Streamlit is used to deploy a data apps. It is an open source Python library that will help visualize the data.
Demonstration Video
Figure above shows a menu for basketball analysis. By using the slider, we can predict the player position. For BLK the range are between 0 to 20, FG TOT ATT is 0 to 200, STL is 0 to 50, REB is 0 to 150 and finally for MADE slider the range is between 0 until 25.
The player position prediction is Offensive when it is high in making field goal (FG_ATT), rebound (REB) and also Made. This is because these attributes indicate that this is a characteristic of the attacker, therefore when a player has a high number of those attributes, they are Offensive.
The player position prediction is Defensive when it is high in making blocking (BLK) and stealing (STL). This is because these attributes indicate that this is a characteristic of the defensive, therefore when a player has a high number of those attributes, they are Defensive.