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Another point is related to data publish. A lot of data analysts doesn't know about open data repositories or doesn't consider that in his/her scientific workflow communication.\n\nSpecifics objectives:\n\n* optimize data visualization;\n* integration with open data repositories to publish data;\n* reproducibility on data analysis tasks through storing and recovery operations;\n\nSkData should integrate with Pandas library (Python).\n\n\nBooks used as reference to guide this project:\n----------------------------------------------\n\n- https://www.packtpub.com/big-data-and-business-intelligence/clean-data\n- https://www.packtpub.com/big-data-and-business-intelligence/python-data-analysis\n- https://www.packtpub.com/big-data-and-business-intelligence/mastering-machine-learning-scikit-learn\n- https://www.packtpub.com/big-data-and-business-intelligence/practical-data-analysis-second-edition\n\nSome other materials used as reference:\n---------------------------------------\n\n- https://github.com/rsouza/MMD/blob/master/notebooks/3.1_Kaggle_Titanic.ipynb\n- https://github.com/agconti/kaggle-titanic/blob/master/Titanic.ipynb\n- https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/kaggle/titanic.ipynb\n\n\nInstalling scikit-data\n======================\n\nUsing conda\n-----------\n\nInstalling `scikit-data` from the `conda-forge` channel can be achieved by adding `conda-forge` to your channels with:\n\n.. code-block:: console\n\n   $ conda config --add channels conda-forge\n\n\nOnce the `conda-forge` channel has been enabled, `scikit-data` can be installed with:\n\n.. code-block:: console\n\n   $ conda install scikit-data\n\n\nIt is possible to list all of the versions of `scikit-data` available on your platform with:\n\n.. code-block:: console\n\n   $ conda search scikit-data --channel conda-forge\n\n\nUsing pip\n---------\n\nTo install scikit-data, run this command in your terminal:\n\n.. code-block:: console\n\n    $ pip install skdata\n\nIf you don't have `pip`_ installed, this `Python installation guide`_ can guide\nyou through the process.\n\n.. _pip: https://pip.pypa.io\n.. _Python installation guide: http://docs.python-guide.org/en/latest/starting/installation/\n\n\nMore Information\n----------------\n\n* License: MIT\n* Documentation: https://skdata.readthedocs.io\n\n\nReferences\n----------\n\n* CUESTA, Hector; KUMAR, Sampath. Practical Data Analysis. Packt Publishing Ltd, 2016.\n\n\n**Electronic materials**\n\n* [1] http://www.datasciencecentral.com/profiles/blogs/introduction-to-outlier-detection-methods\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fosl-pocs%2Fskdata","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fosl-pocs%2Fskdata","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fosl-pocs%2Fskdata/lists"}