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Hpnk-indicator

This project help me to compile daily, weekly and monthly reports, for different departments.

I have created this project to automate data analysis to really help me cut down on times around 10 times faster than before.

Built With

Python3
Jupyter Notebook
Matplotlib
Pandas
Seaborn

Getting Started

This is an example of how you may give instructions on setting up your project locally.

To get a local copy up and running follow these simple example steps.

Prerequisites

Python

Setup

Navigate to your desired location to download the contents of this repository. In order to clone this repository just type the following commands over the terminal in Linux or Mac or the Windows cmd console.

git clone https://github.com/guillainbisimwa/hpnk-indicateurs.git

Install

Run the following commands to install dependencies:

$ pip install notebook
$ pip install matplotlib
$ pip install pandas
$ pip install seaborn

Usage

In order to run this project locally, just type this command:

To create a Virtual Environment:

python3 -m venv env

To activate the Environment:

source env/bin/activate

and don't forget to deaactivate after your finish working:

deactivate

Run

Start the notebook server from the command line:

jupyter notebook

You should see the notebook open in your browser. By default at http://localhost:8888

ORL - Departement

Here you need to upload a csv from ORL departement. This is the header format:

Date;Nom;Postnom;Prénom;Sexe;Age;Plaintes;Diagnostic final;Diagnostic de présemption;Examens labo;Examens imagerie;Prescriptions;EVT_POSOLOGIE

Author

👤 Guillain Bisimwa

Github : @guillainbisimwa
Twitter : @gullain_bisimwa
Linkedin : guillain-bisimwa

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

Show your support

Give a ⭐️ if you like this project!

📝 License

This project is MIT licensed.