Parsing and Analysis of Human Leadership Data

Code base of the parsing, analysis and streamlit visualization of human leadership data generated at Humboldt Forum

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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Project

This project is part of my master's thesis "Exploration of human leading behavior using a controlled biomimetic robot in a simulated fish tank". This repository contains the log parser, analytics and streamlit.

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Built With

• 
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Getting Started

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

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• install Python 3.9.5
• install git

Installation

1. Clone the repo

   git clone https://github.com/jotpio/thesis.git

2. Install pip packages using setup.py

   python setup.py install 

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Usage

Parsing and Analytics

1. Open the projects root folder in the terminal
2. Open the load_data.ipynb jupyter notebook:

   jupyter notebook .\load_data.ipynb

3. Execute the cells, starting with the imports
4. You can choose to load raw log files and parse them, or load pre-parsed data files

Streamlit

1. Open the projects root folder in the terminal
2. Open the the streamlit folder and run the home.py file

   streamlit run .\home.py

3. This will open a local streamlit instance in your browser

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Shield:

This work is licensed under a Creative Commons Attribution 4.0 International License.

See LICENSE for more information.

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Contact

Jonas Piotrowski - marc.jonas.piotrowski@gmail.com

Project Link: https://github.com/jotpio/thesis

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Acknowledgments

• David James
• David Bierbach
• Dustin Lehmann

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