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2019-Ironman-World-Championship-Results

2019-Ironman-World-Championship-Results

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Lowe
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Context Data set containing results from 2019 Ironman World Championship in Kona, Hawaii to help answer the question of which countries produce the fastest overall finish times, as well as fastest swim, bike, and run times. Content The data set contains the name of each male and female competitor, the country they are representing, their category (Professional or Age Group), their overall placing, finish time, and swim / T1 / bike / T2 / run splits. Acknowledgements Coach Cox (www.coachcox.co.uk) Inspiration

14 features

BIBnumeric2434 unique values
0 missing
Namestring2431 unique values
0 missing
Countrystring73 unique values
2 missing
Genderstring2 unique values
0 missing
Divisionstring27 unique values
0 missing
Swimstring1542 unique values
79 missing
Bikestring2053 unique values
119 missing
Runstring2017 unique values
173 missing
Overallstring2136 unique values
176 missing
Division_Rankstring298 unique values
0 missing
Gender_Rankstring1614 unique values
0 missing
Overall_Rankstring2139 unique values
0 missing
T1string508 unique values
81 missing
T2string591 unique values
136 missing

19 properties

2434
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
766
Number of missing values in the dataset.
178
Number of instances with at least one value missing.
1
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of nominal attributes.
Average class difference between consecutive instances.
7.14
Percentage of numeric attributes.
2.25
Percentage of missing values.
7.31
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0.01
Number of attributes divided by the number of instances.

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