Chi-squared Tests of Resistance Distribution by Sequence Type

Erkison Ewomazino Odih created a 10.5 KB Excel dataset analyzing antimicrobial resistance patterns. The data represents bacterial isolates, with one isolate per cluster assigned a consensus ESBL or carbapenemase status based on cluster members. This small dataset was last updated on May 13, 2026.

Use Cases

• Perform chi-squared tests to analyze the distribution of ESBL resistance across different bacterial sequence types.
• Investigate the association between carbapenemase status and specific bacterial clusters.
• Conduct statistical analysis on antimicrobial resistance patterns using consensus statuses derived from cluster data.

Strengths

• Dataset is small at 10.5 KB, facilitating quick download and local analysis.
• Data processing is explicitly described, detailing how a consensus resistance status was assigned per cluster.

Limitations

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

Provenance

Source

figshare

Collection Method

One isolate was included per cluster, with the representative assigned the consensus ESBL or carbapenemase status for that cluster.

Freshness

Last updated 2026-05-13 18:00:17; freshness should be verified.