The dataset appears to focus on the assessment of various items or factors, categorized by their impact levels. The values in the dataset indicate the degree of impact, which varies from Medium to High. This information could be useful for prioritizing issues, risks, or resource allocation based on their potential impact.
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| Impact Level |
| Medium |
| High |
| High |
| Medium |
| High |
| Medium |
| High |
| Medium |
| High |
| Medium |
| High |
| High |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| High |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| High |
| Medium |
| Medium |
| High |
| Medium |
| High |
| High |
| Medium |
| High |
| Medium |
| Medium |
| High |
| Medium |
| High |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| High |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| High |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| High |
| High |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| High |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| High |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| High |
| High |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| High |
| High |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |
| Medium |