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https://github.com/atrcheema/tabulight

exploratory data analysis for tabular or 1D time series data

https://github.com/atrcheema/tabulight

Science Score: 13.0%

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    DOI references
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    Academic publication links
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    Scientific vocabulary similarity
    Low similarity (4.7%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

exploratory data analysis for tabular or 1D time series data

Basic Info
  • Host: GitHub
  • Owner: AtrCheema
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Size: 74.2 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing

readme.md

Documentation Status

Exploratory data analysis for tabular and 1-D time series data.

Installation

using GitHub link for the latest code

python -m pip install git+https://github.com/AtrCheema/tabulight.git

Usage

```python from tabulight import EDA from tabulight import wqdata data = wqdata() print(data.shape)

eda = EDA(data)

_ = eda.heatmap()

_ = eda.plot_missing()

_ = eda.plot_histograms()

_ = eda.boxplot(maxfeatures=18, palette="Set3") ```

Owner

  • Name: Ather Abbas
  • Login: AtrCheema
  • Kind: user
  • Location: South Korea
  • Company: Environmental Modeling and Monitoring Lab, UNIST

GitHub Events

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Dependencies

.binder/requirements.txt pypi
  • easy_mpl *
  • numpy *
  • pandas *
dev_requirements.txt pypi
  • easy_mpl * development
  • numpy * development
  • pandas * development
  • scipy * development
  • seaborn * development
  • statsmodels * development
docs/requirements.txt pypi
  • easy_mpl *
  • numpy *
  • pandas *
  • seaborn *
  • sphinx *
  • sphinx-gallery *
  • sphinx-prompt *
  • sphinx_copybutton *
  • sphinx_issues *
  • sphinx_rtd_theme ==2.0.0
  • sphinx_toggleprompt *
  • statsmodels *
requirements.txt pypi
  • easy_mpl *
  • numpy *
  • pandas *
setup.py pypi
  • easy_mpl *
  • matplotlib <=3.9.0,
  • numpy <=2.0.1,
  • pandas <=2.1.4,