Time Series Analysis Using ARIMA Model For Forecasting In R (Practical) Time series refers to a set of observations on a particular variable recorded in time sequence. This time sequence or space can be hourly, daily, weekly, monthly, quarterly or yearly. Why time series analysis 1. Its emphasis is to support decision making 2. To fit a mathematical model and then proceed to forecast the future. The tool that we will be using for the practice is the RStudio you can click on the link below and download the RStudio setup and install it; https://rstudio.com/products/rstudio/download/ The dataset that will be used is the daily-minimum-temperatures-in-me.csv you can download it from Kaggle. Below is the link to download the daily minimum temperatures in me dataset; https://www.kaggle.com/paulbrabban/daily-minimum-temperatures-in-melbourne The libraries that will be used for the model in time se...
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