Analysis of ‘Tokyo 2020 Olympics Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/aliaamiri/2020-summer-olympics-dataset on 14 February 2022.

--- Dataset description provided by original source is as follows ---

Context

The Olympic games are not just sport events, but some social and economic factors have effects on every nation's performance. In order to measure performance, the first step is collecting data. There is a comprehensive dataset by @heesoo37 which covers Olympic games from 1896 to 2016. I tried in vain to find a similar dataset for 2020 Summer Olympics. Therefore, I decided to make one from the data available on official Olympics website www.olympics.com. rvest, jasonlite and tidyverse packages of R language were used to web scrape the desired data.

Content

This dataset consists of every event in which an athlete participated together with age, nationality, ranks and medals. There two clear differences between current dataset and similar ones. First, in addition to medals, ranks are also included for every event an athlete took part. Second, each event is labeled in a way one can easily confer whether it is team or individual event. I will explain my incentive for doing this way in a separate notebook, however, in a nutshell, measuring performance just by counting medals and treating each team medal as an individual medal is not an accurate way. So, defining a new Key Performance Index is necessary. Although the data offered by www.olympics.com is not perfect, this website is the most comprehensive reference for 2020 Summer Olympics. www.olympedia.com is another good resource for historical data collection of past Olympic games which is maintained by a number Olympics historians and statisticians. In the process of establishing the current dataset, the main reference was www.olympics.com. In some cases there were dubious entries which was corrected or omitted after verifying them by referring to www.olympedia.com and www.wikipedia.com.

Inspiration

This dataset can be utilised to understand which countries performed better in 2020 Summer Olympics and what factors affected their success.

--- Original source retains full ownership of the source dataset ---

This timeline depicts U.S. household television ratings in the of the Summer Olympics opening ceremony from 1972 to 2016. The highest ratings belonged to the two Olympics which took place in the United States. The 1984 opening ceremony in Los Angeles earned a rating of 23.9 and the 1996 ceremony in Atlanta earned a rating of 23.6.

Analysis of ‘Summer Olympics Medals (1976-2008)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/divyansh22/summer-olympics-medals on 05 November 2021.

--- Dataset description provided by original source is as follows ---

This dataset is a list of all the medal winners in the Summer Olympics from 1976 Montreal to 2008 Beijing. It includes each and every medal awarded within the period. This dataset is intended for beginners so that they can get a taste of advanced Excel functions which is perhaps one of the key skills required to be a great data scientist. I too got my hands dirty with the dataset and played with some advanced Excel functions. Further, this dataset can also be used for a predictive model as to which country is likely to fetch the highest number of gold in a particular sports category (just an example), etc.

--- Original source retains full ownership of the source dataset ---

Dataset

This dataset was created by Alaa Dewan

Contents

It contains the following files:

This graph depicts the Olympic marketing revenues generated through ticketing from 1993 to 2016. Between 2013 and 2016, marketing revenues from ticketing amounted to 527 million U.S. dollars.

Analysis of ‘Summer Olympic Medals 1896 - 2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ramontanoeiro/summer-olympic-medals-1986-2020 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Inspiration

I wanted to create this dataset due to the recent Olympic Edition in Japan. I decided to take a look on how countries performed while playing in their home country.

** SPOILER ALERT **

They performed better. Now go check it out!

I have also created a dataset containing tabular data for Winter Olympic Editions:

https://www.kaggle.com/ramontanoeiro/winter-olympic-medals-1924-2018

--- Original source retains full ownership of the source dataset ---

Context

The Olympic games are not just sport events, but some social and economic factors have effects on every nation's performance. In order to measure performance, the first step is collecting data. There is a comprehensive dataset by @heesoo37 which covers Olympic games from 1896 to 2016. I tried in vain to find a similar dataset for 2020 Summer Olympics. Therefore, I decided to make one from the data available on official Olympics website www.olympics.com. rvest, jasonlite and tidyverse packages of R language were used to web scrape the desired data.

Content

This dataset consists of every event in which an athlete participated together with age, nationality, ranks and medals. There two clear differences between current dataset and similar ones. First, in addition to medals, ranks are also included for every event an athlete took part. Second, each event is labeled in a way one can easily confer whether it is team or individual event. I will explain my incentive for doing this way in a separate notebook, however, in a nutshell, measuring performance just by counting medals and treating each team medal as an individual medal is not an accurate way. So, defining a new Key Performance Index is necessary. Although the data offered by www.olympics.com is not perfect, this website is the most comprehensive reference for 2020 Summer Olympics. www.olympedia.com is another good resource for historical data collection of past Olympic games which is maintained by a number Olympics historians and statisticians. In the process of establishing the current dataset, the main reference was www.olympics.com. In some cases there were dubious entries which was corrected or omitted after verifying them by referring to www.olympedia.com and www.wikipedia.com.

Inspiration

This dataset can be utilised to understand which countries performed better in 2020 Summer Olympics and what factors affected their success.

Analysis of ‘Olympic Games 2021 Medals’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/stefanzivanov/olympic-games-2021-medals on 13 February 2022.

--- Dataset description provided by original source is as follows ---

The 2021 Games are the fourth Olympic Games to be held in Japan, following the Tokyo 1964 (Summer), Sapporo 1972 (Winter), and Nagano 1998 (Winter) games. The 2021 Summer Olympics , officially the Games of the XXXII Olympiad and branded as Tokyo 2021, is an ongoing international multi-sport event being held from 23 July to 8 August 2021 in Tokyo, Japan, with some preliminary events that began on 21 July. More than 11,000 athletes from 200 countries took part in these Olympic Games.

Data source: Tokyo 2021 Olympics

--- Original source retains full ownership of the source dataset ---

India's performance at the Summer Olympics - total competitors, sports competed in and medals won, and comparison with global peers.

The 2024 Summer Olympics, officially the Games of the XXXIII Olympiad and branded as Paris 2024, were an international multi-sport event that occurred from 26 July to 11 August 2024 in France, with the opening ceremony having taken place on 26 July.

Data is collected from here and updated at 14 August 2024.

This activity requires students to apply spatial analysis to explore patterns in data related to the modern Summer Olympics.

You will work individually to understand whether:

Hemisphere has any effect on the hosting nations for the modern OlympicsDevelopment and equity effect the pattern of medals won at 2024 Paris Olympics. Answers to the questions posed in the Student Materials are inserted in this document.

States differ significantly in international sports competitions in how they use the resources they have and whether they do so in an efficient manner. In this paper, we investigate the efficiency of the nations from the so-called “Global South”, in total 52 states, during the 2000–2024 Summer Olympics. By doing this, our paper is the first using the Bayesian stochastic frontier analysis for exploring the performance of the states of the Global South. We perform an age decomposition, which shows that the 25–29 and 30–34 age cohorts contribute the most to Olympic performance. Our findings also suggests that transient efficiencies are higher than persistent efficiencies in a majority of the analyzed nations. Our analysis represents an important contribution in analyzing developing states‘ efficiency in elite sports.

Bayesian estimates of (2), Summer Olympics, 2000–2024.

This dataset is a list of all the medal winners in the Summer Olympics from 1976 Montreal to 2008 Beijing. It includes each and every medal awarded within the period. This dataset is intended for beginners so that they can get a taste of advanced Excel functions which is perhaps one of the key skills required to be a great data scientist. I too got my hands dirty with the dataset and played with some advanced Excel functions. Further, this dataset can also be used for a predictive model as to which country is likely to fetch the highest number of gold in a particular sports category (just an example), etc.

Context

This dataset is created to perform sports analysis in various ways

Content

The dataset consists of two csv files- - all_athlete_games (Primary/**Main** file): Register of Olympics Saga/History - 31 years of Summer Olympics data (1896-2020 span) - 22 years of Winter Olympics data (1924-2020 span) - all_regions (Secondary file)

Inspiration

You can perform an Olympics analysis using the dataset, for example- a dashboard representing it

This dataset includes important economic, demographic and sport data related to Summer Olympic games in Rio de Janeiro 2016. Dataset includes variables such as: GDP, GDP per capita, Inflation, Population total, Population 15-64, Economic Active Population, Corruption Perception Index, Medal rankings, and World Bank's country classification by income. Dataset can be used for any Rio 2016 Olympic games related analysis and any classical economic models.

Overview of results for each region by average transient efficiency (Model I), average persistent efficiency (Model II) and key insights.

Inspiration

I wanted to create this dataset due to the recent Olympic Edition in Japan. I decided to take a look on how countries performed while playing in their home country.

** SPOILER ALERT **

They performed better. Now go check it out!

I have also created a dataset containing tabular data for Winter Olympic Editions:

https://www.kaggle.com/ramontanoeiro/winter-olympic-medals-1924-2018

Purpose: The purpose of this paper is to consolidate knowledge and benchmark the progress being made across the 32 International Federations (IFs) in the Summer Olympic Programme.

Design/Methodology/Approach: A website content analysis, analytical hierarchy of information, and social media research was conducted to triangulate the barriers and drivers of environmental sustainability (ES) progress. This data was then analysed to empirically substantiate the findings of previous methods by exploring potential drivers of IF ES progress and communication and refining the ranking of IF ES progress.

Results and Findings: World Sailing is by far the most advanced IF in terms of ES progress, followed by World Athletics. Only 4 out of 32 have any sort of strategic ES plans. Only Golf, Surfing, Football, Sailing, and Hockey having received any academic attention. There is a significant lack of understanding of environmental practices across sport, and their drivers/barriers. There is limi...

Context

The 2020 Summer Olympics, officially known as the XXXII Olympiad Games, most commonly Tokyo 2020, was a multi-sport event held during the summer of 2021 due to the COVID-19 pandemic in the Tokyo metropolitan region, Japan.

Data is collected from here.

Note: The names of the countries are in portuguese.