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license: mit
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# Dataset Card for Clustered Football (FIFA - 2019) Dataset

<!-- Provide a quick summary of the dataset. -->

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details
This Dataset is already cleaned, processed and clustered. This also contains all Information of players who participated in the FIFA-2019 League. 
### Dataset Description

This Dataset consists of all the parameters, by which a Player's ability can be measured
some of the parameters included in the dataset are,

Age: Age of Player

Skill Moves: Describes various skill set of the player

Work Rate: Work rate of player

Body Type: Body type of player (like High, lean, Courtois, moderate)

joined year: Joining year of player

Agility: Agility of player (numerical values)

SprintSpeed: Sprinting Speed of player

Reactions: Reaction on the Numerical Scale

This Dataset can be used for Supervised as well as Unsupervised tasks.

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** https://www.kaggle.com/datasets/devansodariya/football-fifa-2019-dataset?select=FIFA_Processed_Data.csv