Data Visualization in Sport-Taking National High School Games for Example
碩士 === 國立中正大學 === 運動競技系運動與休閒教育研究所 === 106 === The purpose of this study was to explore sports performance, athletic somatotype, representative county and ethnic group, which was applied by the data visualization technique. The data was collected by National Sports Talent Database - the sports record...
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ndltd-TW-106CCU005710062019-05-16T00:44:35Z http://ndltd.ncl.edu.tw/handle/a4ums6 Data Visualization in Sport-Taking National High School Games for Example 資料視覺化運用於運動賽會 -以106年全國中等學校運動會為例 CHEN,YI-YING 陳憶瑩 碩士 國立中正大學 運動競技系運動與休閒教育研究所 106 The purpose of this study was to explore sports performance, athletic somatotype, representative county and ethnic group, which was applied by the data visualization technique. The data was collected by National Sports Talent Database - the sports records of 2017 National High School Athletic Games. The sports categories would separate into aquatic sports, athletic sports, martial-art sports, ball sports. The raw data included 14 variables as name, birth place, BMI, representative county, ethnic group and so on. The software of Power Business Intelligence (BI) was applied to analyze data visualization. The results of this study were as follows: 1.The aspect of sports categories with Body Mass Index (BMI): the value of BMI was showed on linear declining in men’s short, middle, long distance on aquatic sports. The BMI value was showed that men’s style of freestyle <backstroke <breaststroke <butterfly, and women’s style of breaststroke <freestyle <butterfly <backstroke; on athletic sports, it was presented orderly lower ranking from weightlifting <archery <track & field < gymnastics and there are indicated a linear declining within weightlifting levels; on martial art sport, aboriginal athletics was higher BMI than non-athletics; on ball sports, it was quite closely BMI value on average among badminton, table tennis, and tennis. 2.The aspect of sports categories with county’s sports performance: on aquatic and athletic sports, northern area including Taipei city and New Taipei city got most of medals and golden medals; on martial art sports, northern area including Taoyuan city, New Taipei city, and Taipei city got more than hundred medals; on ball sports, there were excellent performance among northern area- Taipei, New Taipei city, southern area- Tainan city, Kaohsiung city, and middle area- Yunlin city. 3.The aspect of sports categories with aboriginal: on aquatics sports, aboriginal athletics got 8% medals which distribute on northern area- New Taipei city, and eastern area- Hualien city; on athletic sports, they got 18% medals (weightlifting, track& field, archery, gymnastics distributing on eastern area-Yilan county, Hualien county, and Taitung county; on martial art sports, it got 20% medals including Judo, Wrestling, Karate, Taekwondo, Boxing, Shooting, and Martial Art, which distributing on Nantou county, New Taipei city, Taitung city; on ball sports, it got 4% medals from Tennis distributing on northern area-New Taipei city and Hsinchu city. This study was applied data visualization technique and utilized the raw data of 2017 National High School Athletic Games by National Sports Talent Database. Among aquatic, athletic, martial art, and ball sports categories were indicated clearly results from BMI, area (county, city), and aboriginal sports performance by using data visualization technique to enhance the features and of sport records for 2017 high school athletic games conveniently. Lin,Zin-Rong 林晉榮 2018 學位論文 ; thesis 90 zh-TW |
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碩士 === 國立中正大學 === 運動競技系運動與休閒教育研究所 === 106 === The purpose of this study was to explore sports performance, athletic somatotype, representative county and ethnic group, which was applied by the data visualization technique. The data was collected by National Sports Talent Database - the sports records of 2017 National High School Athletic Games. The sports categories would separate into aquatic sports, athletic sports, martial-art sports, ball sports. The raw data included 14 variables as name, birth place, BMI, representative county, ethnic group and so on. The software of Power Business Intelligence (BI) was applied to analyze data visualization. The results of this study were as follows:
1.The aspect of sports categories with Body Mass Index (BMI): the value of BMI was showed on linear declining in men’s short, middle, long distance on aquatic sports. The BMI value was showed that men’s style of freestyle <backstroke <breaststroke <butterfly, and women’s style of breaststroke <freestyle <butterfly <backstroke; on athletic sports, it was presented orderly lower ranking from weightlifting <archery <track & field < gymnastics and there are indicated a linear declining within weightlifting levels; on martial art sport, aboriginal athletics was higher BMI than non-athletics; on ball sports, it was quite closely BMI value on average among badminton, table tennis, and tennis.
2.The aspect of sports categories with county’s sports performance: on aquatic and athletic sports, northern area including Taipei city and New Taipei city got most of medals and golden medals; on martial art sports, northern area including Taoyuan city, New Taipei city, and Taipei city got more than hundred medals; on ball sports, there were excellent performance among northern area- Taipei, New Taipei city, southern area- Tainan city, Kaohsiung city, and middle area- Yunlin city.
3.The aspect of sports categories with aboriginal: on aquatics sports, aboriginal athletics got 8% medals which distribute on northern area- New Taipei city, and eastern area- Hualien city; on athletic sports, they got 18% medals (weightlifting, track& field, archery, gymnastics distributing on eastern area-Yilan county, Hualien county, and Taitung county; on martial art sports, it got 20% medals including Judo, Wrestling, Karate, Taekwondo, Boxing, Shooting, and Martial Art, which distributing on Nantou county, New Taipei city, Taitung city; on ball sports, it got 4% medals from Tennis distributing on northern area-New Taipei city and Hsinchu city.
This study was applied data visualization technique and utilized the raw data of 2017 National High School Athletic Games by National Sports Talent Database. Among aquatic, athletic, martial art, and ball sports categories were indicated clearly results from BMI, area (county, city), and aboriginal sports performance by using data visualization technique to enhance the features and of sport records for 2017 high school athletic games conveniently.
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author2 |
Lin,Zin-Rong |
author_facet |
Lin,Zin-Rong CHEN,YI-YING 陳憶瑩 |
author |
CHEN,YI-YING 陳憶瑩 |
spellingShingle |
CHEN,YI-YING 陳憶瑩 Data Visualization in Sport-Taking National High School Games for Example |
author_sort |
CHEN,YI-YING |
title |
Data Visualization in Sport-Taking National High School Games for Example |
title_short |
Data Visualization in Sport-Taking National High School Games for Example |
title_full |
Data Visualization in Sport-Taking National High School Games for Example |
title_fullStr |
Data Visualization in Sport-Taking National High School Games for Example |
title_full_unstemmed |
Data Visualization in Sport-Taking National High School Games for Example |
title_sort |
data visualization in sport-taking national high school games for example |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/a4ums6 |
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