graph TD
    A["Bounded Dataset"] --> B["Identify Natural Bounds"]
    B --> C["Choose Scaling Method"]
    C --> D["Min-Max Scaling"]
    C --> E["Range Adjustment"]
    D --> F["Scaled Dataset"]
    E --> F
    F --> G["Validation"]
    G --> H{"Within Bounds?"}
    H -- Yes --> I["Analysis Ready"]
    H -- No --> C
    
    %% Style definitions
    style A fill:#d4f1f4
    style F fill:#e1f7d5
    style I fill:#c9e4de

When working with bounded datasets (those with inherent limits, such as percentages (0–100) or probabilities (0–1)), it’s important to choose the appropriate scaling method.

Techniques like Min-Max Scaling and Range Adjustment are well-suited for these cases, as they naturally adapt data to the desired bounds. This ensures consistency and interpretability while avoiding values exceeding the data's logical limits.

Next element:

Standardisation