • ◉Compare weather between cities
  • ◉Find extreme weather events
  • ◉Generate daily/weekly reports
  • ◉Create simple text-based charts

BonusChallenge Features

  • ⭐Weather forecast (next 5 days)
  • ⭐Weather alerts for extreme conditions
  • ⭐Export data to CSV
  • ⭐ASCII art weather visualizations
  • ⭐Unit conversion (C/F/K)
  • ⭐Data archiving system

🗂️ Data Structure

Example of how to structure your data:

{
    "city": "New York",
    "country": "US",
    "timestamp": "2024-12-12 10:30:00",
    "temperature": 15.5,
    "feels_like": 13.2,
    "humidity": 65,
    "pressure": 1013,
    "description": "partly cloudy",
    "wind_speed": 5.2
}

🛠️ Implementation Guide

1

Set Up API Integration

45 min

Register for API key and create function to fetch weather data.

💡 Hints
  • Sign up at openweathermap.org for free API key
  • Install requests library: pip install requests
  • Create fetch_weather() function
  • Parse JSON response from API
2

Design Class Structure

60 min

Create WeatherData, WeatherAPI, WeatherDatabase, and WeatherAnalyzer classes.

💡 Hints
  • WeatherData: represents single weather record
  • WeatherAPI: handles API calls
  • WeatherDatabase: manages storage
  • WeatherAnalyzer: performs calculations
3

Implement Data Storage

45 min

Create database class to save/load weather records.

💡 Hints
  • Store records by city and date
  • Use JSON for data persistence
  • Implement filtering by city/date
  • Handle file operations safely
4

Add Analysis Functions

60 min

Implement statistical analysis features.

💡 Hints
  • Calculate averages, min, max temperatures
  • Detect temperature trends
  • Compare multiple cities
  • Find extreme weather events
5

Create Dashboard UI

45 min

Build menu system and display functions.

💡 Hints
  • Display current weather for all cities
  • Show temperature trends
  • Create simple ASCII charts
  • Format output nicely

✅ Testing Checklist

Make sure all these work before considering your project complete:

☐API call fetches weather successfully
☐Multiple cities can be tracked
☐Weather data saves to file
☐Historical data loads correctly
☐Averages calculate accurately
☐Trends display properly
☐City comparison works
☐Reports generate correctly

📊 Project Info

Difficulty

Advanced

Estimated Time

5-6 hours

Prerequisites

Modules 1-6

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💡 Tips for Success

  • ✓Start with core features first
  • ✓Test each function as you build
  • ✓Use meaningful variable names
  • ✓Handle errors gracefully
  • ✓Add comments for complex logic
  • ✓Take breaks when stuck