https://github.com/jocelynvelarde/embraceplus-visualizer
Visualize your raw data from .avro files for the EmbracePlus device from Empatica
https://github.com/jocelynvelarde/embraceplus-visualizer
avro-schema csv-files data-visualization empatica health-monitoring monitoring-tool python streamlit
Last synced: 7 months ago
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Visualize your raw data from .avro files for the EmbracePlus device from Empatica
- Host: GitHub
- URL: https://github.com/jocelynvelarde/embraceplus-visualizer
- Owner: JocelynVelarde
- Created: 2024-05-13T18:07:47.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-20T18:04:05.000Z (over 1 year ago)
- Last Synced: 2024-05-20T19:32:10.221Z (over 1 year ago)
- Topics: avro-schema, csv-files, data-visualization, empatica, health-monitoring, monitoring-tool, python, streamlit
- Language: Python
- Homepage: https://embraceplusview.streamlit.app/
- Size: 33.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# .avro data visualizer for EmbracePlus from Empatica 📈
Visualize your raw data from .avro files for the EmbracePlus device from Empatica.Currently there is no tool available that allows users from the EmbracePlus bracelet to visualize their data automatically. For this I developed an online visualizer for .avro format files, where graphs are generated to view participants data sets.
## Authors
- [@JocelynVelarde](https://github.com/JocelynVelarde)
## Features
- Upload multiple .avro files
- Visualize al raw data metrics in different graphs vs time (taking in consideration sampling time and initial timestamp to ensure continuity and congruency)
- Download .csv datasets generated from the proposed graphs
- Useful when handling large amounts of data
- Light and Dark mode enabled
- Available in all devices## Structure
```bash
streamlit_app
├─ home.py
├─ Tests
│ └─ graph.py
│ └─ join.py
│ └─ view.py
├─ assets
├─ pages
│ └─ visualize.py
├─ .gitignore
└─ requirements.txt
```## Tools
- Streamlit
- pandas
- fastavro
- numpy
- matplotlibDeployed with: Streamlit Cloud
## Try it
[Try it here](https://embraceplusview.streamlit.app/)
## Demo
## License
[MIT](https://choosealicense.com/licenses/mit/)