Edvart

Edvart is an open-source Python library designed to simplify and streamline your exploratory data analysis (EDA) process.

Key Features

• One-line Reports: Generate a comprehensive set of pandas DataFrame visualizations using a single Python statement. Edvart supports:
  • Data overview,
  • Univariate analysis,
  • Bivariate analysis,
  • Multivariate analysis,
  • Grouped analysis,
  • Time series analysis.
• Customizable Reports: Produce, iterate, and style detailed reports in Jupyter notebooks and HTML formats.
• Flexible API: From high-level simplicity in a single line of code to detailed control, choose the API level that fits your needs.
• Interactive Visualizations: Many of the visualizations are interactive and can be used to explore the data in detail.

One-line Report

Installation

Edvart is available on PyPI and can be installed using pip:

pip install edvart

Usage

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.

Creating a Default Report

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")

User Documentation

The user documentation is available at https://datamole-ai.github.io/edvart/.

License

Edvart is licensed under the MIT license. See the LICENSE file for more details.

Contact

Edvart has a Gitter room for development-related and general discussions.

How to Contribute

See CONTRIBUTING.md.