Estatística Descritiva

Banco de Dados - Titanic

Analisamos um banco de dados sobre os tripulantes da tragédia do Titanic.

Os dados são fornecidos no Kaggle, através do seguinte link:

https://www.kaggle.com/c/titanic

O banco de dados de treino possui 891 observações com 12 respectivas variáveis cada, como podemos ver abaixo:

PassengerId	Survived	Pclass	Name	Sex	Age	SibSp	Parch	Ticket	Fare	Cabin	Embarked
1	0	3	Braund, Mr. Owen Harris	male	22.00	1	0	A/5 21171	7.2500	NA	S
2	1	1	Cumings, Mrs. John Bradley (Florence Briggs Thayer)	female	38.00	1	0	PC 17599	71.2833	C85	C
3	1	3	Heikkinen, Miss. Laina	female	26.00	0	0	STON/O2. 3101282	7.9250	NA	S
4	1	1	Futrelle, Mrs. Jacques Heath (Lily May Peel)	female	35.00	1	0	113803	53.1000	C123	S
5	0	3	Allen, Mr. William Henry	male	35.00	0	0	373450	8.0500	NA	S
6	0	3	Moran, Mr. James	male	NA	0	0	330877	8.4583	NA	Q
7	0	1	McCarthy, Mr. Timothy J	male	54.00	0	0	17463	51.8625	E46	S
8	0	3	Palsson, Master. Gosta Leonard	male	2.00	3	1	349909	21.0750	NA	S
9	1	3	Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)	female	27.00	0	2	347742	11.1333	NA	S
10	1	2	Nasser, Mrs. Nicholas (Adele Achem)	female	14.00	1	0	237736	30.0708	NA	C
11	1	3	Sandstrom, Miss. Marguerite Rut	female	4.00	1	1	PP 9549	16.7000	G6	S
12	1	1	Bonnell, Miss. Elizabeth	female	58.00	0	0	113783	26.5500	C103	S
13	0	3	Saundercock, Mr. William Henry	male	20.00	0	0	A/5. 2151	8.0500	NA	S
14	0	3	Andersson, Mr. Anders Johan	male	39.00	1	5	347082	31.2750	NA	S
15	0	3	Vestrom, Miss. Hulda Amanda Adolfina	female	14.00	0	0	350406	7.8542	NA	S
16	1	2	Hewlett, Mrs. (Mary D Kingcome)	female	55.00	0	0	248706	16.0000	NA	S
17	0	3	Rice, Master. Eugene	male	2.00	4	1	382652	29.1250	NA	Q
18	1	2	Williams, Mr. Charles Eugene	male	NA	0	0	244373	13.0000	NA	S
19	0	3	Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)	female	31.00	1	0	345763	18.0000	NA	S
20	1	3	Masselmani, Mrs. Fatima	female	NA	0	0	2649	7.2250	NA	C
21	0	2	Fynney, Mr. Joseph J	male	35.00	0	0	239865	26.0000	NA	S
22	1	2	Beesley, Mr. Lawrence	male	34.00	0	0	248698	13.0000	D56	S
23	1	3	McGowan, Miss. Anna “Annie”	female	15.00	0	0	330923	8.0292	NA	Q
24	1	1	Sloper, Mr. William Thompson	male	28.00	0	0	113788	35.5000	A6	S
25	0	3	Palsson, Miss. Torborg Danira	female	8.00	3	1	349909	21.0750	NA	S
26	1	3	Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)	female	38.00	1	5	347077	31.3875	NA	S
27	0	3	Emir, Mr. Farred Chehab	male	NA	0	0	2631	7.2250	NA	C
28	0	1	Fortune, Mr. Charles Alexander	male	19.00	3	2	19950	263.0000	C23 C25 C27	S
29	1	3	O’Dwyer, Miss. Ellen “Nellie”	female	NA	0	0	330959	7.8792	NA	Q
30	0	3	Todoroff, Mr. Lalio	male	NA	0	0	349216	7.8958	NA	S
31	0	1	Uruchurtu, Don. Manuel E	male	40.00	0	0	PC 17601	27.7208	NA	C
32	1	1	Spencer, Mrs. William Augustus (Marie Eugenie)	female	NA	1	0	PC 17569	146.5208	B78	C
33	1	3	Glynn, Miss. Mary Agatha	female	NA	0	0	335677	7.7500	NA	Q
34	0	2	Wheadon, Mr. Edward H	male	66.00	0	0	C.A. 24579	10.5000	NA	S
35	0	1	Meyer, Mr. Edgar Joseph	male	28.00	1	0	PC 17604	82.1708	NA	C
36	0	1	Holverson, Mr. Alexander Oskar	male	42.00	1	0	113789	52.0000	NA	S
37	1	3	Mamee, Mr. Hanna	male	NA	0	0	2677	7.2292	NA	C
38	0	3	Cann, Mr. Ernest Charles	male	21.00	0	0	A./5. 2152	8.0500	NA	S
39	0	3	Vander Planke, Miss. Augusta Maria	female	18.00	2	0	345764	18.0000	NA	S
40	1	3	Nicola-Yarred, Miss. Jamila	female	14.00	1	0	2651	11.2417	NA	C
41	0	3	Ahlin, Mrs. Johan (Johanna Persdotter Larsson)	female	40.00	1	0	7546	9.4750	NA	S
42	0	2	Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)	female	27.00	1	0	11668	21.0000	NA	S
43	0	3	Kraeff, Mr. Theodor	male	NA	0	0	349253	7.8958	NA	C
44	1	2	Laroche, Miss. Simonne Marie Anne Andree	female	3.00	1	2	SC/Paris 2123	41.5792	NA	C
45	1	3	Devaney, Miss. Margaret Delia	female	19.00	0	0	330958	7.8792	NA	Q
46	0	3	Rogers, Mr. William John	male	NA	0	0	S.C./A.4. 23567	8.0500	NA	S
47	0	3	Lennon, Mr. Denis	male	NA	1	0	370371	15.5000	NA	Q
48	1	3	O’Driscoll, Miss. Bridget	female	NA	0	0	14311	7.7500	NA	Q
49	0	3	Samaan, Mr. Youssef	male	NA	2	0	2662	21.6792	NA	C
50	0	3	Arnold-Franchi, Mrs. Josef (Josefine Franchi)	female	18.00	1	0	349237	17.8000	NA	S
51	0	3	Panula, Master. Juha Niilo	male	7.00	4	1	3101295	39.6875	NA	S
52	0	3	Nosworthy, Mr. Richard Cater	male	21.00	0	0	A/4. 39886	7.8000	NA	S
53	1	1	Harper, Mrs. Henry Sleeper (Myna Haxtun)	female	49.00	1	0	PC 17572	76.7292	D33	C
54	1	2	Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)	female	29.00	1	0	2926	26.0000	NA	S
55	0	1	Ostby, Mr. Engelhart Cornelius	male	65.00	0	1	113509	61.9792	B30	C
56	1	1	Woolner, Mr. Hugh	male	NA	0	0	19947	35.5000	C52	S
57	1	2	Rugg, Miss. Emily	female	21.00	0	0	C.A. 31026	10.5000	NA	S
58	0	3	Novel, Mr. Mansouer	male	28.50	0	0	2697	7.2292	NA	C
59	1	2	West, Miss. Constance Mirium	female	5.00	1	2	C.A. 34651	27.7500	NA	S
60	0	3	Goodwin, Master. William Frederick	male	11.00	5	2	CA 2144	46.9000	NA	S
61	0	3	Sirayanian, Mr. Orsen	male	22.00	0	0	2669	7.2292	NA	C
62	1	1	Icard, Miss. Amelie	female	38.00	0	0	113572	80.0000	B28	NA
63	0	1	Harris, Mr. Henry Birkhardt	male	45.00	1	0	36973	83.4750	C83	S
64	0	3	Skoog, Master. Harald	male	4.00	3	2	347088	27.9000	NA	S
65	0	1	Stewart, Mr. Albert A	male	NA	0	0	PC 17605	27.7208	NA	C
66	1	3	Moubarek, Master. Gerios	male	NA	1	1	2661	15.2458	NA	C
67	1	2	Nye, Mrs. (Elizabeth Ramell)	female	29.00	0	0	C.A. 29395	10.5000	F33	S
68	0	3	Crease, Mr. Ernest James	male	19.00	0	0	S.P. 3464	8.1583	NA	S
69	1	3	Andersson, Miss. Erna Alexandra	female	17.00	4	2	3101281	7.9250	NA	S
70	0	3	Kink, Mr. Vincenz	male	26.00	2	0	315151	8.6625	NA	S
71	0	2	Jenkin, Mr. Stephen Curnow	male	32.00	0	0	C.A. 33111	10.5000	NA	S
72	0	3	Goodwin, Miss. Lillian Amy	female	16.00	5	2	CA 2144	46.9000	NA	S
73	0	2	Hood, Mr. Ambrose Jr	male	21.00	0	0	S.O.C. 14879	73.5000	NA	S
74	0	3	Chronopoulos, Mr. Apostolos	male	26.00	1	0	2680	14.4542	NA	C
75	1	3	Bing, Mr. Lee	male	32.00	0	0	1601	56.4958	NA	S
76	0	3	Moen, Mr. Sigurd Hansen	male	25.00	0	0	348123	7.6500	F G73	S
77	0	3	Staneff, Mr. Ivan	male	NA	0	0	349208	7.8958	NA	S
78	0	3	Moutal, Mr. Rahamin Haim	male	NA	0	0	374746	8.0500	NA	S
79	1	2	Caldwell, Master. Alden Gates	male	0.83	0	2	248738	29.0000	NA	S
80	1	3	Dowdell, Miss. Elizabeth	female	30.00	0	0	364516	12.4750	NA	S
81	0	3	Waelens, Mr. Achille	male	22.00	0	0	345767	9.0000	NA	S
82	1	3	Sheerlinck, Mr. Jan Baptist	male	29.00	0	0	345779	9.5000	NA	S
83	1	3	McDermott, Miss. Brigdet Delia	female	NA	0	0	330932	7.7875	NA	Q
84	0	1	Carrau, Mr. Francisco M	male	28.00	0	0	113059	47.1000	NA	S
85	1	2	Ilett, Miss. Bertha	female	17.00	0	0	SO/C 14885	10.5000	NA	S
86	1	3	Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)	female	33.00	3	0	3101278	15.8500	NA	S
87	0	3	Ford, Mr. William Neal	male	16.00	1	3	W./C. 6608	34.3750	NA	S
88	0	3	Slocovski, Mr. Selman Francis	male	NA	0	0	SOTON/OQ 392086	8.0500	NA	S
89	1	1	Fortune, Miss. Mabel Helen	female	23.00	3	2	19950	263.0000	C23 C25 C27	S
90	0	3	Celotti, Mr. Francesco	male	24.00	0	0	343275	8.0500	NA	S
91	0	3	Christmann, Mr. Emil	male	29.00	0	0	343276	8.0500	NA	S
92	0	3	Andreasson, Mr. Paul Edvin	male	20.00	0	0	347466	7.8542	NA	S
93	0	1	Chaffee, Mr. Herbert Fuller	male	46.00	1	0	W.E.P. 5734	61.1750	E31	S
94	0	3	Dean, Mr. Bertram Frank	male	26.00	1	2	C.A. 2315	20.5750	NA	S
95	0	3	Coxon, Mr. Daniel	male	59.00	0	0	364500	7.2500	NA	S
96	0	3	Shorney, Mr. Charles Joseph	male	NA	0	0	374910	8.0500	NA	S
97	0	1	Goldschmidt, Mr. George B	male	71.00	0	0	PC 17754	34.6542	A5	C
98	1	1	Greenfield, Mr. William Bertram	male	23.00	0	1	PC 17759	63.3583	D10 D12	C
99	1	2	Doling, Mrs. John T (Ada Julia Bone)	female	34.00	0	1	231919	23.0000	NA	S
100	0	2	Kantor, Mr. Sinai	male	34.00	1	0	244367	26.0000	NA	S
101	0	3	Petranec, Miss. Matilda	female	28.00	0	0	349245	7.8958	NA	S
102	0	3	Petroff, Mr. Pastcho (“Pentcho”)	male	NA	0	0	349215	7.8958	NA	S
103	0	1	White, Mr. Richard Frasar	male	21.00	0	1	35281	77.2875	D26	S
104	0	3	Johansson, Mr. Gustaf Joel	male	33.00	0	0	7540	8.6542	NA	S
105	0	3	Gustafsson, Mr. Anders Vilhelm	male	37.00	2	0	3101276	7.9250	NA	S
106	0	3	Mionoff, Mr. Stoytcho	male	28.00	0	0	349207	7.8958	NA	S
107	1	3	Salkjelsvik, Miss. Anna Kristine	female	21.00	0	0	343120	7.6500	NA	S
108	1	3	Moss, Mr. Albert Johan	male	NA	0	0	312991	7.7750	NA	S
109	0	3	Rekic, Mr. Tido	male	38.00	0	0	349249	7.8958	NA	S
110	1	3	Moran, Miss. Bertha	female	NA	1	0	371110	24.1500	NA	Q
111	0	1	Porter, Mr. Walter Chamberlain	male	47.00	0	0	110465	52.0000	C110	S
112	0	3	Zabour, Miss. Hileni	female	14.50	1	0	2665	14.4542	NA	C
113	0	3	Barton, Mr. David John	male	22.00	0	0	324669	8.0500	NA	S
114	0	3	Jussila, Miss. Katriina	female	20.00	1	0	4136	9.8250	NA	S
115	0	3	Attalah, Miss. Malake	female	17.00	0	0	2627	14.4583	NA	C
116	0	3	Pekoniemi, Mr. Edvard	male	21.00	0	0	STON/O 2. 3101294	7.9250	NA	S
117	0	3	Connors, Mr. Patrick	male	70.50	0	0	370369	7.7500	NA	Q
118	0	2	Turpin, Mr. William John Robert	male	29.00	1	0	11668	21.0000	NA	S
119	0	1	Baxter, Mr. Quigg Edmond	male	24.00	0	1	PC 17558	247.5208	B58 B60	C
120	0	3	Andersson, Miss. Ellis Anna Maria	female	2.00	4	2	347082	31.2750	NA	S
121	0	2	Hickman, Mr. Stanley George	male	21.00	2	0	S.O.C. 14879	73.5000	NA	S
122	0	3	Moore, Mr. Leonard Charles	male	NA	0	0	A4. 54510	8.0500	NA	S
123	0	2	Nasser, Mr. Nicholas	male	32.50	1	0	237736	30.0708	NA	C
124	1	2	Webber, Miss. Susan	female	32.50	0	0	27267	13.0000	E101	S
125	0	1	White, Mr. Percival Wayland	male	54.00	0	1	35281	77.2875	D26	S
126	1	3	Nicola-Yarred, Master. Elias	male	12.00	1	0	2651	11.2417	NA	C
127	0	3	McMahon, Mr. Martin	male	NA	0	0	370372	7.7500	NA	Q
128	1	3	Madsen, Mr. Fridtjof Arne	male	24.00	0	0	C 17369	7.1417	NA	S
129	1	3	Peter, Miss. Anna	female	NA	1	1	2668	22.3583	F E69	C
130	0	3	Ekstrom, Mr. Johan	male	45.00	0	0	347061	6.9750	NA	S
131	0	3	Drazenoic, Mr. Jozef	male	33.00	0	0	349241	7.8958	NA	C
132	0	3	Coelho, Mr. Domingos Fernandeo	male	20.00	0	0	SOTON/O.Q. 3101307	7.0500	NA	S
133	0	3	Robins, Mrs. Alexander A (Grace Charity Laury)	female	47.00	1	0	A/5. 3337	14.5000	NA	S
134	1	2	Weisz, Mrs. Leopold (Mathilde Francoise Pede)	female	29.00	1	0	228414	26.0000	NA	S
135	0	2	Sobey, Mr. Samuel James Hayden	male	25.00	0	0	C.A. 29178	13.0000	NA	S
136	0	2	Richard, Mr. Emile	male	23.00	0	0	SC/PARIS 2133	15.0458	NA	C
137	1	1	Newsom, Miss. Helen Monypeny	female	19.00	0	2	11752	26.2833	D47	S
138	0	1	Futrelle, Mr. Jacques Heath	male	37.00	1	0	113803	53.1000	C123	S
139	0	3	Osen, Mr. Olaf Elon	male	16.00	0	0	7534	9.2167	NA	S
140	0	1	Giglio, Mr. Victor	male	24.00	0	0	PC 17593	79.2000	B86	C
141	0	3	Boulos, Mrs. Joseph (Sultana)	female	NA	0	2	2678	15.2458	NA	C
142	1	3	Nysten, Miss. Anna Sofia	female	22.00	0	0	347081	7.7500	NA	S
143	1	3	Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)	female	24.00	1	0	STON/O2. 3101279	15.8500	NA	S
144	0	3	Burke, Mr. Jeremiah	male	19.00	0	0	365222	6.7500	NA	Q
145	0	2	Andrew, Mr. Edgardo Samuel	male	18.00	0	0	231945	11.5000	NA	S
146	0	2	Nicholls, Mr. Joseph Charles	male	19.00	1	1	C.A. 33112	36.7500	NA	S
147	1	3	Andersson, Mr. August Edvard (“Wennerstrom”)	male	27.00	0	0	350043	7.7958	NA	S
148	0	3	Ford, Miss. Robina Maggie “Ruby”	female	9.00	2	2	W./C. 6608	34.3750	NA	S
149	0	2	Navratil, Mr. Michel (“Louis M Hoffman”)	male	36.50	0	2	230080	26.0000	F2	S
150	0	2	Byles, Rev. Thomas Roussel Davids	male	42.00	0	0	244310	13.0000	NA	S
151	0	2	Bateman, Rev. Robert James	male	51.00	0	0	S.O.P. 1166	12.5250	NA	S
152	1	1	Pears, Mrs. Thomas (Edith Wearne)	female	22.00	1	0	113776	66.6000	C2	S
153	0	3	Meo, Mr. Alfonzo	male	55.50	0	0	A.5. 11206	8.0500	NA	S
154	0	3	van Billiard, Mr. Austin Blyler	male	40.50	0	2	A/5. 851	14.5000	NA	S
155	0	3	Olsen, Mr. Ole Martin	male	NA	0	0	Fa 265302	7.3125	NA	S
156	0	1	Williams, Mr. Charles Duane	male	51.00	0	1	PC 17597	61.3792	NA	C
157	1	3	Gilnagh, Miss. Katherine “Katie”	female	16.00	0	0	35851	7.7333	NA	Q
158	0	3	Corn, Mr. Harry	male	30.00	0	0	SOTON/OQ 392090	8.0500	NA	S
159	0	3	Smiljanic, Mr. Mile	male	NA	0	0	315037	8.6625	NA	S
160	0	3	Sage, Master. Thomas Henry	male	NA	8	2	CA. 2343	69.5500	NA	S
161	0	3	Cribb, Mr. John Hatfield	male	44.00	0	1	371362	16.1000	NA	S
162	1	2	Watt, Mrs. James (Elizabeth “Bessie” Inglis Milne)	female	40.00	0	0	C.A. 33595	15.7500	NA	S
163	0	3	Bengtsson, Mr. John Viktor	male	26.00	0	0	347068	7.7750	NA	S
164	0	3	Calic, Mr. Jovo	male	17.00	0	0	315093	8.6625	NA	S
165	0	3	Panula, Master. Eino Viljami	male	1.00	4	1	3101295	39.6875	NA	S
166	1	3	Goldsmith, Master. Frank John William “Frankie”	male	9.00	0	2	363291	20.5250	NA	S
167	1	1	Chibnall, Mrs. (Edith Martha Bowerman)	female	NA	0	1	113505	55.0000	E33	S
168	0	3	Skoog, Mrs. William (Anna Bernhardina Karlsson)	female	45.00	1	4	347088	27.9000	NA	S
169	0	1	Baumann, Mr. John D	male	NA	0	0	PC 17318	25.9250	NA	S
170	0	3	Ling, Mr. Lee	male	28.00	0	0	1601	56.4958	NA	S
171	0	1	Van der hoef, Mr. Wyckoff	male	61.00	0	0	111240	33.5000	B19	S
172	0	3	Rice, Master. Arthur	male	4.00	4	1	382652	29.1250	NA	Q
173	1	3	Johnson, Miss. Eleanor Ileen	female	1.00	1	1	347742	11.1333	NA	S
174	0	3	Sivola, Mr. Antti Wilhelm	male	21.00	0	0	STON/O 2. 3101280	7.9250	NA	S
175	0	1	Smith, Mr. James Clinch	male	56.00	0	0	17764	30.6958	A7	C
176	0	3	Klasen, Mr. Klas Albin	male	18.00	1	1	350404	7.8542	NA	S
177	0	3	Lefebre, Master. Henry Forbes	male	NA	3	1	4133	25.4667	NA	S
178	0	1	Isham, Miss. Ann Elizabeth	female	50.00	0	0	PC 17595	28.7125	C49	C
179	0	2	Hale, Mr. Reginald	male	30.00	0	0	250653	13.0000	NA	S
180	0	3	Leonard, Mr. Lionel	male	36.00	0	0	LINE	0.0000	NA	S
181	0	3	Sage, Miss. Constance Gladys	female	NA	8	2	CA. 2343	69.5500	NA	S
182	0	2	Pernot, Mr. Rene	male	NA	0	0	SC/PARIS 2131	15.0500	NA	C
183	0	3	Asplund, Master. Clarence Gustaf Hugo	male	9.00	4	2	347077	31.3875	NA	S
184	1	2	Becker, Master. Richard F	male	1.00	2	1	230136	39.0000	F4	S
185	1	3	Kink-Heilmann, Miss. Luise Gretchen	female	4.00	0	2	315153	22.0250	NA	S
186	0	1	Rood, Mr. Hugh Roscoe	male	NA	0	0	113767	50.0000	A32	S
187	1	3	O’Brien, Mrs. Thomas (Johanna “Hannah” Godfrey)	female	NA	1	0	370365	15.5000	NA	Q
188	1	1	Romaine, Mr. Charles Hallace (“Mr C Rolmane”)	male	45.00	0	0	111428	26.5500	NA	S
189	0	3	Bourke, Mr. John	male	40.00	1	1	364849	15.5000	NA	Q
190	0	3	Turcin, Mr. Stjepan	male	36.00	0	0	349247	7.8958	NA	S
191	1	2	Pinsky, Mrs. (Rosa)	female	32.00	0	0	234604	13.0000	NA	S
192	0	2	Carbines, Mr. William	male	19.00	0	0	28424	13.0000	NA	S
193	1	3	Andersen-Jensen, Miss. Carla Christine Nielsine	female	19.00	1	0	350046	7.8542	NA	S
194	1	2	Navratil, Master. Michel M	male	3.00	1	1	230080	26.0000	F2	S
195	1	1	Brown, Mrs. James Joseph (Margaret Tobin)	female	44.00	0	0	PC 17610	27.7208	B4	C
196	1	1	Lurette, Miss. Elise	female	58.00	0	0	PC 17569	146.5208	B80	C
197	0	3	Mernagh, Mr. Robert	male	NA	0	0	368703	7.7500	NA	Q
198	0	3	Olsen, Mr. Karl Siegwart Andreas	male	42.00	0	1	4579	8.4042	NA	S
199	1	3	Madigan, Miss. Margaret “Maggie”	female	NA	0	0	370370	7.7500	NA	Q
200	0	2	Yrois, Miss. Henriette (“Mrs Harbeck”)	female	24.00	0	0	248747	13.0000	NA	S
201	0	3	Vande Walle, Mr. Nestor Cyriel	male	28.00	0	0	345770	9.5000	NA	S
202	0	3	Sage, Mr. Frederick	male	NA	8	2	CA. 2343	69.5500	NA	S
203	0	3	Johanson, Mr. Jakob Alfred	male	34.00	0	0	3101264	6.4958	NA	S
204	0	3	Youseff, Mr. Gerious	male	45.50	0	0	2628	7.2250	NA	C
205	1	3	Cohen, Mr. Gurshon “Gus”	male	18.00	0	0	A/5 3540	8.0500	NA	S
206	0	3	Strom, Miss. Telma Matilda	female	2.00	0	1	347054	10.4625	G6	S
207	0	3	Backstrom, Mr. Karl Alfred	male	32.00	1	0	3101278	15.8500	NA	S
208	1	3	Albimona, Mr. Nassef Cassem	male	26.00	0	0	2699	18.7875	NA	C
209	1	3	Carr, Miss. Helen “Ellen”	female	16.00	0	0	367231	7.7500	NA	Q
210	1	1	Blank, Mr. Henry	male	40.00	0	0	112277	31.0000	A31	C
211	0	3	Ali, Mr. Ahmed	male	24.00	0	0	SOTON/O.Q. 3101311	7.0500	NA	S
212	1	2	Cameron, Miss. Clear Annie	female	35.00	0	0	F.C.C. 13528	21.0000	NA	S
213	0	3	Perkin, Mr. John Henry	male	22.00	0	0	A/5 21174	7.2500	NA	S
214	0	2	Givard, Mr. Hans Kristensen	male	30.00	0	0	250646	13.0000	NA	S
215	0	3	Kiernan, Mr. Philip	male	NA	1	0	367229	7.7500	NA	Q
216	1	1	Newell, Miss. Madeleine	female	31.00	1	0	35273	113.2750	D36	C
217	1	3	Honkanen, Miss. Eliina	female	27.00	0	0	STON/O2. 3101283	7.9250	NA	S
218	0	2	Jacobsohn, Mr. Sidney Samuel	male	42.00	1	0	243847	27.0000	NA	S
219	1	1	Bazzani, Miss. Albina	female	32.00	0	0	11813	76.2917	D15	C
220	0	2	Harris, Mr. Walter	male	30.00	0	0	W/C 14208	10.5000	NA	S
221	1	3	Sunderland, Mr. Victor Francis	male	16.00	0	0	SOTON/OQ 392089	8.0500	NA	S
222	0	2	Bracken, Mr. James H	male	27.00	0	0	220367	13.0000	NA	S
223	0	3	Green, Mr. George Henry	male	51.00	0	0	21440	8.0500	NA	S
224	0	3	Nenkoff, Mr. Christo	male	NA	0	0	349234	7.8958	NA	S
225	1	1	Hoyt, Mr. Frederick Maxfield	male	38.00	1	0	19943	90.0000	C93	S
226	0	3	Berglund, Mr. Karl Ivar Sven	male	22.00	0	0	PP 4348	9.3500	NA	S
227	1	2	Mellors, Mr. William John	male	19.00	0	0	SW/PP 751	10.5000	NA	S
228	0	3	Lovell, Mr. John Hall (“Henry”)	male	20.50	0	0	A/5 21173	7.2500	NA	S
229	0	2	Fahlstrom, Mr. Arne Jonas	male	18.00	0	0	236171	13.0000	NA	S
230	0	3	Lefebre, Miss. Mathilde	female	NA	3	1	4133	25.4667	NA	S
231	1	1	Harris, Mrs. Henry Birkhardt (Irene Wallach)	female	35.00	1	0	36973	83.4750	C83	S
232	0	3	Larsson, Mr. Bengt Edvin	male	29.00	0	0	347067	7.7750	NA	S
233	0	2	Sjostedt, Mr. Ernst Adolf	male	59.00	0	0	237442	13.5000	NA	S
234	1	3	Asplund, Miss. Lillian Gertrud	female	5.00	4	2	347077	31.3875	NA	S
235	0	2	Leyson, Mr. Robert William Norman	male	24.00	0	0	C.A. 29566	10.5000	NA	S
236	0	3	Harknett, Miss. Alice Phoebe	female	NA	0	0	W./C. 6609	7.5500	NA	S
237	0	2	Hold, Mr. Stephen	male	44.00	1	0	26707	26.0000	NA	S
238	1	2	Collyer, Miss. Marjorie “Lottie”	female	8.00	0	2	C.A. 31921	26.2500	NA	S
239	0	2	Pengelly, Mr. Frederick William	male	19.00	0	0	28665	10.5000	NA	S
240	0	2	Hunt, Mr. George Henry	male	33.00	0	0	SCO/W 1585	12.2750	NA	S
241	0	3	Zabour, Miss. Thamine	female	NA	1	0	2665	14.4542	NA	C
242	1	3	Murphy, Miss. Katherine “Kate”	female	NA	1	0	367230	15.5000	NA	Q
243	0	2	Coleridge, Mr. Reginald Charles	male	29.00	0	0	W./C. 14263	10.5000	NA	S
244	0	3	Maenpaa, Mr. Matti Alexanteri	male	22.00	0	0	STON/O 2. 3101275	7.1250	NA	S
245	0	3	Attalah, Mr. Sleiman	male	30.00	0	0	2694	7.2250	NA	C
246	0	1	Minahan, Dr. William Edward	male	44.00	2	0	19928	90.0000	C78	Q
247	0	3	Lindahl, Miss. Agda Thorilda Viktoria	female	25.00	0	0	347071	7.7750	NA	S
248	1	2	Hamalainen, Mrs. William (Anna)	female	24.00	0	2	250649	14.5000	NA	S
249	1	1	Beckwith, Mr. Richard Leonard	male	37.00	1	1	11751	52.5542	D35	S
250	0	2	Carter, Rev. Ernest Courtenay	male	54.00	1	0	244252	26.0000	NA	S
251	0	3	Reed, Mr. James George	male	NA	0	0	362316	7.2500	NA	S
252	0	3	Strom, Mrs. Wilhelm (Elna Matilda Persson)	female	29.00	1	1	347054	10.4625	G6	S
253	0	1	Stead, Mr. William Thomas	male	62.00	0	0	113514	26.5500	C87	S
254	0	3	Lobb, Mr. William Arthur	male	30.00	1	0	A/5. 3336	16.1000	NA	S
255	0	3	Rosblom, Mrs. Viktor (Helena Wilhelmina)	female	41.00	0	2	370129	20.2125	NA	S
256	1	3	Touma, Mrs. Darwis (Hanne Youssef Razi)	female	29.00	0	2	2650	15.2458	NA	C
257	1	1	Thorne, Mrs. Gertrude Maybelle	female	NA	0	0	PC 17585	79.2000	NA	C
258	1	1	Cherry, Miss. Gladys	female	30.00	0	0	110152	86.5000	B77	S
259	1	1	Ward, Miss. Anna	female	35.00	0	0	PC 17755	512.3292	NA	C
260	1	2	Parrish, Mrs. (Lutie Davis)	female	50.00	0	1	230433	26.0000	NA	S
261	0	3	Smith, Mr. Thomas	male	NA	0	0	384461	7.7500	NA	Q
262	1	3	Asplund, Master. Edvin Rojj Felix	male	3.00	4	2	347077	31.3875	NA	S
263	0	1	Taussig, Mr. Emil	male	52.00	1	1	110413	79.6500	E67	S
264	0	1	Harrison, Mr. William	male	40.00	0	0	112059	0.0000	B94	S
265	0	3	Henry, Miss. Delia	female	NA	0	0	382649	7.7500	NA	Q
266	0	2	Reeves, Mr. David	male	36.00	0	0	C.A. 17248	10.5000	NA	S
267	0	3	Panula, Mr. Ernesti Arvid	male	16.00	4	1	3101295	39.6875	NA	S
268	1	3	Persson, Mr. Ernst Ulrik	male	25.00	1	0	347083	7.7750	NA	S
269	1	1	Graham, Mrs. William Thompson (Edith Junkins)	female	58.00	0	1	PC 17582	153.4625	C125	S
270	1	1	Bissette, Miss. Amelia	female	35.00	0	0	PC 17760	135.6333	C99	S
271	0	1	Cairns, Mr. Alexander	male	NA	0	0	113798	31.0000	NA	S
272	1	3	Tornquist, Mr. William Henry	male	25.00	0	0	LINE	0.0000	NA	S
273	1	2	Mellinger, Mrs. (Elizabeth Anne Maidment)	female	41.00	0	1	250644	19.5000	NA	S
274	0	1	Natsch, Mr. Charles H	male	37.00	0	1	PC 17596	29.7000	C118	C
275	1	3	Healy, Miss. Hanora “Nora”	female	NA	0	0	370375	7.7500	NA	Q
276	1	1	Andrews, Miss. Kornelia Theodosia	female	63.00	1	0	13502	77.9583	D7	S
277	0	3	Lindblom, Miss. Augusta Charlotta	female	45.00	0	0	347073	7.7500	NA	S
278	0	2	Parkes, Mr. Francis “Frank”	male	NA	0	0	239853	0.0000	NA	S
279	0	3	Rice, Master. Eric	male	7.00	4	1	382652	29.1250	NA	Q
280	1	3	Abbott, Mrs. Stanton (Rosa Hunt)	female	35.00	1	1	C.A. 2673	20.2500	NA	S
281	0	3	Duane, Mr. Frank	male	65.00	0	0	336439	7.7500	NA	Q
282	0	3	Olsson, Mr. Nils Johan Goransson	male	28.00	0	0	347464	7.8542	NA	S
283	0	3	de Pelsmaeker, Mr. Alfons	male	16.00	0	0	345778	9.5000	NA	S
284	1	3	Dorking, Mr. Edward Arthur	male	19.00	0	0	A/5. 10482	8.0500	NA	S
285	0	1	Smith, Mr. Richard William	male	NA	0	0	113056	26.0000	A19	S
286	0	3	Stankovic, Mr. Ivan	male	33.00	0	0	349239	8.6625	NA	C
287	1	3	de Mulder, Mr. Theodore	male	30.00	0	0	345774	9.5000	NA	S
288	0	3	Naidenoff, Mr. Penko	male	22.00	0	0	349206	7.8958	NA	S
289	1	2	Hosono, Mr. Masabumi	male	42.00	0	0	237798	13.0000	NA	S
290	1	3	Connolly, Miss. Kate	female	22.00	0	0	370373	7.7500	NA	Q
291	1	1	Barber, Miss. Ellen “Nellie”	female	26.00	0	0	19877	78.8500	NA	S
292	1	1	Bishop, Mrs. Dickinson H (Helen Walton)	female	19.00	1	0	11967	91.0792	B49	C
293	0	2	Levy, Mr. Rene Jacques	male	36.00	0	0	SC/Paris 2163	12.8750	D	C
294	0	3	Haas, Miss. Aloisia	female	24.00	0	0	349236	8.8500	NA	S
295	0	3	Mineff, Mr. Ivan	male	24.00	0	0	349233	7.8958	NA	S
296	0	1	Lewy, Mr. Ervin G	male	NA	0	0	PC 17612	27.7208	NA	C
297	0	3	Hanna, Mr. Mansour	male	23.50	0	0	2693	7.2292	NA	C
298	0	1	Allison, Miss. Helen Loraine	female	2.00	1	2	113781	151.5500	C22 C26	S
299	1	1	Saalfeld, Mr. Adolphe	male	NA	0	0	19988	30.5000	C106	S
300	1	1	Baxter, Mrs. James (Helene DeLaudeniere Chaput)	female	50.00	0	1	PC 17558	247.5208	B58 B60	C
301	1	3	Kelly, Miss. Anna Katherine “Annie Kate”	female	NA	0	0	9234	7.7500	NA	Q
302	1	3	McCoy, Mr. Bernard	male	NA	2	0	367226	23.2500	NA	Q
303	0	3	Johnson, Mr. William Cahoone Jr	male	19.00	0	0	LINE	0.0000	NA	S
304	1	2	Keane, Miss. Nora A	female	NA	0	0	226593	12.3500	E101	Q
305	0	3	Williams, Mr. Howard Hugh “Harry”	male	NA	0	0	A/5 2466	8.0500	NA	S
306	1	1	Allison, Master. Hudson Trevor	male	0.92	1	2	113781	151.5500	C22 C26	S
307	1	1	Fleming, Miss. Margaret	female	NA	0	0	17421	110.8833	NA	C
308	1	1	Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)	female	17.00	1	0	PC 17758	108.9000	C65	C
309	0	2	Abelson, Mr. Samuel	male	30.00	1	0	P/PP 3381	24.0000	NA	C
310	1	1	Francatelli, Miss. Laura Mabel	female	30.00	0	0	PC 17485	56.9292	E36	C
311	1	1	Hays, Miss. Margaret Bechstein	female	24.00	0	0	11767	83.1583	C54	C
312	1	1	Ryerson, Miss. Emily Borie	female	18.00	2	2	PC 17608	262.3750	B57 B59 B63 B66	C
313	0	2	Lahtinen, Mrs. William (Anna Sylfven)	female	26.00	1	1	250651	26.0000	NA	S
314	0	3	Hendekovic, Mr. Ignjac	male	28.00	0	0	349243	7.8958	NA	S
315	0	2	Hart, Mr. Benjamin	male	43.00	1	1	F.C.C. 13529	26.2500	NA	S
316	1	3	Nilsson, Miss. Helmina Josefina	female	26.00	0	0	347470	7.8542	NA	S
317	1	2	Kantor, Mrs. Sinai (Miriam Sternin)	female	24.00	1	0	244367	26.0000	NA	S
318	0	2	Moraweck, Dr. Ernest	male	54.00	0	0	29011	14.0000	NA	S
319	1	1	Wick, Miss. Mary Natalie	female	31.00	0	2	36928	164.8667	C7	S
320	1	1	Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)	female	40.00	1	1	16966	134.5000	E34	C
321	0	3	Dennis, Mr. Samuel	male	22.00	0	0	A/5 21172	7.2500	NA	S
322	0	3	Danoff, Mr. Yoto	male	27.00	0	0	349219	7.8958	NA	S
323	1	2	Slayter, Miss. Hilda Mary	female	30.00	0	0	234818	12.3500	NA	Q
324	1	2	Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)	female	22.00	1	1	248738	29.0000	NA	S
325	0	3	Sage, Mr. George John Jr	male	NA	8	2	CA. 2343	69.5500	NA	S
326	1	1	Young, Miss. Marie Grice	female	36.00	0	0	PC 17760	135.6333	C32	C
327	0	3	Nysveen, Mr. Johan Hansen	male	61.00	0	0	345364	6.2375	NA	S
328	1	2	Ball, Mrs. (Ada E Hall)	female	36.00	0	0	28551	13.0000	D	S
329	1	3	Goldsmith, Mrs. Frank John (Emily Alice Brown)	female	31.00	1	1	363291	20.5250	NA	S
330	1	1	Hippach, Miss. Jean Gertrude	female	16.00	0	1	111361	57.9792	B18	C
331	1	3	McCoy, Miss. Agnes	female	NA	2	0	367226	23.2500	NA	Q
332	0	1	Partner, Mr. Austen	male	45.50	0	0	113043	28.5000	C124	S
333	0	1	Graham, Mr. George Edward	male	38.00	0	1	PC 17582	153.4625	C91	S
334	0	3	Vander Planke, Mr. Leo Edmondus	male	16.00	2	0	345764	18.0000	NA	S
335	1	1	Frauenthal, Mrs. Henry William (Clara Heinsheimer)	female	NA	1	0	PC 17611	133.6500	NA	S
336	0	3	Denkoff, Mr. Mitto	male	NA	0	0	349225	7.8958	NA	S
337	0	1	Pears, Mr. Thomas Clinton	male	29.00	1	0	113776	66.6000	C2	S
338	1	1	Burns, Miss. Elizabeth Margaret	female	41.00	0	0	16966	134.5000	E40	C
339	1	3	Dahl, Mr. Karl Edwart	male	45.00	0	0	7598	8.0500	NA	S
340	0	1	Blackwell, Mr. Stephen Weart	male	45.00	0	0	113784	35.5000	T	S
341	1	2	Navratil, Master. Edmond Roger	male	2.00	1	1	230080	26.0000	F2	S
342	1	1	Fortune, Miss. Alice Elizabeth	female	24.00	3	2	19950	263.0000	C23 C25 C27	S
343	0	2	Collander, Mr. Erik Gustaf	male	28.00	0	0	248740	13.0000	NA	S
344	0	2	Sedgwick, Mr. Charles Frederick Waddington	male	25.00	0	0	244361	13.0000	NA	S
345	0	2	Fox, Mr. Stanley Hubert	male	36.00	0	0	229236	13.0000	NA	S
346	1	2	Brown, Miss. Amelia “Mildred”	female	24.00	0	0	248733	13.0000	F33	S
347	1	2	Smith, Miss. Marion Elsie	female	40.00	0	0	31418	13.0000	NA	S
348	1	3	Davison, Mrs. Thomas Henry (Mary E Finck)	female	NA	1	0	386525	16.1000	NA	S
349	1	3	Coutts, Master. William Loch “William”	male	3.00	1	1	C.A. 37671	15.9000	NA	S
350	0	3	Dimic, Mr. Jovan	male	42.00	0	0	315088	8.6625	NA	S
351	0	3	Odahl, Mr. Nils Martin	male	23.00	0	0	7267	9.2250	NA	S
352	0	1	Williams-Lambert, Mr. Fletcher Fellows	male	NA	0	0	113510	35.0000	C128	S
353	0	3	Elias, Mr. Tannous	male	15.00	1	1	2695	7.2292	NA	C
354	0	3	Arnold-Franchi, Mr. Josef	male	25.00	1	0	349237	17.8000	NA	S
355	0	3	Yousif, Mr. Wazli	male	NA	0	0	2647	7.2250	NA	C
356	0	3	Vanden Steen, Mr. Leo Peter	male	28.00	0	0	345783	9.5000	NA	S
357	1	1	Bowerman, Miss. Elsie Edith	female	22.00	0	1	113505	55.0000	E33	S
358	0	2	Funk, Miss. Annie Clemmer	female	38.00	0	0	237671	13.0000	NA	S
359	1	3	McGovern, Miss. Mary	female	NA	0	0	330931	7.8792	NA	Q
360	1	3	Mockler, Miss. Helen Mary “Ellie”	female	NA	0	0	330980	7.8792	NA	Q
361	0	3	Skoog, Mr. Wilhelm	male	40.00	1	4	347088	27.9000	NA	S
362	0	2	del Carlo, Mr. Sebastiano	male	29.00	1	0	SC/PARIS 2167	27.7208	NA	C
363	0	3	Barbara, Mrs. (Catherine David)	female	45.00	0	1	2691	14.4542	NA	C
364	0	3	Asim, Mr. Adola	male	35.00	0	0	SOTON/O.Q. 3101310	7.0500	NA	S
365	0	3	O’Brien, Mr. Thomas	male	NA	1	0	370365	15.5000	NA	Q
366	0	3	Adahl, Mr. Mauritz Nils Martin	male	30.00	0	0	C 7076	7.2500	NA	S
367	1	1	Warren, Mrs. Frank Manley (Anna Sophia Atkinson)	female	60.00	1	0	110813	75.2500	D37	C
368	1	3	Moussa, Mrs. (Mantoura Boulos)	female	NA	0	0	2626	7.2292	NA	C
369	1	3	Jermyn, Miss. Annie	female	NA	0	0	14313	7.7500	NA	Q
370	1	1	Aubart, Mme. Leontine Pauline	female	24.00	0	0	PC 17477	69.3000	B35	C
371	1	1	Harder, Mr. George Achilles	male	25.00	1	0	11765	55.4417	E50	C
372	0	3	Wiklund, Mr. Jakob Alfred	male	18.00	1	0	3101267	6.4958	NA	S
373	0	3	Beavan, Mr. William Thomas	male	19.00	0	0	323951	8.0500	NA	S
374	0	1	Ringhini, Mr. Sante	male	22.00	0	0	PC 17760	135.6333	NA	C
375	0	3	Palsson, Miss. Stina Viola	female	3.00	3	1	349909	21.0750	NA	S
376	1	1	Meyer, Mrs. Edgar Joseph (Leila Saks)	female	NA	1	0	PC 17604	82.1708	NA	C
377	1	3	Landergren, Miss. Aurora Adelia	female	22.00	0	0	C 7077	7.2500	NA	S
378	0	1	Widener, Mr. Harry Elkins	male	27.00	0	2	113503	211.5000	C82	C
379	0	3	Betros, Mr. Tannous	male	20.00	0	0	2648	4.0125	NA	C
380	0	3	Gustafsson, Mr. Karl Gideon	male	19.00	0	0	347069	7.7750	NA	S
381	1	1	Bidois, Miss. Rosalie	female	42.00	0	0	PC 17757	227.5250	NA	C
382	1	3	Nakid, Miss. Maria (“Mary”)	female	1.00	0	2	2653	15.7417	NA	C
383	0	3	Tikkanen, Mr. Juho	male	32.00	0	0	STON/O 2. 3101293	7.9250	NA	S
384	1	1	Holverson, Mrs. Alexander Oskar (Mary Aline Towner)	female	35.00	1	0	113789	52.0000	NA	S
385	0	3	Plotcharsky, Mr. Vasil	male	NA	0	0	349227	7.8958	NA	S
386	0	2	Davies, Mr. Charles Henry	male	18.00	0	0	S.O.C. 14879	73.5000	NA	S
387	0	3	Goodwin, Master. Sidney Leonard	male	1.00	5	2	CA 2144	46.9000	NA	S
388	1	2	Buss, Miss. Kate	female	36.00	0	0	27849	13.0000	NA	S
389	0	3	Sadlier, Mr. Matthew	male	NA	0	0	367655	7.7292	NA	Q
390	1	2	Lehmann, Miss. Bertha	female	17.00	0	0	SC 1748	12.0000	NA	C
391	1	1	Carter, Mr. William Ernest	male	36.00	1	2	113760	120.0000	B96 B98	S
392	1	3	Jansson, Mr. Carl Olof	male	21.00	0	0	350034	7.7958	NA	S
393	0	3	Gustafsson, Mr. Johan Birger	male	28.00	2	0	3101277	7.9250	NA	S
394	1	1	Newell, Miss. Marjorie	female	23.00	1	0	35273	113.2750	D36	C
395	1	3	Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)	female	24.00	0	2	PP 9549	16.7000	G6	S
396	0	3	Johansson, Mr. Erik	male	22.00	0	0	350052	7.7958	NA	S
397	0	3	Olsson, Miss. Elina	female	31.00	0	0	350407	7.8542	NA	S
398	0	2	McKane, Mr. Peter David	male	46.00	0	0	28403	26.0000	NA	S
399	0	2	Pain, Dr. Alfred	male	23.00	0	0	244278	10.5000	NA	S
400	1	2	Trout, Mrs. William H (Jessie L)	female	28.00	0	0	240929	12.6500	NA	S
401	1	3	Niskanen, Mr. Juha	male	39.00	0	0	STON/O 2. 3101289	7.9250	NA	S
402	0	3	Adams, Mr. John	male	26.00	0	0	341826	8.0500	NA	S
403	0	3	Jussila, Miss. Mari Aina	female	21.00	1	0	4137	9.8250	NA	S
404	0	3	Hakkarainen, Mr. Pekka Pietari	male	28.00	1	0	STON/O2. 3101279	15.8500	NA	S
405	0	3	Oreskovic, Miss. Marija	female	20.00	0	0	315096	8.6625	NA	S
406	0	2	Gale, Mr. Shadrach	male	34.00	1	0	28664	21.0000	NA	S
407	0	3	Widegren, Mr. Carl/Charles Peter	male	51.00	0	0	347064	7.7500	NA	S
408	1	2	Richards, Master. William Rowe	male	3.00	1	1	29106	18.7500	NA	S
409	0	3	Birkeland, Mr. Hans Martin Monsen	male	21.00	0	0	312992	7.7750	NA	S
410	0	3	Lefebre, Miss. Ida	female	NA	3	1	4133	25.4667	NA	S
411	0	3	Sdycoff, Mr. Todor	male	NA	0	0	349222	7.8958	NA	S
412	0	3	Hart, Mr. Henry	male	NA	0	0	394140	6.8583	NA	Q
413	1	1	Minahan, Miss. Daisy E	female	33.00	1	0	19928	90.0000	C78	Q
414	0	2	Cunningham, Mr. Alfred Fleming	male	NA	0	0	239853	0.0000	NA	S
415	1	3	Sundman, Mr. Johan Julian	male	44.00	0	0	STON/O 2. 3101269	7.9250	NA	S
416	0	3	Meek, Mrs. Thomas (Annie Louise Rowley)	female	NA	0	0	343095	8.0500	NA	S
417	1	2	Drew, Mrs. James Vivian (Lulu Thorne Christian)	female	34.00	1	1	28220	32.5000	NA	S
418	1	2	Silven, Miss. Lyyli Karoliina	female	18.00	0	2	250652	13.0000	NA	S
419	0	2	Matthews, Mr. William John	male	30.00	0	0	28228	13.0000	NA	S
420	0	3	Van Impe, Miss. Catharina	female	10.00	0	2	345773	24.1500	NA	S
421	0	3	Gheorgheff, Mr. Stanio	male	NA	0	0	349254	7.8958	NA	C
422	0	3	Charters, Mr. David	male	21.00	0	0	A/5. 13032	7.7333	NA	Q
423	0	3	Zimmerman, Mr. Leo	male	29.00	0	0	315082	7.8750	NA	S
424	0	3	Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)	female	28.00	1	1	347080	14.4000	NA	S
425	0	3	Rosblom, Mr. Viktor Richard	male	18.00	1	1	370129	20.2125	NA	S
426	0	3	Wiseman, Mr. Phillippe	male	NA	0	0	A/4. 34244	7.2500	NA	S
427	1	2	Clarke, Mrs. Charles V (Ada Maria Winfield)	female	28.00	1	0	2003	26.0000	NA	S
428	1	2	Phillips, Miss. Kate Florence (“Mrs Kate Louise Phillips Marshall”)	female	19.00	0	0	250655	26.0000	NA	S
429	0	3	Flynn, Mr. James	male	NA	0	0	364851	7.7500	NA	Q
430	1	3	Pickard, Mr. Berk (Berk Trembisky)	male	32.00	0	0	SOTON/O.Q. 392078	8.0500	E10	S
431	1	1	Bjornstrom-Steffansson, Mr. Mauritz Hakan	male	28.00	0	0	110564	26.5500	C52	S
432	1	3	Thorneycroft, Mrs. Percival (Florence Kate White)	female	NA	1	0	376564	16.1000	NA	S
433	1	2	Louch, Mrs. Charles Alexander (Alice Adelaide Slow)	female	42.00	1	0	SC/AH 3085	26.0000	NA	S
434	0	3	Kallio, Mr. Nikolai Erland	male	17.00	0	0	STON/O 2. 3101274	7.1250	NA	S
435	0	1	Silvey, Mr. William Baird	male	50.00	1	0	13507	55.9000	E44	S
436	1	1	Carter, Miss. Lucile Polk	female	14.00	1	2	113760	120.0000	B96 B98	S
437	0	3	Ford, Miss. Doolina Margaret “Daisy”	female	21.00	2	2	W./C. 6608	34.3750	NA	S
438	1	2	Richards, Mrs. Sidney (Emily Hocking)	female	24.00	2	3	29106	18.7500	NA	S
439	0	1	Fortune, Mr. Mark	male	64.00	1	4	19950	263.0000	C23 C25 C27	S
440	0	2	Kvillner, Mr. Johan Henrik Johannesson	male	31.00	0	0	C.A. 18723	10.5000	NA	S
441	1	2	Hart, Mrs. Benjamin (Esther Ada Bloomfield)	female	45.00	1	1	F.C.C. 13529	26.2500	NA	S
442	0	3	Hampe, Mr. Leon	male	20.00	0	0	345769	9.5000	NA	S
443	0	3	Petterson, Mr. Johan Emil	male	25.00	1	0	347076	7.7750	NA	S
444	1	2	Reynaldo, Ms. Encarnacion	female	28.00	0	0	230434	13.0000	NA	S
445	1	3	Johannesen-Bratthammer, Mr. Bernt	male	NA	0	0	65306	8.1125	NA	S
446	1	1	Dodge, Master. Washington	male	4.00	0	2	33638	81.8583	A34	S
447	1	2	Mellinger, Miss. Madeleine Violet	female	13.00	0	1	250644	19.5000	NA	S
448	1	1	Seward, Mr. Frederic Kimber	male	34.00	0	0	113794	26.5500	NA	S
449	1	3	Baclini, Miss. Marie Catherine	female	5.00	2	1	2666	19.2583	NA	C
450	1	1	Peuchen, Major. Arthur Godfrey	male	52.00	0	0	113786	30.5000	C104	S
451	0	2	West, Mr. Edwy Arthur	male	36.00	1	2	C.A. 34651	27.7500	NA	S
452	0	3	Hagland, Mr. Ingvald Olai Olsen	male	NA	1	0	65303	19.9667	NA	S
453	0	1	Foreman, Mr. Benjamin Laventall	male	30.00	0	0	113051	27.7500	C111	C
454	1	1	Goldenberg, Mr. Samuel L	male	49.00	1	0	17453	89.1042	C92	C
455	0	3	Peduzzi, Mr. Joseph	male	NA	0	0	A/5 2817	8.0500	NA	S
456	1	3	Jalsevac, Mr. Ivan	male	29.00	0	0	349240	7.8958	NA	C
457	0	1	Millet, Mr. Francis Davis	male	65.00	0	0	13509	26.5500	E38	S
458	1	1	Kenyon, Mrs. Frederick R (Marion)	female	NA	1	0	17464	51.8625	D21	S
459	1	2	Toomey, Miss. Ellen	female	50.00	0	0	F.C.C. 13531	10.5000	NA	S
460	0	3	O’Connor, Mr. Maurice	male	NA	0	0	371060	7.7500	NA	Q
461	1	1	Anderson, Mr. Harry	male	48.00	0	0	19952	26.5500	E12	S
462	0	3	Morley, Mr. William	male	34.00	0	0	364506	8.0500	NA	S
463	0	1	Gee, Mr. Arthur H	male	47.00	0	0	111320	38.5000	E63	S
464	0	2	Milling, Mr. Jacob Christian	male	48.00	0	0	234360	13.0000	NA	S
465	0	3	Maisner, Mr. Simon	male	NA	0	0	A/S 2816	8.0500	NA	S
466	0	3	Goncalves, Mr. Manuel Estanslas	male	38.00	0	0	SOTON/O.Q. 3101306	7.0500	NA	S
467	0	2	Campbell, Mr. William	male	NA	0	0	239853	0.0000	NA	S
468	0	1	Smart, Mr. John Montgomery	male	56.00	0	0	113792	26.5500	NA	S
469	0	3	Scanlan, Mr. James	male	NA	0	0	36209	7.7250	NA	Q
470	1	3	Baclini, Miss. Helene Barbara	female	0.75	2	1	2666	19.2583	NA	C
471	0	3	Keefe, Mr. Arthur	male	NA	0	0	323592	7.2500	NA	S
472	0	3	Cacic, Mr. Luka	male	38.00	0	0	315089	8.6625	NA	S
473	1	2	West, Mrs. Edwy Arthur (Ada Mary Worth)	female	33.00	1	2	C.A. 34651	27.7500	NA	S
474	1	2	Jerwan, Mrs. Amin S (Marie Marthe Thuillard)	female	23.00	0	0	SC/AH Basle 541	13.7917	D	C
475	0	3	Strandberg, Miss. Ida Sofia	female	22.00	0	0	7553	9.8375	NA	S
476	0	1	Clifford, Mr. George Quincy	male	NA	0	0	110465	52.0000	A14	S
477	0	2	Renouf, Mr. Peter Henry	male	34.00	1	0	31027	21.0000	NA	S
478	0	3	Braund, Mr. Lewis Richard	male	29.00	1	0	3460	7.0458	NA	S
479	0	3	Karlsson, Mr. Nils August	male	22.00	0	0	350060	7.5208	NA	S
480	1	3	Hirvonen, Miss. Hildur E	female	2.00	0	1	3101298	12.2875	NA	S
481	0	3	Goodwin, Master. Harold Victor	male	9.00	5	2	CA 2144	46.9000	NA	S
482	0	2	Frost, Mr. Anthony Wood “Archie”	male	NA	0	0	239854	0.0000	NA	S
483	0	3	Rouse, Mr. Richard Henry	male	50.00	0	0	A/5 3594	8.0500	NA	S
484	1	3	Turkula, Mrs. (Hedwig)	female	63.00	0	0	4134	9.5875	NA	S
485	1	1	Bishop, Mr. Dickinson H	male	25.00	1	0	11967	91.0792	B49	C
486	0	3	Lefebre, Miss. Jeannie	female	NA	3	1	4133	25.4667	NA	S
487	1	1	Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)	female	35.00	1	0	19943	90.0000	C93	S
488	0	1	Kent, Mr. Edward Austin	male	58.00	0	0	11771	29.7000	B37	C
489	0	3	Somerton, Mr. Francis William	male	30.00	0	0	A.5. 18509	8.0500	NA	S
490	1	3	Coutts, Master. Eden Leslie “Neville”	male	9.00	1	1	C.A. 37671	15.9000	NA	S
491	0	3	Hagland, Mr. Konrad Mathias Reiersen	male	NA	1	0	65304	19.9667	NA	S
492	0	3	Windelov, Mr. Einar	male	21.00	0	0	SOTON/OQ 3101317	7.2500	NA	S
493	0	1	Molson, Mr. Harry Markland	male	55.00	0	0	113787	30.5000	C30	S
494	0	1	Artagaveytia, Mr. Ramon	male	71.00	0	0	PC 17609	49.5042	NA	C
495	0	3	Stanley, Mr. Edward Roland	male	21.00	0	0	A/4 45380	8.0500	NA	S
496	0	3	Yousseff, Mr. Gerious	male	NA	0	0	2627	14.4583	NA	C
497	1	1	Eustis, Miss. Elizabeth Mussey	female	54.00	1	0	36947	78.2667	D20	C
498	0	3	Shellard, Mr. Frederick William	male	NA	0	0	C.A. 6212	15.1000	NA	S
499	0	1	Allison, Mrs. Hudson J C (Bessie Waldo Daniels)	female	25.00	1	2	113781	151.5500	C22 C26	S
500	0	3	Svensson, Mr. Olof	male	24.00	0	0	350035	7.7958	NA	S
501	0	3	Calic, Mr. Petar	male	17.00	0	0	315086	8.6625	NA	S
502	0	3	Canavan, Miss. Mary	female	21.00	0	0	364846	7.7500	NA	Q
503	0	3	O’Sullivan, Miss. Bridget Mary	female	NA	0	0	330909	7.6292	NA	Q
504	0	3	Laitinen, Miss. Kristina Sofia	female	37.00	0	0	4135	9.5875	NA	S
505	1	1	Maioni, Miss. Roberta	female	16.00	0	0	110152	86.5000	B79	S
506	0	1	Penasco y Castellana, Mr. Victor de Satode	male	18.00	1	0	PC 17758	108.9000	C65	C
507	1	2	Quick, Mrs. Frederick Charles (Jane Richards)	female	33.00	0	2	26360	26.0000	NA	S
508	1	1	Bradley, Mr. George (“George Arthur Brayton”)	male	NA	0	0	111427	26.5500	NA	S
509	0	3	Olsen, Mr. Henry Margido	male	28.00	0	0	C 4001	22.5250	NA	S
510	1	3	Lang, Mr. Fang	male	26.00	0	0	1601	56.4958	NA	S
511	1	3	Daly, Mr. Eugene Patrick	male	29.00	0	0	382651	7.7500	NA	Q
512	0	3	Webber, Mr. James	male	NA	0	0	SOTON/OQ 3101316	8.0500	NA	S
513	1	1	McGough, Mr. James Robert	male	36.00	0	0	PC 17473	26.2875	E25	S
514	1	1	Rothschild, Mrs. Martin (Elizabeth L. Barrett)	female	54.00	1	0	PC 17603	59.4000	NA	C
515	0	3	Coleff, Mr. Satio	male	24.00	0	0	349209	7.4958	NA	S
516	0	1	Walker, Mr. William Anderson	male	47.00	0	0	36967	34.0208	D46	S
517	1	2	Lemore, Mrs. (Amelia Milley)	female	34.00	0	0	C.A. 34260	10.5000	F33	S
518	0	3	Ryan, Mr. Patrick	male	NA	0	0	371110	24.1500	NA	Q
519	1	2	Angle, Mrs. William A (Florence “Mary” Agnes Hughes)	female	36.00	1	0	226875	26.0000	NA	S
520	0	3	Pavlovic, Mr. Stefo	male	32.00	0	0	349242	7.8958	NA	S
521	1	1	Perreault, Miss. Anne	female	30.00	0	0	12749	93.5000	B73	S
522	0	3	Vovk, Mr. Janko	male	22.00	0	0	349252	7.8958	NA	S
523	0	3	Lahoud, Mr. Sarkis	male	NA	0	0	2624	7.2250	NA	C
524	1	1	Hippach, Mrs. Louis Albert (Ida Sophia Fischer)	female	44.00	0	1	111361	57.9792	B18	C
525	0	3	Kassem, Mr. Fared	male	NA	0	0	2700	7.2292	NA	C
526	0	3	Farrell, Mr. James	male	40.50	0	0	367232	7.7500	NA	Q
527	1	2	Ridsdale, Miss. Lucy	female	50.00	0	0	W./C. 14258	10.5000	NA	S
528	0	1	Farthing, Mr. John	male	NA	0	0	PC 17483	221.7792	C95	S
529	0	3	Salonen, Mr. Johan Werner	male	39.00	0	0	3101296	7.9250	NA	S
530	0	2	Hocking, Mr. Richard George	male	23.00	2	1	29104	11.5000	NA	S
531	1	2	Quick, Miss. Phyllis May	female	2.00	1	1	26360	26.0000	NA	S
532	0	3	Toufik, Mr. Nakli	male	NA	0	0	2641	7.2292	NA	C
533	0	3	Elias, Mr. Joseph Jr	male	17.00	1	1	2690	7.2292	NA	C
534	1	3	Peter, Mrs. Catherine (Catherine Rizk)	female	NA	0	2	2668	22.3583	NA	C
535	0	3	Cacic, Miss. Marija	female	30.00	0	0	315084	8.6625	NA	S
536	1	2	Hart, Miss. Eva Miriam	female	7.00	0	2	F.C.C. 13529	26.2500	NA	S
537	0	1	Butt, Major. Archibald Willingham	male	45.00	0	0	113050	26.5500	B38	S
538	1	1	LeRoy, Miss. Bertha	female	30.00	0	0	PC 17761	106.4250	NA	C
539	0	3	Risien, Mr. Samuel Beard	male	NA	0	0	364498	14.5000	NA	S
540	1	1	Frolicher, Miss. Hedwig Margaritha	female	22.00	0	2	13568	49.5000	B39	C
541	1	1	Crosby, Miss. Harriet R	female	36.00	0	2	WE/P 5735	71.0000	B22	S
542	0	3	Andersson, Miss. Ingeborg Constanzia	female	9.00	4	2	347082	31.2750	NA	S
543	0	3	Andersson, Miss. Sigrid Elisabeth	female	11.00	4	2	347082	31.2750	NA	S
544	1	2	Beane, Mr. Edward	male	32.00	1	0	2908	26.0000	NA	S
545	0	1	Douglas, Mr. Walter Donald	male	50.00	1	0	PC 17761	106.4250	C86	C
546	0	1	Nicholson, Mr. Arthur Ernest	male	64.00	0	0	693	26.0000	NA	S
547	1	2	Beane, Mrs. Edward (Ethel Clarke)	female	19.00	1	0	2908	26.0000	NA	S
548	1	2	Padro y Manent, Mr. Julian	male	NA	0	0	SC/PARIS 2146	13.8625	NA	C
549	0	3	Goldsmith, Mr. Frank John	male	33.00	1	1	363291	20.5250	NA	S
550	1	2	Davies, Master. John Morgan Jr	male	8.00	1	1	C.A. 33112	36.7500	NA	S
551	1	1	Thayer, Mr. John Borland Jr	male	17.00	0	2	17421	110.8833	C70	C
552	0	2	Sharp, Mr. Percival James R	male	27.00	0	0	244358	26.0000	NA	S
553	0	3	O’Brien, Mr. Timothy	male	NA	0	0	330979	7.8292	NA	Q
554	1	3	Leeni, Mr. Fahim (“Philip Zenni”)	male	22.00	0	0	2620	7.2250	NA	C
555	1	3	Ohman, Miss. Velin	female	22.00	0	0	347085	7.7750	NA	S
556	0	1	Wright, Mr. George	male	62.00	0	0	113807	26.5500	NA	S
557	1	1	Duff Gordon, Lady. (Lucille Christiana Sutherland) (“Mrs Morgan”)	female	48.00	1	0	11755	39.6000	A16	C
558	0	1	Robbins, Mr. Victor	male	NA	0	0	PC 17757	227.5250	NA	C
559	1	1	Taussig, Mrs. Emil (Tillie Mandelbaum)	female	39.00	1	1	110413	79.6500	E67	S
560	1	3	de Messemaeker, Mrs. Guillaume Joseph (Emma)	female	36.00	1	0	345572	17.4000	NA	S
561	0	3	Morrow, Mr. Thomas Rowan	male	NA	0	0	372622	7.7500	NA	Q
562	0	3	Sivic, Mr. Husein	male	40.00	0	0	349251	7.8958	NA	S
563	0	2	Norman, Mr. Robert Douglas	male	28.00	0	0	218629	13.5000	NA	S
564	0	3	Simmons, Mr. John	male	NA	0	0	SOTON/OQ 392082	8.0500	NA	S
565	0	3	Meanwell, Miss. (Marion Ogden)	female	NA	0	0	SOTON/O.Q. 392087	8.0500	NA	S
566	0	3	Davies, Mr. Alfred J	male	24.00	2	0	A/4 48871	24.1500	NA	S
567	0	3	Stoytcheff, Mr. Ilia	male	19.00	0	0	349205	7.8958	NA	S
568	0	3	Palsson, Mrs. Nils (Alma Cornelia Berglund)	female	29.00	0	4	349909	21.0750	NA	S
569	0	3	Doharr, Mr. Tannous	male	NA	0	0	2686	7.2292	NA	C
570	1	3	Jonsson, Mr. Carl	male	32.00	0	0	350417	7.8542	NA	S
571	1	2	Harris, Mr. George	male	62.00	0	0	S.W./PP 752	10.5000	NA	S
572	1	1	Appleton, Mrs. Edward Dale (Charlotte Lamson)	female	53.00	2	0	11769	51.4792	C101	S
573	1	1	Flynn, Mr. John Irwin (“Irving”)	male	36.00	0	0	PC 17474	26.3875	E25	S
574	1	3	Kelly, Miss. Mary	female	NA	0	0	14312	7.7500	NA	Q
575	0	3	Rush, Mr. Alfred George John	male	16.00	0	0	A/4. 20589	8.0500	NA	S
576	0	3	Patchett, Mr. George	male	19.00	0	0	358585	14.5000	NA	S
577	1	2	Garside, Miss. Ethel	female	34.00	0	0	243880	13.0000	NA	S
578	1	1	Silvey, Mrs. William Baird (Alice Munger)	female	39.00	1	0	13507	55.9000	E44	S
579	0	3	Caram, Mrs. Joseph (Maria Elias)	female	NA	1	0	2689	14.4583	NA	C
580	1	3	Jussila, Mr. Eiriik	male	32.00	0	0	STON/O 2. 3101286	7.9250	NA	S
581	1	2	Christy, Miss. Julie Rachel	female	25.00	1	1	237789	30.0000	NA	S
582	1	1	Thayer, Mrs. John Borland (Marian Longstreth Morris)	female	39.00	1	1	17421	110.8833	C68	C
583	0	2	Downton, Mr. William James	male	54.00	0	0	28403	26.0000	NA	S
584	0	1	Ross, Mr. John Hugo	male	36.00	0	0	13049	40.1250	A10	C
585	0	3	Paulner, Mr. Uscher	male	NA	0	0	3411	8.7125	NA	C
586	1	1	Taussig, Miss. Ruth	female	18.00	0	2	110413	79.6500	E68	S
587	0	2	Jarvis, Mr. John Denzil	male	47.00	0	0	237565	15.0000	NA	S
588	1	1	Frolicher-Stehli, Mr. Maxmillian	male	60.00	1	1	13567	79.2000	B41	C
589	0	3	Gilinski, Mr. Eliezer	male	22.00	0	0	14973	8.0500	NA	S
590	0	3	Murdlin, Mr. Joseph	male	NA	0	0	A./5. 3235	8.0500	NA	S
591	0	3	Rintamaki, Mr. Matti	male	35.00	0	0	STON/O 2. 3101273	7.1250	NA	S
592	1	1	Stephenson, Mrs. Walter Bertram (Martha Eustis)	female	52.00	1	0	36947	78.2667	D20	C
593	0	3	Elsbury, Mr. William James	male	47.00	0	0	A/5 3902	7.2500	NA	S
594	0	3	Bourke, Miss. Mary	female	NA	0	2	364848	7.7500	NA	Q
595	0	2	Chapman, Mr. John Henry	male	37.00	1	0	SC/AH 29037	26.0000	NA	S
596	0	3	Van Impe, Mr. Jean Baptiste	male	36.00	1	1	345773	24.1500	NA	S
597	1	2	Leitch, Miss. Jessie Wills	female	NA	0	0	248727	33.0000	NA	S
598	0	3	Johnson, Mr. Alfred	male	49.00	0	0	LINE	0.0000	NA	S
599	0	3	Boulos, Mr. Hanna	male	NA	0	0	2664	7.2250	NA	C
600	1	1	Duff Gordon, Sir. Cosmo Edmund (“Mr Morgan”)	male	49.00	1	0	PC 17485	56.9292	A20	C
601	1	2	Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)	female	24.00	2	1	243847	27.0000	NA	S
602	0	3	Slabenoff, Mr. Petco	male	NA	0	0	349214	7.8958	NA	S
603	0	1	Harrington, Mr. Charles H	male	NA	0	0	113796	42.4000	NA	S
604	0	3	Torber, Mr. Ernst William	male	44.00	0	0	364511	8.0500	NA	S
605	1	1	Homer, Mr. Harry (“Mr E Haven”)	male	35.00	0	0	111426	26.5500	NA	C
606	0	3	Lindell, Mr. Edvard Bengtsson	male	36.00	1	0	349910	15.5500	NA	S
607	0	3	Karaic, Mr. Milan	male	30.00	0	0	349246	7.8958	NA	S
608	1	1	Daniel, Mr. Robert Williams	male	27.00	0	0	113804	30.5000	NA	S
609	1	2	Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)	female	22.00	1	2	SC/Paris 2123	41.5792	NA	C
610	1	1	Shutes, Miss. Elizabeth W	female	40.00	0	0	PC 17582	153.4625	C125	S
611	0	3	Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren)	female	39.00	1	5	347082	31.2750	NA	S
612	0	3	Jardin, Mr. Jose Neto	male	NA	0	0	SOTON/O.Q. 3101305	7.0500	NA	S
613	1	3	Murphy, Miss. Margaret Jane	female	NA	1	0	367230	15.5000	NA	Q
614	0	3	Horgan, Mr. John	male	NA	0	0	370377	7.7500	NA	Q
615	0	3	Brocklebank, Mr. William Alfred	male	35.00	0	0	364512	8.0500	NA	S
616	1	2	Herman, Miss. Alice	female	24.00	1	2	220845	65.0000	NA	S
617	0	3	Danbom, Mr. Ernst Gilbert	male	34.00	1	1	347080	14.4000	NA	S
618	0	3	Lobb, Mrs. William Arthur (Cordelia K Stanlick)	female	26.00	1	0	A/5. 3336	16.1000	NA	S
619	1	2	Becker, Miss. Marion Louise	female	4.00	2	1	230136	39.0000	F4	S
620	0	2	Gavey, Mr. Lawrence	male	26.00	0	0	31028	10.5000	NA	S
621	0	3	Yasbeck, Mr. Antoni	male	27.00	1	0	2659	14.4542	NA	C
622	1	1	Kimball, Mr. Edwin Nelson Jr	male	42.00	1	0	11753	52.5542	D19	S
623	1	3	Nakid, Mr. Sahid	male	20.00	1	1	2653	15.7417	NA	C
624	0	3	Hansen, Mr. Henry Damsgaard	male	21.00	0	0	350029	7.8542	NA	S
625	0	3	Bowen, Mr. David John “Dai”	male	21.00	0	0	54636	16.1000	NA	S
626	0	1	Sutton, Mr. Frederick	male	61.00	0	0	36963	32.3208	D50	S
627	0	2	Kirkland, Rev. Charles Leonard	male	57.00	0	0	219533	12.3500	NA	Q
628	1	1	Longley, Miss. Gretchen Fiske	female	21.00	0	0	13502	77.9583	D9	S
629	0	3	Bostandyeff, Mr. Guentcho	male	26.00	0	0	349224	7.8958	NA	S
630	0	3	O’Connell, Mr. Patrick D	male	NA	0	0	334912	7.7333	NA	Q
631	1	1	Barkworth, Mr. Algernon Henry Wilson	male	80.00	0	0	27042	30.0000	A23	S
632	0	3	Lundahl, Mr. Johan Svensson	male	51.00	0	0	347743	7.0542	NA	S
633	1	1	Stahelin-Maeglin, Dr. Max	male	32.00	0	0	13214	30.5000	B50	C
634	0	1	Parr, Mr. William Henry Marsh	male	NA	0	0	112052	0.0000	NA	S
635	0	3	Skoog, Miss. Mabel	female	9.00	3	2	347088	27.9000	NA	S
636	1	2	Davis, Miss. Mary	female	28.00	0	0	237668	13.0000	NA	S
637	0	3	Leinonen, Mr. Antti Gustaf	male	32.00	0	0	STON/O 2. 3101292	7.9250	NA	S
638	0	2	Collyer, Mr. Harvey	male	31.00	1	1	C.A. 31921	26.2500	NA	S
639	0	3	Panula, Mrs. Juha (Maria Emilia Ojala)	female	41.00	0	5	3101295	39.6875	NA	S
640	0	3	Thorneycroft, Mr. Percival	male	NA	1	0	376564	16.1000	NA	S
641	0	3	Jensen, Mr. Hans Peder	male	20.00	0	0	350050	7.8542	NA	S
642	1	1	Sagesser, Mlle. Emma	female	24.00	0	0	PC 17477	69.3000	B35	C
643	0	3	Skoog, Miss. Margit Elizabeth	female	2.00	3	2	347088	27.9000	NA	S
644	1	3	Foo, Mr. Choong	male	NA	0	0	1601	56.4958	NA	S
645	1	3	Baclini, Miss. Eugenie	female	0.75	2	1	2666	19.2583	NA	C
646	1	1	Harper, Mr. Henry Sleeper	male	48.00	1	0	PC 17572	76.7292	D33	C
647	0	3	Cor, Mr. Liudevit	male	19.00	0	0	349231	7.8958	NA	S
648	1	1	Simonius-Blumer, Col. Oberst Alfons	male	56.00	0	0	13213	35.5000	A26	C
649	0	3	Willey, Mr. Edward	male	NA	0	0	S.O./P.P. 751	7.5500	NA	S
650	1	3	Stanley, Miss. Amy Zillah Elsie	female	23.00	0	0	CA. 2314	7.5500	NA	S
651	0	3	Mitkoff, Mr. Mito	male	NA	0	0	349221	7.8958	NA	S
652	1	2	Doling, Miss. Elsie	female	18.00	0	1	231919	23.0000	NA	S
653	0	3	Kalvik, Mr. Johannes Halvorsen	male	21.00	0	0	8475	8.4333	NA	S
654	1	3	O’Leary, Miss. Hanora “Norah”	female	NA	0	0	330919	7.8292	NA	Q
655	0	3	Hegarty, Miss. Hanora “Nora”	female	18.00	0	0	365226	6.7500	NA	Q
656	0	2	Hickman, Mr. Leonard Mark	male	24.00	2	0	S.O.C. 14879	73.5000	NA	S
657	0	3	Radeff, Mr. Alexander	male	NA	0	0	349223	7.8958	NA	S
658	0	3	Bourke, Mrs. John (Catherine)	female	32.00	1	1	364849	15.5000	NA	Q
659	0	2	Eitemiller, Mr. George Floyd	male	23.00	0	0	29751	13.0000	NA	S
660	0	1	Newell, Mr. Arthur Webster	male	58.00	0	2	35273	113.2750	D48	C
661	1	1	Frauenthal, Dr. Henry William	male	50.00	2	0	PC 17611	133.6500	NA	S
662	0	3	Badt, Mr. Mohamed	male	40.00	0	0	2623	7.2250	NA	C
663	0	1	Colley, Mr. Edward Pomeroy	male	47.00	0	0	5727	25.5875	E58	S
664	0	3	Coleff, Mr. Peju	male	36.00	0	0	349210	7.4958	NA	S
665	1	3	Lindqvist, Mr. Eino William	male	20.00	1	0	STON/O 2. 3101285	7.9250	NA	S
666	0	2	Hickman, Mr. Lewis	male	32.00	2	0	S.O.C. 14879	73.5000	NA	S
667	0	2	Butler, Mr. Reginald Fenton	male	25.00	0	0	234686	13.0000	NA	S
668	0	3	Rommetvedt, Mr. Knud Paust	male	NA	0	0	312993	7.7750	NA	S
669	0	3	Cook, Mr. Jacob	male	43.00	0	0	A/5 3536	8.0500	NA	S
670	1	1	Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)	female	NA	1	0	19996	52.0000	C126	S
671	1	2	Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)	female	40.00	1	1	29750	39.0000	NA	S
672	0	1	Davidson, Mr. Thornton	male	31.00	1	0	F.C. 12750	52.0000	B71	S
673	0	2	Mitchell, Mr. Henry Michael	male	70.00	0	0	C.A. 24580	10.5000	NA	S
674	1	2	Wilhelms, Mr. Charles	male	31.00	0	0	244270	13.0000	NA	S
675	0	2	Watson, Mr. Ennis Hastings	male	NA	0	0	239856	0.0000	NA	S
676	0	3	Edvardsson, Mr. Gustaf Hjalmar	male	18.00	0	0	349912	7.7750	NA	S
677	0	3	Sawyer, Mr. Frederick Charles	male	24.50	0	0	342826	8.0500	NA	S
678	1	3	Turja, Miss. Anna Sofia	female	18.00	0	0	4138	9.8417	NA	S
679	0	3	Goodwin, Mrs. Frederick (Augusta Tyler)	female	43.00	1	6	CA 2144	46.9000	NA	S
680	1	1	Cardeza, Mr. Thomas Drake Martinez	male	36.00	0	1	PC 17755	512.3292	B51 B53 B55	C
681	0	3	Peters, Miss. Katie	female	NA	0	0	330935	8.1375	NA	Q
682	1	1	Hassab, Mr. Hammad	male	27.00	0	0	PC 17572	76.7292	D49	C
683	0	3	Olsvigen, Mr. Thor Anderson	male	20.00	0	0	6563	9.2250	NA	S
684	0	3	Goodwin, Mr. Charles Edward	male	14.00	5	2	CA 2144	46.9000	NA	S
685	0	2	Brown, Mr. Thomas William Solomon	male	60.00	1	1	29750	39.0000	NA	S
686	0	2	Laroche, Mr. Joseph Philippe Lemercier	male	25.00	1	2	SC/Paris 2123	41.5792	NA	C
687	0	3	Panula, Mr. Jaako Arnold	male	14.00	4	1	3101295	39.6875	NA	S
688	0	3	Dakic, Mr. Branko	male	19.00	0	0	349228	10.1708	NA	S
689	0	3	Fischer, Mr. Eberhard Thelander	male	18.00	0	0	350036	7.7958	NA	S
690	1	1	Madill, Miss. Georgette Alexandra	female	15.00	0	1	24160	211.3375	B5	S
691	1	1	Dick, Mr. Albert Adrian	male	31.00	1	0	17474	57.0000	B20	S
692	1	3	Karun, Miss. Manca	female	4.00	0	1	349256	13.4167	NA	C
693	1	3	Lam, Mr. Ali	male	NA	0	0	1601	56.4958	NA	S
694	0	3	Saad, Mr. Khalil	male	25.00	0	0	2672	7.2250	NA	C
695	0	1	Weir, Col. John	male	60.00	0	0	113800	26.5500	NA	S
696	0	2	Chapman, Mr. Charles Henry	male	52.00	0	0	248731	13.5000	NA	S
697	0	3	Kelly, Mr. James	male	44.00	0	0	363592	8.0500	NA	S
698	1	3	Mullens, Miss. Katherine “Katie”	female	NA	0	0	35852	7.7333	NA	Q
699	0	1	Thayer, Mr. John Borland	male	49.00	1	1	17421	110.8833	C68	C
700	0	3	Humblen, Mr. Adolf Mathias Nicolai Olsen	male	42.00	0	0	348121	7.6500	F G63	S
701	1	1	Astor, Mrs. John Jacob (Madeleine Talmadge Force)	female	18.00	1	0	PC 17757	227.5250	C62 C64	C
702	1	1	Silverthorne, Mr. Spencer Victor	male	35.00	0	0	PC 17475	26.2875	E24	S
703	0	3	Barbara, Miss. Saiide	female	18.00	0	1	2691	14.4542	NA	C
704	0	3	Gallagher, Mr. Martin	male	25.00	0	0	36864	7.7417	NA	Q
705	0	3	Hansen, Mr. Henrik Juul	male	26.00	1	0	350025	7.8542	NA	S
706	0	2	Morley, Mr. Henry Samuel (“Mr Henry Marshall”)	male	39.00	0	0	250655	26.0000	NA	S
707	1	2	Kelly, Mrs. Florence “Fannie”	female	45.00	0	0	223596	13.5000	NA	S
708	1	1	Calderhead, Mr. Edward Pennington	male	42.00	0	0	PC 17476	26.2875	E24	S
709	1	1	Cleaver, Miss. Alice	female	22.00	0	0	113781	151.5500	NA	S
710	1	3	Moubarek, Master. Halim Gonios (“William George”)	male	NA	1	1	2661	15.2458	NA	C
711	1	1	Mayne, Mlle. Berthe Antonine (“Mrs de Villiers”)	female	24.00	0	0	PC 17482	49.5042	C90	C
712	0	1	Klaber, Mr. Herman	male	NA	0	0	113028	26.5500	C124	S
713	1	1	Taylor, Mr. Elmer Zebley	male	48.00	1	0	19996	52.0000	C126	S
714	0	3	Larsson, Mr. August Viktor	male	29.00	0	0	7545	9.4833	NA	S
715	0	2	Greenberg, Mr. Samuel	male	52.00	0	0	250647	13.0000	NA	S
716	0	3	Soholt, Mr. Peter Andreas Lauritz Andersen	male	19.00	0	0	348124	7.6500	F G73	S
717	1	1	Endres, Miss. Caroline Louise	female	38.00	0	0	PC 17757	227.5250	C45	C
718	1	2	Troutt, Miss. Edwina Celia “Winnie”	female	27.00	0	0	34218	10.5000	E101	S
719	0	3	McEvoy, Mr. Michael	male	NA	0	0	36568	15.5000	NA	Q
720	0	3	Johnson, Mr. Malkolm Joackim	male	33.00	0	0	347062	7.7750	NA	S
721	1	2	Harper, Miss. Annie Jessie “Nina”	female	6.00	0	1	248727	33.0000	NA	S
722	0	3	Jensen, Mr. Svend Lauritz	male	17.00	1	0	350048	7.0542	NA	S
723	0	2	Gillespie, Mr. William Henry	male	34.00	0	0	12233	13.0000	NA	S
724	0	2	Hodges, Mr. Henry Price	male	50.00	0	0	250643	13.0000	NA	S
725	1	1	Chambers, Mr. Norman Campbell	male	27.00	1	0	113806	53.1000	E8	S
726	0	3	Oreskovic, Mr. Luka	male	20.00	0	0	315094	8.6625	NA	S
727	1	2	Renouf, Mrs. Peter Henry (Lillian Jefferys)	female	30.00	3	0	31027	21.0000	NA	S
728	1	3	Mannion, Miss. Margareth	female	NA	0	0	36866	7.7375	NA	Q
729	0	2	Bryhl, Mr. Kurt Arnold Gottfrid	male	25.00	1	0	236853	26.0000	NA	S
730	0	3	Ilmakangas, Miss. Pieta Sofia	female	25.00	1	0	STON/O2. 3101271	7.9250	NA	S
731	1	1	Allen, Miss. Elisabeth Walton	female	29.00	0	0	24160	211.3375	B5	S
732	0	3	Hassan, Mr. Houssein G N	male	11.00	0	0	2699	18.7875	NA	C
733	0	2	Knight, Mr. Robert J	male	NA	0	0	239855	0.0000	NA	S
734	0	2	Berriman, Mr. William John	male	23.00	0	0	28425	13.0000	NA	S
735	0	2	Troupiansky, Mr. Moses Aaron	male	23.00	0	0	233639	13.0000	NA	S
736	0	3	Williams, Mr. Leslie	male	28.50	0	0	54636	16.1000	NA	S
737	0	3	Ford, Mrs. Edward (Margaret Ann Watson)	female	48.00	1	3	W./C. 6608	34.3750	NA	S
738	1	1	Lesurer, Mr. Gustave J	male	35.00	0	0	PC 17755	512.3292	B101	C
739	0	3	Ivanoff, Mr. Kanio	male	NA	0	0	349201	7.8958	NA	S
740	0	3	Nankoff, Mr. Minko	male	NA	0	0	349218	7.8958	NA	S
741	1	1	Hawksford, Mr. Walter James	male	NA	0	0	16988	30.0000	D45	S
742	0	1	Cavendish, Mr. Tyrell William	male	36.00	1	0	19877	78.8500	C46	S
743	1	1	Ryerson, Miss. Susan Parker “Suzette”	female	21.00	2	2	PC 17608	262.3750	B57 B59 B63 B66	C
744	0	3	McNamee, Mr. Neal	male	24.00	1	0	376566	16.1000	NA	S
745	1	3	Stranden, Mr. Juho	male	31.00	0	0	STON/O 2. 3101288	7.9250	NA	S
746	0	1	Crosby, Capt. Edward Gifford	male	70.00	1	1	WE/P 5735	71.0000	B22	S
747	0	3	Abbott, Mr. Rossmore Edward	male	16.00	1	1	C.A. 2673	20.2500	NA	S
748	1	2	Sinkkonen, Miss. Anna	female	30.00	0	0	250648	13.0000	NA	S
749	0	1	Marvin, Mr. Daniel Warner	male	19.00	1	0	113773	53.1000	D30	S
750	0	3	Connaghton, Mr. Michael	male	31.00	0	0	335097	7.7500	NA	Q
751	1	2	Wells, Miss. Joan	female	4.00	1	1	29103	23.0000	NA	S
752	1	3	Moor, Master. Meier	male	6.00	0	1	392096	12.4750	E121	S
753	0	3	Vande Velde, Mr. Johannes Joseph	male	33.00	0	0	345780	9.5000	NA	S
754	0	3	Jonkoff, Mr. Lalio	male	23.00	0	0	349204	7.8958	NA	S
755	1	2	Herman, Mrs. Samuel (Jane Laver)	female	48.00	1	2	220845	65.0000	NA	S
756	1	2	Hamalainen, Master. Viljo	male	0.67	1	1	250649	14.5000	NA	S
757	0	3	Carlsson, Mr. August Sigfrid	male	28.00	0	0	350042	7.7958	NA	S
758	0	2	Bailey, Mr. Percy Andrew	male	18.00	0	0	29108	11.5000	NA	S
759	0	3	Theobald, Mr. Thomas Leonard	male	34.00	0	0	363294	8.0500	NA	S
760	1	1	Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)	female	33.00	0	0	110152	86.5000	B77	S
761	0	3	Garfirth, Mr. John	male	NA	0	0	358585	14.5000	NA	S
762	0	3	Nirva, Mr. Iisakki Antino Aijo	male	41.00	0	0	SOTON/O2 3101272	7.1250	NA	S
763	1	3	Barah, Mr. Hanna Assi	male	20.00	0	0	2663	7.2292	NA	C
764	1	1	Carter, Mrs. William Ernest (Lucile Polk)	female	36.00	1	2	113760	120.0000	B96 B98	S
765	0	3	Eklund, Mr. Hans Linus	male	16.00	0	0	347074	7.7750	NA	S
766	1	1	Hogeboom, Mrs. John C (Anna Andrews)	female	51.00	1	0	13502	77.9583	D11	S
767	0	1	Brewe, Dr. Arthur Jackson	male	NA	0	0	112379	39.6000	NA	C
768	0	3	Mangan, Miss. Mary	female	30.50	0	0	364850	7.7500	NA	Q
769	0	3	Moran, Mr. Daniel J	male	NA	1	0	371110	24.1500	NA	Q
770	0	3	Gronnestad, Mr. Daniel Danielsen	male	32.00	0	0	8471	8.3625	NA	S
771	0	3	Lievens, Mr. Rene Aime	male	24.00	0	0	345781	9.5000	NA	S
772	0	3	Jensen, Mr. Niels Peder	male	48.00	0	0	350047	7.8542	NA	S
773	0	2	Mack, Mrs. (Mary)	female	57.00	0	0	S.O./P.P. 3	10.5000	E77	S
774	0	3	Elias, Mr. Dibo	male	NA	0	0	2674	7.2250	NA	C
775	1	2	Hocking, Mrs. Elizabeth (Eliza Needs)	female	54.00	1	3	29105	23.0000	NA	S
776	0	3	Myhrman, Mr. Pehr Fabian Oliver Malkolm	male	18.00	0	0	347078	7.7500	NA	S
777	0	3	Tobin, Mr. Roger	male	NA	0	0	383121	7.7500	F38	Q
778	1	3	Emanuel, Miss. Virginia Ethel	female	5.00	0	0	364516	12.4750	NA	S
779	0	3	Kilgannon, Mr. Thomas J	male	NA	0	0	36865	7.7375	NA	Q
780	1	1	Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)	female	43.00	0	1	24160	211.3375	B3	S
781	1	3	Ayoub, Miss. Banoura	female	13.00	0	0	2687	7.2292	NA	C
782	1	1	Dick, Mrs. Albert Adrian (Vera Gillespie)	female	17.00	1	0	17474	57.0000	B20	S
783	0	1	Long, Mr. Milton Clyde	male	29.00	0	0	113501	30.0000	D6	S
784	0	3	Johnston, Mr. Andrew G	male	NA	1	2	W./C. 6607	23.4500	NA	S
785	0	3	Ali, Mr. William	male	25.00	0	0	SOTON/O.Q. 3101312	7.0500	NA	S
786	0	3	Harmer, Mr. Abraham (David Lishin)	male	25.00	0	0	374887	7.2500	NA	S
787	1	3	Sjoblom, Miss. Anna Sofia	female	18.00	0	0	3101265	7.4958	NA	S
788	0	3	Rice, Master. George Hugh	male	8.00	4	1	382652	29.1250	NA	Q
789	1	3	Dean, Master. Bertram Vere	male	1.00	1	2	C.A. 2315	20.5750	NA	S
790	0	1	Guggenheim, Mr. Benjamin	male	46.00	0	0	PC 17593	79.2000	B82 B84	C
791	0	3	Keane, Mr. Andrew “Andy”	male	NA	0	0	12460	7.7500	NA	Q
792	0	2	Gaskell, Mr. Alfred	male	16.00	0	0	239865	26.0000	NA	S
793	0	3	Sage, Miss. Stella Anna	female	NA	8	2	CA. 2343	69.5500	NA	S
794	0	1	Hoyt, Mr. William Fisher	male	NA	0	0	PC 17600	30.6958	NA	C
795	0	3	Dantcheff, Mr. Ristiu	male	25.00	0	0	349203	7.8958	NA	S
796	0	2	Otter, Mr. Richard	male	39.00	0	0	28213	13.0000	NA	S
797	1	1	Leader, Dr. Alice (Farnham)	female	49.00	0	0	17465	25.9292	D17	S
798	1	3	Osman, Mrs. Mara	female	31.00	0	0	349244	8.6833	NA	S
799	0	3	Ibrahim Shawah, Mr. Yousseff	male	30.00	0	0	2685	7.2292	NA	C
800	0	3	Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)	female	30.00	1	1	345773	24.1500	NA	S
801	0	2	Ponesell, Mr. Martin	male	34.00	0	0	250647	13.0000	NA	S
802	1	2	Collyer, Mrs. Harvey (Charlotte Annie Tate)	female	31.00	1	1	C.A. 31921	26.2500	NA	S
803	1	1	Carter, Master. William Thornton II	male	11.00	1	2	113760	120.0000	B96 B98	S
804	1	3	Thomas, Master. Assad Alexander	male	0.42	0	1	2625	8.5167	NA	C
805	1	3	Hedman, Mr. Oskar Arvid	male	27.00	0	0	347089	6.9750	NA	S
806	0	3	Johansson, Mr. Karl Johan	male	31.00	0	0	347063	7.7750	NA	S
807	0	1	Andrews, Mr. Thomas Jr	male	39.00	0	0	112050	0.0000	A36	S
808	0	3	Pettersson, Miss. Ellen Natalia	female	18.00	0	0	347087	7.7750	NA	S
809	0	2	Meyer, Mr. August	male	39.00	0	0	248723	13.0000	NA	S
810	1	1	Chambers, Mrs. Norman Campbell (Bertha Griggs)	female	33.00	1	0	113806	53.1000	E8	S
811	0	3	Alexander, Mr. William	male	26.00	0	0	3474	7.8875	NA	S
812	0	3	Lester, Mr. James	male	39.00	0	0	A/4 48871	24.1500	NA	S
813	0	2	Slemen, Mr. Richard James	male	35.00	0	0	28206	10.5000	NA	S
814	0	3	Andersson, Miss. Ebba Iris Alfrida	female	6.00	4	2	347082	31.2750	NA	S
815	0	3	Tomlin, Mr. Ernest Portage	male	30.50	0	0	364499	8.0500	NA	S
816	0	1	Fry, Mr. Richard	male	NA	0	0	112058	0.0000	B102	S
817	0	3	Heininen, Miss. Wendla Maria	female	23.00	0	0	STON/O2. 3101290	7.9250	NA	S
818	0	2	Mallet, Mr. Albert	male	31.00	1	1	S.C./PARIS 2079	37.0042	NA	C
819	0	3	Holm, Mr. John Fredrik Alexander	male	43.00	0	0	C 7075	6.4500	NA	S
820	0	3	Skoog, Master. Karl Thorsten	male	10.00	3	2	347088	27.9000	NA	S
821	1	1	Hays, Mrs. Charles Melville (Clara Jennings Gregg)	female	52.00	1	1	12749	93.5000	B69	S
822	1	3	Lulic, Mr. Nikola	male	27.00	0	0	315098	8.6625	NA	S
823	0	1	Reuchlin, Jonkheer. John George	male	38.00	0	0	19972	0.0000	NA	S
824	1	3	Moor, Mrs. (Beila)	female	27.00	0	1	392096	12.4750	E121	S
825	0	3	Panula, Master. Urho Abraham	male	2.00	4	1	3101295	39.6875	NA	S
826	0	3	Flynn, Mr. John	male	NA	0	0	368323	6.9500	NA	Q
827	0	3	Lam, Mr. Len	male	NA	0	0	1601	56.4958	NA	S
828	1	2	Mallet, Master. Andre	male	1.00	0	2	S.C./PARIS 2079	37.0042	NA	C
829	1	3	McCormack, Mr. Thomas Joseph	male	NA	0	0	367228	7.7500	NA	Q
830	1	1	Stone, Mrs. George Nelson (Martha Evelyn)	female	62.00	0	0	113572	80.0000	B28	NA
831	1	3	Yasbeck, Mrs. Antoni (Selini Alexander)	female	15.00	1	0	2659	14.4542	NA	C
832	1	2	Richards, Master. George Sibley	male	0.83	1	1	29106	18.7500	NA	S
833	0	3	Saad, Mr. Amin	male	NA	0	0	2671	7.2292	NA	C
834	0	3	Augustsson, Mr. Albert	male	23.00	0	0	347468	7.8542	NA	S
835	0	3	Allum, Mr. Owen George	male	18.00	0	0	2223	8.3000	NA	S
836	1	1	Compton, Miss. Sara Rebecca	female	39.00	1	1	PC 17756	83.1583	E49	C
837	0	3	Pasic, Mr. Jakob	male	21.00	0	0	315097	8.6625	NA	S
838	0	3	Sirota, Mr. Maurice	male	NA	0	0	392092	8.0500	NA	S
839	1	3	Chip, Mr. Chang	male	32.00	0	0	1601	56.4958	NA	S
840	1	1	Marechal, Mr. Pierre	male	NA	0	0	11774	29.7000	C47	C
841	0	3	Alhomaki, Mr. Ilmari Rudolf	male	20.00	0	0	SOTON/O2 3101287	7.9250	NA	S
842	0	2	Mudd, Mr. Thomas Charles	male	16.00	0	0	S.O./P.P. 3	10.5000	NA	S
843	1	1	Serepeca, Miss. Augusta	female	30.00	0	0	113798	31.0000	NA	C
844	0	3	Lemberopolous, Mr. Peter L	male	34.50	0	0	2683	6.4375	NA	C
845	0	3	Culumovic, Mr. Jeso	male	17.00	0	0	315090	8.6625	NA	S
846	0	3	Abbing, Mr. Anthony	male	42.00	0	0	C.A. 5547	7.5500	NA	S
847	0	3	Sage, Mr. Douglas Bullen	male	NA	8	2	CA. 2343	69.5500	NA	S
848	0	3	Markoff, Mr. Marin	male	35.00	0	0	349213	7.8958	NA	C
849	0	2	Harper, Rev. John	male	28.00	0	1	248727	33.0000	NA	S
850	1	1	Goldenberg, Mrs. Samuel L (Edwiga Grabowska)	female	NA	1	0	17453	89.1042	C92	C
851	0	3	Andersson, Master. Sigvard Harald Elias	male	4.00	4	2	347082	31.2750	NA	S
852	0	3	Svensson, Mr. Johan	male	74.00	0	0	347060	7.7750	NA	S
853	0	3	Boulos, Miss. Nourelain	female	9.00	1	1	2678	15.2458	NA	C
854	1	1	Lines, Miss. Mary Conover	female	16.00	0	1	PC 17592	39.4000	D28	S
855	0	2	Carter, Mrs. Ernest Courtenay (Lilian Hughes)	female	44.00	1	0	244252	26.0000	NA	S
856	1	3	Aks, Mrs. Sam (Leah Rosen)	female	18.00	0	1	392091	9.3500	NA	S
857	1	1	Wick, Mrs. George Dennick (Mary Hitchcock)	female	45.00	1	1	36928	164.8667	NA	S
858	1	1	Daly, Mr. Peter Denis	male	51.00	0	0	113055	26.5500	E17	S
859	1	3	Baclini, Mrs. Solomon (Latifa Qurban)	female	24.00	0	3	2666	19.2583	NA	C
860	0	3	Razi, Mr. Raihed	male	NA	0	0	2629	7.2292	NA	C
861	0	3	Hansen, Mr. Claus Peter	male	41.00	2	0	350026	14.1083	NA	S
862	0	2	Giles, Mr. Frederick Edward	male	21.00	1	0	28134	11.5000	NA	S
863	1	1	Swift, Mrs. Frederick Joel (Margaret Welles Barron)	female	48.00	0	0	17466	25.9292	D17	S
864	0	3	Sage, Miss. Dorothy Edith “Dolly”	female	NA	8	2	CA. 2343	69.5500	NA	S
865	0	2	Gill, Mr. John William	male	24.00	0	0	233866	13.0000	NA	S
866	1	2	Bystrom, Mrs. (Karolina)	female	42.00	0	0	236852	13.0000	NA	S
867	1	2	Duran y More, Miss. Asuncion	female	27.00	1	0	SC/PARIS 2149	13.8583	NA	C
868	0	1	Roebling, Mr. Washington Augustus II	male	31.00	0	0	PC 17590	50.4958	A24	S
869	0	3	van Melkebeke, Mr. Philemon	male	NA	0	0	345777	9.5000	NA	S
870	1	3	Johnson, Master. Harold Theodor	male	4.00	1	1	347742	11.1333	NA	S
871	0	3	Balkic, Mr. Cerin	male	26.00	0	0	349248	7.8958	NA	S
872	1	1	Beckwith, Mrs. Richard Leonard (Sallie Monypeny)	female	47.00	1	1	11751	52.5542	D35	S
873	0	1	Carlsson, Mr. Frans Olof	male	33.00	0	0	695	5.0000	B51 B53 B55	S
874	0	3	Vander Cruyssen, Mr. Victor	male	47.00	0	0	345765	9.0000	NA	S
875	1	2	Abelson, Mrs. Samuel (Hannah Wizosky)	female	28.00	1	0	P/PP 3381	24.0000	NA	C
876	1	3	Najib, Miss. Adele Kiamie “Jane”	female	15.00	0	0	2667	7.2250	NA	C
877	0	3	Gustafsson, Mr. Alfred Ossian	male	20.00	0	0	7534	9.8458	NA	S
878	0	3	Petroff, Mr. Nedelio	male	19.00	0	0	349212	7.8958	NA	S
879	0	3	Laleff, Mr. Kristo	male	NA	0	0	349217	7.8958	NA	S
880	1	1	Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)	female	56.00	0	1	11767	83.1583	C50	C
881	1	2	Shelley, Mrs. William (Imanita Parrish Hall)	female	25.00	0	1	230433	26.0000	NA	S
882	0	3	Markun, Mr. Johann	male	33.00	0	0	349257	7.8958	NA	S
883	0	3	Dahlberg, Miss. Gerda Ulrika	female	22.00	0	0	7552	10.5167	NA	S
884	0	2	Banfield, Mr. Frederick James	male	28.00	0	0	C.A./SOTON 34068	10.5000	NA	S
885	0	3	Sutehall, Mr. Henry Jr	male	25.00	0	0	SOTON/OQ 392076	7.0500	NA	S
886	0	3	Rice, Mrs. William (Margaret Norton)	female	39.00	0	5	382652	29.1250	NA	Q
887	0	2	Montvila, Rev. Juozas	male	27.00	0	0	211536	13.0000	NA	S
888	1	1	Graham, Miss. Margaret Edith	female	19.00	0	0	112053	30.0000	B42	S
889	0	3	Johnston, Miss. Catherine Helen “Carrie”	female	NA	1	2	W./C. 6607	23.4500	NA	S
890	1	1	Behr, Mr. Karl Howell	male	26.00	0	0	111369	30.0000	C148	C
891	0	3	Dooley, Mr. Patrick	male	32.00	0	0	370376	7.7500	NA	Q

Em que:

PassengerId → ID do passageiro;

Survived → Indica se o passageiro sobreviveu ou não à tragédia;

Pclass → Classe do ticket;

Name → Nome do passageiro;

Sex → Sexo do passageiro;

Age → Idade (em anos) do passageiro;

SibSp → Quantidade de irmão/esposas no navio;

ParCh → Quantidade de pais/filhos no navio;

Ticket → Número do ticket;

Fare → Tarifa do passageiro;

Cabin → Número da cabine do passageiro;

Embarked → Porto de embarcação do passageiro;

O objetivo é prever, para cada um no conjunto de teste, se o passageiro sobreviveu ao naufrágio do Titanic ou não.

Sua pontuação é a porcentagem de passageiros que você prevê corretamente. Essa métrica é conhecida como acurácia ou precisão.

Analisemos, agora, algumas características mais específicas da base de treino:

Análise Exploratória dos Dados

Sobreviventes

Observando qual percentual dos tripulantes da nossa base de treino sobreviveu, temos:

Idade

Tripulantes

Analisando a idade média dos tripulantes do Titanic obtemos:

## [1] 29.69912

Com a seguinte distribuição de idades:

##     0%     1%     5%    10%    25%    50%    75%    90%    95%    99%   100% 
##  0.420  1.000  4.000 14.000 20.125 28.000 38.000 50.000 56.000 65.870 80.000

Sobreviventes

Observando, agora, a idade média dos sobreviventes do Titanic obtemos:

## [1] 28.34369

Com a seguinte distribuição de idades:

##    0%    1%    5%   10%   25%   50%   75%   90%   95%   99%  100% 
##  0.42  0.75  2.45  5.00 19.00 28.00 36.00 49.00 54.00 62.11 80.00

Sexo

Tripulantes

Analisando a distribuição de gênero dos tripulantes do Titanic, temos:

Sobreviventes

Enquanto que o distribuição de gênero dos sobreviventes é bem diferente, como pode ser visto abaixo:

Classe do Ticket

Tripulantes

Já em relação à classe do ticket dos tripulantes do Titanic, obtemos:

Sobreviventes

Enquanto que a distribuião de classe do ticket dos sobreviventes é distinta, como pode ser visto a seguir:

Porto de embarque

Tripulantes

Por último, analisando a distribuição dos portos de embarque dos tripulantes, temos:

Sobreviventes

Que é semelhante à distribuição de porto de embarque dos sobreviventes:

Modelos

Inicialmente, fazemos a leitura de algumas bibliotecas que utilizaremos nos modelos aqui apresentados:

library(tidyverse)
library(caret)
library(randomForest)
library(xgboost)
library(rpart)
library(rattle)
library(keras)
library(tensorflow)

Em seguida, fazemos alguns ajustes nas bases, de forma a retirar NA’s e deixar em formatos mais compatíveis para os modelos:

## Função para calcular moda

getmode <- function(v) {
  uniqv <- unique(v)
  uniqv[which.max(tabulate(match(v, uniqv)))]
}


## Limpando a base de treino

clean_train <- train[c("Pclass", "Sex", "Age", "SibSp", "Parch", "Fare", "Embarked", "Survived")]

clean_train$Sex <- as.factor(clean_train$Sex)

clean_train$Embarked[clean_train$Embarked==""] <- getmode(clean_train$Embarked)
clean_train$Embarked[is.na(clean_train$Embarked)] <- getmode(clean_train$Embarked) 
clean_train$Embarked <- as.factor(clean_train$Embarked)

clean_train$Survived <- as.factor(clean_train$Survived)

clean_train$Pclass <- as.factor(clean_train$Pclass)

clean_train$Age[is.na(clean_train$Age)] <- mean(clean_train$Age, na.rm=TRUE)

clean_train$Fare[is.na(clean_train$Fare)] <- mean(clean_train$Fare, na.rm=TRUE)


## Limpando a base de teste

clean_test <- test[c("Pclass", "Sex", "Age", "SibSp", "Parch", "Fare", "Embarked")]

clean_test$Sex <- as.factor(clean_test$Sex)

clean_test$Embarked[clean_test$Embarked==""] <- getmode(clean_test$Embarked)
clean_test$Embarked[is.na(clean_test$Embarked)] <- getmode(clean_test$Embarked)
clean_test$Embarked <- as.factor(clean_test$Embarked)

clean_test$Pclass <- as.factor(clean_test$Pclass)

clean_test$Age[is.na(clean_test$Age)] <- mean(clean_test$Age, na.rm=TRUE)

clean_test$Fare[is.na(clean_test$Fare)] <- mean(clean_test$Fare, na.rm=TRUE)


# Definindo a semente

set.seed(25)


## Separando a base de treino em 80% para treino e 20% para validação

train_index <- createDataPartition(clean_train$Survived, p = 0.8, list = FALSE, times = 1)


## 80% treino

train_80 <- clean_train[train_index,]

x_train_80 <- train_80 %>% select(-Survived)
y_train_80 <- train_80$Survived


## 20% validação

validation_20 <- clean_train[-train_index,]

x_validation_20 <- validation_20 %>% select(-Survived)
y_validation_20 <- validation_20$Survived


## Base de teste final para treinar os modelos para submissão

x_train_100 <- clean_train %>% select(-Survived)
y_train_100 <- clean_train$Survived


## 80% validação (XGBoost)

train_80_XG <- train_80
train_80_XG[] <- lapply(train_80, function(x) as.numeric(x))

x_train_80_XG <- train_80_XG %>% select(-Survived)
y_train_80_XG <- train_80_XG$Survived


## 20% validação (XGBoost)

validation_20_XG <- validation_20
validation_20_XG[] <- lapply(validation_20, function(x) as.numeric(x))

x_validation_20_XG <- validation_20_XG %>% select(-Survived)
y_validation_20_XG <- validation_20_XG$Survived


## Base de teste final pra treinar os modelos para submissão (XGBoost)

train_100_XG <- clean_train
train_100_XG[] <- lapply(clean_train, function(x) as.numeric(x))

x_train_100_XG <- train_100_XG %>% select(-Survived)
y_train_100_XG <- train_100_XG$Survived


## Base para submissão (XGBoost)

clean_test_XG <- clean_test
clean_test_XG[] <- lapply(clean_test, function(x) as.numeric(x))


## 80% treino (Keras)

x_train_80_nn <- as.matrix(x_train_80_XG)
dimnames(x_train_80_nn) <- NULL

y_train_80_nn <- as.matrix(y_train_80_XG)
dimnames(y_train_80_nn) <- NULL
y_train_80_nn <- to_categorical(y_train_80_nn)
y_train_80_nn <- y_train_80_nn[,-1]


## 20% validação (Keras)

x_validation_20_nn <- as.matrix(x_validation_20_XG)
dimnames(x_validation_20_nn) <- NULL

y_validation_20_nn <- as.matrix(y_validation_20_XG)
dimnames(y_validation_20_nn)<-NULL
y_validation_20_nn <- to_categorical(y_validation_20_nn)
y_validation_20_nn <- y_validation_20_nn[,-1]


## Base de teste final pra treinar os modelos para submissão (Keras)

x_train_100_nn <- as.matrix(x_train_100_XG)
dimnames(x_train_100_nn) <- NULL

y_train_100_nn <- as.matrix(y_train_100_XG)
dimnames(y_train_100_nn) <- NULL
y_train_100_nn <- to_categorical(y_train_100_nn)
y_train_100_nn <- y_train_100_nn[,-1]


## Base para submissão (Keras)

clean_test_nn <- as.matrix(clean_test_XG)
dimnames(clean_test_nn) <- NULL

Random Forest

Inicialmente, nós treinamos o modelo com apenas 80% da base de treino e, a partir disso, fazemos a predição dos 20% restantes, como pode ser visto abaixo:

rf_80 <- randomForest(x = x_train_80, y = y_train_80, ntree = 200) 

rf_80_pred <- predict(rf_80, newdata = x_validation_20)

De forma que obtemos a seguinte matriz de confusão:

rf_80_cm <- table(t(y_validation_20), as.factor(rf_80_pred))
rf_80_cm

##    
##      0  1
##   0 97 12
##   1 16 52

Que nos gera a acurácia abaixo:

rf_80_accuracy <- sum(rf_80_cm[1,1] + rf_80_cm[2,2])/sum(rf_80_cm)*100
rf_80_accuracy

## [1] 84.18079

Por fim, treinamos o modelo com toda a base de treino e fazemos a predição para os dados da base de teste:

rf_100 <- randomForest(x = x_train_100, y = y_train_100, ntree = 200) 

rf_100_pred <- predict(rf_100, newdata = clean_test)

rf_100_submission <- data.frame(PassengerId = test$PassengerId)
rf_100_submission$Survived <- rf_100_pred

write.csv(rf_100_submission, file = "randomforest_submission.csv", row.names = FALSE)

Ao submeter as predições feitas por esse modelo, a acurácia encontrada foi de: 78.708%.

XGBoost

Inicialmente, nós treinamos o modelo com apenas 80% da base de treino e, a partir disso, fazemos a predição dos 20% restantes, como pode ser visto abaixo:

xg_80 <- xgboost::xgboost(data = as.matrix(x_train_80_XG), label = y_train_80_XG - 1, nrounds = 15)

## [1]  train-rmse:0.416909 
## [2]  train-rmse:0.367274 
## [3]  train-rmse:0.335270 
## [4]  train-rmse:0.312698 
## [5]  train-rmse:0.294469 
## [6]  train-rmse:0.277782 
## [7]  train-rmse:0.266058 
## [8]  train-rmse:0.262088 
## [9]  train-rmse:0.256348 
## [10] train-rmse:0.252022 
## [11] train-rmse:0.246761 
## [12] train-rmse:0.243642 
## [13] train-rmse:0.234265 
## [14] train-rmse:0.232217 
## [15] train-rmse:0.226038

xg_80_pred <- predict(xg_80, newdata = as.matrix(x_validation_20_XG))
xg_80_pred <- as.numeric(xg_80_pred >= 0.68)

De forma que obtemos a seguinte matriz de confusão:

xg_80_cm <- table(t(y_validation_20_XG), as.factor(xg_80_pred))
xg_80_cm

##    
##      0  1
##   1 98 11
##   2 16 52

Que nos gera a acurácia abaixo:

xg_80_accuracy <- sum(xg_80_cm[1,1] + xg_80_cm[2,2])/sum(xg_80_cm)*100
xg_80_accuracy

## [1] 84.74576

Por fim, treinamos o modelo com toda a base de treino e fazemos a predição para os dados da base de teste:

xg_100 <- xgboost::xgboost(data = as.matrix(x_train_100_XG), label = y_train_100_XG - 1, nrounds = 15)

## [1]  train-rmse:0.419571 
## [2]  train-rmse:0.369315 
## [3]  train-rmse:0.336108 
## [4]  train-rmse:0.315130 
## [5]  train-rmse:0.302868 
## [6]  train-rmse:0.294075 
## [7]  train-rmse:0.282383 
## [8]  train-rmse:0.270513 
## [9]  train-rmse:0.265841 
## [10] train-rmse:0.261121 
## [11] train-rmse:0.259347 
## [12] train-rmse:0.256206 
## [13] train-rmse:0.246168 
## [14] train-rmse:0.245066 
## [15] train-rmse:0.239938

xg_100_pred <- predict(xg_100, newdata = as.matrix(clean_test_XG))
xg_100_pred <- as.numeric(xg_100_pred >= 0.68)

xg_100_submission <- data.frame(PassengerId = test$PassengerId)
xg_100_submission$Survived <- xg_100_pred

write.csv(xg_100_submission, file = "xgboost_submission.csv", row.names = FALSE)

Ao submeter as predições feitas por esse modelo, a acurácia encontrada foi de: 77.033%.

Decision Tree

Inicialmente, nós treinamos o modelo com apenas 80% da base de treino e, a partir disso, fazemos a predição dos 20% restantes, como pode ser visto abaixo:

dt_80 <- rpart(Survived ~ ., data = train_80, method = "class")

dt_80_pred <- predict(dt_80, newdata = x_validation_20, type = "class")

fancyRpartPlot(dt_80, sub = "")

De forma que obtemos a seguinte matriz de confusão:

dt_80_cm <- table(t(y_validation_20), as.factor(dt_80_pred))
dt_80_cm

##    
##      0  1
##   0 88 21
##   1 16 52

Que nos gera a acurácia abaixo:

dt_80_accuracy <- sum(diag(dt_80_cm))/sum(dt_80_cm)*100 
dt_80_accuracy

## [1] 79.09605

Por fim, treinamos o modelo com toda a base de treino e fazemos a predição para os dados da base de teste:

dt_100 <- rpart(Survived ~ ., data = clean_train, method = "class")

dt_100_pred <- predict(dt_100, newdata = clean_test, type = "class")

dt_100_submission <- data.frame(PassengerId = test$PassengerId)
dt_100_submission$Survived <- dt_100_pred

write.csv(dt_100_submission, file = "decisiontree_submission.csv", row.names = FALSE)

Ao submeter as predições feitas por esse modelo, a acurácia encontrada foi de: 77.511%.

Logistic Regression

Inicialmente, nós treinamos o modelo com apenas 80% da base de treino e, a partir disso, fazemos a predição dos 20% restantes, como pode ser visto abaixo:

lr_80 <- glm(formula = Survived ~ ., family = binomial, data = train_80)

lr_80_pred <- predict(lr_80, newdata = x_validation_20, type = "response")
lr_80_pred <- as.numeric(lr_80_pred >= 0.65)

De forma que obtemos a seguinte matriz de confusão:

lr_80_cm <- table(t(y_validation_20), as.factor(lr_80_pred))
lr_80_cm

##    
##       0   1
##   0 101   8
##   1  25  43

Que nos gera a acurácia abaixo:

lr_80_accuracy <- sum(diag(lr_80_cm))/sum(lr_80_cm)*100 
lr_80_accuracy

## [1] 81.35593

Por fim, treinamos o modelo com toda a base de treino e fazemos a predição para os dados da base de teste:

lr_100 <- glm(formula = Survived ~ ., family = binomial, data = clean_train)

lr_100_pred <- predict(lr_100, newdata = clean_test, type = "response")
lr_100_pred <- as.numeric(lr_100_pred >= 0.65)

lr_100_submission <- data.frame(PassengerId = test$PassengerId)
lr_100_submission$Survived <- lr_100_pred

write.csv(lr_100_submission, file = "logisticregression_submission.csv", row.names = FALSE)

Ao submeter as predições feitas por esse modelo, a acurácia encontrada foi de: 78.708%.

Neural Network

Inicialmente, nós treinamos o modelo com apenas 80% da base de treino e, a partir disso, fazemos a predição dos 20% restantes, como pode ser visto abaixo:

nn_80 <- keras_model_sequential()

nn_80 %>% layer_dense(units = 10, activation = "relu", input_shape = c(7)) %>%
          layer_dense(units = 20, activation = "relu") %>%
          layer_dense(units = 2, activation = "sigmoid")

nn_80 %>% compile(loss = "binary_crossentropy", optimizer = "adam", metric = "accuracy")

nn_80_history <- nn_80 %>% fit(x_train_80_nn,
                          y_train_80_nn,
                          epoch = 200,
                          batch_size = 40, 
                          validation_data = list(x_validation_20_nn, y_validation_20_nn))

nn_80_pred <- nn_80 %>% predict_classes(x_validation_20_nn)

plot(nn_80_history)

De forma que obtemos a seguinte matriz de confusão:

nn_80_cm <- table(t(y_validation_20), as.factor(nn_80_pred))
nn_80_cm

##    
##      0  1
##   0 88 21
##   1 15 53

Que nos gera a acurácia abaixo:

nn_80_accuracy <- sum(diag(nn_80_cm))/sum(nn_80_cm)*100 
nn_80_accuracy

## [1] 79.66102

Por fim, treinamos o modelo com toda a base de treino e fazemos a predição para os dados da base de teste:

nn_100 <- keras_model_sequential()

nn_100 %>% layer_dense(units = 10, activation = "relu", input_shape = c(7)) %>%
           layer_dense(units = 20, activation = "relu") %>%
           layer_dense(units = 2, activation = "sigmoid")

nn_100 %>% compile(loss = "binary_crossentropy", optimizer = "adam", metric = "accuracy")

nn_100_history <- nn_100 %>% fit(x_train_100_nn,
                                 y_train_100_nn,
                                 epoch = 200,
                                 batch_size = 40)

nn_100_pred <- nn_100 %>% predict_classes(clean_test_nn)

nn_100_submission <- data.frame(PassengerId = test$PassengerId)
nn_100_submission$Survived <- nn_100_pred

write_csv(nn_100_submission, "neuralnet_submission.csv")

Ao submeter as predições feitas por esse modelo, a acurácia encontrada foi de: 72.488%.

Resultado Final

Em síntese, comparando os resultados de todos os modelos, obtemos a tabela abaixo:

Modelo	Acurácia (20% base de treino)	Acurácia (base de teste)
Random Forest	84.181%	78.708%
XGBoost	84.746%	77.033%
Decision Tree	79.096%	77.511%
Logistic Regression	81.356%	78.708%
Neural Network	79.661%	75.358%

Estatística Descritiva - Titanic

Matheus Leite Queiroz Nunes

07 de maio de 2021

Banco de Dados - Titanic

Análise Exploratória dos Dados

Sobreviventes

Idade

Tripulantes

Sobreviventes

Sexo

Tripulantes

Sobreviventes

Classe do Ticket

Tripulantes

Sobreviventes

Porto de embarque

Tripulantes

Sobreviventes

Modelos

Random Forest

XGBoost

Decision Tree

Logistic Regression

Neural Network

Resultado Final