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A python package for clinicians with less programming experience to visualise and explore demographic and longitudinal data.

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Alieyeh/hypehd

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HYPEHD

A package to aid in data exploration for health data.
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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Contact

About The Project

HYPEHD is a Python package that provides easy to use functions, designed to make the exploration of health data easier for people with various levels of python experience, but primarily for those who are less experienced. This package aims to be a tool for real-world and practical data analysis, assisting in reaching a quicker understanding of various health related data.

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Dependencies

  • Python 3.7 (with the following packages)
    • numpy 1.19.4
    • matplotlib 3.5.3
    • seaborn 0.11.0
    • pandas 1.0.1
    • scipy.stats 1.4.1
    • sklearn.cluster 0.22.1
    • lifelines 0.27.4

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Getting Started

The source code is currently hosted on GitHub at: https://github.com/Alieyeh/hypehd Running requires:

  • Python>=3.7

Installation

Binary installers for the latest released version are available at the Test Python Package Index (TestPyPI) https://test.pypi.org/project/hypehd/#description

python -m pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple hypehd

For dependancies, you can also download the conda environment from this github and run it by issuing the following command on a terminal

git clone https://github.com/Alieyeh/hypehd
cd hypehd
conda update conda
conda create -f codenv.yml
conda activate hypehd_env

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Documentation

The official documentation can be found on: https://hypehd.readthedocs.io/en/latest/
On the website, users can find examples, API and more detailed information about this package.

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Contact

Project Link: https://github.com/Alieyeh/hypehd

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A python package for clinicians with less programming experience to visualise and explore demographic and longitudinal data.

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