A survey conducted in the third quarter of 2024 found that over 92 percent of female internet users aged 16 to 24 years worldwide played video games on any kind of device. During the survey period, 93 percent of male respondents in the same age group stated that they played video games. Worldwide, over 83 percent of internet users were gamers.
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Long jump results, women and men, for all Olympics between 2008 and 2024: 2008, 2012, 2016, 2020, and 2024.
The dataset is ideal for those interested in sports analytics, performance trends, track and fied, athletics or long jump statistics, as it offers comprehensivelong jump data across multiple Olympic Games.
Dataset Highlights - Results from multiple Olympic Games (2008–2024) - Detailed jump-by-jump performance data for athletes - Separate records for preliminary and final rounds - Data from both men's and women's long jump events
Competition format - In the preliminary round, all athletes get three jumps. - The top athletes in the preliminary round proceed to the final round. This is typically the top 12 athletes from the preliminary round. - In the final round, all athletes get three jumps. The top eight athletes get an additional three jumps for a total of six jumps in the final round. - The winner is determined by the longest distance during the final round. Note that the preliminary round does not count.
Original source - The original source of this data is Wikipedia. - Here is an example page: Wikipedia 2008 Olympic Women's Long Jump Results
Column Descriptions - Rank: Athlete’s rank after the prelim round which consists of three jumps. Note that this is not the final ranking. - Group: Qualifying group (A or B) the athlete competed in during the preliminaries. - Name: Name of the athlete. - Country: Country the athlete represents. - Jump_1_Prelim: Distance (in meters) of the athlete’s first jump in the preliminary round. - Jump_2_Prelim: Distance of the athlete’s second jump in the preliminary round. - - Jump_3_Prelim: Distance of the athlete’s third jump in the preliminary round. - Jump_1_Final: Distance of the athlete’s first jump in the final round. - Jump_2_Final: Distance of the athlete’s second jump in the final round. - Jump_3_Final: Distance of the athlete’s third jump in the final round. - Jump_4_Final: Distance of the athlete’s fourth jump in the final round (if applicable). - Jump_5_Final: Distance of the athlete’s fifth jump in the final round (if applicable). - Jump_6_Final: Distance of the athlete’s sixth jump in the final round (if applicable). "- - Year: Year of the Olympic Games (e.g., 2024). - Gender: Gender of the athlete (Men or Women).
Usage Ideas - Analyze performance trends across multiple Olympic Games. - Compare the performance of male and female athletes in long jump. - Study jump-by-jump performance for individual athletes or countries. - Investigate correlations between jump performance in preliminary and final rounds. - Whether you are a sports enthusiast, data analyst, or machine learning practitioner, this dataset offers a rich source of information for understanding Olympic long jump performances over time
Sample Python notebook: https://www.kaggle.com/code/michaeldelamaza/find-long-jump-results-of-a-particular-athlete/edit
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A survey conducted in the third quarter of 2024 found that over 92 percent of female internet users aged 16 to 24 years worldwide played video games on any kind of device. During the survey period, 93 percent of male respondents in the same age group stated that they played video games. Worldwide, over 83 percent of internet users were gamers.