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https://github.com/kmohamedalie/autoeda-with-python
Creating quick visualizations and summary statistics using python
https://github.com/kmohamedalie/autoeda-with-python
autoviz dataprep dtale melbourne-housing palmer-penguin sweetviz ydata-profiling
Last synced: 7 days ago
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Creating quick visualizations and summary statistics using python
- Host: GitHub
- URL: https://github.com/kmohamedalie/autoeda-with-python
- Owner: Kmohamedalie
- Created: 2023-11-17T18:18:40.000Z (12 months ago)
- Default Branch: master
- Last Pushed: 2023-11-18T13:23:33.000Z (12 months ago)
- Last Synced: 2023-11-18T19:48:38.390Z (12 months ago)
- Topics: autoviz, dataprep, dtale, melbourne-housing, palmer-penguin, sweetviz, ydata-profiling
- Language: Jupyter Notebook
- Homepage: https://kmohamedalie.github.io/AutoEDA-with-python/
- Size: 14.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Automated Exploratory Data Analysis with Python
In this repository you'll learn how to create quick visualizations and summary statistics using python automated visualization libraries:
**Notebooks:** available here [link](https://github.com/Kmohamedalie/AutoEDA-with-python/tree/master/Notebooks)
**AutoViz Libraries:**
• [D-Tale](https://pypi.org/project/dtale/)
• [AutoViz](https://pypi.org/project/autoviz/)
• [Sweetviz](https://pypi.org/project/sweetviz/)
• [pandas profiling](https://pypi.org/project/pandas-profiling/)
• [Dataprep](https://dataprep.ai/learning)
**Final Reports:**
• [Sweetviz - Housing data](https://kmohamedalie.github.io/AutoEDA-with-python/Housing.html)
• [Titanic - ydata_profiling](https://kmohamedalie.github.io/AutoEDA-with-python/Titanic.html)
• [Penguins](https://kmohamedalie.github.io/AutoEDA-with-python/Penguins.html)
• [Dataprep - Titanic EDA](https://kmohamedalie.github.io/AutoEDA-with-python/DataPrep_report.html)
