Sentiment analysis on Lord of the Rings based off of https://www.tidytextmining.com/sentiment.html

Functional models for Implementation in non-technology detailed IAMs

This study focuses on forecasting the Wholesale Price Index (WPI) with an ARIMA model in R. It begins with exploratory data analysis, which includes WPI time-series visualizations. The ARIMA model is then applied to the WPI time series data to forecast future price fluctuations. Diagnostic plots are used to assess the model's adequacy, and projected values are created for the following time periods. These estimates give vital insights for organisations, allowing firms to anticipate and adjust to possible wholesale pricing changes, which improves strategic decision-making and planning.