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license: mit |
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--- |
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# Dataset Card for Clustered Football (FIFA - 2019) Dataset |
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<!-- Provide a quick summary of the dataset. --> |
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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). |
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## Dataset Details |
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This Dataset is already cleaned, processed and clustered. This also contains all Information of players who participated in the FIFA-2019 League. |
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### Dataset Description |
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This Dataset consists of all the parameters, by which a Player's ability can be measured |
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some of the parameters included in the dataset are, |
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Age: Age of Player |
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Skill Moves: Describes various skill set of the player |
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Work Rate: Work rate of player |
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Body Type: Body type of player (like High, lean, Courtois, moderate) |
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joined year: Joining year of player |
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Agility: Agility of player (numerical values) |
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SprintSpeed: Sprinting Speed of player |
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Reactions: Reaction on the Numerical Scale |
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This Dataset can be used for Supervised as well as Unsupervised tasks. |
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### Dataset Sources [optional] |
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<!-- Provide the basic links for the dataset. --> |
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- **Repository:** https://www.kaggle.com/datasets/devansodariya/football-fifa-2019-dataset?select=FIFA_Processed_Data.csv |
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