ranks_sports: Sports Data (complete rankings with covariates)
In MSmix: Finite Mixtures of Mallows Models with Spearman Distance for Full and Partial Rankings
ranks_sports R Documentation
Sports Data (complete rankings with covariates)
Description
The Sports dataset was collected through an on-line questionnaire on sport preferences and habits administered within the 2016 Big Data Analystics in Sports (BDsports) project, developed by the Big and Open Data Innovation Laboratory (BODaI-Lab) of the University of Brescia. A sample of N=647 respondents provided their complete rankings of n=8 popular sports according to their personal preferences. The sports are:
1 = Soccer, 2 = Swimming, 3 = Volleyball, 4 = Cycling, 5 = Basket, 6 = Boxe and martial arts, 7 = Tennis and 8 = Jogging. The dataset also includes several covariates concerning respondents' socio-demographics characteristics and other sport-related information.
Usage
data(ranks_sports)
Format
A data frame gathering N=647 complete rankings of the sports in the first n=8 columns (rank 1 = most preferred item) and individual covariates in the remaining columns. The variables are detailed below:
- Soccer
Rank assigned to Soccer.
- Swimming
Rank assigned to Swimming.
- Volleyball
Rank assigned to Volleyball.
- Cycling
Rank assigned to Cycling.
- Basket
Rank assigned to Basket.
- Boxe_and_martial_arts
Rank assigned to Boxe and Martial Arts.
- Tennis
Rank assigned to Tennis.
- Jogging
Rank assigned to Jogging.
- Gender
Gender.
- Birth_month
Month of birth.
- Birth_year
Year of birth.
- Education
Education level.
- Residence
Geographical area of residence.
- Work
Type of work.
- Smoking
Smoking status.
- Sport_frequency
Number of times per week that the respondent plays sports.
- Sport_hours
Number of hours per week that the respondent watches sports.
- Sport_played
Sport played by the respondent.
- Personality
Main aspect of respondent's personality.
- Sport_motivation
Main reason why the respondent plays sport.
- Sport_type
Favorite sport type.
- Sport_relationships
Do you think that sport, especially in team games, allows you to make new friends?
- Water
Quantity of water consumed per day.
- Alcohol
Frequency of alcohol consumption.
- Fastfood
Frequency of fast food consumption.
- Food_supplements
Opinion about the use of food supplements in sports.
- Massmedia
Prevalent mass media used to inquire about sport.
- TV_space
Do you think that sport currently occupies the space it deserves on TV? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Magazine_space
Do you think that sport currently occupies the space it deserves on the magazines? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Radio_space
Do you think that sport currently occupies the space it deserves on the radio? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Internet_space
Do you think that sport currently occupies the space it deserves on internet? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Paid_channels
Do you think it is right that some sports are only accessible on paid channels? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Subscriptions
Any past or current subscription to a sport magazine/channel.
- Psycol_well_being
Do you think that practicing sports affects psychological well-being? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Physical_well_being
Do you think that practicing sports affects physical well-being? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Sport_nutrition
Do you think nutrition affects sport? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Overall_health
Do you think that practicing sports affects health? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Stress
Self-reported stress level on a scale between 0 and 100.
- Economic_status
Level of satisfaction for one's own economic status: 0=not at all, 1=a little bit, 2=enough, 3=satisfied, 4=a lot. It is the only covariate with some NA's.
References
Simone, R., Cappelli, C. and Di Iorio, F., (2019). Modelling marginal ranking distributions: the uncertainty tree. Pattern Recognition Letters, 125, pages 278–288, DOI: 10.1016/j.patrec.2019.04.026.
Simone, R. and Iannario, M., (2018). Analysing sport data with clusters of opposite preferences. Statistical Modelling, 18(5-6), pages 505–524, DOI: 10.1177/1471082X18798455.
Examples
str(ranks_sports)
head(ranks_sports)
MSmix documentation built on April 3, 2025, 9:29 p.m.
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| ranks_sports | R Documentation |
Sports Data (complete rankings with covariates)
Description
The Sports dataset was collected through an on-line questionnaire on sport preferences and habits administered within the 2016 Big Data Analystics in Sports (BDsports) project, developed by the Big and Open Data Innovation Laboratory (BODaI-Lab) of the University of Brescia. A sample of N=647 respondents provided their complete rankings of n=8 popular sports according to their personal preferences. The sports are:
1 = Soccer, 2 = Swimming, 3 = Volleyball, 4 = Cycling, 5 = Basket, 6 = Boxe and martial arts, 7 = Tennis and 8 = Jogging. The dataset also includes several covariates concerning respondents' socio-demographics characteristics and other sport-related information.
Usage
data(ranks_sports)Format
A data frame gathering N=647 complete rankings of the sports in the first n=8 columns (rank 1 = most preferred item) and individual covariates in the remaining columns. The variables are detailed below:
- Soccer
Rank assigned to Soccer.
- Swimming
Rank assigned to Swimming.
- Volleyball
Rank assigned to Volleyball.
- Cycling
Rank assigned to Cycling.
- Basket
Rank assigned to Basket.
- Boxe_and_martial_arts
Rank assigned to Boxe and Martial Arts.
- Tennis
Rank assigned to Tennis.
- Jogging
Rank assigned to Jogging.
- Gender
Gender.
- Birth_month
Month of birth.
- Birth_year
Year of birth.
- Education
Education level.
- Residence
Geographical area of residence.
- Work
Type of work.
- Smoking
Smoking status.
- Sport_frequency
Number of times per week that the respondent plays sports.
- Sport_hours
Number of hours per week that the respondent watches sports.
- Sport_played
Sport played by the respondent.
- Personality
Main aspect of respondent's personality.
- Sport_motivation
Main reason why the respondent plays sport.
- Sport_type
Favorite sport type.
- Sport_relationships
Do you think that sport, especially in team games, allows you to make new friends?
- Water
Quantity of water consumed per day.
- Alcohol
Frequency of alcohol consumption.
- Fastfood
Frequency of fast food consumption.
- Food_supplements
Opinion about the use of food supplements in sports.
- Massmedia
Prevalent mass media used to inquire about sport.
- TV_space
Do you think that sport currently occupies the space it deserves on TV? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Magazine_space
Do you think that sport currently occupies the space it deserves on the magazines? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Radio_space
Do you think that sport currently occupies the space it deserves on the radio? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Internet_space
Do you think that sport currently occupies the space it deserves on internet? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Paid_channels
Do you think it is right that some sports are only accessible on paid channels? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Subscriptions
Any past or current subscription to a sport magazine/channel.
- Psycol_well_being
Do you think that practicing sports affects psychological well-being? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Physical_well_being
Do you think that practicing sports affects physical well-being? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Sport_nutrition
Do you think nutrition affects sport? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Overall_health
Do you think that practicing sports affects health? Rating from 1=definitely not to 7=definitely yes with 4=indifferent.
- Stress
Self-reported stress level on a scale between 0 and 100.
- Economic_status
Level of satisfaction for one's own economic status: 0=not at all, 1=a little bit, 2=enough, 3=satisfied, 4=a lot. It is the only covariate with some
NA's.
References
Simone, R., Cappelli, C. and Di Iorio, F., (2019). Modelling marginal ranking distributions: the uncertainty tree. Pattern Recognition Letters, 125, pages 278–288, DOI: 10.1016/j.patrec.2019.04.026.
Simone, R. and Iannario, M., (2018). Analysing sport data with clusters of opposite preferences. Statistical Modelling, 18(5-6), pages 505–524, DOI: 10.1177/1471082X18798455.
Examples
str(ranks_sports)
head(ranks_sports)
R Package Documentation
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