Domo’s Post

#30daysgrowthchallenge Day 23 DATA ANALYSIS IN TENNIS First off, do you know there are data analysts that work with tennis players? Yes, there are! What do they do? They use analytics to provide strategic advantages for the team How do they do this? They collect tons of statistical and non-numeric data like videos, images etc to study ball points over a timeframe to recommend a winning advantage. This might look like an easy task but I assure you that it isn’t. Tens and even hundreds of hours of video footage from each player will be reviewed across different metrics to produce a recommendation. To put this more vividly, an example is the USA Team of professional tennis players, where there is a post game analysis taking into consideration every ball start and stop for each individual player after which insights are delivered within 24hours afterplay. #Dataintennis #Data

I’m thrilled to share that I’ve just published my first dataset on Kaggle! 🎉 𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄: I’ve compiled detailed medal counts for the Paris 2024 Olympic Games, including data on gold, silver, and bronze medals for each participating team(countries or regions), along with their total medal counts and rankings. 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: ● Columns for Team, Gold, Silver, Bronze, Total, and Rank ● Data sourced from the official Olympic website ● Structured in a user-friendly tabular format For those interested in sports and data analytics, data visualization, or Olympic statistics, this dataset offers a great opportunity to explore and analyze the latest medal counts from the Paris 2024 Games. #DataScience #Kaggle #Olympics2024 #DataAnalytics #SportsAnalytics #DataVisualization

The Summer Olympic Games are just around the corner 🤩🔥! Want to see the Olympics through data? 📊 I’ve created a dashboard based on a Kaggle dataset, visualizing trends in the Games from 1896-2020. I would be grateful if you could review this and share your thoughts. 🙏🏻 The Olympic Games are more than just a sporting event; they are a symbol of unity and peace between nations. The Olympic flag, with its five interlocking rings, represents the five continents of the world united in a spirit of friendship and cooperation. 🫱🏻🫲🏼 Get ready for: • Thrilling competitions across 32 sports, from swimming and gymnastics to basketball and volleyball. 🤸🏻♀️ • Athletes from over 200 countries pushing their limits and inspiring us all. • A celebration of diversity, culture, and the Olympic spirit. Here is the link for interactive dashboard: https://lnkd.in/dR9tME6c #Paris2024 #OlympicGames #PowerBI #Dashboard #Kaggle #DataScience #DataAnalysis

Predicting what happens next in a tennis point. 🎾 Our latest #AI-powered model utilises millions of granular XY data points to give insight into how 𝑝𝑟𝑒𝑑𝑖𝑐𝑡𝑎𝑏𝑙𝑒 a player is in any given situation and anticipate the zone their next shot may land in. Get an in-depth look at how the feature fits into our completely integrated prediction ecosystem ➡️ https://bit.ly/3UAh5C9

I created an insightful dashboard on Power BI with data obtained via kaggle named- 120 years of Olympic history dataset. The goal is to incorporate various advanced visualizations while using key visualization principles such as cognitive load reduction, pre-attentive attributes, Stolk's Laws, and Tufte's Principles: Results: Country Dominance: Countries like the USA and Russia show dominance across multiple sports over time, especially in athletics and swimming. Gender Trends: Female participation has steadily increased since the 1970s, especially in events like swimming and gymnastics. Top Athletes: Athletes like Michael Phelps show a significant Gold medal count, whereas others have a more balanced spread across medal types.

Ever wondered how you can use a knowledge graph to predict the outcome of a #tennis 🎾tournament? 🔮 Let me share my experience analyzing data from the French Open Roland Garros.⬇️ Lately, I've been following the French Open Roland Garros with more interest than ever before. Perhaps it's because it marks the end of an era with Nadal, Djokovic getting older, and Federer no longer playing 👴🏼. When I learned that Djokovic had abandoned the tournament, I was disappointed and curious about how the tournament would unfold. As a lover of statistics and sports, I decided to explore open data sources and found a GitHub repository that contained the data I needed and I used my data and AI skills to transform it into a knowledge graph: ➡️ Step 1: I used an LLM to create an ontology based on the data dictionary ➡️ Step 2: I transformed the ontology into cypher queries ➡️ Step 3: I loaded everything into Neo4j and built a Streamlit app to analyze it! Tadada - Bookmakers, are you ready?? ✨ One of the insights I gained was that Casper Ruud, a player with a strong clay court record, could be a potential favorite to win the tournament. 🥇 Ruud has won the most games on clay surfaces this year, and he hasn't played as many minutes as some of his opponents. This led me to believe that he would be in good shape for the tournament. Knowledge Graph itself DOES NOT predict the future but provide you trusted data to help you make your own decision. I also really loved to ask many questions without having to apply the filters I used in previous data analyses… 🙃 Imagine being able to ask valuable questions and gain insights from your company's data in real-time. This could help you make quick decisions and stay ahead of the competition.🎯💵 If you're interested in learning more about #knowledgegraphs and how they can be used for decision-making, I encourage you to DM me. If you're curious to dig more on the tennis data, here is the repository I used: https://lnkd.in/di35hTVg.

Applications open for Omdena Local Chapter Challenge: Machine Learning Meets UEFA EURO 2024 🚀 📅 Start Date: June 4, 2024 | in 25 days As UEFA EURO 2024 approaches, we are excited to launch a cutting-edge project at Omdena that leverages machine learning and comprehensive open datasets to transform sports analytics and assess the economic impact on tourism. Project Goals: - Analytical Insights: Dive deep into the playing styles, strengths, and weaknesses of teams using historical and real-time data. - Tourism Analysis: Explore the effects of EURO 2024 on tourism by analyzing data from host cities to gauge their appeal and readiness. - Data Mastery: Showcase how advanced analytics can interpret vast datasets, providing actionable insights to stakeholders in both sports and economic sectors. Be Part of the Future of Sports Analytics: This is your chance to gain hands-on experience with real-world data and state-of-the-art machine learning techniques in an exciting and dynamic field. 🔗 Learn More & Join Us: https://lnkd.in/gaFJ-AJX #UEFAEURO2024 #SportsAnalytics #MachineLearning #DataScience #OpenData #AI #Football #SoccerAnalytics #TourismImpact #Omdena

Custom pre-match content, analysis of recent performance of specific players and likelihood to win predictions, post-match statistics and highlights with #watsonx and Granite models #AI #Wimbledon, a great example of GenAI at work

Get generative personalized insights on your favorite players throughout the tournament! Experience "Catch me up" here: https://lnkd.in/d6BA95z8 #wimbledon #ai #ibm #watsonx #generativeai

It's the Olympics for this week's #TidyTuesday From 1896 to 2016, there have been more U.S. male athletes named John than U.S. female athletes in any single sport, except athletics Code: https://lnkd.in/dwqypQf3 #RStats #dataviz #ggplot2