The Looppanel article provides an in-depth look at how numerical data can be analyzed to improve UX research and design decisions. It explains that quantitative data consists of measurable values such as task completion times, satisfaction scores, and click counts, which differ from qualitative data that captures opinions and experiences.The article walks through the entire process of quantitative data analysis, starting with data collection through surveys, usability tests, and analytics tools. It emphasizes the importance of cleaning data to remove inaccuracies and ensure consistency before moving into statistical analysis to identify patterns, trends, and relationships. Finally, it highlights the role of data visualization in effectively communicating findings through charts, graphs, and dashboards to support better decision-making.