Spearman Correlation Analysis of Chemical Species and PM2.5

9.5 KB of data in XLS format containing Spearman correlation factor analysis among chemical species and PM2.5. The dataset was authored by Mauricio A. Correa-Ochoa and last updated on 2026-05-27.

Use Cases

• Identify key chemical drivers of PM2.5 pollution based on correlation factors.
• Perform factor analysis to group correlated chemical species from the dataset.
• Validate air quality models using the provided correlation matrices.
• Explore non-linear relationships between pollutants using Spearman's rank correlation.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, enabling quick download and inspection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Mauricio A. Correa-Ochoa via figshare

Freshness

Last updated 2026-05-27 17:42:05; freshness should be verified.