Explore Google's guide to Exploratory Data Analysis through a practical demonstration using personal productivity data. Learn essential techniques for data cleaning, importing, and analyzing various data types, including handling missing values and categorical variables. Discover how to create insightful visualizations such as violin plots, histograms, and heatmaps. Dive into textual and date analysis, apply the Pareto Principle, and understand correlation matrices. Gain valuable skills in Python-based data analysis to enhance your understanding of working habits and improve productivity.