Datasets:

scikit-learn
/

tips

Modalities:

Tabular

Text

Formats:

Size:

Libraries:

Dataset card Viewer Files Files and versions Community

Dataset Viewer

Auto-converted to Parquet

Full Screen Viewer

Full Screen

Split (1)

train · 244 rows

total_bill float64 3.07 50.8	tip float64 1 10	sex stringclasses 2 values	smoker stringclasses 2 values	day stringclasses 4 values	time stringclasses 2 values	size int64 1 6
16.99	1.01	Female	No	Sun	Dinner	2
10.34	1.66	Male	No	Sun	Dinner	3
21.01	3.5	Male	No	Sun	Dinner	3
23.68	3.31	Male	No	Sun	Dinner	2
24.59	3.61	Female	No	Sun	Dinner	4
25.29	4.71	Male	No	Sun	Dinner	4
8.77	2	Male	No	Sun	Dinner	2
26.88	3.12	Male	No	Sun	Dinner	4
15.04	1.96	Male	No	Sun	Dinner	2
14.78	3.23	Male	No	Sun	Dinner	2
10.27	1.71	Male	No	Sun	Dinner	2
35.26	5	Female	No	Sun	Dinner	4
15.42	1.57	Male	No	Sun	Dinner	2
18.43	3	Male	No	Sun	Dinner	4
14.83	3.02	Female	No	Sun	Dinner	2
21.58	3.92	Male	No	Sun	Dinner	2
10.33	1.67	Female	No	Sun	Dinner	3
16.29	3.71	Male	No	Sun	Dinner	3
16.97	3.5	Female	No	Sun	Dinner	3
20.65	3.35	Male	No	Sat	Dinner	3
17.92	4.08	Male	No	Sat	Dinner	2
20.29	2.75	Female	No	Sat	Dinner	2
15.77	2.23	Female	No	Sat	Dinner	2
39.42	7.58	Male	No	Sat	Dinner	4
19.82	3.18	Male	No	Sat	Dinner	2
17.81	2.34	Male	No	Sat	Dinner	4
13.37	2	Male	No	Sat	Dinner	2
12.69	2	Male	No	Sat	Dinner	2
21.7	4.3	Male	No	Sat	Dinner	2
19.65	3	Female	No	Sat	Dinner	2
9.55	1.45	Male	No	Sat	Dinner	2
18.35	2.5	Male	No	Sat	Dinner	4
15.06	3	Female	No	Sat	Dinner	2
20.69	2.45	Female	No	Sat	Dinner	4
17.78	3.27	Male	No	Sat	Dinner	2
24.06	3.6	Male	No	Sat	Dinner	3
16.31	2	Male	No	Sat	Dinner	3
16.93	3.07	Female	No	Sat	Dinner	3
18.69	2.31	Male	No	Sat	Dinner	3
31.27	5	Male	No	Sat	Dinner	3
16.04	2.24	Male	No	Sat	Dinner	3
17.46	2.54	Male	No	Sun	Dinner	2
13.94	3.06	Male	No	Sun	Dinner	2
9.68	1.32	Male	No	Sun	Dinner	2
30.4	5.6	Male	No	Sun	Dinner	4
18.29	3	Male	No	Sun	Dinner	2
22.23	5	Male	No	Sun	Dinner	2
32.4	6	Male	No	Sun	Dinner	4
28.55	2.05	Male	No	Sun	Dinner	3
18.04	3	Male	No	Sun	Dinner	2
12.54	2.5	Male	No	Sun	Dinner	2
10.29	2.6	Female	No	Sun	Dinner	2
34.81	5.2	Female	No	Sun	Dinner	4
9.94	1.56	Male	No	Sun	Dinner	2
25.56	4.34	Male	No	Sun	Dinner	4
19.49	3.51	Male	No	Sun	Dinner	2
38.01	3	Male	Yes	Sat	Dinner	4
26.41	1.5	Female	No	Sat	Dinner	2
11.24	1.76	Male	Yes	Sat	Dinner	2
48.27	6.73	Male	No	Sat	Dinner	4
20.29	3.21	Male	Yes	Sat	Dinner	2
13.81	2	Male	Yes	Sat	Dinner	2
11.02	1.98	Male	Yes	Sat	Dinner	2
18.29	3.76	Male	Yes	Sat	Dinner	4
17.59	2.64	Male	No	Sat	Dinner	3
20.08	3.15	Male	No	Sat	Dinner	3
16.45	2.47	Female	No	Sat	Dinner	2
3.07	1	Female	Yes	Sat	Dinner	1
20.23	2.01	Male	No	Sat	Dinner	2
15.01	2.09	Male	Yes	Sat	Dinner	2
12.02	1.97	Male	No	Sat	Dinner	2
17.07	3	Female	No	Sat	Dinner	3
26.86	3.14	Female	Yes	Sat	Dinner	2
25.28	5	Female	Yes	Sat	Dinner	2
14.73	2.2	Female	No	Sat	Dinner	2
10.51	1.25	Male	No	Sat	Dinner	2
17.92	3.08	Male	Yes	Sat	Dinner	2
27.2	4	Male	No	Thur	Lunch	4
22.76	3	Male	No	Thur	Lunch	2
17.29	2.71	Male	No	Thur	Lunch	2
19.44	3	Male	Yes	Thur	Lunch	2
16.66	3.4	Male	No	Thur	Lunch	2
10.07	1.83	Female	No	Thur	Lunch	1
32.68	5	Male	Yes	Thur	Lunch	2
15.98	2.03	Male	No	Thur	Lunch	2
34.83	5.17	Female	No	Thur	Lunch	4
13.03	2	Male	No	Thur	Lunch	2
18.28	4	Male	No	Thur	Lunch	2
24.71	5.85	Male	No	Thur	Lunch	2
21.16	3	Male	No	Thur	Lunch	2
28.97	3	Male	Yes	Fri	Dinner	2
22.49	3.5	Male	No	Fri	Dinner	2
5.75	1	Female	Yes	Fri	Dinner	2
16.32	4.3	Female	Yes	Fri	Dinner	2
22.75	3.25	Female	No	Fri	Dinner	2
40.17	4.73	Male	Yes	Fri	Dinner	4
27.28	4	Male	Yes	Fri	Dinner	2
12.03	1.5	Male	Yes	Fri	Dinner	2
21.01	3	Male	Yes	Fri	Dinner	2
12.46	1.5	Male	No	Fri	Dinner	2

End of preview. Expand in Dataset Viewer.

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

A Waiter's Tips

The following description was retrieved from Kaggle page.

Food servers’ tips in restaurants may be influenced by many factors, including the nature of the restaurant, size of the party, and table locations in the restaurant. Restaurant managers need to know which factors matter when they assign tables to food servers. For the sake of staff morale, they usually want to avoid either the substance or the appearance of unfair treatment of the servers, for whom tips (at least in restaurants in the United States) are a major component of pay. In one restaurant, a food server recorded the following data on all cus- tomers they served during an interval of two and a half months in early 1990. The restaurant, located in a suburban shopping mall, was part of a national chain and served a varied menu. In observance of local law, the restaurant offered to seat in a non-smoking section to patrons who requested it. Each record includes a day and time, and taken together, they show the server’s work schedule.

Acknowledgements The data was reported in a collection of case studies for business statistics. Bryant, P. G. and Smith, M (1995) Practical Data Analysis: Case Studies in Business Statistics. Homewood, IL: Richard D. Irwin Publishing

The dataset is also available through the Python package Seaborn.

Downloads last month: 40

Edit dataset card

Size of downloaded dataset files:

7.94 kB

Size of the auto-converted Parquet files:

5.91 kB

Number of rows:

244

A Waiter's Tips

Space using scikit-learn/tips 1