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https://github.com/guillainbisimwa/hpnk-indicateurs
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
https://github.com/guillainbisimwa/hpnk-indicateurs
dataframe jupyter-notebook notebook python
Last synced: about 1 month ago
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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
- Host: GitHub
- URL: https://github.com/guillainbisimwa/hpnk-indicateurs
- Owner: guillainbisimwa
- Created: 2020-02-29T10:49:24.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-04-10T07:31:52.000Z (over 1 year ago)
- Last Synced: 2024-05-28T15:31:15.490Z (7 months ago)
- Topics: dataframe, jupyter-notebook, notebook, python
- Language: Jupyter Notebook
- Homepage:
- Size: 47 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: Readme.md
Awesome Lists containing this project
README
---
noteId: "65b0dd607dc211ecae4ca19163cf7daa"
tags: []
---
# 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.
```s
git clone https://github.com/guillainbisimwa/hpnk-indicateurs.git
```
### Install
Run the following commands to install dependencies:
```s
$ 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:
```s
python3 -m venv env
```
To activate the Environment:
```s
source env/bin/activate
```
and don't forget to deaactivate after your finish working:
```s
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](https://github.com/guillainbisimwa)
- Twitter : [@gullain_bisimwa](https://twitter.com/gullain_bisimwa)
- Linkedin : [guillain-bisimwa](https://www.linkedin.com/in/guillain-bisimwa-8a8b7a7b/)
## 🤝 Contributing
Contributions, issues, and feature requests are welcome!
Feel free to check the [issues page](https://github.com/guillainbisimwa/hpnk-indicateurs.git/issues).
## Show your support
Give a ⭐️ if you like this project!
## 📝 License
This project is [MIT](./MIT.md) licensed.