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Arik Chakma
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* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
9 lines
891 B
Markdown
9 lines
891 B
Markdown
# Exploratory Data Analysis
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Exploratory Data Analysis (EDA) is the process of examining a dataset to understand its structure, distributions, and relationships before formal modeling. It combines descriptive statistics and visualizations to surface patterns, anomalies, and hypotheses. EDA guides subsequent cleaning decisions and model choices.
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Visit the following resources to learn more:
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- [@article@Exploratory Statistical Data Analysis with a Real Dataset using Pandas](https://medium.com/data-science/exploratory-statistical-data-analysis-with-a-real-dataset-using-pandas-208007798b92)
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- [@article@Pandas Profiling – Easy Exploratory Data Analysis in Python](https://towardsdatascience.com/pandas-profiling-easy-exploratory-data-analysis-in-python-65d6d0e23650/)
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- [@video@Exploratory Data Analysis in Pandas | Python Pandas Tutorials](https://www.youtube.com/watch?v=Liv6eeb1VfE) |