• Forecasted for two years on the Retail Data in Australian Capital Territory with R and understand effect of COVID-19 on it. • Forecasting was performed by implementing classical decomposition, exponential smoothing and ARIMA models. • Seasonal Naïve was best model as it captured seasonality of data and subsequently a forecast for 2 years was generated with 95% confidence interval, highlighting future trend.
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