How do you formulate and test hypotheses based on your exploratory data analysis?
Exploratory data analysis (EDA) is a crucial step in any data-driven project, as it helps you understand the characteristics, patterns, and relationships in your data. But EDA is not only about visualizing and summarizing your data, it is also about generating and testing hypotheses that can guide your further analysis and decision making. In this article, you will learn how to formulate and test hypotheses based on your EDA, using some common tools and techniques.
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Dr. Uohna ThiessenLeading AI Strategist, empowering businesses to leverage AI automation (chatbots, conversational AI, & AI agents) to…
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Maya GoradiaAnalytics | Experimentation | Data Product Management | Head of Data | FinTech | CX | ex PayPal, eBay
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Joachim SchorkData Science Education & Consulting