Olympic Coaching Allocation and Impact Analysis

You Liu's research dataset analyzes the allocation and impact of great coaches on Olympic performance. The dataset is 5.5 KB in size and is stored in an XLS file format. It employs methods like the Improved Cusum Algorithm and Decay Model for analysis.

Use Cases

• Apply the Improved Cusum Algorithm to detect performance change points in athlete data influenced by coaching.
• Use the Decay Model to analyze the time attenuation of a coach's influence on team performance metrics.
• Investigate dynamic confounding bias in coaching impact studies using the dataset's methodological framework.
• Compare coaching systems like Zhou Jihong Coaching or the Brazilian Swimming Team as case studies within the analysis.

Strengths

• Dataset is openly licensed under CC BY 4.0.
• Methodology incorporates specific analytical techniques like the Improved Cusum Algorithm and Decay Model.
• Includes references to concrete case studies such as the Chinese Diving Team and Brazilian Swimming Team.

Limitations

• Very small scale at 5.5 KB, indicating limited raw data or a highly processed, summary-level analysis.
• Lacks visible structural details like row count, column names, or sample data for direct analytical use.
• Focus on methodological analysis may mean underlying athlete or event-level data is not directly included.

Provenance

Source

figshare, author You Liu.

Collection Method

Analysis dataset for research on coaching allocation and impact; specific gathering method unknown.

Time Range

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Freshness

Last updated March 13, 2026.

Geography

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