Visual dataset explorer
Currently under initial development, do not use.
This Python 3 library is a visual dataset explorer that can be used to analyse the main properties of a dataset. It is named after Juan Sebastián Elcano, the explorer who completed the first circumnavigation of the Earth.
Some of the main features of this library are:
- Wide format support: The formats ARFF, BSI, CSV, DAT, DATA, JSON, LIBSVM, M, NAMES, XRFF and their gzipped versions can be used.
- Comprehensive analysis features: many analysis tools are available to study the dataset, giving access to well-known toolboxes such as scikit-learn, keras and pandas.
- Pipeline storage and sharing: the pipelines created can be saved locally and uploaded to the pipeline cloud.
- Simple-yet-powerful interface: when a dataset is loaded, a web platform is deployed locally to analyse the datasets visually. Every pipeline can be exported as a script to avoid losing the grip on the process.
Install and usage
Installing and using this library is as simple as:
$ pip install elcano Successfully installed elcano-0.1 $ elcano dataset.csv
A complete reference will be added as the development of this library advances.
Released on May 24, 2020.
- Initial package upload.
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