Data
Short_Track_Speed_Skating

Short_Track_Speed_Skating

active ARFF Publicly available Visibility: public Uploaded 29-01-2018 by Joaquin Vanschoren
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • SportsAnalytics study_93 Transportation
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Author: xWang Source: [Kaggle](https://www.kaggle.com/seniorwx/shorttrack/data) Please cite: Short Track Speed Skating Database for Sports Data Analysis The database covers all the international short track games in the last 5 years. Currently it contains only men's 500m. Detailed lap data including personal time and ranking in each game from seasons 2012/2013 to present . The final time results, ranking, starting position, qualified or penalized information of each athlete in each game. All series of World Cup, World Championship, European Championship and Olympic Games. Original data source The data is collected from the ISU's (International Skating Union) official website. I have already done the cleaning procedure. Please make sure that the data are only for personal and non-commercial use. Explore the data Interesting questions may be like: - What will happen in a game when there are more than one athlete from the same team? Are there performance all improved? - How does the performance of athletes change within a season and over seasons? - Do some athletes have special patterns in terms of time allocation and surpassing opportunity? - What is the influence of the implementation of 'no toe starts' rules on athletes since July 2015? - Is there also home advantage like in other sports? Who are the most dangerous guys that always get penalty?

0 features

Time (target)numeric2953 unique values
333 missing
Seasonnominal5 unique values
0 missing
Seriesnominal4 unique values
0 missing
Citynominal17 unique values
0 missing
Countrynominal12 unique values
0 missing
Yearnominal5 unique values
0 missing
Monthnominal7 unique values
0 missing
Daynumeric21 unique values
0 missing
Distancenominal3 unique values
0 missing
Roundnominal11 unique values
0 missing
Groupnumeric21 unique values
0 missing
Num_Skaternumeric291 unique values
0 missing
Namestring308 unique values
0 missing
Nationalitynominal47 unique values
0 missing
Rank_In_Groupnominal6 unique values
234 missing
Start_Positionnominal6 unique values
0 missing
Qualificationnominal10 unique values
2210 missing
rank_lap1nominal6 unique values
84 missing
time_lap1numeric192 unique values
93 missing
rank_lap2nominal6 unique values
91 missing
time_lap2numeric282 unique values
93 missing
rank_lap3nominal6 unique values
108 missing
time_lap3numeric350 unique values
108 missing
rank_lap4nominal6 unique values
143 missing
time_lap4numeric409 unique values
145 missing
rank_lap5nominal7 unique values
290 missing
time_lap5numeric545 unique values
292 missing

0 properties

Data properties are not analyzed yet. Refresh the page in a few minutes.

10 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_precision - target_feature: Country
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task