This project, "Which Car Brand Should You Buy? A Data-Driven Analysis," examines car sales and public sentiment in Norway to identify top-performing brands. Using sales data and sentiment analysis, it highlights key trends and provides insights into consumer preferences. The findings are presented in a clear and professional HTML format, offering valuable takeaways for buyers and industry professionals.

This document provides a comprehensive sentiment analysis comparing two major fast-food brands: Wendy's and McDonald's. By leveraging text data collected from Google News RSS feeds and applying sentiment analysis techniques using the NRC lexicon, this analysis aims to uncover insights into public perceptions and emotional responses associated with each brand.

This document presents an analysis of stock price trends and volatility for major technology companies (Apple, Microsoft, Amazon, Google, and Meta). Using Yahoo Finance data, the report identifies key performance patterns and insights to aid investment decisions.

This document is a tutorial for setting up and using the OMDb API in R. It explains how to obtain an API key, install necessary packages, and make API requests to retrieve movie data like titles and directors. It also includes code for saving data to a CSV and managing rate limits during multiple requests.