Damian Lillard PPG - Day of the Week Analysis

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Contact Information

Rob Savage

rob.savage@me.com

LinkedIn

Tableau Public

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Project Description

The purpose of this project was to take a quick look into Damian Lillard's career Points Per Game statistics through the 2020 season to see if he was more efficient on a certain day of the week.

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Tools Used

1. Python (Data Aggregation/Cleaning)

   • Pandas Library

2. NumPy (Calculations)

3. Github (Publishing of Results and Analysis)

4. Jupyter Notebook

5. Seaborn (Visualizations)

6. Matplotlib (Visualizations)

7. Glob (Mass File Merging)

8. basketball_reference_web_scraper (Module to Scrape Data from Basketball-Reference.com)

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Data Source

https://www.basketball-reference.com/

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Steps

1. Used basketball_reference_web_scraper to pull Damian Lillard's seasonal box scores into individual CSVs

2. Used glob to merge all of the CSVs into one data frame

3. Used Pandas datetime feature to read the date column and append a new column that specified the day of the week

4. Used a groupby on the day of the week to calculate a count on the games and a mean on the points_scored

5. Once the new data frame was created, Seaborn and Matplotlib were employed to create the visualization

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Analysis

Unsurprisingly, Damian Lillard is incredibly consistent on each day of the week with Friday being his most proficient by a slim margin. I felt this was a fun intro to my personal projects utilizing a module that had never used before. Much more complex personal projects will follow.