{
    "info": {
        "author": "Philip Adzanoukpe",
        "author_email": "epigos@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.5",
            "Topic :: Software Development :: Libraries :: Application Frameworks",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "# Data Exploration with Matplotlib and D3.js\n\n[![Build Status](https://travis-ci.org/epigos/data-explorer.png)](https://travis-ci.org/epigos/data-explorer)\n[![PyPI version](https://badge.fury.io/py/dexplorer.svg)](https://badge.fury.io/py/dexplorer)\n\nThis is a small library built with Tornado, Matplotlib and Pandas to summarize and visualize any datasource in the browser.\n\nCurrently supports `Python 3.x`\n\nDemo\n------------\n\n![Demo](dexplorer/static/img/demo.png)\n\n\nInstallation\n------------\n\nTo install, simply:\n\n    $ pip install dexplorer\n\nUsage\n-----\n\nStarting Data Explorer:\n\n    from dexplorer import DataExplorer\n\n    dte = DataExplorer()\n    dte.read_csv('example.csv')  #  connect csv data source\n    dte.start()  #  starts a new server on port 9011 by default;\n\nBasically this is how it works;\n\n1. Data is loaded using the `Pandas` library\n2. The server start with websocket support to the browser\n3. Descriptive summary (Descriptive Statistics) of columns is generated and sent through the socket and rendered in the browser.\n4. Distribution of values (`Boxplot` and `Barplot`) in each columns is then generated using `Matplotlib` and sent to the browser as `json`.\n5. `D3.js` is then used to render the `json` plot in the browser\n\n\nDocumentation\n-----------------\n\nDocumentation can be found [here]()\n\n\nRunning the Tests\n-----------------\n\nTo run tests\n\n    python -m tornado.testing tests.functests",
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        "license": "MIT License",
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        "name": "dexplorer",
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        "summary": "View, summarize and visualize data in the browser",
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