A Five-Step Guide for Conducting Exploratory Data Analysis - Shopify

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This post introduces a five-step guide for conducting Exploratory Data Analysis (EDA) for data scientists. It covers understanding data context, checking for missing data and imputation strategies, classifying features into continuous, discrete, and categorical types, and identifying the shape and distribution of data through visualizations and statistical measures like mean and variance. The post uses a synthetic dataset of merchant behavior to illustrate these steps, providing practical examples and encouraging note-taking throughout the process.