Metadata-Version: 1.1
Name: scikit-data
Version: 0.1.2
Summary: The propose of this library is to allow the data analysis process more easy and automatic.
Home-page: https://github.com/OpenDataScienceLab/skdata
Author: Ivan Ogasawara
Author-email: ivan.ogasawara@gmail.com
License: MIT license
Download-URL: https://github.com/OpenDataScienceLab/skdata/archive/master.tar.gz
Description: ===============================
        SciKit Data
        ===============================
        
        
        .. image:: https://img.shields.io/pypi/v/scikit-data.svg
                :target: https://pypi.python.org/pypi/scikit-data
        
        .. image:: https://img.shields.io/travis/OpenDataScienceLab/skdata.svg
                :target: https://travis-ci.org/OpenDataScienceLab/skdata
        
        .. image:: https://readthedocs.org/projects/skdata/badge/?version=latest
                :target: https://skdata.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        
        Conda package current release info
        ====================
        
        .. image:: https://anaconda.org/conda-forge/scikit-data/badges/version.svg
                :target: https://anaconda.org/conda-forge/scikit-data
                :alt: Anaconda-Server Badge
        
        .. image:: https://anaconda.org/conda-forge/scikit-data/badges/downloads.svg
                :target: https://anaconda.org/conda-forge/scikit-data
                :alt: Anaconda-Server Badge
        
        
        About SciKit Data
        =================
        
        The propose of this library is to allow the data analysis process more easy and automatic.
        
        This library is based on some important libraries as:
        
        - pandas;
        - jupyter;
        - matplotlib;
        - scikit-learn;
        
        
        * Free software: MIT license
        * Documentation: https://skdata.readthedocs.io.
        
        Features
        --------
        
        Books used as reference to guide this project:
        
        - https://www.packtpub.com/big-data-and-business-intelligence/clean-data
        - https://www.packtpub.com/big-data-and-business-intelligence/python-data-analysis
        - https://www.packtpub.com/big-data-and-business-intelligence/mastering-machine-learning-scikit-learn
        
        Some other materials used as reference:
        
        - https://github.com/rsouza/MMD/blob/master/notebooks/3.1_Kaggle_Titanic.ipynb
        - https://github.com/agconti/kaggle-titanic/blob/master/Titanic.ipynb
        - https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/kaggle/titanic.ipynb
        
        
        This project contemplates the follow features:
        
        - Data conversions:
        
          - soon ...
        - Data collection:
        
          - soon ...
        - Data cleaning:
        
          - ...
        - Data storage:
        
          - soon ...
        - Data integration:
        
          - soon ...
        - Data manipulation:
        
          - ...
        - Outliers removal:
        
          - ...
        
        
        Installing scikit-data
        ======================
        
        Using conda
        -----------
        
        Installing `scikit-data` from the `conda-forge` channel can be achieved by adding `conda-forge` to your channels with:
        
        .. code-block:: console
        
           $ conda config --add channels conda-forge
        
        
        Once the `conda-forge` channel has been enabled, `scikit-data` can be installed with:
        
        .. code-block:: console
        
           $ conda install scikit-data
        
        
        It is possible to list all of the versions of `scikit-data` available on your platform with:
        
        .. code-block:: console
        
           $ conda search scikit-data --channel conda-forge
        
        
        Using pip
        ---------
        
        To install scikit-data, run this command in your terminal:
        
        .. code-block:: console
        
            $ pip install skdata
        
        If you don't have `pip`_ installed, this `Python installation guide`_ can guide
        you through the process.
        
        .. _pip: https://pip.pypa.io
        .. _Python installation guide: http://docs.python-guide.org/en/latest/starting/installation/
        
        
        
        
        =======
        History
        =======
        
        0.1.0 (2016-08-14)
        ------------------
        
        * First release on PyPI.
        
Keywords: scikit data analysis
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
