Introduction to Data Science for Football, The utilization of data in football (or soccer) has become very important to develop player skills or match analysis.
The utilization of data in football (or soccer) has become very important to develop player skills or match analysis. Today, we can discuss the world of football in greater depth and detail than in the previous period. For those of you who are starting to explore data analytics in football, there are public data sets provided by third parties such as Wyscout and Opta. The dataset contains football match events (e.g., Players and matches statistics). We can explore the data as an effort to understand football data more deeply. In this section, we will examine the variables in conducting football analysis.
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How to use graphs effectively while working on Analytical problems. Data visualization is the process of creating interactive visuals to understand trends, variations, and derive meaningful insights from the data. Data visualization is used mainly for data checking and cleaning, exploration and discovery, and communicating results to business stakeholders.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.