COVID-19 Death Time Series Analysis (Isfahan Data)

This repository contains a time series analysis of COVID-19 death data using R.

The data was collected via the IMNA News Agency (Municipality News Agency), which published official local COVID-19 statistics daily.

The project focuses on trend modeling, statistical diagnostics, variance stabilization, and forecasting using ARIMA models.

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📁 Repository Files

• Covid_Death.r → Main R script for analysis
• Isfahan_Data.csv → Raw dataset (cases and deaths)
• Report.pdf → Full statistical report
• README.md → Project documentation

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📊 Dataset

The dataset contains daily COVID-19 statistics:

• Time → Date of observation
• Covid-19 → Number of confirmed cases
• Death → Number of deaths

This analysis focuses on the Death variable.

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🎯 Objectives

• Analyze the trend of COVID-19 deaths over time
• Fit regression and time series models
• Check statistical assumptions
• Apply variance-stabilizing transformations
• Forecast future values using ARIMA

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