A data-driven approach to identify the regions with the most popular businesses

This research paper represents a persuasive data-driven strategy for identifying regions with the highest business popularity. This study investigates the complex dynamics of business success by analyzing comprehensive review counts, star ratings, sentiment scores, and overall popularity scores across multiple states. Utilizing robust OLS regression techniques, the analysis reveals the significance of factors such as many reviews, exceptional star ratings, and positive sentiment in determining the popularity of a business. In addition, using an inclusive spatial autocorrelation analysis with Moran’s I coefficient, the study reveals an intriguing reality: geographical proximity plays a limited role, with no significant spatial clustering or dispersion observed between states. The findings illuminate the diverse landscape of business metrics across states, highlighting the diversity of business activity and customer engagement. This research encourages further investigation into the factors influencing business popularity, empowering businesses to chart their unique path to success in a data-driven world.