U.S. Cities Weather Analysis 2025

End-to-end weather data analysis project. Pulls real 2025 daily weather data from the Open-Meteo API for 5 major U.S. cities, engineers features, and extracts quantitative insights — covering seasonal trends, city comparisons, extreme events, heatwaves, and precipitation patterns.

Figure 1: Heatmap showing avg. temperatures in each city in a year | Figure 2: Line plot shows the timeline of precipitation throughout the months.

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Cities Covered

City	State	Climate
New York	NY	Humid continental
Los Angeles	CA	Mediterranean
Chicago	IL	Humid continental
Houston	TX	Humid subtropical
Phoenix	AZ	Hot desert

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Project Structure

weather-analysis/
│
├── weather-analysis.ipynb  # Main notebook (fetch -> clean -> EDA -> analysis)
├── fetcher.py              # Open-Meteo API module
├── requirements.txt
├── .gitignore
│
├── fetched data/           # Raw API output (.xlsx)
├── clean output/           # Cleaned dataset (.xlsx)
└── plots/                  # Auto-saved visualizations (.png)

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Pipeline

Open-Meteo API
      |
      v
  fetcher.py  -->  raw DataFrame
      |
      v
  Data Cleaning
  - Rename columns
  - Fix datetime dtype
      |
      v
  Feature Engineering
  - avg_temp = (temp_max + temp_min) / 2
  - temp_range = temp_max - temp_min
  - month (extracted from date)
  - season (mapped from month)
      |
      v
  EDA + Analysis
  - Distributions, trends, outliers
  - City comparisons, heatmaps
  - Extreme events, heatwaves
  - Seasonal pattern analysis

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Key Findings

• Phoenix peaks at ~38 degC in summer — hottest city by a wide margin
• Chicago has the highest temperature volatility (std ~10.5 degC) — most unpredictable weather
• Los Angeles is the most stable city year-round — lowest temperature standard deviation
• July/August are the harshest months when combining heat and precipitation
• Houston records the most high-precipitation days (>20mm) among all cities
• Chicago has the sharpest seasonal swing — nearly 30 degC between summer and winter averages

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Visualizations

Chart	What it shows
Min/Max Scatter	Correlation between daily lows and highs
City Boxplot	Full-year temperature spread per city
Monthly Catplot Grid	Month-by-month distributions per city
Temperature Timeline	Monthly avg temp trends for all cities
Precipitation Timeline	Monthly avg rainfall trends for all cities
Heatmap	All cities x all months at a glance
Volatility Barplot	Which city's weather changes the most
Precipitation Barplot	Average daily rainfall by city

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Setup

# Clone the repo
git clone https://github.com/horridhaider/hr-analysis.git
cd hr-analysis

# Install dependencies
pip install -r requirements.txt

# Run the notebook
jupyter notebook openweather.ipynb

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Data Source

Open-Meteo — Free weather API, no API key required. Data period: January 1, 2025 – December 31, 2025 Variables fetched: temperature_2m_max, temperature_2m_min, precipitation_sum

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Author

Haider Mirza — Data Analyst & Python Developer

• GitHub: @horridhaider
• Fiverr: haidar_mirza