[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.Join our workshop on Frame-by-Frame Modeling and Validation of NFL geospatial data using gganimate in R, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Frame-by-Frame Modeling and Validation of NFL geospatial data using gganimate in RDate: Thursday, March 27th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)Speaker: Pablo L. Landeras has an Applied Mathematics BsC from ITAM (Mexico City). His background as both an athlete and an analyst has shaped his approach to sports research, blending firsthand experience with cutting-edge data science to drive innovation. Today, he is a Data Scientist at Zelus Analytics, where he specializes in R&D in both ice hockey and basketball. His career has spanned a variety of projects—from public health initiatives to data-driven scouting for soccer teams like FC Toluca. Before joining Zelus, he worked as a Data Scientist at Coca-Cola.Description: This talk will explore the validation and visualization of spatio-temporal data in sports, focusing on the NFL tracking dataset and the application of frame-by-frame modeling. After a brief introduction to spatio-temporal data and its significance, we’ll highlight common errors in tracking datasets, such as missing data and implausible trajectories, emphasizing the importance of validation. The session will delve into the capabilities of gganimate, showcasing how it transforms static plots into dynamic animations to validate data and enhance storytelling. We’ll provide an overview of the NFL tracking dataset, its structure, and key challenges like data noise and synchronization issues. Through step-by-step examples, participants will learn to build animations that visualize player movements, pass probabilities, and pass rush models, while using techniques to identify anomalies and combine multiple data sources.Minimal registration fee: 20 euro (or 20 USD or 800 UAH)Please note that the registration confirmation is sent 1 day before the workshop to all registered participants rather than immediately after registrationHow can I register?Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.How can I sponsor a student?Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).You can also find more information about this workshop series, a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.Looking forward to seeing you during the workshop! Frame-by-Frame Modeling and Validation of NFL geospatial data using gganimate in R workshop was first posted on February 27, 2025 at 3:51 pm.To leave a comment for the author, please follow the link and comment on their blog: R-posts.com.R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. 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