Python Scripts for Statistical Analyses and Figures from PLOS ONE Study

17.7 KB of Python scripts for reproducing statistical analyses and visualizations from a PLOS ONE article. The code generates Table 3, Figures 7–10, and finite-size scaling results from raw data files. The scripts were authored by Chung-Yuan Huang and last updated on 2026-05-19.

Use Cases

• Reproduce published statistical analyses based on the described code for Table 3 and Figures 7–10
• Learn data visualization techniques for finite-size scaling results based on the included scripts
• Verify computational findings from the referenced PLOS ONE article based on the provided analysis code
• Adapt statistical analysis pipelines for similar research based on the Python script structure

Strengths

• Code is directly linked to a published PLOS ONE article, providing clear academic context.
• The 17.7 KB size suggests a focused, non-redundant collection of scripts.
• Released under the CC-BY-4.0 license, allowing for reuse and modification.

Limitations

• The dataset contains only code; the raw data files are hosted separately and must be located.
• Row count and column-level documentation are unknown, limiting direct assessment of the underlying data.
• The description is brief, and the actual functionality of the scripts requires execution to verify.

Provenance

Source

Chung-Yuan Huang via figshare

Collection Method

Created as supplementary material for a PLOS ONE publication.

Freshness

Last updated 2026-05-19 18:00:05