Reorganize project layout into /data and /scripts and refresh README for production-quality onboarding

[Copilot]

This PR restructures the repository so datasets and analysis code are cleanly separated, then updates runtime/docs to match the new layout. It also expands the README into a full project-level reference with provenance, analysis context, and clear execution guidance.

• Repository structure

  • Moved CSV assets to data/ (constructors.csv, results.csv).
  • Moved Python analysis entrypoints to scripts/ (main.py, scatter-plot.py, interactive-scatter-plot.py).

• Runtime path updates

  • Updated all scripts to load datasets from data/ using path resolution relative to script location (instead of assuming repository-root CSV paths).
  • Updated Docker default command to run scripts/main.py.

• README overhaul

  • Rewrote README into a full project description (goals, methodology, script responsibilities, interpretation notes).
  • Added explicit data provenance for constructors.csv and results.csv from Kaggle:
    https://www.kaggle.com/datasets/rohanrao/formula-1-world-championship-1950-2020
  • Added presentation link for analysis process/context:
    https://docs.google.com/presentation/d/1bZhT_yq7-mdMf9Ao8VaFRqklGW-47c8zOK8FQtB8lGk/edit?usp=sharing
  • Added clean local and Docker run instructions aligned with the new folder structure.

from pathlib import Path
import pandas as pd

DATA_DIR = Path(__file__).resolve().parents[1] / "data"
results = pd.read_csv(DATA_DIR / "results.csv")
constructors = pd.read_csv(DATA_DIR / "constructors.csv")