The “Tips” dataset is a classic dataset used in data analysis and visualization exercises. It contains information about the total bill, tip amount, and other attributes related to restaurant tips. This dataset is frequently used for teaching exploratory data analysis (EDA), statistical techniques, and data visualization.
Key Features of the Tips Dataset:
- Total Bill: The total amount of the bill for a meal.
- Tip: The amount of tip left by the customer.
- Sex: The gender of the person paying the bill (Male/Female).
- Smoker: Whether the person was a smoker or not (Yes/No).
- Day: The day of the week when the meal was served (e.g., Thursday, Friday, etc.).
- Time: The time of the meal (Lunch/Dinner).
- Size: The size of the group (number of people).
Example Use Cases:
- Understanding the relationship between tips and total bill.
- Analyzing tipping behavior based on gender, smoking status, or meal time.
- Visualizing trends using bar charts, scatter plots, or box plots.
The “Tips” dataset is commonly found in Python libraries like Seaborn and is ideal for beginners learning data analysis and visualization.