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Edvart is an open-source Python library designed to simplify and streamline your exploratory data analysis (EDA) process.
Edvart is available on PyPI and can be installed using pip:
pip install edvart
See the notebook examples/report-example.ipynb for an example report on a tabular dataset or examples/time-series-report-example.ipynb for an example report on a time-series dataset.
See the Usage section of the documentation for more information.
import edvart
# Load a dataset to a pandas DataFrame
dataset = edvart.example_datasets.dataset_titanic()
# Create a default report
report = edvart.DefaultReport(dataset)
# Show the report in the current Jupyter notebook
report.show()
# Export the report to an HTML file
report.export_html("report.html")
# Export the code generating the report to a Jupyter notebook
report.export_notebook("report.ipynb")
The user documentation is available at https://datamole-ai.github.io/edvart/.
Edvart is licensed under the MIT license. See the LICENSE file for more details.
Edvart has a Gitter room for development-related and general discussions.
See CONTRIBUTING.md.
FAQs
Effective data visualization and reporting tool
We found that edvart demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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