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Athlete Monitoring: Data Analysis and Visualization – Nominal Rolling functions
By Mladen Jovanovic on 22/01/2021In this lecture, I continue with the solution to the problem of dealing with nominal variables using rolling functions. The presented solution is to use dummy coding and aggregating session using means, which gives us rolling proportions.
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Mladenverse: Collection of R Packages
By Mladen Jovanovic on 18/01/20212020 was a tough year for many. I took the lockdown as an opportunity to finish some old projects, start new ones, and learn new skills.
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Athlete Monitoring: Data Analysis and Visualization – Rolling Functions
By Mladen Jovanovic on 15/01/2021Rolling functions are useful in describing trends over time. These can be any type of descriptive functions, like means, medians, standard deviations, and so forth.
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Athlete Monitoring: Data Analysis and Visualization – Aggregation
By Mladen Jovanovic on 08/01/2021In this lecture, I explain the basics of data aggregation and a few issues that you might stumble upon, as well as their solution.
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Athlete Monitoring: Data Analysis and Visualization – Tags
By Mladen Jovanovic on 25/12/2020Tags are simple descriptors that can help you in your analysis, and can also potentially expand the number of questions you can answer. In this video, I will introduce session descriptors (i.e., type, location, attendance) and athlete descriptors (i.e., health status, training status).
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Strength Card Builder v5.1 is Here!
By Mladen Jovanovic on 15/12/2020Strength Card Builder v5.1 is finally here! This new version features an EXPANSION PACK that allows you to add exercise images to your workout cards.
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Athlete Monitoring: Data Analysis and Visualization – Missing data
By Mladen Jovanovic on 10/12/2020Athlete Monitoring: Data Analysis and Visualization Missing Data In real-life, missing data are the norm. Unfortunately, not all missing data should be treated the same. It is of utmost importance to understand the types of missing data, but more importantly to understand the process behind the data collection as well as context. In this lecture, I will explain the...
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Athlete Monitoring: Data Analysis and Visualization – Foundation
By Mladen Jovanovic on 04/12/2020In this module, we are going to cover foundational topics that are needed to progress this course to more practical data wrangling, analysis and visualization.
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Athlete Monitoring: Data Analysis and Visualization – Scale Types
By Mladen Jovanovic on 04/12/2020Athlete Monitoring: Data Analysis and Visualization Scale Types In this video, I will be refreshing your elementary statistical knowledge regarding the type of scales used in data analysis. These involve the following: In this module we are going to cover the following topics: Nominal Ordinal Interval Ratio In sports science, we tend to see interval/ratio scale the most, but...
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Athlete Monitoring: Data Analysis and Visualization – Data Formats
By Mladen Jovanovic on 04/12/2020Athlete Monitoring: Data Analysis and Visualization Data Formats When I started my sports science journey, I wish someone explain to me the difference between wide and long data formats, as well as their pros and cons. In this video, I will explain the aforementioned data formats using morning wellness and training load data sets. I will also scratch the...