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Visual dataset explorer

Project description


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.

Project details

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