游泳赛事应用场景大数据
收藏资源简介:
以游泳比赛中运动员成绩数据为基础,通过数据对比分析处理可按照多种维度不同方式进行数据查询。 如: 1.查询运动员近一年某一个项目的比赛成绩变化、各个分段成绩的变化趋势等。 2.通过历史成绩的大数据模型训练可预估当前比赛当前组中所有人的模拟排名。运动员可以通过查询对比当前项目和小组内竞争选手的历史成绩比较分析(出发反应时、分段成绩比较、成绩分比较)。 3.可以查询比赛日程、秩序册、按项目查询、按运动员查询、按代表队查询。 4.可以查询按项目排名、按代表队排名、按比赛类型排名。
This dataset is built upon the competitive performance data of swimmers, enabling multi-dimensional and diversified data queries through comparative analysis and processing. The supported query functions are listed as follows: 1. Query the performance changes of a specific event for an athlete over the past year, as well as the changing trends of their split times and other related metrics. 2. Train a big data model using historical performance data to predict the simulated overall rankings of all athletes in the current heat of the ongoing competition. Athletes can also conduct comparative analysis by querying and comparing the historical performance of competing athletes within their current event and heat, including starting reaction time, split time comparisons, and performance score comparisons. 3. Query the competition schedule and official meet program, with support for searches by event, by athlete, and by delegation. 4. Query rankings by event, by delegation, and by competition type.




