File size: 1,323 Bytes
53758e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | ---
license: mit
---
# 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
|