Episode 15 - Exploratory Data Analysis

In Episode 15 of '100 Days of Data,' Jonas and Amy dive into the world of Exploratory Data Analysis (EDA), the essential first step in any data project. With a mix of real-world examples and practical tools, they explore how EDA helps uncover hidden patterns, anomalies, and trends in messy datasets. From visualizing engine failure spikes in the automotive industry to identifying unusual spending patterns in finance, the hosts demonstrate the power of combining statistics with storytelling. They also discuss tools ranging from Excel and Python’s Pandas to no-code platforms like Tableau, making EDA accessible to both analysts and business users. Whether it’s missing values or subtle correlations, this episode emphasizes that knowing your data well is key to building trustworthy AI systems and driving strategic decisions.