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https://github.com/somjit101/data_science-eda
A collection of useful implementations to perform EDA on a new dataset in order to understand preliminary patterns in the dataset and gain a high-level grasp of the dataset using plots and visualizations.
https://github.com/somjit101/data_science-eda
boxplots contour-plots distribution eda histogram iris-dataset plots qqplot seaborn-plots statistical-analysis violin-plots
Last synced: about 2 months ago
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A collection of useful implementations to perform EDA on a new dataset in order to understand preliminary patterns in the dataset and gain a high-level grasp of the dataset using plots and visualizations.
- Host: GitHub
- URL: https://github.com/somjit101/data_science-eda
- Owner: somjit101
- Created: 2021-06-07T15:54:41.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-06-07T19:47:47.000Z (over 3 years ago)
- Last Synced: 2023-07-09T17:38:04.857Z (over 1 year ago)
- Topics: boxplots, contour-plots, distribution, eda, histogram, iris-dataset, plots, qqplot, seaborn-plots, statistical-analysis, violin-plots
- Language: Jupyter Notebook
- Homepage:
- Size: 786 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0