Dog Movie Stars and Breed Popularity Trends with Financial Metrics

A dataset from a paper under review at Proceedings of the Royal Society of London, B, by Stefano Ghirlanda. It contains information on dog actors in movies, their breeds, and the calculated impact of movie appearances on breed popularity trends. The data includes movie financials like earnings and estimated viewers, with missing values recorded as NA.

Use Cases

• Analyzing the effect of movie exposure on dog breed popularity trends based on the 'effect[n]' and 'excess[n]' columns.
• Correlating movie financial success metrics like 'earnings' and 'viewers' with changes in breed registration trends.
• Studying the role of major studios like Disney, indicated by the 'disney' column, in influencing breed popularity.
• Modeling pre- and post-movie popularity trends using the 'before[n]' and 'after[n]' calculated quantities.

Strengths

• Data is associated with a formal academic paper under peer review, suggesting a research-grade methodology.
• Includes multiple calculated metrics for popularity impact ('effect[n]', 'excess[n]') around movie release years.
• Financial data is standardized, with earnings reported in 2012 USD.

Limitations

• Row count, file size, and specific temporal coverage are unknown, limiting suitability assessment for large-scale analysis.
• Column-level documentation is described but the actual column list and sample data are unavailable for verification.
• The last update date is unknown, so data freshness is unverified.

Provenance

Source

Stefano Ghirlanda, paper under review at Proceedings of the Royal Society of London, B.

Collection Method

Likely compiled from movie databases, breed registration records, and financial reports, with calculations as described in the associated paper.

Time Range

The 'year' column indicates temporal coverage, but the specific range is unknown.