Weather Forecasting - Statistical Analysis & Prediction

📍 Location

📊 Project Overview

I developed this system to analyze temperature data using Mean, Median, and Mode statistical methods, combined with custom prediction algorithms forecasting future temperatures.

📈

Mean

Average temperature level

📊

Median

Typical temperature value

🎯

Mode

Most common temperature

🌡️ Historical Temperature Data

Date	Temperature (°C)

📐 Statistical Analysis

📈

Mean (Average)

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°C

📊

Median

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°C

🎯

Mode

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°C

📉 Temperature Trend & Predictions

🔍 Trend Analysis

🔮 Temperature Predictions

I developed custom prediction algorithms combining Linear Regression, Moving Average, Seasonal Decomposition, and Ensemble methods to forecast future temperatures.

📈 Linear Regression

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📊 Moving Average

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🎯 Ensemble Method

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✅ Conclusions & Evaluation

📊 Statistical Summary

I used mean, median, and mode to summarize temperature data from multiple perspectives, providing comprehensive insights into temperature patterns.

📈 Trend Observations

The analysis reveals clear seasonal patterns with temperature increases toward summer and decreases toward winter, demonstrating predictable cyclical behavior.

⚠️ Prediction Limitations

My predictions are based on statistical trend analysis. Real weather forecasting requires complex meteorological models considering atmospheric pressure, humidity, wind patterns, and other factors.

🎓 Technical Implementation

I built this project with Node.js/Express backend, WeatherAPI integration, and custom JavaScript algorithms implementing linear regression, moving averages, and ensemble methods.