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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3 :: Only",
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        "description": "# prettyresults - Present data analysis results in Web or Docx format\n\nPrettyresults is a Python package to display data analysis results in different formats.\nIn short: you run your data analysis using your preferred Python tools, generate\na set of results (figures, tables...) and tell prettyresults about them.\nPrettyresults will generate a neat, friendly web page with your results.\n\nSuppose you are analyzing some social or medical data, using pandas and scipy.stats.\nYou've created several matplotlib figures with descriptive data, some frequency tables,\nsome inference analysis... Visualizing all this information at once in a notebook may\nnot be practical. Prettyresults will display these results you've already created in\na webpage, allowing you to visualize them without problems. It can also create\na web document for you, with a subset of the obtained results.\n\nPrettyresults is a Python library. It implements a result system to add and manipulate\nresults (such as figures or tables). Results are hierarchical, forming a tree.\nResults can then be used to generate a web page or a Word document.\n\n## Installation and requirements\n\nFrom pypi:\n\n```pip install prettyresults```\n\nRequired Python 3.4+. Tested with Python 3.6.7.\n\nPrettyresults employs Pandas and Matplotlib.\n\n\n",
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        "summary": "Present data analysis results in Web or Docx format",
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