This document discusses visualizing tip data and relationships between various factors. It analyzes the relationship between tip amounts and factors like day, time, gender, total bill, smoking status, and group size. Key findings are that Saturdays earn the most in tips, dinner is busiest on Saturdays, and male non-smokers tend to leave higher tips on average. Group size was found to have little relationship with tip amounts.

1. Data visualization for
tips dataset
Kiran kumari
V.Vyshnavi

2. Relationship between day , time and tip

3. Relationship between tip and days

4. Relationship between tip and gender

5. Relationship between total bill and tip

6. Relationship between day, total bill and gender

7. Relationship between smoker, gender and tip

8. Relationship between size and tip

9. Relationship between total bill and time

10. Recommendations
 Out of four days Saturday is a more earning day.
 At the time of dinner more customers are coming on Saturdays.
 Male and non-smokers are the main source of income.
 Size of the members coming is irrelevant.