Data Mining for Research Diary at Indiana University

• Getting Started
  • Prerequisites
  • Installation
• Usage
• Contributing
• Contact

These instructions will help you get a copy of the project up and running on your local machine for development and testing purposes.

• Python (any version -- hopefully the latest version at the time of reading this file)
• Python library - matplotlib
• Python library - datetime
• Python library - pandas
• Python library - numpy

1. Choose and install the code Editor of your choice
2. Install python on machine from https://www.python.org/downloads/
3. Ensure pip is installed with the command: python -m ensurepip --upgrade
4. Install libraries using: python -m pip install <library_name_here>

• Main.py houses functions that are used to visualise behavioural patterns of Older adults and their corresponding Ikigai levels

We welcome contributions from the community! If you'd like to contribute to Trade_It!, please follow these steps:

1. Fork this repository.
2. Create a new branch: git checkout -b feature/your-feature-name.
3. Make your changes and commit them: git commit -m 'Add some feature'.
4. Push to the branch: git push origin feature/your-feature-name.
5. Open a pull request explaining your changes.

• goshomip@gmail.com or https://web.groupme.com/contact/103653571/4OWCyvi9
• Thank you for your interest in I.R.I.S_DiaryResponses. We hope you find it useful and we look forward to your contributions.