April 16, 2024, 4:55 a.m. | Pararawendy Indarjo

Towards Data Science - Medium towardsdatascience.com

Photo by Jessica Ruscello on Unsplash

Improve robustness in identifying relationships between variables by incorporating relevant hypothesis testing methods

Exploratory Data Analysis (EDA) is a fundamental skill for data scientists. To emphasize its significance, I would argue that EDA is more important than ML modeling skills. Why? Because EDA is relevant in a larger context than ML modeling.

You come across new data that you need to familiarize yourself with? Do EDA. You want to gain insights from data? Do …

analysis anova context correlation data data analysis data scientists eda exploratory-data-analysis hypothesis modeling multivariate multivariate-analysis photo relationships robust robustness scientists significance skills statistical testing variables

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