shivpalSW/EDA-with-AutoEDA-libraries
Implemented ,Analyzed & compared working, functionalities & Insights of different available Auto EDA libraries
When working with new datasets, you often need to quickly understand their key characteristics, distributions, and potential issues before diving into detailed analysis. This project helps data practitioners by providing a curated list and comparison of automated exploratory data analysis (EDA) tools. It takes raw or partially prepared data and outputs comprehensive summaries, visualizations, and diagnostic reports, helping data scientists, analysts, and researchers efficiently gain insights.
No commits in the last 6 months.
Use this if you are a data scientist, analyst, or researcher who wants to rapidly explore and understand a dataset using automated tools.
Not ideal if you require highly customized, in-depth statistical modeling or advanced machine learning directly from your EDA process.
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Last pushed
Feb 18, 2023
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