We have obtained all video sequences from YouTube and annotated their class label with the help of Amazon Mechanical Turk. Please contact us to get started with full access to dossiers, forecasts, studies and international data. Let’s try to plot a scatterplot of height vs weight to see the distribution of values (without grouping by discipline). Let’s take only the values that are different from NaN. Additionally Location data isnât limited to regions and countries, and the Olympics is a valuable source of far more granular datasets. The ranking tracks the total number of medals won. The data have been scraped from www.sports-reference.com in May 2018. Summer Olympics: Cumulative medal count by country and record of host cities by year. Let’s create a dataframe to filter the gold medals only for the USA. Register in seconds and access exclusive features. Directly accessible data for 170 industries from 50 countries August 22, 2016. But while the United States can boast about their impressive 2,814 total medals across all olympic games, that doesnât paint the full picture. This graph visualizes the number of medals won by each Nation (NOC) during the Olympics. ), the articleâs stunning use of data visualization provides a new perspective on how truly fast these athletes go, and exemplifies data visualization as a learning and education tool. Let’s now review the top 5 gold medal countries: The USA seems to be the most winning country. While SnapMap isnât an example of data journalism in and of itself, it is a tool that data storytellers are going to want in their toolkit going forward. Okay, now we can plot the change over time: Okay, we can quickly do the same operation for women: Let’s first of all isolate all the discipline of the Olympics dataframe. 81 additional nations earned medals during the Olympic Summer Games. Accessed November 26, 2020. https://www.statista.com/statistics/262864/all-time-summer-olympics-medals-table/, olympic.org. It makes sense: I cannot imagine a sprinter making 100 meters in 10 seconds at 55, but who knows! Presenting these short videos on a map will engender a greater understanding of an eventâs global reach and impact. Based on each athleteâs standings in the global rankings of their respective sport, Anthony assigned a likelihood of victory (big chance, average chance, small chance). Use the describe and info functions to collect statistical information, datatypes, column names and other information. The site also includes choropleth maps of the world that update based on the readers selections, empowering greater insight into the geographical differences in Olympic success. Donât forget to share this post on Twitter, Facebook, and Linkedin! The national pride that accompanies Olympic glory often involves substantial grandstanding and one upmanship. Update, Insights into the world's most important technology markets, Advertising & Media Outlook We will now create a new dataframe called masterDisciplines in which we will insert this new set of people and then create a visualization with it. We will now try using a pointplot to visualize the variation in weight over athletes. Most Super Bowl wins by NFL team 1967-2020, Average ticket price for an NFL game by team, FIFA world ranking men's national soccer teams 2020, Athletic footwear global market share by company, Health & Fitness Clubs - Statistics & Facts, Sporting Goods Industry - Statistics & Facts, Research expert covering sports & recreation in the UK & Europe, Profit from additional features with an Employee Account. Mapping tools are helping storytellers to paint a deeper picture and provide new insights into the inner-workings of the Games, and are a key piece of the modern data journalistâs toolkit. First of all, we have to take again the goldMedals dataframe. Overview and forecasts on trending topics, Key figures and rankings about brands and companies, Consumer insights and preferences in various industries, Detailed information about political and social topics, All key figures about regions and countries, Everything you need to know about Consumer Goods, Identify market potentials of the digital future, Technology Market Outlook ", olympic.org, Olympic Summer Games medal table (total medals won) from 1896 to 2016 Statista, https://www.statista.com/statistics/262864/all-time-summer-olympics-medals-table/ (last visited November 26, 2020), Olympic Summer Games medal table (total medals won) from 1896 to 2016, Largest cities in Brazil by population 2019, Share of economic sectors in the GDP in Brazil 2019, Number of participating countries in the Summer Olympics 1896-2016, Number of sports at the Summer Olympic Games 1896-2016, All-time Summer Olympics medals table 1896-2016, U.S. Olympic team: all-time medal tally of Olympic Summer games 1896-2016, Share of Rio 2016 Olympics organizing committee revenue, Share of Rio 2016 Olympics organizing committee expenses, Summer Olympic Games broadcast revenue 1960-2016, Olympic Games - total number of TOP sponsorship partners 2016, Olympic Summer Games: tickets available and sold 2016, Ticket prices for Rio 2016 Olympics opening and closing ceremony, Global TV audience Olympic Summer Games 2008-2016, Olympic Summer Games: total number of host broadcast feed hours 1998-2016, Global viewership of Olympic Games: average minute rating 2008. Repo for the first course of the Applied Data Science with Python Specialization taught by University of Michigan hosted by Coursera - irJERAD/Intro-to-Data-Science-in-Python So we have 33 records (with repetitions, for example ‘Marion Jones (-Farquhar)’ won a medal both for Tennis Women’s Singles and Tennis Mixed Doubles – To be sure I cross-checked also with Wikipedia and the outcome seems correct). In celebration of this yearâs competition, here is a look at some of our favorite maps and visualizations from the past two weeks: Google Trends is Googleâs public web interface for exploring their search data. (August 22, 2016). Today, we will explore a dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016. $39 per month* Generally, the age distribution starts has a lower minimum and a lower maximum; In 1904 the age distribution is strongly different from the other Olympics: let’s know more about this point: For both men and women, the height is incrementing over time but it is decreasing between the 2012 and the 2016. On Friday, February 9th, the 2018 Winter Olympic Games kicked off in Pyeongchang, South Korea. Using only the rows that has a value in the Height and Weight columns; Replace the value with the mean of the column. chefs for team Norway ordering 15,000 eggs due to a typo, dramatic finish in the 200 meter freestyle race, Telegraph took the opportunity to map medal winners, Google Search Trends: Pyeongchang Olympics 2018, Medals Per Capita: Olympic Glory in Proportion, Augmented Reality to show the complexity and rigor of Olympic Events, Map of the Month: Pi Project - Connecting the World Through Art, Location Intelligence apps take flight with Airship, The Mobile SDK Powers a Popular Traffic Jam Navigation App in Japan. With his Medals Per Capita page, Craig Nevill-Manning aims to do just that. But which disciplines allows you to land a gold medal after your fifties? 15 of the top 20 Olympic teams came from the USA and Russia. Also, men weight data from 1924 seems missing: let’s check. 2016âs Summer Olympic games in Rio de Janeiro proffered a number of insightful data stories, maps, infographics, and visualizations. But which are the most awarded disciplines of American Athletes? We have exceptions and I am willing to know more! Okay, the string to use to filter is ‘Gymnastics’: let’s create two new dataframes for men and women. Done, let’s check the head of one of the new dataframes to see the result: Okay, at this time we are ready to create the plots. The data set consists of the following fields: "Olympic Summer Games medal table (total medals won) from 1896 to 2016." One thing is certain, that these techniques will continue to grow, yielding more powerful and insightful stories from Tokyo 2020 and beyond. The first one is for men, the second for women: What I immediately saw is that for women: On the other hand, the grow for men seems less strong: What is strange for me is the age of some athletes in the games between the 1924 and the 1948: let’s check all the people with age greater than 80.