#Introduction This is data from the 2017 World Wushu Championships. Wushu means Chinese Martial Arts. This competition is from Contemporary Wushu where athletes perform a routine on a carpet. Their routine is made up of punches, kicks, jumps, tumbling, stances, and balances. Athletes are scored on three components: 1) A Score: Quality of Movements 2) B Score: Evaluation of Overall Performance 3) C Score: Degree of Difficulty The overall score is the sum of all three components. Each row on this dataset represents an A score deduction. Here is a video of the Men's Wushu Changquan winning performance: https://youtu.be/korL5wKkeW0 #Data Dictionary Name: Athlete's Name Country: Athlete's Country Overall_Score: Final Score of the Athlete. Include all three components. Rank: Final Ranking of the Athlete based on the overall score. A_Score: Score for the quality of movements. An athlete starts out with 5 points and gets deductions. B_Score: Score for overall performance of the athlete's routine. Maximum is 3 points for B score. C_Score: Score for the degree of difficulty. If an athlete's succeeds in their jumps and difficult moves, they keep their points. Maximum is 2 points for degree of difficulty. Time: The duration of the athlete's performance. PlaceCat: Final placing category of the athlete. Examples: Gold, Top 10, Top 20, etc. Region: The region of the athlete's country. Event: The competition event that the athlete is performing. Similar to how gymnastics and swimming have different events at the olympics. Gender: The athlete's gender. Male or Female. B_Score_Cat: The athlete's B score placing category. A_Ded_Cnt: The number of A score deductions. Nandu_Miss: The number of missed degree of difficulty movements. Impacts the C score. Nandu_Total: The number of attempted degree of difficulty movements. Impacts the C score. Nandu_Completed: The number of successful degree of difficulty movements. Impacts the C score. #Acknowledgements This data is scored by the International Wushu Federation (IWUF) and Justtool. #Inspiration The hope is that this dataset can be analyzed to give athletes insights on how to do well in a Wushu competition. Data scientists can explore the data, make predictive models, etc.