vastorbit.machine_learning.vast.preprocessing.balance

vastorbit.machine_learning.vast.preprocessing.balance(name: str, input_relation: str, y: str, method: Literal['hybrid', 'over', 'under'] = 'hybrid', ratio: float = 0.5) → VastFrame

Creates a view with an equal distribution of the input data based on the response_column.

Parameters:

• name (str) – Name of the view.

• input_relation (str) – Relation used to create the new relation.

• y (str) – Response column.

• method (str, optional) –

  Method used to do the balancing.

  • hybrid:

    Performs over-sampling and under-sampling on different classes so that each class is equally represented.

  • over:

    Over-samples on all classes, except the most represented class, towards the most represented class’s cardinality.

  • under:

    Under-samples on all classes, except the least represented class, towards the least represented class’s cardinality.

• ratio (float, optional) – The desired ratio between the majority class and the minority class. This value has no effect when used with the ‘hybrid’ balance method.

Returns:

VastFrame of the created view.

Return type:

VastFrame

Examples

The following examples provide a basic understanding of usage. For more detailed examples, please refer to the Machine Learning or the Examples section on the website.

Load data for machine learning

We import vastorbit:

import vastorbit as vo

Hint

By assigning an alias to vastorbit, we mitigate the risk of code collisions with other libraries. This precaution is necessary because vastorbit uses commonly known function names like “average” and “median”, which can potentially lead to naming conflicts. The use of an alias ensures that the functions from vastorbit are used as intended without interfering with functions from other libraries.

For this example, we will use the Titanic dataset.

import vastorbit.datasets as vod

data = vod.load_titanic()

	123 pclass Integer	123 survived Integer	Abc name Varchar(164)	Abc sex Varchar(20)	123 age Double	123 sibsp Integer	123 parch Integer	Abc ticket Varchar(36)	123 fare Double	Abc cabin Varchar(30)	Abc embarked Varchar(20)	Abc boat Varchar(100)	123 body Integer	Abc home.dest Varchar(100)
1	3	1	McCormack, Mr. Thomas Joseph	male	[null]	0	0	367228	7.75	[null]	Q	[null]	[null]	[null]
2	3	1	McCoy, Miss. Agnes	female	[null]	2	0	367226	23.25	[null]	Q	16	[null]	[null]
3	3	1	McCoy, Miss. Alicia	female	[null]	2	0	367226	23.25	[null]	Q	16	[null]	[null]
4	3	1	McCoy, Mr. Bernard	male	[null]	2	0	367226	23.25	[null]	Q	16	[null]	[null]
5	3	1	McDermott, Miss. Brigdet Delia	female	[null]	0	0	330932	7.7875	[null]	Q	13	[null]	[null]
6	3	0	McEvoy, Mr. Michael	male	[null]	0	0	36568	15.5	[null]	Q	[null]	[null]	[null]
7	3	1	McGovern, Miss. Mary	female	[null]	0	0	330931	7.8792	[null]	Q	13	[null]	[null]
8	3	1	McGowan, Miss. Anna "Annie"	female	15.0	0	0	330923	8.0292	[null]	Q	[null]	[null]	[null]
9	3	0	McGowan, Miss. Katherine	female	35.0	0	0	9232	7.75	[null]	Q	[null]	[null]	[null]
10	3	0	McMahon, Mr. Martin	male	[null]	0	0	370372	7.75	[null]	Q	[null]	[null]	[null]
11	3	0	McNamee, Mr. Neal	male	24.0	1	0	376566	16.1	[null]	S	[null]	[null]	[null]
12	3	0	McNamee, Mrs. Neal (Eileen O'Leary)	female	19.0	1	0	376566	16.1	[null]	S	[null]	53	[null]
13	3	0	McNeill, Miss. Bridget	female	[null]	0	0	370368	7.75	[null]	Q	[null]	[null]	[null]
14	3	0	Meanwell, Miss. (Marion Ogden)	female	[null]	0	0	SOTON/O.Q. 392087	8.05	[null]	S	[null]	[null]	[null]
15	3	0	Meek, Mrs. Thomas (Annie Louise Rowley)	female	[null]	0	0	343095	8.05	[null]	S	[null]	[null]	[null]
16	3	0	Meo, Mr. Alfonzo	male	55.5	0	0	A.5. 11206	8.05	[null]	S	[null]	201	[null]
17	3	0	Mernagh, Mr. Robert	male	[null]	0	0	368703	7.75	[null]	Q	[null]	[null]	[null]
18	3	1	Midtsjo, Mr. Karl Albert	male	21.0	0	0	345501	7.775	[null]	S	15	[null]	[null]
19	3	0	Miles, Mr. Frank	male	[null]	0	0	359306	8.05	[null]	S	[null]	[null]	[null]
20	3	0	Mineff, Mr. Ivan	male	24.0	0	0	349233	7.8958	[null]	S	[null]	[null]	[null]
21	3	0	Minkoff, Mr. Lazar	male	21.0	0	0	349211	7.8958	[null]	S	[null]	[null]	[null]
22	3	0	Mionoff, Mr. Stoytcho	male	28.0	0	0	349207	7.8958	[null]	S	[null]	[null]	[null]
23	3	0	Mitkoff, Mr. Mito	male	[null]	0	0	349221	7.8958	[null]	S	[null]	[null]	[null]
24	3	1	Mockler, Miss. Helen Mary "Ellie"	female	[null]	0	0	330980	7.8792	[null]	Q	16	[null]	[null]
25	3	0	Moen, Mr. Sigurd Hansen	male	25.0	0	0	348123	7.65	F G73	S	[null]	309	[null]
26	3	1	Moor, Master. Meier	male	6.0	0	1	392096	12.475	E121	S	14	[null]	[null]
27	3	1	Moor, Mrs. (Beila)	female	27.0	0	1	392096	12.475	E121	S	14	[null]	[null]
28	3	0	Moore, Mr. Leonard Charles	male	[null]	0	0	A4. 54510	8.05	[null]	S	[null]	[null]	[null]
29	3	1	Moran, Miss. Bertha	female	[null]	1	0	371110	24.15	[null]	Q	16	[null]	[null]
30	3	0	Moran, Mr. Daniel J	male	[null]	1	0	371110	24.15	[null]	Q	[null]	[null]	[null]
31	3	0	Moran, Mr. James	male	[null]	0	0	330877	8.4583	[null]	Q	[null]	[null]	[null]
32	3	0	Morley, Mr. William	male	34.0	0	0	364506	8.05	[null]	S	[null]	[null]	[null]
33	3	0	Morrow, Mr. Thomas Rowan	male	[null]	0	0	372622	7.75	[null]	Q	[null]	[null]	[null]
34	3	1	Moss, Mr. Albert Johan	male	[null]	0	0	312991	7.775	[null]	S	B	[null]	[null]
35	3	1	Moubarek, Master. Gerios	male	[null]	1	1	2661	15.2458	[null]	C	C	[null]	[null]
36	3	1	Moubarek, Master. Halim Gonios ("William George")	male	[null]	1	1	2661	15.2458	[null]	C	C	[null]	[null]
37	3	1	Moubarek, Mrs. George (Omine "Amenia" Alexander)	female	[null]	0	2	2661	15.2458	[null]	C	C	[null]	[null]
38	3	1	Moussa, Mrs. (Mantoura Boulos)	female	[null]	0	0	2626	7.2292	[null]	C	[null]	[null]	[null]
39	3	0	Moutal, Mr. Rahamin Haim	male	[null]	0	0	374746	8.05	[null]	S	[null]	[null]	[null]
40	3	1	Mullens, Miss. Katherine "Katie"	female	[null]	0	0	35852	7.7333	[null]	Q	16	[null]	[null]
41	3	1	Mulvihill, Miss. Bertha E	female	24.0	0	0	382653	7.75	[null]	Q	15	[null]	[null]
42	3	0	Murdlin, Mr. Joseph	male	[null]	0	0	A./5. 3235	8.05	[null]	S	[null]	[null]	[null]
43	3	1	Murphy, Miss. Katherine "Kate"	female	[null]	1	0	367230	15.5	[null]	Q	16	[null]	[null]
44	3	1	Murphy, Miss. Margaret Jane	female	[null]	1	0	367230	15.5	[null]	Q	16	[null]	[null]
45	3	1	Murphy, Miss. Nora	female	[null]	0	0	36568	15.5	[null]	Q	16	[null]	[null]
46	3	0	Myhrman, Mr. Pehr Fabian Oliver Malkolm	male	18.0	0	0	347078	7.75	[null]	S	[null]	[null]	[null]
47	3	0	Naidenoff, Mr. Penko	male	22.0	0	0	349206	7.8958	[null]	S	[null]	[null]	[null]
48	3	1	Najib, Miss. Adele Kiamie "Jane"	female	15.0	0	0	2667	7.225	[null]	C	C	[null]	[null]
49	3	1	Nakid, Miss. Maria ("Mary")	female	1.0	0	2	2653	15.7417	[null]	C	C	[null]	[null]
50	3	1	Nakid, Mr. Sahid	male	20.0	1	1	2653	15.7417	[null]	C	C	[null]	[null]
51	3	1	Nakid, Mrs. Said (Waika "Mary" Mowad)	female	19.0	1	1	2653	15.7417	[null]	C	C	[null]	[null]
52	3	0	Nancarrow, Mr. William Henry	male	33.0	0	0	A./5. 3338	8.05	[null]	S	[null]	[null]	[null]
53	3	0	Nankoff, Mr. Minko	male	[null]	0	0	349218	7.8958	[null]	S	[null]	[null]	[null]
54	3	0	Nasr, Mr. Mustafa	male	[null]	0	0	2652	7.2292	[null]	C	[null]	[null]	[null]
55	3	0	Naughton, Miss. Hannah	female	[null]	0	0	365237	7.75	[null]	Q	[null]	[null]	[null]
56	3	0	Nenkoff, Mr. Christo	male	[null]	0	0	349234	7.8958	[null]	S	[null]	[null]	[null]
57	3	1	Nicola-Yarred, Master. Elias	male	12.0	1	0	2651	11.2417	[null]	C	C	[null]	[null]
58	3	1	Nicola-Yarred, Miss. Jamila	female	14.0	1	0	2651	11.2417	[null]	C	C	[null]	[null]
59	3	0	Nieminen, Miss. Manta Josefina	female	29.0	0	0	3101297	7.925	[null]	S	[null]	[null]	[null]
60	3	0	Niklasson, Mr. Samuel	male	28.0	0	0	363611	8.05	[null]	S	[null]	[null]	[null]
61	3	1	Nilsson, Miss. Berta Olivia	female	18.0	0	0	347066	7.775	[null]	S	D	[null]	[null]
62	3	1	Nilsson, Miss. Helmina Josefina	female	26.0	0	0	347470	7.8542	[null]	S	13	[null]	[null]
63	3	0	Nilsson, Mr. August Ferdinand	male	21.0	0	0	350410	7.8542	[null]	S	[null]	[null]	[null]
64	3	0	Nirva, Mr. Iisakki Antino Aijo	male	41.0	0	0	SOTON/O2 3101272	7.125	[null]	S	[null]	[null]	Finland Sudbury, ON
65	3	1	Niskanen, Mr. Juha	male	39.0	0	0	STON/O 2. 3101289	7.925	[null]	S	9	[null]	[null]
66	3	0	Nosworthy, Mr. Richard Cater	male	21.0	0	0	A/4. 39886	7.8	[null]	S	[null]	[null]	[null]
67	3	0	Novel, Mr. Mansouer	male	28.5	0	0	2697	7.2292	[null]	C	[null]	181	[null]
68	3	1	Nysten, Miss. Anna Sofia	female	22.0	0	0	347081	7.75	[null]	S	13	[null]	[null]
69	3	0	Nysveen, Mr. Johan Hansen	male	61.0	0	0	345364	6.2375	[null]	S	[null]	[null]	[null]
70	3	0	O'Brien, Mr. Thomas	male	[null]	1	0	370365	15.5	[null]	Q	[null]	[null]	[null]
71	3	0	O'Brien, Mr. Timothy	male	[null]	0	0	330979	7.8292	[null]	Q	[null]	[null]	[null]
72	3	1	O'Brien, Mrs. Thomas (Johanna "Hannah" Godfrey)	female	[null]	1	0	370365	15.5	[null]	Q	[null]	[null]	[null]
73	3	0	O'Connell, Mr. Patrick D	male	[null]	0	0	334912	7.7333	[null]	Q	[null]	[null]	[null]
74	3	0	O'Connor, Mr. Maurice	male	[null]	0	0	371060	7.75	[null]	Q	[null]	[null]	[null]
75	3	0	O'Connor, Mr. Patrick	male	[null]	0	0	366713	7.75	[null]	Q	[null]	[null]	[null]
76	3	0	Odahl, Mr. Nils Martin	male	23.0	0	0	7267	9.225	[null]	S	[null]	[null]	[null]
77	3	0	O'Donoghue, Ms. Bridget	female	[null]	0	0	364856	7.75	[null]	Q	[null]	[null]	[null]
78	3	1	O'Driscoll, Miss. Bridget	female	[null]	0	0	14311	7.75	[null]	Q	D	[null]	[null]
79	3	1	O'Dwyer, Miss. Ellen "Nellie"	female	[null]	0	0	330959	7.8792	[null]	Q	[null]	[null]	[null]
80	3	1	Ohman, Miss. Velin	female	22.0	0	0	347085	7.775	[null]	S	C	[null]	[null]
81	3	1	O'Keefe, Mr. Patrick	male	[null]	0	0	368402	7.75	[null]	Q	B	[null]	[null]
82	3	1	O'Leary, Miss. Hanora "Norah"	female	[null]	0	0	330919	7.8292	[null]	Q	13	[null]	[null]
83	3	1	Olsen, Master. Artur Karl	male	9.0	0	1	C 17368	3.1708	[null]	S	13	[null]	[null]
84	3	0	Olsen, Mr. Henry Margido	male	28.0	0	0	C 4001	22.525	[null]	S	[null]	173	[null]
85	3	0	Olsen, Mr. Karl Siegwart Andreas	male	42.0	0	1	4579	8.4042	[null]	S	[null]	[null]	[null]
86	3	0	Olsen, Mr. Ole Martin	male	[null]	0	0	Fa 265302	7.3125	[null]	S	[null]	[null]	[null]
87	3	0	Olsson, Miss. Elina	female	31.0	0	0	350407	7.8542	[null]	S	[null]	[null]	[null]
88	3	0	Olsson, Mr. Nils Johan Goransson	male	28.0	0	0	347464	7.8542	[null]	S	[null]	[null]	[null]
89	3	1	Olsson, Mr. Oscar Wilhelm	male	32.0	0	0	347079	7.775	[null]	S	A	[null]	[null]
90	3	0	Olsvigen, Mr. Thor Anderson	male	20.0	0	0	6563	9.225	[null]	S	[null]	89	Oslo, Norway Cameron, WI
91	3	0	Oreskovic, Miss. Jelka	female	23.0	0	0	315085	8.6625	[null]	S	[null]	[null]	[null]
92	3	0	Oreskovic, Miss. Marija	female	20.0	0	0	315096	8.6625	[null]	S	[null]	[null]	[null]
93	3	0	Oreskovic, Mr. Luka	male	20.0	0	0	315094	8.6625	[null]	S	[null]	[null]	[null]
94	3	0	Osen, Mr. Olaf Elon	male	16.0	0	0	7534	9.2167	[null]	S	[null]	[null]	[null]
95	3	1	Osman, Mrs. Mara	female	31.0	0	0	349244	8.6833	[null]	S	[null]	[null]	[null]
96	3	0	O'Sullivan, Miss. Bridget Mary	female	[null]	0	0	330909	7.6292	[null]	Q	[null]	[null]	[null]
97	3	0	Palsson, Master. Gosta Leonard	male	2.0	3	1	349909	21.075	[null]	S	[null]	4	[null]
98	3	0	Palsson, Master. Paul Folke	male	6.0	3	1	349909	21.075	[null]	S	[null]	[null]	[null]
99	3	0	Palsson, Miss. Stina Viola	female	3.0	3	1	349909	21.075	[null]	S	[null]	[null]	[null]
100	3	0	Palsson, Miss. Torborg Danira	female	8.0	3	1	349909	21.075	[null]	S	[null]	[null]	[null]

Rows: 1-100 | Columns: 14

Note

vastorbit offers a wide range of sample datasets that are ideal for training and testing purposes. You can explore the full list of available datasets in the Datasets, which provides detailed information on each dataset and how to use them effectively. These datasets are invaluable resources for honing your data analysis and machine learning skills within the vastorbit environment.

Function Application

First we import the balance function:

from vastorbit.machine_learning.vast import balance

Then we can directly apply it to the dataset:

balance(
    name = "balance_model",
    input_relation = data,
    y = "survived",
    method = "under",
)

	123 pclass Integer	123 survived Integer	Abc name Varchar(164)	Abc sex Varchar(20)	123 age Double	123 sibsp Integer	123 parch Integer	Abc ticket Varchar(36)	123 fare Double	Abc cabin Varchar(30)	Abc embarked Varchar(20)	Abc boat Varchar(100)	123 body Integer	Abc home.dest Varchar(100)
1	2	1	del Carlo, Mrs. Sebastiano (Argenia Genovesi)	female	24.0	1	0	SC/PARIS 2167	27.7208	[null]	C	12	[null]	Lucca, Italy / California
2	3	1	Abelseth, Mr. Olaus Jorgensen	male	25.0	0	0	348122	7.65	F G63	S	A	[null]	Perkins County, SD
3	1	1	Chambers, Mr. Norman Campbell	male	27.0	1	0	113806	53.1	E8	S	5	[null]	New York, NY / Ithaca, NY
4	3	1	McCoy, Miss. Alicia	female	[null]	2	0	367226	23.25	[null]	Q	16	[null]	[null]
5	3	1	Jansson, Mr. Carl Olof	male	21.0	0	0	350034	7.7958	[null]	S	A	[null]	[null]
6	3	1	Moussa, Mrs. (Mantoura Boulos)	female	[null]	0	0	2626	7.2292	[null]	C	[null]	[null]	[null]
7	3	1	Pickard, Mr. Berk (Berk Trembisky)	male	32.0	0	0	SOTON/O.Q. 392078	8.05	E10	S	9	[null]	[null]
8	3	1	Olsen, Master. Artur Karl	male	9.0	0	1	C 17368	3.1708	[null]	S	13	[null]	[null]
9	3	1	Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)	female	33.0	3	0	3101278	15.85	[null]	S	[null]	[null]	Ruotsinphytaa, Finland New York, NY
10	3	1	Moran, Miss. Bertha	female	[null]	1	0	371110	24.15	[null]	Q	16	[null]	[null]
11	1	1	Harder, Mrs. George Achilles (Dorothy Annan)	female	25.0	1	0	11765	55.4417	E50	C	5	[null]	Brooklyn, NY
12	3	1	Daly, Mr. Eugene Patrick	male	29.0	0	0	382651	7.75	[null]	Q	13 15 B	[null]	Co Athlone, Ireland New York, NY
13	3	1	Sjoblom, Miss. Anna Sofia	female	18.0	0	0	3101265	7.4958	[null]	S	16	[null]	[null]
14	1	1	Candee, Mrs. Edward (Helen Churchill Hungerford)	female	53.0	0	0	PC 17606	27.4458	[null]	C	6	[null]	Washington, DC
15	3	1	Baclini, Miss. Marie Catherine	female	5.0	2	1	2666	19.2583	[null]	C	C	[null]	Syria New York, NY
16	1	1	Lesurer, Mr. Gustave J	male	35.0	0	0	PC 17755	512.3292	B101	C	3	[null]	[null]
17	1	1	Crosby, Mrs. Edward Gifford (Catherine Elizabeth Halstead)	female	64.0	1	1	112901	26.55	B26	S	7	[null]	Milwaukee, WI
18	2	1	Smith, Miss. Marion Elsie	female	40.0	0	0	31418	13.0	[null]	S	9	[null]	[null]
19	2	1	Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)	female	24.0	2	1	243847	27.0	[null]	S	12	[null]	London
20	3	1	Duquemin, Mr. Joseph	male	24.0	0	0	S.O./P.P. 752	7.55	[null]	S	D	[null]	England Albion, NY
21	1	1	Hawksford, Mr. Walter James	male	[null]	0	0	16988	30.0	D45	S	3	[null]	Kingston, Surrey
22	3	1	Thomas, Master. Assad Alexander	male	0.42	0	1	2625	8.5167	[null]	C	16	[null]	[null]
23	1	1	Fortune, Miss. Alice Elizabeth	female	24.0	3	2	19950	263.0	C23 C25 C27	S	10	[null]	Winnipeg, MB
24	1	1	Fleming, Miss. Margaret	female	[null]	0	0	17421	110.8833	[null]	C	4	[null]	[null]
25	1	1	Anderson, Mr. Harry	male	48.0	0	0	19952	26.55	E12	S	3	[null]	New York, NY
26	3	1	Barah, Mr. Hanna Assi	male	20.0	0	0	2663	7.2292	[null]	C	15	[null]	[null]
27	3	1	Gilnagh, Miss. Katherine "Katie"	female	16.0	0	0	35851	7.7333	[null]	Q	16	[null]	Co Longford, Ireland New York, NY
28	1	1	Gibson, Miss. Dorothy Winifred	female	22.0	0	1	112378	59.4	[null]	C	7	[null]	New York, NY
29	1	1	Frauenthal, Mr. Isaac Gerald	male	43.0	1	0	17765	27.7208	D40	C	5	[null]	New York, NY
30	2	1	Williams, Mr. Charles Eugene	male	[null]	0	0	244373	13.0	[null]	S	14	[null]	Harrow, England
31	2	1	Abelson, Mrs. Samuel (Hannah Wizosky)	female	28.0	1	0	P/PP 3381	24.0	[null]	C	10	[null]	Russia New York, NY
32	3	1	Murphy, Miss. Katherine "Kate"	female	[null]	1	0	367230	15.5	[null]	Q	16	[null]	[null]
33	1	1	Davidson, Mrs. Thornton (Orian Hays)	female	27.0	1	2	F.C. 12750	52.0	B71	S	3	[null]	Montreal, PQ
34	1	1	Barkworth, Mr. Algernon Henry Wilson	male	80.0	0	0	27042	30.0	A23	S	B	[null]	Hessle, Yorks
35	3	1	Andersen-Jensen, Miss. Carla Christine Nielsine	female	19.0	1	0	350046	7.8542	[null]	S	16	[null]	[null]
36	1	1	Thayer, Mrs. John Borland (Marian Longstreth Morris)	female	39.0	1	1	17421	110.8833	C68	C	4	[null]	Haverford, PA
37	3	1	Aks, Mrs. Sam (Leah Rosen)	female	18.0	0	1	392091	9.35	[null]	S	13	[null]	London, England Norfolk, VA
38	2	1	Shelley, Mrs. William (Imanita Parrish Hall)	female	25.0	0	1	230433	26.0	[null]	S	12	[null]	Deer Lodge, MT
39	2	1	Mallet, Mrs. Albert (Antoinette Magnin)	female	24.0	1	1	S.C./PARIS 2079	37.0042	[null]	C	10	[null]	Paris / Montreal, PQ
40	2	1	Ridsdale, Miss. Lucy	female	50.0	0	0	W./C. 14258	10.5	[null]	S	13	[null]	London, England / Marietta, Ohio and Milwaukee, WI
41	1	1	Crosby, Miss. Harriet R	female	36.0	0	2	WE/P 5735	71.0	B22	S	7	[null]	Milwaukee, WI
42	1	1	Carter, Mr. William Ernest	male	36.0	1	2	113760	120.0	B96 B98	S	C	[null]	Bryn Mawr, PA
43	2	1	Silven, Miss. Lyyli Karoliina	female	18.0	0	2	250652	13.0	[null]	S	16	[null]	Finland / Minneapolis, MN
44	2	1	Hart, Miss. Eva Miriam	female	7.0	0	2	F.C.C. 13529	26.25	[null]	S	14	[null]	Ilford, Essex / Winnipeg, MB
45	3	1	McGowan, Miss. Anna "Annie"	female	15.0	0	0	330923	8.0292	[null]	Q	[null]	[null]	[null]
46	1	1	Carter, Miss. Lucile Polk	female	14.0	1	2	113760	120.0	B96 B98	S	4	[null]	Bryn Mawr, PA
47	3	1	Peter, Miss. Anna	female	[null]	1	1	2668	22.3583	F E69	C	D	[null]	[null]
48	2	1	Harper, Miss. Annie Jessie "Nina"	female	6.0	0	1	248727	33.0	[null]	S	11	[null]	Denmark Hill, Surrey / Chicago
49	1	1	Fortune, Miss. Mabel Helen	female	23.0	3	2	19950	263.0	C23 C25 C27	S	10	[null]	Winnipeg, MB
50	1	1	Lindstrom, Mrs. Carl Johan (Sigrid Posse)	female	55.0	0	0	112377	27.7208	[null]	C	6	[null]	Stockholm, Sweden
51	2	1	Drew, Master. Marshall Brines	male	8.0	0	2	28220	32.5	[null]	S	10	[null]	Greenport, NY
52	1	1	Cleaver, Miss. Alice	female	22.0	0	0	113781	151.55	[null]	S	11	[null]	[null]
53	1	1	Ryerson, Miss. Susan Parker "Suzette"	female	21.0	2	2	PC 17608	262.375	B57 B59 B63 B66	C	4	[null]	Haverford, PA / Cooperstown, NY
54	2	1	Cook, Mrs. (Selena Rogers)	female	22.0	0	0	W./C. 14266	10.5	F33	S	14	[null]	Pennsylvania
55	1	1	Frauenthal, Mrs. Henry William (Clara Heinsheimer)	female	[null]	1	0	PC 17611	133.65	[null]	S	5	[null]	New York, NY
56	1	1	Thorne, Mrs. Gertrude Maybelle	female	[null]	0	0	PC 17585	79.2	[null]	C	D	[null]	New York, NY
57	3	1	McCoy, Miss. Agnes	female	[null]	2	0	367226	23.25	[null]	Q	16	[null]	[null]
58	1	1	Icard, Miss. Amelie	female	38.0	0	0	113572	80.0	B28	[null]	6	[null]	[null]
59	3	1	Jalsevac, Mr. Ivan	male	29.0	0	0	349240	7.8958	[null]	C	15	[null]	[null]
60	2	1	Duran y More, Miss. Florentina	female	30.0	1	0	SC/PARIS 2148	13.8583	[null]	C	12	[null]	Barcelona, Spain / Havana, Cuba
61	2	1	Richards, Master. George Sibley	male	0.83	1	1	29106	18.75	[null]	S	4	[null]	Cornwall / Akron, OH
62	3	1	Mannion, Miss. Margareth	female	[null]	0	0	36866	7.7375	[null]	Q	16	[null]	[null]
63	2	1	Ball, Mrs. (Ada E Hall)	female	36.0	0	0	28551	13.0	D	S	10	[null]	Bristol, Avon / Jacksonville, FL
64	1	1	Stengel, Mr. Charles Emil Henry	male	54.0	1	0	11778	55.4417	C116	C	1	[null]	Newark, NJ
65	1	1	Futrelle, Mrs. Jacques Heath (Lily May Peel)	female	35.0	1	0	113803	53.1	C123	S	D	[null]	Scituate, MA
66	1	1	Willard, Miss. Constance	female	21.0	0	0	113795	26.55	[null]	S	8 10	[null]	Duluth, MN
67	3	1	Turkula, Mrs. (Hedwig)	female	63.0	0	0	4134	9.5875	[null]	S	15	[null]	[null]
68	1	1	Behr, Mr. Karl Howell	male	26.0	0	0	111369	30.0	C148	C	5	[null]	New York, NY
69	1	1	Goldenberg, Mr. Samuel L	male	49.0	1	0	17453	89.1042	C92	C	5	[null]	Paris, France / New York, NY
70	3	1	Honkanen, Miss. Eliina	female	27.0	0	0	STON/O2. 3101283	7.925	[null]	S	[null]	[null]	[null]
71	1	1	Carter, Master. William Thornton II	male	11.0	1	2	113760	120.0	B96 B98	S	4	[null]	Bryn Mawr, PA
72	2	1	Laroche, Miss. Simonne Marie Anne Andree	female	3.0	1	2	SC/Paris 2123	41.5792	[null]	C	14	[null]	Paris / Haiti
73	3	1	Madsen, Mr. Fridtjof Arne	male	24.0	0	0	C 17369	7.1417	[null]	S	13	[null]	[null]
74	3	1	Karlsson, Mr. Einar Gervasius	male	21.0	0	0	350053	7.7958	[null]	S	13	[null]	[null]
75	2	1	Collett, Mr. Sidney C Stuart	male	24.0	0	0	28034	10.5	[null]	S	9	[null]	London / Fort Byron, NY
76	3	1	O'Leary, Miss. Hanora "Norah"	female	[null]	0	0	330919	7.8292	[null]	Q	13	[null]	[null]
77	2	1	Davies, Master. John Morgan Jr	male	8.0	1	1	C.A. 33112	36.75	[null]	S	14	[null]	St Ives, Cornwall / Hancock, MI
78	2	1	Wright, Miss. Marion	female	26.0	0	0	220844	13.5	[null]	S	9	[null]	Yoevil, England / Cottage Grove, OR
79	1	1	Hippach, Mrs. Louis Albert (Ida Sophia Fischer)	female	44.0	0	1	111361	57.9792	B18	C	4	[null]	Chicago, IL
80	3	1	Abelseth, Miss. Karen Marie	female	16.0	0	0	348125	7.65	[null]	S	16	[null]	Norway Los Angeles, CA
81	1	1	Wick, Miss. Mary Natalie	female	31.0	0	2	36928	164.8667	C7	S	8	[null]	Youngstown, OH
82	2	1	Pallas y Castello, Mr. Emilio	male	29.0	0	0	SC/PARIS 2147	13.8583	[null]	C	9	[null]	Spain / Havana, Cuba
83	3	1	Assaf Khalil, Mrs. Mariana ("Miriam")	female	45.0	0	0	2696	7.225	[null]	C	C	[null]	Ottawa, ON
84	3	1	Hellstrom, Miss. Hilda Maria	female	22.0	0	0	7548	8.9625	[null]	S	C	[null]	[null]
85	3	1	Hirvonen, Mrs. Alexander (Helga E Lindqvist)	female	22.0	1	1	3101298	12.2875	[null]	S	15	[null]	[null]
86	3	1	Olsson, Mr. Oscar Wilhelm	male	32.0	0	0	347079	7.775	[null]	S	A	[null]	[null]
87	2	1	Doling, Miss. Elsie	female	18.0	0	1	231919	23.0	[null]	S	[null]	[null]	Southampton
88	3	1	Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)	female	27.0	0	2	347742	11.1333	[null]	S	15	[null]	[null]
89	3	1	Andersson, Miss. Erna Alexandra	female	17.0	4	2	3101281	7.925	[null]	S	D	[null]	Ruotsinphyhtaa, Finland New York, NY
90	1	1	Bowerman, Miss. Elsie Edith	female	22.0	0	1	113505	55.0	E33	S	6	[null]	St Leonards-on-Sea, England Ohio
91	1	1	Shutes, Miss. Elizabeth W	female	40.0	0	0	PC 17582	153.4625	C125	S	3	[null]	New York, NY / Greenwich CT
92	1	1	Bonnell, Miss. Caroline	female	30.0	0	0	36928	164.8667	C7	S	8	[null]	Youngstown, OH
93	3	1	McCoy, Mr. Bernard	male	[null]	2	0	367226	23.25	[null]	Q	16	[null]	[null]
94	1	1	Minahan, Miss. Daisy E	female	33.0	1	0	19928	90.0	C78	Q	14	[null]	Green Bay, WI
95	3	1	Bradley, Miss. Bridget Delia	female	22.0	0	0	334914	7.725	[null]	Q	13	[null]	Kingwilliamstown, Co Cork, Ireland Glens Falls, NY
96	2	1	Nye, Mrs. (Elizabeth Ramell)	female	29.0	0	0	C.A. 29395	10.5	F33	S	11	[null]	Folkstone, Kent / New York, NY
97	1	1	Mock, Mr. Philipp Edmund	male	30.0	1	0	13236	57.75	C78	C	11	[null]	New York, NY
98	3	1	Madigan, Miss. Margaret "Maggie"	female	[null]	0	0	370370	7.75	[null]	Q	15	[null]	[null]
99	2	1	Mallet, Master. Andre	male	1.0	0	2	S.C./PARIS 2079	37.0042	[null]	C	10	[null]	Paris / Montreal, PQ
100	3	1	McCormack, Mr. Thomas Joseph	male	[null]	0	0	367228	7.75	[null]	Q	[null]	[null]	[null]

Rows: 1-100 | Columns: 14

See also

VastFrame.sample() : Sampling the dataset.