Introduce a Python script for transforming QUGS 2D grid structure data into a simplified 1D beam format suitable for SVM-based damage detection. The script efficiently slices original CSV files into smaller, manageable sets, correlating specific damage scenarios with their corresponding sensor data. This change addresses the challenge of retaining critical damage localization information during the data conversion process, ensuring high-quality, relevant data for 1D analysis.
Closes#20
Update the README.md file in the data/processed directory to provide clearer instructions on how to load the data from the desired Dx_TESTy.csv file. This change enhances the usability of the data files for analysis.
- Create a Python script to generate CSV files in a structured folder hierarchy under `data/processed` with specific damage levels and tests.
- Add a `.gitignore` file to exclude CSV files from Git tracking, enhancing data privacy and reducing repository size.
- Include a `README.md` in the `data` directory to clearly document the directory structure, file content, and their intended use for clarity and better usability.
Closes#7
