Project4

Description

This is a project aming to build a tool for data engineering with AWS SageMaker. The dataset is information of NBA players from 1996 to 2021 season.

Steps

Clean the data and upload it to AWS S3.
Use AWS SageMaker to process the data.

Columns of the dataset

player_name team_abbreviation age player_height player_weight college country draft_year draft_round draft_number gp pts reb ast net_rating oreb_pct dreb_pct usg_pct ts_pct ast_pct season

player_name: Name of the player
team_abbreviation: Abbreviated name of the team the player played for (at the end of the season)
age: Age of the player
player_height: Height of the player (in centimeters)
player_weight: Weight of the player (in kilograms)
college: Name of the college the player attended
country: Name of the country the player was born in (not necessarily the nationality)
draft_year: The year the player was drafted
draft_round: The round the player was drafted
draft_number: The number at which the player was picked in his draft round
gp: Games played throughout the season
pts: Average number of points scored
reb: Average number of rebounds grabbed
ast: Average number of assists distributed
net_rating: Team's point differential per 100 possessions while the player is on the court
oreb_pct: Percentage of available offensive rebounds the player grabbed while he was on the floor
dreb_pct: Percentage of available defensive rebounds the player grabbed while he was on the floor
usg_pct: Percentage of team plays used by the player while he was on the floor
ts_pct: Measure of the player's shooting efficiency that takes into account free throws, 2 and 3 point shots
ast_pct: Percentage of teammate field goals the player assisted while he was on the floor
season: NBA season