kylearbide/pga_tour_analysis

This Project is a PGA Tour Analysis

PGA Tour Analysis

This project takes players statistics and PGA result data to perform an exploratory analysis and create a prediction model.

The code sheets in this repository represent the following steps:

API PULL AND DATA WRANGLING

• Player Statistics are Imported from a kaggle dataset and formatted
• Player Tournament Results are pulled from SportData.io API, result are given by hole
• By hole results are transformed to create round summaries for each round played
• Edge cases like incomplete rounds, missed tournaments, or missed cuts are identified
• Player names are organized between dataframes through a primary key

EXPLORATORY ANALYSIS

• Created Exploratory Charts based on the By Hole Data
• Created Exploratory Charts based on the By Round Data
• Calculated Average Par 3, 4, and 5 score for each player
• Created Player Comparison Visuals based on both results (Dendrogram) and statistics (Spider Plot)

PREDICTION MODEL

• An Attempt to predict results based on player statistics
• Created models with the following dependent variables: Round Score (all tournaments), Tournament Score (all tournaments), Tournament Score (specific tournament)
• Specific tournaments were predicted most accuratley using regression, how ever lack of data hurts the model

Future Steps for the Project Include:

• Web Scraping to collect a more data from one tournament
• Acquiring more player statistics to increase the field
• Fitting new models to the new data