7 Data Analysis Techniques: A Practical Guide

This post details seven common data analysis techniques: regression, Monte Carlo simulation, factor analysis, cohort analysis, cluster analysis, time series analysis, and sentiment analysis. It explains what each technique does, when to use it, and how to apply it. The post emphasizes that while AI agents can execute analyses, the user's understanding of these techniques is crucial for framing the right questions and directing the analysis effectively. It highlights how Hex enables users to perform these analyses end-to-end within a single workspace, bridging the gap between raw data and actionable insights.