AP-Java

Data Source

Dataset: Restaurant Tips Dataset Author: Saurabh Badole Kaggle Link: https://www.kaggle.com/datasets/saurabhbadole/restaurant-tips-dataset Focus: Analyzing Factors Influencing Tips in a Restaurant Setting

License and Usage Rights

This dataset is available publicly on Kaggle for educational and research purposes as well as data science analysis projects. Since it's hosted on Kaggle's public platform, it is appropriate for academic coursework like AP Java projects.

What Each Row Represents

Each row in the dataset represents one restaurant dining transaction

Column Headers/Representation

Column Name	Data Type	Description
total_bill	Numerical	Total bill amount in dollars
tip	Numerical	Tip amount given in dollars
sex	Categorical	Customer gender
day	Categorical	Day of the week
time	Categorical	Time of day (Lunch/Dinner)
size	Numerical	Party size (number of people)

Java Class Design

To store each record as an object, I would design a RestaurantTip class with the following fields:

CSV Column	Java Field	Data Type	Reasoning
total_bill	totalBill	double	Money values need decimal precision
tip	tipAmount	double	Money values need decimal precision
sex	customerGender	String	Text data (Male/Female)
day	dayOfWeek	String	Text data (Sun, Mon, etc.)
time	mealTime	String	Text data (Lunch/Dinner)
size	partySize	int	Whole number of people

UML Class Diagram

┌─────────────────────────────────────┐
│           RestaurantTip             │
├─────────────────────────────────────┤
│ - totalBill: double                 │
│ - tipAmount: double                 │
│ - customerGender: String            │
│ - dayOfWeek: String                 │
│ - mealTime: String                  │
│ - partySize: int                    │
├─────────────────────────────────────┤
│ + RestaurantTip()                   │
│ + RestaurantTip(params...)          │
│ + getTotalBill(): double            │
│ + getTipAmount(): double            │
│ + getCustomerGender(): String       │
│ + getDayOfWeek(): String            │
│ + getMealTime(): String             │
│ + getPartySize(): int               │
│ + getTipPercentage(): double        │
│ + getTipPerPerson(): double         │
│ + toString(): String                │
│ + [all setters and standard methods]│
└─────────────────────────────────────┘

Project Structure

restaurant-tips-analysis/
├── README.md
├── data/
│   └── tips.csv
├── src/
│   ├── RestaurantTip.java
│   ├── DataAnalyzer.java
│   └── Main.java
└── docs/
    └── analysis-results.md

Analysis

Column 1: total_bill Total Records Processed: 244

Minimum Value: 3.07 Maximum Value: 50.81 Average Value: 19.79 Range: 47.74 This is notable because $50.81 is not a high total bill considering the party sizes range up to 6 people. This value corresponds to a 3 person party, which is reasonable. I was surprised to find out the 6 person party spent less though.

Column 2: tip Total Records Processed: 244

Minimum Value: 1.00 Maximum Value: 10.00 Average Value: 3.00 Range: 9.00 This is notable as the tip range is pretty high, and the average value is closer to the lower end. This makes me think about what made the outlier want to tip $10.00.

Citation

Badole, S. Restaurant Tips Dataset. Kaggle. 
https://www.kaggle.com/datasets/saurabhbadole/restaurant-tips-dataset