🞅Dataset Source & Link
▢The dataset used in this project contains detailed statistics of football players, including both categorical and numerical variables. It was sourced from Kaggle - FIFA 21 Complete Player Dataset, which is a publicly available and trusted platform for data.
▢The dataset contains over 15,000 rows and more than 100 columns, out of which we selected at least 5 relevant columns — including player positions, nationality, overall rating, age, and value — for our statistical analysis.
⊡DATASET LINK (click the logo)
The dataset used for this project is sourced from Kaggle - FIFA 21 Complete Player Dataset.
It includes data from FIFA 21, covering more than 100,000 player records across multiple years. This dataset includes a variety of attributes like name, nationality, age, club, player position, height, weight, and performance stats.
The dataset contains:
Categorical variables like: Nationality, Club, Position, Preferred Foot
Numerical variables like: Age, Height, Weight, Overall, Potential
This dataset allows us to perform statistical exploration using both categorical and numerical data — ideal for foundational analysis
⚝ Categorical variables are those that represent groups or categories, such as Position, Nationality, and Preferred Foot.
⚝ Numerical variables represent measurable quantities like Age, Weight, and Height.
⚝ Variables like Age and Overall are discrete, as they are counted in whole numbers.
⚝ Height and Weight are continuous, since they can take any value in a range.
⚝ All numerical variables in this dataset follow the ratio scale, as they have a true zero point and measurable intervals.