Badminton Racket Restringing Analysis

📌 Project Overview

This project explores trends in badminton racket and string preferences, analyzing string tension distributions and detecting outliers.

📊 Quantitative Analysis

• Most popular rackets and strings
• Average string tension per racket
• Outlier detection using IQR method
• Visualizations of tension distribution

🔑 Key Takeaways

• AX88D Pro (including the 3rd Gen) is the most popular because it is marketed as one of the best doubles head-heavy rackets.
• Most players prefer BG66UM because it is a high repulsion string. High repulsion means power in exchange for durability. The string is very thin as a result and pop quicker than most strings, especially strung at max recommended tension.
• Based on the data, most players that I have strung for prefer the 28-29 tension.

📈 Boxplot

• Line inside box means median string tension
• IQR Box
  • Box itself represents the middle 50% of the data (between Q1 and Q3)
  • shorter box means most tensions are more clustered
• Whiskers (lines extending from the box)
  • Whiskers indicate the range of non-outliers
  • They usually extend to 1.5 times the IQR
• Outliers
  • the Dots outside the whiskers are considered outliers (ex. 22, 23, 24, 25, 30 lbs)
  • Represents uncommon stringing preferences (extreme high or low tensions)
  • These outliers are more unique customer preferences

📁 Project Structure

• data/: Contains raw datasets used for the analysis.
• notebooks/: Jupyter Notebooks where the exploratory data analysis (EDA) and other analyses are performed.
• scripts/: Python scripts for running data analysis, cleaning, and other tasks.
• images/: Folder to store visualizations created during analysis.
• README.md: Documentation file to describe the project, setup, and usage.
• requirements.txt: Lists the Python packages required to run the project

📈 Results

Most Popular Rackets

Most Popular Strings

String Tension Distribution

Boxplot

Output

Unique Players: 36 Unique Rackets: 30 Unique Strings: 13

Top Rackets:
Racket
AX88D Pro 45
AX88D 36
AX100ZZ 26
Arc 11 Pro 20
NF800 Pro 18
AX88D Pro 10
NF800 10
Assorted 10
Z Strike 8
AX77 Pro 8
Name: count, dtype: int64

Top Strings:
String
BG66U 73
NBG95 56
BG65Ti 37
BG80 19
Gosen 17
BG65 8
NBG98 7
Exbolt65 5
Ex65 4
AB 3
Name: count, dtype: int64

Average Tension by Racket:
Racket
Ryuga II 29.000000
Z Strike 28.875000
AX100ZZ 28.423077
AX77 Pro 28.375000
AX99 Pro 28.200000
AX88D 28.027778
Vanguard 11 28.000000
Drive9X 28.000000
NR800 28.000000
V11 28.000000
Name: Tension, dtype: float64

🔧 Installation

To run this project locally:

git clone https://github.com/yourusername/badminton-analysis.git
cd badminton-analysis
pip install -r requirements.txt
jupyter notebook