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        "description": "# crunch-cube\n\nOpen Source Python implementation of the API for working with CrunchCubes\n\n## Introduction\n\nThis package contains the implementation of the CrunchCube API. It is used to\nextract useful information from CrunchCube responses (we'll refer to them as\n_cubes_ in the subsequent text). _Cubes_ are obtained from the *Crunch.io*\nplatform, as JSON responses to the specific _queries_ created by the user.\nThese queries specify which data the user wants to extract from the Crunch.io\nsystem. The most common usage is to obtain the following:\n\n - Cross correlation between different variable\n - Margins of the cross tab _cube_\n - Proportions of the cross tab _cube_ (e.g. proportions of each single element to the entire sample size)\n - Percentages\n\nWhen the data is obtained from the Crunch.io platform, it needs to be\ninterpreted to the form that's convenient for a user. The actual shape of the\n_cube_ JSON contains many internal details, which are not of essence to the\nend-user (but are still necessary for proper _cube_ functionality).\n\nThe job of this library is to provide a convenient API that handles those\nintricacies, and enables the user to quickly and easily obtain (extract) the\nrelevant data from the _cube_. Such data is best represented in a table-like\nformat. For this reason, the most of the API functions return some form of the\n`ndarray` type, from the `numpy` package. Each function is explained in greater\ndetail, uner its own section, under the API subsection of this document.\n\n## Installation\n\nThe `cr.cube` package can be installed by using the `pip install`:\n\n    pip install cr.cube\n\n\n### For developers\n\nFor development mode, `cr.cube` needs to be installed from the local checkout\nof the `crunch-cube` repository. It is strongly advised to use `virtualenv`.\nAssuming you've created and activated a virtual environment `venv`, navigate\nto the top-level folder of the repo, on the local file system, and run:\n\n    pip install -e .\n\nor\n\n    python setup.py develop\n\n### Running tests\n\nTo setup and run tests, you will need to install `cr.cube` as well as testing\ndependencies. To do this, from the root directory, simply run:\n\n    pip install -e .[testing]\n\nAnd then tests can be run using `py.test` in the root directory:\n\n    pytest\n\n## Usage\n\nAfter the `cr.cube` package has been successfully installed, the usage is as\nsimple as:\n\n\n    from cr.cube.crunch_cube import CrunchCube\n\n    ### Obtain the crunch cube JSON from the Crunch.io\n    ### And store it in the 'cube_JSON_response' variable\n\n    cube = CrunchCube(cube_JSON_response)\n    cube.as_array()\n\n    ### Outputs:\n    #\n    # np.array([\n    #     [5, 2],\n    #     [5, 3]\n    # ])\n\n## API\n\n### `as_array`\n\nTabular, or matrix, representation of the _cube_. The detailed description can\nbe found\n[here](http://crunch-cube.readthedocs.io/en/latest/cr.cube.html#cr-cube-crunch-cube-module).\n\n### `margin`\n\nCalculates margins of the _cube_. The detailed description can be found\n[here](http://crunch-cube.readthedocs.io/en/latest/cr.cube.html#cr-cube-crunch-cube-module).\n\n### `proportions`\n\nCalculates proportions of single variable elements to the whole sample size.\nThe detailed description can be found\n[here](http://crunch-cube.readthedocs.io/en/latest/cr.cube.html#cr-cube-crunch-cube-module).\n\n### `percentages`\n\nCalculates percentages of single variable elements to the whole sample size.\nThe detailed description can be found\n[here](http://crunch-cube.readthedocs.io/en/latest/cr.cube.html#cr-cube-crunch-cube-module).\n\n[![Build Status](https://travis-ci.org/Crunch-io/crunch-cube.png?branch=master)](https://travis-ci.org/Crunch-io/crunch-cube)\n[![Coverage Status](https://coveralls.io/repos/github/Crunch-io/crunch-cube/badge.svg?branch=master)](https://coveralls.io/github/Crunch-io/crunch-cube?branch=master)\n[![Documentation Status](https://readthedocs.org/projects/crunch-cube/badge/?version=latest)](http://crunch-cube.readthedocs.io/en/latest/?badge=latest)\n\n\n## Changes\n\n#### 1.11.9\n- 100% test coverage\n- New `is_empty` property in each of cube partition\n\n#### 1.11.8\n- Increase test coverage\n- Fix 2D cubes that have means with insertions\n\n#### 1.11.7\n- Fix a bug when MR x MR table is pruned on both dimensions\n\n#### 1.11.6\n- Calculate population size fraction using complete cases\n\nFor a complete list of changes see [history](https://github.com/Crunch-io/crunch-cube/blob/master/HISTORY.md).\n\n\n",
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