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Exploratory Data Analysis by dharshmari is a document available to read on EtoBox.

Exploratory Data Analysis (EDA) is a crucial process in data analysis that involves exploring, summarizing, and visualizing data to understand its structure and relationships before applying models. It includes various types of analysis such as univariate, bivariate, and multivariate, and follows a series of steps to handle missing data, visualize relationships, and communicate findings. EDA is supported by tools like Python libraries NumPy, Pandas, Matplotlib, and Seaborn, which facilitate data manipulatio

Author

dharshmari

Language

EN