R Markdown

Nhiệm vụ 2.1

Tổng quan về dữ liệu

Nguồn dữ liệu

Bộ dữ liệu ’ ADO 2022_Inflation’, bao gồm nhiều biến khác nhau về sự lạm phát của các nước từ năm 2017 - 2023

Đọc dữ liệu từ file ‘ADO 2022_Inflation’

Tải lên gói xlsx

library(xlsx)
# Dùng câu lệnh 'read.xlsx' đọc dữ liệu từ file xlsx đưa vào R dưới dạng khung dữ liệu có tên 'dataset'

# Sử dụng 'sheetIndex = 1' để đọc trang đầu tiên. 'header = T' nếu đúng thì dòng đầu tiên được làm tên các biến
e <- read.xlsx(file.choose(), sheetIndex = 1, header = T)
e
NA. X2017 X2018 X2019 X2020 X2021 X2022 X2023
Armenia 1.0 2.5 1.40 1.2 7.2 9 7.5
Azerbaijan 12.9 2.3 2.60 2.8 6.7 7 5.3
Georgia 6.0 2.6 4.90 5.2 9.6 7 4
Kazakhstan 7.5 6.0 5.28 6.8 8 7.8 6.4
Kyrgyz Republic 3.2 1.5 1.10 6.3 11.9 15 12
Tajikistan 6.7 5.4 8.00 9.4 8 15 10
Turkmenistan 8.0 13.2 13.00 10.0 12.5 13 10
Uzbekistan 13.7 17.5 14.60 12.9 10.7 9 8
Hong Kong, China 1.5 2.3 2.90 0.3 1.6 2.3 2
Mongolia 4.3 6.8 7.30 3.7 7.1 12.4 9.3
People’s Republic of China 1.6 2.1 2.90 2.5 0.9 2.3 2
Republic of Korea 1.9 1.5 0.40 0.5 2.5 3.2 2
Taipei,China 0.6 1.3 0.60 -0.2 2 1.9 1.6
Afghanistan 5.0 0.6 2.30 5.6 5.2
Bangladesh 5.4 5.8 5.50 5.7 5.6 6 5.9
Bhutan 5.0 2.6 2.80 5.6 7.4 7 5.5
India 3.6 3.4 4.80 6.2 5.4 5.8 5
Maldives 2.8 -0.1 0.20 -1.4 0.5 3 2.5
Nepal 4.5 4.2 4.60 6.2 3.6 6.5 6.2
Pakistan 4.8 4.7 6.80 10.7 8.9 11 8.5
Sri Lanka 6.6 4.3 4.30 4.6 6 13.3 6.7
Brunei Darussalam -1.3 1.0 -0.40 1.9 1.7 1.6 1
Cambodia 2.9 2.5 1.90 2.9 2.9 4.7 2.2
Indonesia 3.8 3.2 3.80 2.0 1.6 3.6 3
Lao People’s Dem. Rep. 0.8 2.0 3.30 5.1 3.7 5.8 5
Malaysia 3.8 1.0 0.70 -1.1 2.5 3 2.5
Myanmar 4.0 5.9 8.60 5.7 3.6 8 8.5
Philippines 2.9 5.2 2.40 2.4 3.9 4.2 3.5
Singapore 0.6 0.4 0.60 -0.2 2.3 3 2.3
Thailand 0.7 1.1 0.70 -0.8 1.2 3.3 2.2
Timor-Leste 0.6 2.4 1.00 0.5 3.8 2.6 2.7
Viet Nam 3.5 3.5 2.80 3.2 1.8 3.8 4
Cook Islands -0.4 0.1 0.00 0.7 2.2 4.3 4
Federated States of Micronesia 0.7 1.7 -2.60 -2.9 2 4.6 2
Fiji 3.3 4.1 1.80 -2.6 0.2 4.5 4
Kiribati 0.3 0.6 -1.80 2.3 1 5 3.7
Marshall Islands 0.0 0.8 0.10 -0.8 1 4.1 4
Nauru 5.1 0.5 4.30 0.9 1.2 2.3 2.2
Niue 5.0 10.1 1.90 2.7
Palau 0.9 2.0 0.60 0.7 0.5 4.3 4.2
Papua New Guinea 5.4 4.7 3.60 4.9 4.5 6.4 5.1
Samoa 1.3 3.7 2.20 1.5 -3 8.9 3.2
Solomon Islands 0.5 3.5 1.60 3.0 -0.2 5 4
Tonga 9.4 -3.8 4.00 0.2 1.4 7.6 4.2
Tuvalu 4.1 2.2 3.50 1.6 6.7 3.8 3.3
Vanuatu 3.1 2.3 2.80 5.3 2.1 4.8 3.2

Thông tin tổng quan

Kiểm tra xem dữ liệu có phải là data frame hay không bằng hàm ‘is.data.frame’

is.data.frame(e)
## [1] TRUE

RStudio trả về giá trị TRUE, vì vậy đối tượng dữ liệu là data frame

Sử dụng hàm ‘name’ để biết tên của các biến trong dữ liệu

names(e)
## [1] "NA."   "X2017" "X2018" "X2019" "X2020" "X2021" "X2022" "X2023"

Tên của các biến lần lượt là NA,x2017,x2018,x2019,x2020,x2021,x2022 và x2023

Thực hiện đổi tên cho các biến để thuận tiện thao tác trên dữ liệu

names(e) <- c('Năm','x2017','x2018','x2019','x2020','x2021','x2022','x2023')
names(e)
## [1] "Năm"   "x2017" "x2018" "x2019" "x2020" "x2021" "x2022" "x2023"

Tên của các biến được thay đổi lần lượt là Năm,x2017,x2018,x2019,x2020,x2021,x2022 và x2023

Kiểm tra kích thước của data frame gồm bao nhiêu hàng và cột bằng cách sử dụng hàm ‘dim’

dim(e)
## [1] 46  8

Vậy data frame này bao gồm 46 hàng và 8 cột

Rút trích dữ liệu

Rút trích dữ liệu về lạm phát của các nước năm 2023.

Thực hiện rút trích các cột ‘Nước’ và cột ‘2023’, giữ nguyên các quan sát

# Gán dữ liệu được trích vào d1
e1 <- e[ ,c(1,7,8)]
e1
Năm x2022 x2023
Armenia 9 7.5
Azerbaijan 7 5.3
Georgia 7 4
Kazakhstan 7.8 6.4
Kyrgyz Republic 15 12
Tajikistan 15 10
Turkmenistan 13 10
Uzbekistan 9 8
Hong Kong, China 2.3 2
Mongolia 12.4 9.3
People’s Republic of China 2.3 2
Republic of Korea 3.2 2
Taipei,China 1.9 1.6
Afghanistan
Bangladesh 6 5.9
Bhutan 7 5.5
India 5.8 5
Maldives 3 2.5
Nepal 6.5 6.2
Pakistan 11 8.5
Sri Lanka 13.3 6.7
Brunei Darussalam 1.6 1
Cambodia 4.7 2.2
Indonesia 3.6 3
Lao People’s Dem. Rep. 5.8 5
Malaysia 3 2.5
Myanmar 8 8.5
Philippines 4.2 3.5
Singapore 3 2.3
Thailand 3.3 2.2
Timor-Leste 2.6 2.7
Viet Nam 3.8 4
Cook Islands 4.3 4
Federated States of Micronesia 4.6 2
Fiji 4.5 4
Kiribati 5 3.7
Marshall Islands 4.1 4
Nauru 2.3 2.2
Niue
Palau 4.3 4.2
Papua New Guinea 6.4 5.1
Samoa 8.9 3.2
Solomon Islands 5 4
Tonga 7.6 4.2
Tuvalu 3.8 3.3
Vanuatu 4.8 3.2

Dữ liệu d1 được trích ra với 46 quan sát và 3 biến với các biến Năm,x2022 và x2023

Tạo dữ liệu mới từ dữ liệu có sẵn

# Sử dụng hàm 'mutate' để tạo ra biến mới PL (Phân loại) theo điều kiện của x2020. Kết quả sẽ trả về là "T" nghĩa "Tự nhiên" hoặc "P" :"Phi mã" nếu điều kiện nhỏ hơn hoặc bằng 10 hoặc lớn hơn 10
# Dùng hàm 'ifelse' để lựa chọn phần tử có điều kiện của x2020
# load câu lệnh dplyr
library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
e <- e %>% mutate(PL = ifelse(x2020 < 10,'T','P'))
e
Năm x2017 x2018 x2019 x2020 x2021 x2022 x2023 PL
Armenia 1.0 2.5 1.40 1.2 7.2 9 7.5 T
Azerbaijan 12.9 2.3 2.60 2.8 6.7 7 5.3 T
Georgia 6.0 2.6 4.90 5.2 9.6 7 4 T
Kazakhstan 7.5 6.0 5.28 6.8 8 7.8 6.4 T
Kyrgyz Republic 3.2 1.5 1.10 6.3 11.9 15 12 T
Tajikistan 6.7 5.4 8.00 9.4 8 15 10 T
Turkmenistan 8.0 13.2 13.00 10.0 12.5 13 10 P
Uzbekistan 13.7 17.5 14.60 12.9 10.7 9 8 P
Hong Kong, China 1.5 2.3 2.90 0.3 1.6 2.3 2 T
Mongolia 4.3 6.8 7.30 3.7 7.1 12.4 9.3 T
People’s Republic of China 1.6 2.1 2.90 2.5 0.9 2.3 2 T
Republic of Korea 1.9 1.5 0.40 0.5 2.5 3.2 2 T
Taipei,China 0.6 1.3 0.60 -0.2 2 1.9 1.6 T
Afghanistan 5.0 0.6 2.30 5.6 5.2 T
Bangladesh 5.4 5.8 5.50 5.7 5.6 6 5.9 T
Bhutan 5.0 2.6 2.80 5.6 7.4 7 5.5 T
India 3.6 3.4 4.80 6.2 5.4 5.8 5 T
Maldives 2.8 -0.1 0.20 -1.4 0.5 3 2.5 T
Nepal 4.5 4.2 4.60 6.2 3.6 6.5 6.2 T
Pakistan 4.8 4.7 6.80 10.7 8.9 11 8.5 P
Sri Lanka 6.6 4.3 4.30 4.6 6 13.3 6.7 T
Brunei Darussalam -1.3 1.0 -0.40 1.9 1.7 1.6 1 T
Cambodia 2.9 2.5 1.90 2.9 2.9 4.7 2.2 T
Indonesia 3.8 3.2 3.80 2.0 1.6 3.6 3 T
Lao People’s Dem. Rep. 0.8 2.0 3.30 5.1 3.7 5.8 5 T
Malaysia 3.8 1.0 0.70 -1.1 2.5 3 2.5 T
Myanmar 4.0 5.9 8.60 5.7 3.6 8 8.5 T
Philippines 2.9 5.2 2.40 2.4 3.9 4.2 3.5 T
Singapore 0.6 0.4 0.60 -0.2 2.3 3 2.3 T
Thailand 0.7 1.1 0.70 -0.8 1.2 3.3 2.2 T
Timor-Leste 0.6 2.4 1.00 0.5 3.8 2.6 2.7 T
Viet Nam 3.5 3.5 2.80 3.2 1.8 3.8 4 T
Cook Islands -0.4 0.1 0.00 0.7 2.2 4.3 4 T
Federated States of Micronesia 0.7 1.7 -2.60 -2.9 2 4.6 2 T
Fiji 3.3 4.1 1.80 -2.6 0.2 4.5 4 T
Kiribati 0.3 0.6 -1.80 2.3 1 5 3.7 T
Marshall Islands 0.0 0.8 0.10 -0.8 1 4.1 4 T
Nauru 5.1 0.5 4.30 0.9 1.2 2.3 2.2 T
Niue 5.0 10.1 1.90 2.7 T
Palau 0.9 2.0 0.60 0.7 0.5 4.3 4.2 T
Papua New Guinea 5.4 4.7 3.60 4.9 4.5 6.4 5.1 T
Samoa 1.3 3.7 2.20 1.5 -3 8.9 3.2 T
Solomon Islands 0.5 3.5 1.60 3.0 -0.2 5 4 T
Tonga 9.4 -3.8 4.00 0.2 1.4 7.6 4.2 T
Tuvalu 4.1 2.2 3.50 1.6 6.7 3.8 3.3 T
Vanuatu 3.1 2.3 2.80 5.3 2.1 4.8 3.2 T

Nhiệm vụ 2.2

Mô tả về bộ dữ liệu

Titanic dataset là bộ dữ liệu chứa thông tin về các hành khách trên con tàu RMS Titanic, con tàu bị chìm trong chuyến hành trình đầu tiên vào năm 1912 sau khi va vào một tảng băng trôi.

Thực hiện các thao tác trên bộ dữ liệu thông qua các tiêu chí là các biến của dữ liệu bao gồm:

_ Survived: Biến nhị phân cho biết hành khách còn sống sót (1) hay không sống sót (0)

  • Pclass: Hạng vé của hành khách, có thể là hạng 1 (1), hạng 2 (2), hạng 3 (3)

  • Name: Tên của hành khách

  • Sex: Giới tính của hành khách

  • Age: Tuổi của hành khách tính theo năm

  • SibSp: Số anh chị em hoặc vợ/ chồng của hành khách trên tàu

  • Parch: Số cha mẹ hoặc con cái của hành khách trên tàu

  • Ticket: Số vé

  • Fare: Số tiền trả cho vé

  • Cabin: số Cabin nơi hành khách ở

  • Embarked: Cảng hành khách lên tàu Titanic

  • Home.dest: Địa chỉ nhà của hành khách

  • boat: số lần tàu bị đắm chìm

  • body: số cơ thể của hành khách không sống sót được tìm thấy

Đọc dữ liệu từ file excel

# Load gói xlsx bằng câu lệnh
library(xlsx)
# Dùng câu lệnh 'read.xlsx' đọc dữ liệu từ file xlsx đưa vào R, gán dữ liệu vào object d
d <- read.xlsx(file.choose(), sheetIndex = 1, header = T)
#'sheetIndex = 1' để đọc trang đầu tiên của file excel, 'header = T' nếu đúng thì dòng đầu tiên được làm tên các biến
d
pclass survived name sex age sibsp parch ticket fare cabin embarked boat body home.dest
1 1 Allen, Miss. Elisabeth Walton female 29.0000 0 0 24160 211.3375 B5 S 2 NA St Louis, MO
1 1 Allison, Master. Hudson Trevor male 0.9167 1 2 113781 151.5500 C22 C26 S 11 NA Montreal, PQ / Chesterville, ON
1 0 Allison, Miss. Helen Loraine female 2.0000 1 2 113781 151.5500 C22 C26 S NA NA Montreal, PQ / Chesterville, ON
1 0 Allison, Mr. Hudson Joshua Creighton male 30.0000 1 2 113781 151.5500 C22 C26 S NA 135 Montreal, PQ / Chesterville, ON
1 0 Allison, Mrs. Hudson J C (Bessie Waldo Daniels) female 25.0000 1 2 113781 151.5500 C22 C26 S NA NA Montreal, PQ / Chesterville, ON
1 1 Anderson, Mr. Harry male 48.0000 0 0 19952 26.5500 E12 S 3 NA New York, NY
1 1 Andrews, Miss. Kornelia Theodosia female 63.0000 1 0 13502 77.9583 D7 S 10 NA Hudson, NY
1 0 Andrews, Mr. Thomas Jr male 39.0000 0 0 112050 0.0000 A36 S NA NA Belfast, NI
1 1 Appleton, Mrs. Edward Dale (Charlotte Lamson) female 53.0000 2 0 11769 51.4792 C101 S D NA Bayside, Queens, NY
1 0 Artagaveytia, Mr. Ramon male 71.0000 0 0 PC 17609 49.5042 NA C NA 22 Montevideo, Uruguay
1 0 Astor, Col. John Jacob male 47.0000 1 0 PC 17757 227.5250 C62 C64 C NA 124 New York, NY
1 1 Astor, Mrs. John Jacob (Madeleine Talmadge Force) female 18.0000 1 0 PC 17757 227.5250 C62 C64 C 4 NA New York, NY
1 1 Aubart, Mme. Leontine Pauline female 24.0000 0 0 PC 17477 69.3000 B35 C 9 NA Paris, France
1 1 Barber, Miss. Ellen “Nellie” female 26.0000 0 0 19877 78.8500 NA S 6 NA NA
1 1 Barkworth, Mr. Algernon Henry Wilson male 80.0000 0 0 27042 30.0000 A23 S B NA Hessle, Yorks
1 0 Baumann, Mr. John D male NA 0 0 PC 17318 25.9250 NA S NA NA New York, NY
1 0 Baxter, Mr. Quigg Edmond male 24.0000 0 1 PC 17558 247.5208 B58 B60 C NA NA Montreal, PQ
1 1 Baxter, Mrs. James (Helene DeLaudeniere Chaput) female 50.0000 0 1 PC 17558 247.5208 B58 B60 C 6 NA Montreal, PQ
1 1 Bazzani, Miss. Albina female 32.0000 0 0 11813 76.2917 D15 C 8 NA NA
1 0 Beattie, Mr. Thomson male 36.0000 0 0 13050 75.2417 C6 C A NA Winnipeg, MN
1 1 Beckwith, Mr. Richard Leonard male 37.0000 1 1 11751 52.5542 D35 S 5 NA New York, NY
1 1 Beckwith, Mrs. Richard Leonard (Sallie Monypeny) female 47.0000 1 1 11751 52.5542 D35 S 5 NA New York, NY
1 1 Behr, Mr. Karl Howell male 26.0000 0 0 111369 30.0000 C148 C 5 NA New York, NY
1 1 Bidois, Miss. Rosalie female 42.0000 0 0 PC 17757 227.5250 NA C 4 NA NA
1 1 Bird, Miss. Ellen female 29.0000 0 0 PC 17483 221.7792 C97 S 8 NA NA
1 0 Birnbaum, Mr. Jakob male 25.0000 0 0 13905 26.0000 NA C NA 148 San Francisco, CA
1 1 Bishop, Mr. Dickinson H male 25.0000 1 0 11967 91.0792 B49 C 7 NA Dowagiac, MI
1 1 Bishop, Mrs. Dickinson H (Helen Walton) female 19.0000 1 0 11967 91.0792 B49 C 7 NA Dowagiac, MI
1 1 Bissette, Miss. Amelia female 35.0000 0 0 PC 17760 135.6333 C99 S 8 NA NA
1 1 Bjornstrom-Steffansson, Mr. Mauritz Hakan male 28.0000 0 0 110564 26.5500 C52 S D NA Stockholm, Sweden / Washington, DC
1 0 Blackwell, Mr. Stephen Weart male 45.0000 0 0 113784 35.5000 T S NA NA Trenton, NJ
1 1 Blank, Mr. Henry male 40.0000 0 0 112277 31.0000 A31 C 7 NA Glen Ridge, NJ
1 1 Bonnell, Miss. Caroline female 30.0000 0 0 36928 164.8667 C7 S 8 NA Youngstown, OH
1 1 Bonnell, Miss. Elizabeth female 58.0000 0 0 113783 26.5500 C103 S 8 NA Birkdale, England Cleveland, Ohio
1 0 Borebank, Mr. John James male 42.0000 0 0 110489 26.5500 D22 S NA NA London / Winnipeg, MB
1 1 Bowen, Miss. Grace Scott female 45.0000 0 0 PC 17608 262.3750 NA C 4 NA Cooperstown, NY
1 1 Bowerman, Miss. Elsie Edith female 22.0000 0 1 113505 55.0000 E33 S 6 NA St Leonards-on-Sea, England Ohio
1 1 Bradley, Mr. George (“George Arthur Brayton”) male NA 0 0 111427 26.5500 NA S 9 NA Los Angeles, CA
1 0 Brady, Mr. John Bertram male 41.0000 0 0 113054 30.5000 A21 S NA NA Pomeroy, WA
1 0 Brandeis, Mr. Emil male 48.0000 0 0 PC 17591 50.4958 B10 C NA 208 Omaha, NE
1 0 Brewe, Dr. Arthur Jackson male NA 0 0 112379 39.6000 NA C NA NA Philadelphia, PA
1 1 Brown, Mrs. James Joseph (Margaret Tobin) female 44.0000 0 0 PC 17610 27.7208 B4 C 6 NA Denver, CO
1 1 Brown, Mrs. John Murray (Caroline Lane Lamson) female 59.0000 2 0 11769 51.4792 C101 S D NA Belmont, MA
1 1 Bucknell, Mrs. William Robert (Emma Eliza Ward) female 60.0000 0 0 11813 76.2917 D15 C 8 NA Philadelphia, PA
1 1 Burns, Miss. Elizabeth Margaret female 41.0000 0 0 16966 134.5000 E40 C 3 NA NA
1 0 Butt, Major. Archibald Willingham male 45.0000 0 0 113050 26.5500 B38 S NA NA Washington, DC
1 0 Cairns, Mr. Alexander male NA 0 0 113798 31.0000 NA S NA NA NA
1 1 Calderhead, Mr. Edward Pennington male 42.0000 0 0 PC 17476 26.2875 E24 S 5 NA New York, NY
1 1 Candee, Mrs. Edward (Helen Churchill Hungerford) female 53.0000 0 0 PC 17606 27.4458 NA C 6 NA Washington, DC
1 1 Cardeza, Mr. Thomas Drake Martinez male 36.0000 0 1 PC 17755 512.3292 B51 B53 B55 C 3 NA Austria-Hungary / Germantown, Philadelphia, PA
1 1 Cardeza, Mrs. James Warburton Martinez (Charlotte Wardle Drake) female 58.0000 0 1 PC 17755 512.3292 B51 B53 B55 C 3 NA Germantown, Philadelphia, PA
1 0 Carlsson, Mr. Frans Olof male 33.0000 0 0 695 5.0000 B51 B53 B55 S NA NA New York, NY
1 0 Carrau, Mr. Francisco M male 28.0000 0 0 113059 47.1000 NA S NA NA Montevideo, Uruguay
1 0 Carrau, Mr. Jose Pedro male 17.0000 0 0 113059 47.1000 NA S NA NA Montevideo, Uruguay
1 1 Carter, Master. William Thornton II male 11.0000 1 2 113760 120.0000 B96 B98 S 4 NA Bryn Mawr, PA
1 1 Carter, Miss. Lucile Polk female 14.0000 1 2 113760 120.0000 B96 B98 S 4 NA Bryn Mawr, PA
1 1 Carter, Mr. William Ernest male 36.0000 1 2 113760 120.0000 B96 B98 S C NA Bryn Mawr, PA
1 1 Carter, Mrs. William Ernest (Lucile Polk) female 36.0000 1 2 113760 120.0000 B96 B98 S 4 NA Bryn Mawr, PA
1 0 Case, Mr. Howard Brown male 49.0000 0 0 19924 26.0000 NA S NA NA Ascot, Berkshire / Rochester, NY
1 1 Cassebeer, Mrs. Henry Arthur Jr (Eleanor Genevieve Fosdick) female NA 0 0 17770 27.7208 NA C 5 NA New York, NY
1 0 Cavendish, Mr. Tyrell William male 36.0000 1 0 19877 78.8500 C46 S NA 172 Little Onn Hall, Staffs
1 1 Cavendish, Mrs. Tyrell William (Julia Florence Siegel) female 76.0000 1 0 19877 78.8500 C46 S 6 NA Little Onn Hall, Staffs
1 0 Chaffee, Mr. Herbert Fuller male 46.0000 1 0 W.E.P. 5734 61.1750 E31 S NA NA Amenia, ND
1 1 Chaffee, Mrs. Herbert Fuller (Carrie Constance Toogood) female 47.0000 1 0 W.E.P. 5734 61.1750 E31 S 4 NA Amenia, ND
1 1 Chambers, Mr. Norman Campbell male 27.0000 1 0 113806 53.1000 E8 S 5 NA New York, NY / Ithaca, NY
1 1 Chambers, Mrs. Norman Campbell (Bertha Griggs) female 33.0000 1 0 113806 53.1000 E8 S 5 NA New York, NY / Ithaca, NY
1 1 Chaudanson, Miss. Victorine female 36.0000 0 0 PC 17608 262.3750 B61 C 4 NA NA
1 1 Cherry, Miss. Gladys female 30.0000 0 0 110152 86.5000 B77 S 8 NA London, England
1 1 Chevre, Mr. Paul Romaine male 45.0000 0 0 PC 17594 29.7000 A9 C 7 NA Paris, France
1 1 Chibnall, Mrs. (Edith Martha Bowerman) female NA 0 1 113505 55.0000 E33 S 6 NA St Leonards-on-Sea, England Ohio
1 0 Chisholm, Mr. Roderick Robert Crispin male NA 0 0 112051 0.0000 NA S NA NA Liverpool, England / Belfast
1 0 Clark, Mr. Walter Miller male 27.0000 1 0 13508 136.7792 C89 C NA NA Los Angeles, CA
1 1 Clark, Mrs. Walter Miller (Virginia McDowell) female 26.0000 1 0 13508 136.7792 C89 C 4 NA Los Angeles, CA
1 1 Cleaver, Miss. Alice female 22.0000 0 0 113781 151.5500 NA S 11 NA NA
1 0 Clifford, Mr. George Quincy male NA 0 0 110465 52.0000 A14 S NA NA Stoughton, MA
1 0 Colley, Mr. Edward Pomeroy male 47.0000 0 0 5727 25.5875 E58 S NA NA Victoria, BC
1 1 Compton, Miss. Sara Rebecca female 39.0000 1 1 PC 17756 83.1583 E49 C 14 NA Lakewood, NJ
1 0 Compton, Mr. Alexander Taylor Jr male 37.0000 1 1 PC 17756 83.1583 E52 C NA NA Lakewood, NJ
1 1 Compton, Mrs. Alexander Taylor (Mary Eliza Ingersoll) female 64.0000 0 2 PC 17756 83.1583 E45 C 14 NA Lakewood, NJ
1 1 Cornell, Mrs. Robert Clifford (Malvina Helen Lamson) female 55.0000 2 0 11770 25.7000 C101 S 2 NA New York, NY
1 0 Crafton, Mr. John Bertram male NA 0 0 113791 26.5500 NA S NA NA Roachdale, IN
1 0 Crosby, Capt. Edward Gifford male 70.0000 1 1 WE/P 5735 71.0000 B22 S NA 269 Milwaukee, WI
1 1 Crosby, Miss. Harriet R female 36.0000 0 2 WE/P 5735 71.0000 B22 S 7 NA Milwaukee, WI
1 1 Crosby, Mrs. Edward Gifford (Catherine Elizabeth Halstead) female 64.0000 1 1 112901 26.5500 B26 S 7 NA Milwaukee, WI
1 0 Cumings, Mr. John Bradley male 39.0000 1 0 PC 17599 71.2833 C85 C NA NA New York, NY
1 1 Cumings, Mrs. John Bradley (Florence Briggs Thayer) female 38.0000 1 0 PC 17599 71.2833 C85 C 4 NA New York, NY
1 1 Daly, Mr. Peter Denis male 51.0000 0 0 113055 26.5500 E17 S 5 9 NA Lima, Peru
1 1 Daniel, Mr. Robert Williams male 27.0000 0 0 113804 30.5000 NA S 3 NA Philadelphia, PA
1 1 Daniels, Miss. Sarah female 33.0000 0 0 113781 151.5500 NA S 8 NA NA
1 0 Davidson, Mr. Thornton male 31.0000 1 0 F.C. 12750 52.0000 B71 S NA NA Montreal, PQ
1 1 Davidson, Mrs. Thornton (Orian Hays) female 27.0000 1 2 F.C. 12750 52.0000 B71 S 3 NA Montreal, PQ
1 1 Dick, Mr. Albert Adrian male 31.0000 1 0 17474 57.0000 B20 S 3 NA Calgary, AB
1 1 Dick, Mrs. Albert Adrian (Vera Gillespie) female 17.0000 1 0 17474 57.0000 B20 S 3 NA Calgary, AB
1 1 Dodge, Dr. Washington male 53.0000 1 1 33638 81.8583 A34 S 13 NA San Francisco, CA
1 1 Dodge, Master. Washington male 4.0000 0 2 33638 81.8583 A34 S 5 NA San Francisco, CA
1 1 Dodge, Mrs. Washington (Ruth Vidaver) female 54.0000 1 1 33638 81.8583 A34 S 5 NA San Francisco, CA
1 0 Douglas, Mr. Walter Donald male 50.0000 1 0 PC 17761 106.4250 C86 C NA 62 Deephaven, MN / Cedar Rapids, IA
1 1 Douglas, Mrs. Frederick Charles (Mary Helene Baxter) female 27.0000 1 1 PC 17558 247.5208 B58 B60 C 6 NA Montreal, PQ
1 1 Douglas, Mrs. Walter Donald (Mahala Dutton) female 48.0000 1 0 PC 17761 106.4250 C86 C 2 NA Deephaven, MN / Cedar Rapids, IA
1 1 Duff Gordon, Lady. (Lucille Christiana Sutherland) (“Mrs Morgan”) female 48.0000 1 0 11755 39.6000 A16 C 1 NA London / Paris
1 1 Duff Gordon, Sir. Cosmo Edmund (“Mr Morgan”) male 49.0000 1 0 PC 17485 56.9292 A20 C 1 NA London / Paris
1 0 Dulles, Mr. William Crothers male 39.0000 0 0 PC 17580 29.7000 A18 C NA 133 Philadelphia, PA
1 1 Earnshaw, Mrs. Boulton (Olive Potter) female 23.0000 0 1 11767 83.1583 C54 C 7 NA Mt Airy, Philadelphia, PA
1 1 Endres, Miss. Caroline Louise female 38.0000 0 0 PC 17757 227.5250 C45 C 4 NA New York, NY
1 1 Eustis, Miss. Elizabeth Mussey female 54.0000 1 0 36947 78.2667 D20 C 4 NA Brookline, MA
1 0 Evans, Miss. Edith Corse female 36.0000 0 0 PC 17531 31.6792 A29 C NA NA New York, NY
1 0 Farthing, Mr. John male NA 0 0 PC 17483 221.7792 C95 S NA NA NA
1 1 Flegenheim, Mrs. Alfred (Antoinette) female NA 0 0 PC 17598 31.6833 NA S 7 NA New York, NY
1 1 Fleming, Miss. Margaret female NA 0 0 17421 110.8833 NA C 4 NA NA
1 1 Flynn, Mr. John Irwin (“Irving”) male 36.0000 0 0 PC 17474 26.3875 E25 S 5 NA Brooklyn, NY
1 0 Foreman, Mr. Benjamin Laventall male 30.0000 0 0 113051 27.7500 C111 C NA NA New York, NY
1 1 Fortune, Miss. Alice Elizabeth female 24.0000 3 2 19950 263.0000 C23 C25 C27 S 10 NA Winnipeg, MB
1 1 Fortune, Miss. Ethel Flora female 28.0000 3 2 19950 263.0000 C23 C25 C27 S 10 NA Winnipeg, MB
1 1 Fortune, Miss. Mabel Helen female 23.0000 3 2 19950 263.0000 C23 C25 C27 S 10 NA Winnipeg, MB
1 0 Fortune, Mr. Charles Alexander male 19.0000 3 2 19950 263.0000 C23 C25 C27 S NA NA Winnipeg, MB
1 0 Fortune, Mr. Mark male 64.0000 1 4 19950 263.0000 C23 C25 C27 S NA NA Winnipeg, MB
1 1 Fortune, Mrs. Mark (Mary McDougald) female 60.0000 1 4 19950 263.0000 C23 C25 C27 S 10 NA Winnipeg, MB
1 1 Francatelli, Miss. Laura Mabel female 30.0000 0 0 PC 17485 56.9292 E36 C 1 NA NA
1 0 Franklin, Mr. Thomas Parham male NA 0 0 113778 26.5500 D34 S NA NA Westcliff-on-Sea, Essex
1 1 Frauenthal, Dr. Henry William male 50.0000 2 0 PC 17611 133.6500 NA S 5 NA New York, NY
1 1 Frauenthal, Mr. Isaac Gerald male 43.0000 1 0 17765 27.7208 D40 C 5 NA New York, NY
1 1 Frauenthal, Mrs. Henry William (Clara Heinsheimer) female NA 1 0 PC 17611 133.6500 NA S 5 NA New York, NY
1 1 Frolicher, Miss. Hedwig Margaritha female 22.0000 0 2 13568 49.5000 B39 C 5 NA Zurich, Switzerland
1 1 Frolicher-Stehli, Mr. Maxmillian male 60.0000 1 1 13567 79.2000 B41 C 5 NA Zurich, Switzerland
1 1 Frolicher-Stehli, Mrs. Maxmillian (Margaretha Emerentia Stehli) female 48.0000 1 1 13567 79.2000 B41 C 5 NA Zurich, Switzerland
1 0 Fry, Mr. Richard male NA 0 0 112058 0.0000 B102 S NA NA NA
1 0 Futrelle, Mr. Jacques Heath male 37.0000 1 0 113803 53.1000 C123 S NA NA Scituate, MA
1 1 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0000 1 0 113803 53.1000 C123 S D NA Scituate, MA
1 0 Gee, Mr. Arthur H male 47.0000 0 0 111320 38.5000 E63 S NA 275 St Anne’s-on-Sea, Lancashire
1 1 Geiger, Miss. Amalie female 35.0000 0 0 113503 211.5000 C130 C 4 NA NA
1 1 Gibson, Miss. Dorothy Winifred female 22.0000 0 1 112378 59.4000 NA C 7 NA New York, NY
1 1 Gibson, Mrs. Leonard (Pauline C Boeson) female 45.0000 0 1 112378 59.4000 NA C 7 NA New York, NY
1 0 Giglio, Mr. Victor male 24.0000 0 0 PC 17593 79.2000 B86 C NA NA NA
1 1 Goldenberg, Mr. Samuel L male 49.0000 1 0 17453 89.1042 C92 C 5 NA Paris, France / New York, NY
1 1 Goldenberg, Mrs. Samuel L (Edwiga Grabowska) female NA 1 0 17453 89.1042 C92 C 5 NA Paris, France / New York, NY
1 0 Goldschmidt, Mr. George B male 71.0000 0 0 PC 17754 34.6542 A5 C NA NA New York, NY
1 1 Gracie, Col. Archibald IV male 53.0000 0 0 113780 28.5000 C51 C B NA Washington, DC
1 1 Graham, Miss. Margaret Edith female 19.0000 0 0 112053 30.0000 B42 S 3 NA Greenwich, CT
1 0 Graham, Mr. George Edward male 38.0000 0 1 PC 17582 153.4625 C91 S NA 147 Winnipeg, MB
1 1 Graham, Mrs. William Thompson (Edith Junkins) female 58.0000 0 1 PC 17582 153.4625 C125 S 3 NA Greenwich, CT
1 1 Greenfield, Mr. William Bertram male 23.0000 0 1 PC 17759 63.3583 D10 D12 C 7 NA New York, NY
1 1 Greenfield, Mrs. Leo David (Blanche Strouse) female 45.0000 0 1 PC 17759 63.3583 D10 D12 C 7 NA New York, NY
1 0 Guggenheim, Mr. Benjamin male 46.0000 0 0 PC 17593 79.2000 B82 B84 C NA NA New York, NY
1 1 Harder, Mr. George Achilles male 25.0000 1 0 11765 55.4417 E50 C 5 NA Brooklyn, NY
1 1 Harder, Mrs. George Achilles (Dorothy Annan) female 25.0000 1 0 11765 55.4417 E50 C 5 NA Brooklyn, NY
1 1 Harper, Mr. Henry Sleeper male 48.0000 1 0 PC 17572 76.7292 D33 C 3 NA New York, NY
1 1 Harper, Mrs. Henry Sleeper (Myna Haxtun) female 49.0000 1 0 PC 17572 76.7292 D33 C 3 NA New York, NY
1 0 Harrington, Mr. Charles H male NA 0 0 113796 42.4000 NA S NA NA NA
1 0 Harris, Mr. Henry Birkhardt male 45.0000 1 0 36973 83.4750 C83 S NA NA New York, NY
1 1 Harris, Mrs. Henry Birkhardt (Irene Wallach) female 35.0000 1 0 36973 83.4750 C83 S D NA New York, NY
1 0 Harrison, Mr. William male 40.0000 0 0 112059 0.0000 B94 S NA 110 NA
1 1 Hassab, Mr. Hammad male 27.0000 0 0 PC 17572 76.7292 D49 C 3 NA NA
1 1 Hawksford, Mr. Walter James male NA 0 0 16988 30.0000 D45 S 3 NA Kingston, Surrey
1 1 Hays, Miss. Margaret Bechstein female 24.0000 0 0 11767 83.1583 C54 C 7 NA New York, NY
1 0 Hays, Mr. Charles Melville male 55.0000 1 1 12749 93.5000 B69 S NA 307 Montreal, PQ
1 1 Hays, Mrs. Charles Melville (Clara Jennings Gregg) female 52.0000 1 1 12749 93.5000 B69 S 3 NA Montreal, PQ
1 0 Head, Mr. Christopher male 42.0000 0 0 113038 42.5000 B11 S NA NA London / Middlesex
1 0 Hilliard, Mr. Herbert Henry male NA 0 0 17463 51.8625 E46 S NA NA Brighton, MA
1 0 Hipkins, Mr. William Edward male 55.0000 0 0 680 50.0000 C39 S NA NA London / Birmingham
1 1 Hippach, Miss. Jean Gertrude female 16.0000 0 1 111361 57.9792 B18 C 4 NA Chicago, IL
1 1 Hippach, Mrs. Louis Albert (Ida Sophia Fischer) female 44.0000 0 1 111361 57.9792 B18 C 4 NA Chicago, IL
1 1 Hogeboom, Mrs. John C (Anna Andrews) female 51.0000 1 0 13502 77.9583 D11 S 10 NA Hudson, NY
1 0 Holverson, Mr. Alexander Oskar male 42.0000 1 0 113789 52.0000 NA S NA 38 New York, NY
1 1 Holverson, Mrs. Alexander Oskar (Mary Aline Towner) female 35.0000 1 0 113789 52.0000 NA S 8 NA New York, NY
1 1 Homer, Mr. Harry (“Mr E Haven”) male 35.0000 0 0 111426 26.5500 NA C 15 NA Indianapolis, IN
1 1 Hoyt, Mr. Frederick Maxfield male 38.0000 1 0 19943 90.0000 C93 S D NA New York, NY / Stamford CT
1 0 Hoyt, Mr. William Fisher male NA 0 0 PC 17600 30.6958 NA C 14 NA New York, NY
1 1 Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby) female 35.0000 1 0 19943 90.0000 C93 S D NA New York, NY / Stamford CT
1 1 Icard, Miss. Amelie female 38.0000 0 0 113572 80.0000 B28 NA 6 NA NA
1 0 Isham, Miss. Ann Elizabeth female 50.0000 0 0 PC 17595 28.7125 C49 C NA NA Paris, France New York, NY
1 1 Ismay, Mr. Joseph Bruce male 49.0000 0 0 112058 0.0000 B52 B54 B56 S C NA Liverpool
1 0 Jones, Mr. Charles Cresson male 46.0000 0 0 694 26.0000 NA S NA 80 Bennington, VT
1 0 Julian, Mr. Henry Forbes male 50.0000 0 0 113044 26.0000 E60 S NA NA London
1 0 Keeping, Mr. Edwin male 32.5000 0 0 113503 211.5000 C132 C NA 45 NA
1 0 Kent, Mr. Edward Austin male 58.0000 0 0 11771 29.7000 B37 C NA 258 Buffalo, NY
1 0 Kenyon, Mr. Frederick R male 41.0000 1 0 17464 51.8625 D21 S NA NA Southington / Noank, CT
1 1 Kenyon, Mrs. Frederick R (Marion) female NA 1 0 17464 51.8625 D21 S 8 NA Southington / Noank, CT
1 1 Kimball, Mr. Edwin Nelson Jr male 42.0000 1 0 11753 52.5542 D19 S 5 NA Boston, MA
1 1 Kimball, Mrs. Edwin Nelson Jr (Gertrude Parsons) female 45.0000 1 0 11753 52.5542 D19 S 5 NA Boston, MA
1 0 Klaber, Mr. Herman male NA 0 0 113028 26.5500 C124 S NA NA Portland, OR
1 1 Kreuchen, Miss. Emilie female 39.0000 0 0 24160 211.3375 NA S 2 NA NA
1 1 Leader, Dr. Alice (Farnham) female 49.0000 0 0 17465 25.9292 D17 S 8 NA New York, NY
1 1 LeRoy, Miss. Bertha female 30.0000 0 0 PC 17761 106.4250 NA C 2 NA NA
1 1 Lesurer, Mr. Gustave J male 35.0000 0 0 PC 17755 512.3292 B101 C 3 NA NA
1 0 Lewy, Mr. Ervin G male NA 0 0 PC 17612 27.7208 NA C NA NA Chicago, IL
1 0 Lindeberg-Lind, Mr. Erik Gustaf (“Mr Edward Lingrey”) male 42.0000 0 0 17475 26.5500 NA S NA NA Stockholm, Sweden
1 1 Lindstrom, Mrs. Carl Johan (Sigrid Posse) female 55.0000 0 0 112377 27.7208 NA C 6 NA Stockholm, Sweden
1 1 Lines, Miss. Mary Conover female 16.0000 0 1 PC 17592 39.4000 D28 S 9 NA Paris, France
1 1 Lines, Mrs. Ernest H (Elizabeth Lindsey James) female 51.0000 0 1 PC 17592 39.4000 D28 S 9 NA Paris, France
1 0 Long, Mr. Milton Clyde male 29.0000 0 0 113501 30.0000 D6 S NA 126 Springfield, MA
1 1 Longley, Miss. Gretchen Fiske female 21.0000 0 0 13502 77.9583 D9 S 10 NA Hudson, NY
1 0 Loring, Mr. Joseph Holland male 30.0000 0 0 113801 45.5000 NA S NA NA London / New York, NY
1 1 Lurette, Miss. Elise female 58.0000 0 0 PC 17569 146.5208 B80 C NA NA NA
1 1 Madill, Miss. Georgette Alexandra female 15.0000 0 1 24160 211.3375 B5 S 2 NA St Louis, MO
1 0 Maguire, Mr. John Edward male 30.0000 0 0 110469 26.0000 C106 S NA NA Brockton, MA
1 1 Maioni, Miss. Roberta female 16.0000 0 0 110152 86.5000 B79 S 8 NA NA
1 1 Marechal, Mr. Pierre male NA 0 0 11774 29.7000 C47 C 7 NA Paris, France
1 0 Marvin, Mr. Daniel Warner male 19.0000 1 0 113773 53.1000 D30 S NA NA New York, NY
1 1 Marvin, Mrs. Daniel Warner (Mary Graham Carmichael Farquarson) female 18.0000 1 0 113773 53.1000 D30 S 10 NA New York, NY
1 1 Mayne, Mlle. Berthe Antonine (“Mrs de Villiers”) female 24.0000 0 0 PC 17482 49.5042 C90 C 6 NA Belgium Montreal, PQ
1 0 McCaffry, Mr. Thomas Francis male 46.0000 0 0 13050 75.2417 C6 C NA 292 Vancouver, BC
1 0 McCarthy, Mr. Timothy J male 54.0000 0 0 17463 51.8625 E46 S NA 175 Dorchester, MA
1 1 McGough, Mr. James Robert male 36.0000 0 0 PC 17473 26.2875 E25 S 7 NA Philadelphia, PA
1 0 Meyer, Mr. Edgar Joseph male 28.0000 1 0 PC 17604 82.1708 NA C NA NA New York, NY
1 1 Meyer, Mrs. Edgar Joseph (Leila Saks) female NA 1 0 PC 17604 82.1708 NA C 6 NA New York, NY
1 0 Millet, Mr. Francis Davis male 65.0000 0 0 13509 26.5500 E38 S NA 249 East Bridgewater, MA
1 0 Minahan, Dr. William Edward male 44.0000 2 0 19928 90.0000 C78 Q NA 230 Fond du Lac, WI
1 1 Minahan, Miss. Daisy E female 33.0000 1 0 19928 90.0000 C78 Q 14 NA Green Bay, WI
1 1 Minahan, Mrs. William Edward (Lillian E Thorpe) female 37.0000 1 0 19928 90.0000 C78 Q 14 NA Fond du Lac, WI
1 1 Mock, Mr. Philipp Edmund male 30.0000 1 0 13236 57.7500 C78 C 11 NA New York, NY
1 0 Molson, Mr. Harry Markland male 55.0000 0 0 113787 30.5000 C30 S NA NA Montreal, PQ
1 0 Moore, Mr. Clarence Bloomfield male 47.0000 0 0 113796 42.4000 NA S NA NA Washington, DC
1 0 Natsch, Mr. Charles H male 37.0000 0 1 PC 17596 29.7000 C118 C NA NA Brooklyn, NY
1 1 Newell, Miss. Madeleine female 31.0000 1 0 35273 113.2750 D36 C 6 NA Lexington, MA
1 1 Newell, Miss. Marjorie female 23.0000 1 0 35273 113.2750 D36 C 6 NA Lexington, MA
1 0 Newell, Mr. Arthur Webster male 58.0000 0 2 35273 113.2750 D48 C NA 122 Lexington, MA
1 1 Newsom, Miss. Helen Monypeny female 19.0000 0 2 11752 26.2833 D47 S 5 NA New York, NY
1 0 Nicholson, Mr. Arthur Ernest male 64.0000 0 0 693 26.0000 NA S NA 263 Isle of Wight, England
1 1 Oliva y Ocana, Dona. Fermina female 39.0000 0 0 PC 17758 108.9000 C105 C 8 NA NA
1 1 Omont, Mr. Alfred Fernand male NA 0 0 F.C. 12998 25.7417 NA C 7 NA Paris, France
1 1 Ostby, Miss. Helene Ragnhild female 22.0000 0 1 113509 61.9792 B36 C 5 NA Providence, RI
1 0 Ostby, Mr. Engelhart Cornelius male 65.0000 0 1 113509 61.9792 B30 C NA 234 Providence, RI
1 0 Ovies y Rodriguez, Mr. Servando male 28.5000 0 0 PC 17562 27.7208 D43 C NA 189 ?Havana, Cuba
1 0 Parr, Mr. William Henry Marsh male NA 0 0 112052 0.0000 NA S NA NA Belfast
1 0 Partner, Mr. Austen male 45.5000 0 0 113043 28.5000 C124 S NA 166 Surbiton Hill, Surrey
1 0 Payne, Mr. Vivian Ponsonby male 23.0000 0 0 12749 93.5000 B24 S NA NA Montreal, PQ
1 0 Pears, Mr. Thomas Clinton male 29.0000 1 0 113776 66.6000 C2 S NA NA Isleworth, England
1 1 Pears, Mrs. Thomas (Edith Wearne) female 22.0000 1 0 113776 66.6000 C2 S 8 NA Isleworth, England
1 0 Penasco y Castellana, Mr. Victor de Satode male 18.0000 1 0 PC 17758 108.9000 C65 C NA NA Madrid, Spain
1 1 Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo) female 17.0000 1 0 PC 17758 108.9000 C65 C 8 NA Madrid, Spain
1 1 Perreault, Miss. Anne female 30.0000 0 0 12749 93.5000 B73 S 3 NA NA
1 1 Peuchen, Major. Arthur Godfrey male 52.0000 0 0 113786 30.5000 C104 S 6 NA Toronto, ON
1 0 Porter, Mr. Walter Chamberlain male 47.0000 0 0 110465 52.0000 C110 S NA 207 Worcester, MA
1 1 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson) female 56.0000 0 1 11767 83.1583 C50 C 7 NA Mt Airy, Philadelphia, PA
1 0 Reuchlin, Jonkheer. John George male 38.0000 0 0 19972 0.0000 NA S NA NA Rotterdam, Netherlands
1 1 Rheims, Mr. George Alexander Lucien male NA 0 0 PC 17607 39.6000 NA S A NA Paris / New York, NY
1 0 Ringhini, Mr. Sante male 22.0000 0 0 PC 17760 135.6333 NA C NA 232 NA
1 0 Robbins, Mr. Victor male NA 0 0 PC 17757 227.5250 NA C NA NA NA
1 1 Robert, Mrs. Edward Scott (Elisabeth Walton McMillan) female 43.0000 0 1 24160 211.3375 B3 S 2 NA St Louis, MO
1 0 Roebling, Mr. Washington Augustus II male 31.0000 0 0 PC 17590 50.4958 A24 S NA NA Trenton, NJ
1 1 Romaine, Mr. Charles Hallace (“Mr C Rolmane”) male 45.0000 0 0 111428 26.5500 NA S 9 NA New York, NY
1 0 Rood, Mr. Hugh Roscoe male NA 0 0 113767 50.0000 A32 S NA NA Seattle, WA
1 1 Rosenbaum, Miss. Edith Louise female 33.0000 0 0 PC 17613 27.7208 A11 C 11 NA Paris, France
1 0 Rosenshine, Mr. George (“Mr George Thorne”) male 46.0000 0 0 PC 17585 79.2000 NA C NA 16 New York, NY
1 0 Ross, Mr. John Hugo male 36.0000 0 0 13049 40.1250 A10 C NA NA Winnipeg, MB
1 1 Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards) female 33.0000 0 0 110152 86.5000 B77 S 8 NA London Vancouver, BC
1 0 Rothschild, Mr. Martin male 55.0000 1 0 PC 17603 59.4000 NA C NA NA New York, NY
1 1 Rothschild, Mrs. Martin (Elizabeth L. Barrett) female 54.0000 1 0 PC 17603 59.4000 NA C 6 NA New York, NY
1 0 Rowe, Mr. Alfred G male 33.0000 0 0 113790 26.5500 NA S NA 109 London
1 1 Ryerson, Master. John Borie male 13.0000 2 2 PC 17608 262.3750 B57 B59 B63 B66 C 4 NA Haverford, PA / Cooperstown, NY
1 1 Ryerson, Miss. Emily Borie female 18.0000 2 2 PC 17608 262.3750 B57 B59 B63 B66 C 4 NA Haverford, PA / Cooperstown, NY
1 1 Ryerson, Miss. Susan Parker “Suzette” female 21.0000 2 2 PC 17608 262.3750 B57 B59 B63 B66 C 4 NA Haverford, PA / Cooperstown, NY
1 0 Ryerson, Mr. Arthur Larned male 61.0000 1 3 PC 17608 262.3750 B57 B59 B63 B66 C NA NA Haverford, PA / Cooperstown, NY
1 1 Ryerson, Mrs. Arthur Larned (Emily Maria Borie) female 48.0000 1 3 PC 17608 262.3750 B57 B59 B63 B66 C 4 NA Haverford, PA / Cooperstown, NY
1 1 Saalfeld, Mr. Adolphe male NA 0 0 19988 30.5000 C106 S 3 NA Manchester, England
1 1 Sagesser, Mlle. Emma female 24.0000 0 0 PC 17477 69.3000 B35 C 9 NA NA
1 1 Salomon, Mr. Abraham L male NA 0 0 111163 26.0000 NA S 1 NA New York, NY
1 1 Schabert, Mrs. Paul (Emma Mock) female 35.0000 1 0 13236 57.7500 C28 C 11 NA New York, NY
1 1 Serepeca, Miss. Augusta female 30.0000 0 0 113798 31.0000 NA C 4 NA NA
1 1 Seward, Mr. Frederic Kimber male 34.0000 0 0 113794 26.5500 NA S 7 NA New York, NY
1 1 Shutes, Miss. Elizabeth W female 40.0000 0 0 PC 17582 153.4625 C125 S 3 NA New York, NY / Greenwich CT
1 1 Silverthorne, Mr. Spencer Victor male 35.0000 0 0 PC 17475 26.2875 E24 S 5 NA St Louis, MO
1 0 Silvey, Mr. William Baird male 50.0000 1 0 13507 55.9000 E44 S NA NA Duluth, MN
1 1 Silvey, Mrs. William Baird (Alice Munger) female 39.0000 1 0 13507 55.9000 E44 S 11 NA Duluth, MN
1 1 Simonius-Blumer, Col. Oberst Alfons male 56.0000 0 0 13213 35.5000 A26 C 3 NA Basel, Switzerland
1 1 Sloper, Mr. William Thompson male 28.0000 0 0 113788 35.5000 A6 S 7 NA New Britain, CT
1 0 Smart, Mr. John Montgomery male 56.0000 0 0 113792 26.5500 NA S NA NA New York, NY
1 0 Smith, Mr. James Clinch male 56.0000 0 0 17764 30.6958 A7 C NA NA St James, Long Island, NY
1 0 Smith, Mr. Lucien Philip male 24.0000 1 0 13695 60.0000 C31 S NA NA Huntington, WV
1 0 Smith, Mr. Richard William male NA 0 0 113056 26.0000 A19 S NA NA Streatham, Surrey
1 1 Smith, Mrs. Lucien Philip (Mary Eloise Hughes) female 18.0000 1 0 13695 60.0000 C31 S 6 NA Huntington, WV
1 1 Snyder, Mr. John Pillsbury male 24.0000 1 0 21228 82.2667 B45 S 7 NA Minneapolis, MN
1 1 Snyder, Mrs. John Pillsbury (Nelle Stevenson) female 23.0000 1 0 21228 82.2667 B45 S 7 NA Minneapolis, MN
1 1 Spedden, Master. Robert Douglas male 6.0000 0 2 16966 134.5000 E34 C 3 NA Tuxedo Park, NY
1 1 Spedden, Mr. Frederic Oakley male 45.0000 1 1 16966 134.5000 E34 C 3 NA Tuxedo Park, NY
1 1 Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone) female 40.0000 1 1 16966 134.5000 E34 C 3 NA Tuxedo Park, NY
1 0 Spencer, Mr. William Augustus male 57.0000 1 0 PC 17569 146.5208 B78 C NA NA Paris, France
1 1 Spencer, Mrs. William Augustus (Marie Eugenie) female NA 1 0 PC 17569 146.5208 B78 C 6 NA Paris, France
1 1 Stahelin-Maeglin, Dr. Max male 32.0000 0 0 13214 30.5000 B50 C 3 NA Basel, Switzerland
1 0 Stead, Mr. William Thomas male 62.0000 0 0 113514 26.5500 C87 S NA NA Wimbledon Park, London / Hayling Island, Hants
1 1 Stengel, Mr. Charles Emil Henry male 54.0000 1 0 11778 55.4417 C116 C 1 NA Newark, NJ
1 1 Stengel, Mrs. Charles Emil Henry (Annie May Morris) female 43.0000 1 0 11778 55.4417 C116 C 5 NA Newark, NJ
1 1 Stephenson, Mrs. Walter Bertram (Martha Eustis) female 52.0000 1 0 36947 78.2667 D20 C 4 NA Haverford, PA
1 0 Stewart, Mr. Albert A male NA 0 0 PC 17605 27.7208 NA C NA NA Gallipolis, Ohio / ? Paris / New York
1 1 Stone, Mrs. George Nelson (Martha Evelyn) female 62.0000 0 0 113572 80.0000 B28 NA 6 NA Cincinatti, OH
1 0 Straus, Mr. Isidor male 67.0000 1 0 PC 17483 221.7792 C55 C57 S NA 96 New York, NY
1 0 Straus, Mrs. Isidor (Rosalie Ida Blun) female 63.0000 1 0 PC 17483 221.7792 C55 C57 S NA NA New York, NY
1 0 Sutton, Mr. Frederick male 61.0000 0 0 36963 32.3208 D50 S NA 46 Haddenfield, NJ
1 1 Swift, Mrs. Frederick Joel (Margaret Welles Barron) female 48.0000 0 0 17466 25.9292 D17 S 8 NA Brooklyn, NY
1 1 Taussig, Miss. Ruth female 18.0000 0 2 110413 79.6500 E68 S 8 NA New York, NY
1 0 Taussig, Mr. Emil male 52.0000 1 1 110413 79.6500 E67 S NA NA New York, NY
1 1 Taussig, Mrs. Emil (Tillie Mandelbaum) female 39.0000 1 1 110413 79.6500 E67 S 8 NA New York, NY
1 1 Taylor, Mr. Elmer Zebley male 48.0000 1 0 19996 52.0000 C126 S 5 7 NA London / East Orange, NJ
1 1 Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright) female NA 1 0 19996 52.0000 C126 S 5 7 NA London / East Orange, NJ
1 0 Thayer, Mr. John Borland male 49.0000 1 1 17421 110.8833 C68 C NA NA Haverford, PA
1 1 Thayer, Mr. John Borland Jr male 17.0000 0 2 17421 110.8833 C70 C B NA Haverford, PA
1 1 Thayer, Mrs. John Borland (Marian Longstreth Morris) female 39.0000 1 1 17421 110.8833 C68 C 4 NA Haverford, PA
1 1 Thorne, Mrs. Gertrude Maybelle female NA 0 0 PC 17585 79.2000 NA C D NA New York, NY
1 1 Tucker, Mr. Gilbert Milligan Jr male 31.0000 0 0 2543 28.5375 C53 C 7 NA Albany, NY
1 0 Uruchurtu, Don. Manuel E male 40.0000 0 0 PC 17601 27.7208 NA C NA NA Mexico City, Mexico
1 0 Van der hoef, Mr. Wyckoff male 61.0000 0 0 111240 33.5000 B19 S NA 245 Brooklyn, NY
1 0 Walker, Mr. William Anderson male 47.0000 0 0 36967 34.0208 D46 S NA NA East Orange, NJ
1 1 Ward, Miss. Anna female 35.0000 0 0 PC 17755 512.3292 NA C 3 NA NA
1 0 Warren, Mr. Frank Manley male 64.0000 1 0 110813 75.2500 D37 C NA NA Portland, OR
1 1 Warren, Mrs. Frank Manley (Anna Sophia Atkinson) female 60.0000 1 0 110813 75.2500 D37 C 5 NA Portland, OR
1 0 Weir, Col. John male 60.0000 0 0 113800 26.5500 NA S NA NA England Salt Lake City, Utah
1 0 White, Mr. Percival Wayland male 54.0000 0 1 35281 77.2875 D26 S NA NA Brunswick, ME
1 0 White, Mr. Richard Frasar male 21.0000 0 1 35281 77.2875 D26 S NA 169 Brunswick, ME
1 1 White, Mrs. John Stuart (Ella Holmes) female 55.0000 0 0 PC 17760 135.6333 C32 C 8 NA New York, NY / Briarcliff Manor NY
1 1 Wick, Miss. Mary Natalie female 31.0000 0 2 36928 164.8667 C7 S 8 NA Youngstown, OH
1 0 Wick, Mr. George Dennick male 57.0000 1 1 36928 164.8667 NA S NA NA Youngstown, OH
1 1 Wick, Mrs. George Dennick (Mary Hitchcock) female 45.0000 1 1 36928 164.8667 NA S 8 NA Youngstown, OH
1 0 Widener, Mr. George Dunton male 50.0000 1 1 113503 211.5000 C80 C NA NA Elkins Park, PA
1 0 Widener, Mr. Harry Elkins male 27.0000 0 2 113503 211.5000 C82 C NA NA Elkins Park, PA
1 1 Widener, Mrs. George Dunton (Eleanor Elkins) female 50.0000 1 1 113503 211.5000 C80 C 4 NA Elkins Park, PA
1 1 Willard, Miss. Constance female 21.0000 0 0 113795 26.5500 NA S 8 10 NA Duluth, MN
1 0 Williams, Mr. Charles Duane male 51.0000 0 1 PC 17597 61.3792 NA C NA NA Geneva, Switzerland / Radnor, PA
1 1 Williams, Mr. Richard Norris II male 21.0000 0 1 PC 17597 61.3792 NA C A NA Geneva, Switzerland / Radnor, PA
1 0 Williams-Lambert, Mr. Fletcher Fellows male NA 0 0 113510 35.0000 C128 S NA NA London, England
1 1 Wilson, Miss. Helen Alice female 31.0000 0 0 16966 134.5000 E39 E41 C 3 NA NA
1 1 Woolner, Mr. Hugh male NA 0 0 19947 35.5000 C52 S D NA London, England
1 0 Wright, Mr. George male 62.0000 0 0 113807 26.5500 NA S NA NA Halifax, NS
1 1 Young, Miss. Marie Grice female 36.0000 0 0 PC 17760 135.6333 C32 C 8 NA New York, NY / Washington, DC
2 0 Abelson, Mr. Samuel male 30.0000 1 0 P/PP 3381 24.0000 NA C NA NA Russia New York, NY
2 1 Abelson, Mrs. Samuel (Hannah Wizosky) female 28.0000 1 0 P/PP 3381 24.0000 NA C 10 NA Russia New York, NY
2 0 Aldworth, Mr. Charles Augustus male 30.0000 0 0 248744 13.0000 NA S NA NA Bryn Mawr, PA, USA
2 0 Andrew, Mr. Edgardo Samuel male 18.0000 0 0 231945 11.5000 NA S NA NA Buenos Aires, Argentina / New Jersey, NJ
2 0 Andrew, Mr. Frank Thomas male 25.0000 0 0 C.A. 34050 10.5000 NA S NA NA Cornwall, England Houghton, MI
2 0 Angle, Mr. William A male 34.0000 1 0 226875 26.0000 NA S NA NA Warwick, England
2 1 Angle, Mrs. William A (Florence “Mary” Agnes Hughes) female 36.0000 1 0 226875 26.0000 NA S 11 NA Warwick, England
2 0 Ashby, Mr. John male 57.0000 0 0 244346 13.0000 NA S NA NA West Hoboken, NJ
2 0 Bailey, Mr. Percy Andrew male 18.0000 0 0 29108 11.5000 NA S NA NA Penzance, Cornwall / Akron, OH
2 0 Baimbrigge, Mr. Charles Robert male 23.0000 0 0 C.A. 31030 10.5000 NA S NA NA Guernsey
2 1 Ball, Mrs. (Ada E Hall) female 36.0000 0 0 28551 13.0000 D S 10 NA Bristol, Avon / Jacksonville, FL
2 0 Banfield, Mr. Frederick James male 28.0000 0 0 C.A./SOTON 34068 10.5000 NA S NA NA Plymouth, Dorset / Houghton, MI
2 0 Bateman, Rev. Robert James male 51.0000 0 0 S.O.P. 1166 12.5250 NA S NA 174 Jacksonville, FL
2 1 Beane, Mr. Edward male 32.0000 1 0 2908 26.0000 NA S 13 NA Norwich / New York, NY
2 1 Beane, Mrs. Edward (Ethel Clarke) female 19.0000 1 0 2908 26.0000 NA S 13 NA Norwich / New York, NY
2 0 Beauchamp, Mr. Henry James male 28.0000 0 0 244358 26.0000 NA S NA NA England
2 1 Becker, Master. Richard F male 1.0000 2 1 230136 39.0000 F4 S 11 NA Guntur, India / Benton Harbour, MI
2 1 Becker, Miss. Marion Louise female 4.0000 2 1 230136 39.0000 F4 S 11 NA Guntur, India / Benton Harbour, MI
2 1 Becker, Miss. Ruth Elizabeth female 12.0000 2 1 230136 39.0000 F4 S 13 NA Guntur, India / Benton Harbour, MI
2 1 Becker, Mrs. Allen Oliver (Nellie E Baumgardner) female 36.0000 0 3 230136 39.0000 F4 S 11 NA Guntur, India / Benton Harbour, MI
2 1 Beesley, Mr. Lawrence male 34.0000 0 0 248698 13.0000 D56 S 13 NA London
2 1 Bentham, Miss. Lilian W female 19.0000 0 0 28404 13.0000 NA S 12 NA Rochester, NY
2 0 Berriman, Mr. William John male 23.0000 0 0 28425 13.0000 NA S NA NA St Ives, Cornwall / Calumet, MI
2 0 Botsford, Mr. William Hull male 26.0000 0 0 237670 13.0000 NA S NA NA Elmira, NY / Orange, NJ
2 0 Bowenur, Mr. Solomon male 42.0000 0 0 211535 13.0000 NA S NA NA London
2 0 Bracken, Mr. James H male 27.0000 0 0 220367 13.0000 NA S NA NA Lake Arthur, Chavez County, NM
2 1 Brown, Miss. Amelia “Mildred” female 24.0000 0 0 248733 13.0000 F33 S 11 NA London / Montreal, PQ
2 1 Brown, Miss. Edith Eileen female 15.0000 0 2 29750 39.0000 NA S 14 NA Cape Town, South Africa / Seattle, WA
2 0 Brown, Mr. Thomas William Solomon male 60.0000 1 1 29750 39.0000 NA S NA NA Cape Town, South Africa / Seattle, WA
2 1 Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford) female 40.0000 1 1 29750 39.0000 NA S 14 NA Cape Town, South Africa / Seattle, WA
2 1 Bryhl, Miss. Dagmar Jenny Ingeborg female 20.0000 1 0 236853 26.0000 NA S 12 NA Skara, Sweden / Rockford, IL
2 0 Bryhl, Mr. Kurt Arnold Gottfrid male 25.0000 1 0 236853 26.0000 NA S NA NA Skara, Sweden / Rockford, IL
2 1 Buss, Miss. Kate female 36.0000 0 0 27849 13.0000 NA S 9 NA Sittingbourne, England / San Diego, CA
2 0 Butler, Mr. Reginald Fenton male 25.0000 0 0 234686 13.0000 NA S NA 97 Southsea, Hants
2 0 Byles, Rev. Thomas Roussel Davids male 42.0000 0 0 244310 13.0000 NA S NA NA London
2 1 Bystrom, Mrs. (Karolina) female 42.0000 0 0 236852 13.0000 NA S NA NA New York, NY
2 1 Caldwell, Master. Alden Gates male 0.8333 0 2 248738 29.0000 NA S 13 NA Bangkok, Thailand / Roseville, IL
2 1 Caldwell, Mr. Albert Francis male 26.0000 1 1 248738 29.0000 NA S 13 NA Bangkok, Thailand / Roseville, IL
2 1 Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh) female 22.0000 1 1 248738 29.0000 NA S 13 NA Bangkok, Thailand / Roseville, IL
2 1 Cameron, Miss. Clear Annie female 35.0000 0 0 F.C.C. 13528 21.0000 NA S 14 NA Mamaroneck, NY
2 0 Campbell, Mr. William male NA 0 0 239853 0.0000 NA S NA NA Belfast
2 0 Carbines, Mr. William male 19.0000 0 0 28424 13.0000 NA S NA 18 St Ives, Cornwall / Calumet, MI
2 0 Carter, Mrs. Ernest Courtenay (Lilian Hughes) female 44.0000 1 0 244252 26.0000 NA S NA NA London
2 0 Carter, Rev. Ernest Courtenay male 54.0000 1 0 244252 26.0000 NA S NA NA London
2 0 Chapman, Mr. Charles Henry male 52.0000 0 0 248731 13.5000 NA S NA 130 Bronx, NY
2 0 Chapman, Mr. John Henry male 37.0000 1 0 SC/AH 29037 26.0000 NA S NA 17 Cornwall / Spokane, WA
2 0 Chapman, Mrs. John Henry (Sara Elizabeth Lawry) female 29.0000 1 0 SC/AH 29037 26.0000 NA S NA NA Cornwall / Spokane, WA
2 1 Christy, Miss. Julie Rachel female 25.0000 1 1 237789 30.0000 NA S 12 NA London
2 1 Christy, Mrs. (Alice Frances) female 45.0000 0 2 237789 30.0000 NA S 12 NA London
2 0 Clarke, Mr. Charles Valentine male 29.0000 1 0 2003 26.0000 NA S NA NA England / San Francisco, CA
2 1 Clarke, Mrs. Charles V (Ada Maria Winfield) female 28.0000 1 0 2003 26.0000 NA S 14 NA England / San Francisco, CA
2 0 Coleridge, Mr. Reginald Charles male 29.0000 0 0 W./C. 14263 10.5000 NA S NA NA Hartford, Huntingdonshire
2 0 Collander, Mr. Erik Gustaf male 28.0000 0 0 248740 13.0000 NA S NA NA Helsinki, Finland Ashtabula, Ohio
2 1 Collett, Mr. Sidney C Stuart male 24.0000 0 0 28034 10.5000 NA S 9 NA London / Fort Byron, NY
2 1 Collyer, Miss. Marjorie “Lottie” female 8.0000 0 2 C.A. 31921 26.2500 NA S 14 NA Bishopstoke, Hants / Fayette Valley, ID
2 0 Collyer, Mr. Harvey male 31.0000 1 1 C.A. 31921 26.2500 NA S NA NA Bishopstoke, Hants / Fayette Valley, ID
2 1 Collyer, Mrs. Harvey (Charlotte Annie Tate) female 31.0000 1 1 C.A. 31921 26.2500 NA S 14 NA Bishopstoke, Hants / Fayette Valley, ID
2 1 Cook, Mrs. (Selena Rogers) female 22.0000 0 0 W./C. 14266 10.5000 F33 S 14 NA Pennsylvania
2 0 Corbett, Mrs. Walter H (Irene Colvin) female 30.0000 0 0 237249 13.0000 NA S NA NA Provo, UT
2 0 Corey, Mrs. Percy C (Mary Phyllis Elizabeth Miller) female NA 0 0 F.C.C. 13534 21.0000 NA S NA NA Upper Burma, India Pittsburgh, PA
2 0 Cotterill, Mr. Henry “Harry” male 21.0000 0 0 29107 11.5000 NA S NA NA Penzance, Cornwall / Akron, OH
2 0 Cunningham, Mr. Alfred Fleming male NA 0 0 239853 0.0000 NA S NA NA Belfast
2 1 Davies, Master. John Morgan Jr male 8.0000 1 1 C.A. 33112 36.7500 NA S 14 NA St Ives, Cornwall / Hancock, MI
2 0 Davies, Mr. Charles Henry male 18.0000 0 0 S.O.C. 14879 73.5000 NA S NA NA Lyndhurst, England
2 1 Davies, Mrs. John Morgan (Elizabeth Agnes Mary White) female 48.0000 0 2 C.A. 33112 36.7500 NA S 14 NA St Ives, Cornwall / Hancock, MI
2 1 Davis, Miss. Mary female 28.0000 0 0 237668 13.0000 NA S 13 NA London / Staten Island, NY
2 0 de Brito, Mr. Jose Joaquim male 32.0000 0 0 244360 13.0000 NA S NA NA Portugal / Sau Paulo, Brazil
2 0 Deacon, Mr. Percy William male 17.0000 0 0 S.O.C. 14879 73.5000 NA S NA NA NA
2 0 del Carlo, Mr. Sebastiano male 29.0000 1 0 SC/PARIS 2167 27.7208 NA C NA 295 Lucca, Italy / California
2 1 del Carlo, Mrs. Sebastiano (Argenia Genovesi) female 24.0000 1 0 SC/PARIS 2167 27.7208 NA C 12 NA Lucca, Italy / California
2 0 Denbury, Mr. Herbert male 25.0000 0 0 C.A. 31029 31.5000 NA S NA NA Guernsey / Elizabeth, NJ
2 0 Dibden, Mr. William male 18.0000 0 0 S.O.C. 14879 73.5000 NA S NA NA New Forest, England
2 1 Doling, Miss. Elsie female 18.0000 0 1 231919 23.0000 NA S NA NA Southampton
2 1 Doling, Mrs. John T (Ada Julia Bone) female 34.0000 0 1 231919 23.0000 NA S NA NA Southampton
2 0 Downton, Mr. William James male 54.0000 0 0 28403 26.0000 NA S NA NA Holley, NY
2 1 Drew, Master. Marshall Brines male 8.0000 0 2 28220 32.5000 NA S 10 NA Greenport, NY
2 0 Drew, Mr. James Vivian male 42.0000 1 1 28220 32.5000 NA S NA NA Greenport, NY
2 1 Drew, Mrs. James Vivian (Lulu Thorne Christian) female 34.0000 1 1 28220 32.5000 NA S 10 NA Greenport, NY
2 1 Duran y More, Miss. Asuncion female 27.0000 1 0 SC/PARIS 2149 13.8583 NA C 12 NA Barcelona, Spain / Havana, Cuba
2 1 Duran y More, Miss. Florentina female 30.0000 1 0 SC/PARIS 2148 13.8583 NA C 12 NA Barcelona, Spain / Havana, Cuba
2 0 Eitemiller, Mr. George Floyd male 23.0000 0 0 29751 13.0000 NA S NA NA England / Detroit, MI
2 0 Enander, Mr. Ingvar male 21.0000 0 0 236854 13.0000 NA S NA NA Goteborg, Sweden / Rockford, IL
2 0 Fahlstrom, Mr. Arne Jonas male 18.0000 0 0 236171 13.0000 NA S NA NA Oslo, Norway Bayonne, NJ
2 0 Faunthorpe, Mr. Harry male 40.0000 1 0 2926 26.0000 NA S NA 286 England / Philadelphia, PA
2 1 Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson) female 29.0000 1 0 2926 26.0000 NA S 16 NA NA
2 0 Fillbrook, Mr. Joseph Charles male 18.0000 0 0 C.A. 15185 10.5000 NA S NA NA Cornwall / Houghton, MI
2 0 Fox, Mr. Stanley Hubert male 36.0000 0 0 229236 13.0000 NA S NA 236 Rochester, NY
2 0 Frost, Mr. Anthony Wood “Archie” male NA 0 0 239854 0.0000 NA S NA NA Belfast
2 0 Funk, Miss. Annie Clemmer female 38.0000 0 0 237671 13.0000 NA S NA NA Janjgir, India / Pennsylvania
2 0 Fynney, Mr. Joseph J male 35.0000 0 0 239865 26.0000 NA S NA 322 Liverpool / Montreal, PQ
2 0 Gale, Mr. Harry male 38.0000 1 0 28664 21.0000 NA S NA NA Cornwall / Clear Creek, CO
2 0 Gale, Mr. Shadrach male 34.0000 1 0 28664 21.0000 NA S NA NA Cornwall / Clear Creek, CO
2 1 Garside, Miss. Ethel female 34.0000 0 0 243880 13.0000 NA S 12 NA Brooklyn, NY
2 0 Gaskell, Mr. Alfred male 16.0000 0 0 239865 26.0000 NA S NA NA Liverpool / Montreal, PQ
2 0 Gavey, Mr. Lawrence male 26.0000 0 0 31028 10.5000 NA S NA NA Guernsey / Elizabeth, NJ
2 0 Gilbert, Mr. William male 47.0000 0 0 C.A. 30769 10.5000 NA S NA NA Cornwall
2 0 Giles, Mr. Edgar male 21.0000 1 0 28133 11.5000 NA S NA NA Cornwall / Camden, NJ
2 0 Giles, Mr. Frederick Edward male 21.0000 1 0 28134 11.5000 NA S NA NA Cornwall / Camden, NJ
2 0 Giles, Mr. Ralph male 24.0000 0 0 248726 13.5000 NA S NA 297 West Kensington, London
2 0 Gill, Mr. John William male 24.0000 0 0 233866 13.0000 NA S NA 155 Clevedon, England
2 0 Gillespie, Mr. William Henry male 34.0000 0 0 12233 13.0000 NA S NA NA Vancouver, BC
2 0 Givard, Mr. Hans Kristensen male 30.0000 0 0 250646 13.0000 NA S NA 305 NA
2 0 Greenberg, Mr. Samuel male 52.0000 0 0 250647 13.0000 NA S NA 19 Bronx, NY
2 0 Hale, Mr. Reginald male 30.0000 0 0 250653 13.0000 NA S NA 75 Auburn, NY
2 1 Hamalainen, Master. Viljo male 0.6667 1 1 250649 14.5000 NA S 4 NA Detroit, MI
2 1 Hamalainen, Mrs. William (Anna) female 24.0000 0 2 250649 14.5000 NA S 4 NA Detroit, MI
2 0 Harbeck, Mr. William H male 44.0000 0 0 248746 13.0000 NA S NA 35 Seattle, WA / Toledo, OH
2 1 Harper, Miss. Annie Jessie “Nina” female 6.0000 0 1 248727 33.0000 NA S 11 NA Denmark Hill, Surrey / Chicago
2 0 Harper, Rev. John male 28.0000 0 1 248727 33.0000 NA S NA NA Denmark Hill, Surrey / Chicago
2 1 Harris, Mr. George male 62.0000 0 0 S.W./PP 752 10.5000 NA S 15 NA London
2 0 Harris, Mr. Walter male 30.0000 0 0 W/C 14208 10.5000 NA S NA NA Walthamstow, England
2 1 Hart, Miss. Eva Miriam female 7.0000 0 2 F.C.C. 13529 26.2500 NA S 14 NA Ilford, Essex / Winnipeg, MB
2 0 Hart, Mr. Benjamin male 43.0000 1 1 F.C.C. 13529 26.2500 NA S NA NA Ilford, Essex / Winnipeg, MB
2 1 Hart, Mrs. Benjamin (Esther Ada Bloomfield) female 45.0000 1 1 F.C.C. 13529 26.2500 NA S 14 NA Ilford, Essex / Winnipeg, MB
2 1 Herman, Miss. Alice female 24.0000 1 2 220845 65.0000 NA S 9 NA Somerset / Bernardsville, NJ
2 1 Herman, Miss. Kate female 24.0000 1 2 220845 65.0000 NA S 9 NA Somerset / Bernardsville, NJ
2 0 Herman, Mr. Samuel male 49.0000 1 2 220845 65.0000 NA S NA NA Somerset / Bernardsville, NJ
2 1 Herman, Mrs. Samuel (Jane Laver) female 48.0000 1 2 220845 65.0000 NA S 9 NA Somerset / Bernardsville, NJ
2 1 Hewlett, Mrs. (Mary D Kingcome) female 55.0000 0 0 248706 16.0000 NA S 13 NA India / Rapid City, SD
2 0 Hickman, Mr. Leonard Mark male 24.0000 2 0 S.O.C. 14879 73.5000 NA S NA NA West Hampstead, London / Neepawa, MB
2 0 Hickman, Mr. Lewis male 32.0000 2 0 S.O.C. 14879 73.5000 NA S NA 256 West Hampstead, London / Neepawa, MB
2 0 Hickman, Mr. Stanley George male 21.0000 2 0 S.O.C. 14879 73.5000 NA S NA NA West Hampstead, London / Neepawa, MB
2 0 Hiltunen, Miss. Marta female 18.0000 1 1 250650 13.0000 NA S NA NA Kontiolahti, Finland / Detroit, MI
2 1 Hocking, Miss. Ellen “Nellie” female 20.0000 2 1 29105 23.0000 NA S 4 NA Cornwall / Akron, OH
2 0 Hocking, Mr. Richard George male 23.0000 2 1 29104 11.5000 NA S NA NA Cornwall / Akron, OH
2 0 Hocking, Mr. Samuel James Metcalfe male 36.0000 0 0 242963 13.0000 NA S NA NA Devonport, England
2 1 Hocking, Mrs. Elizabeth (Eliza Needs) female 54.0000 1 3 29105 23.0000 NA S 4 NA Cornwall / Akron, OH
2 0 Hodges, Mr. Henry Price male 50.0000 0 0 250643 13.0000 NA S NA 149 Southampton
2 0 Hold, Mr. Stephen male 44.0000 1 0 26707 26.0000 NA S NA NA England / Sacramento, CA
2 1 Hold, Mrs. Stephen (Annie Margaret Hill) female 29.0000 1 0 26707 26.0000 NA S 10 NA England / Sacramento, CA
2 0 Hood, Mr. Ambrose Jr male 21.0000 0 0 S.O.C. 14879 73.5000 NA S NA NA New Forest, England
2 1 Hosono, Mr. Masabumi male 42.0000 0 0 237798 13.0000 NA S 10 NA Tokyo, Japan
2 0 Howard, Mr. Benjamin male 63.0000 1 0 24065 26.0000 NA S NA NA Swindon, England
2 0 Howard, Mrs. Benjamin (Ellen Truelove Arman) female 60.0000 1 0 24065 26.0000 NA S NA NA Swindon, England
2 0 Hunt, Mr. George Henry male 33.0000 0 0 SCO/W 1585 12.2750 NA S NA NA Philadelphia, PA
2 1 Ilett, Miss. Bertha female 17.0000 0 0 SO/C 14885 10.5000 NA S NA NA Guernsey
2 0 Jacobsohn, Mr. Sidney Samuel male 42.0000 1 0 243847 27.0000 NA S NA NA London
2 1 Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy) female 24.0000 2 1 243847 27.0000 NA S 12 NA London
2 0 Jarvis, Mr. John Denzil male 47.0000 0 0 237565 15.0000 NA S NA NA North Evington, England
2 0 Jefferys, Mr. Clifford Thomas male 24.0000 2 0 C.A. 31029 31.5000 NA S NA NA Guernsey / Elizabeth, NJ
2 0 Jefferys, Mr. Ernest Wilfred male 22.0000 2 0 C.A. 31029 31.5000 NA S NA NA Guernsey / Elizabeth, NJ
2 0 Jenkin, Mr. Stephen Curnow male 32.0000 0 0 C.A. 33111 10.5000 NA S NA NA St Ives, Cornwall / Houghton, MI
2 1 Jerwan, Mrs. Amin S (Marie Marthe Thuillard) female 23.0000 0 0 SC/AH Basle 541 13.7917 D C 11 NA New York, NY
2 0 Kantor, Mr. Sinai male 34.0000 1 0 244367 26.0000 NA S NA 283 Moscow / Bronx, NY
2 1 Kantor, Mrs. Sinai (Miriam Sternin) female 24.0000 1 0 244367 26.0000 NA S 12 NA Moscow / Bronx, NY
2 0 Karnes, Mrs. J Frank (Claire Bennett) female 22.0000 0 0 F.C.C. 13534 21.0000 NA S NA NA India / Pittsburgh, PA
2 1 Keane, Miss. Nora A female NA 0 0 226593 12.3500 E101 Q 10 NA Harrisburg, PA
2 0 Keane, Mr. Daniel male 35.0000 0 0 233734 12.3500 NA Q NA NA NA
2 1 Kelly, Mrs. Florence “Fannie” female 45.0000 0 0 223596 13.5000 NA S 9 NA London / New York, NY
2 0 Kirkland, Rev. Charles Leonard male 57.0000 0 0 219533 12.3500 NA Q NA NA Glasgow / Bangor, ME
2 0 Knight, Mr. Robert J male NA 0 0 239855 0.0000 NA S NA NA Belfast
2 0 Kvillner, Mr. Johan Henrik Johannesson male 31.0000 0 0 C.A. 18723 10.5000 NA S NA 165 Sweden / Arlington, NJ
2 0 Lahtinen, Mrs. William (Anna Sylfven) female 26.0000 1 1 250651 26.0000 NA S NA NA Minneapolis, MN
2 0 Lahtinen, Rev. William male 30.0000 1 1 250651 26.0000 NA S NA NA Minneapolis, MN
2 0 Lamb, Mr. John Joseph male NA 0 0 240261 10.7083 NA Q NA NA NA
2 1 Laroche, Miss. Louise female 1.0000 1 2 SC/Paris 2123 41.5792 NA C 14 NA Paris / Haiti
2 1 Laroche, Miss. Simonne Marie Anne Andree female 3.0000 1 2 SC/Paris 2123 41.5792 NA C 14 NA Paris / Haiti
2 0 Laroche, Mr. Joseph Philippe Lemercier male 25.0000 1 2 SC/Paris 2123 41.5792 NA C NA NA Paris / Haiti
2 1 Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue) female 22.0000 1 2 SC/Paris 2123 41.5792 NA C 14 NA Paris / Haiti
2 1 Lehmann, Miss. Bertha female 17.0000 0 0 SC 1748 12.0000 NA C 12 NA Berne, Switzerland / Central City, IA
2 1 Leitch, Miss. Jessie Wills female NA 0 0 248727 33.0000 NA S 11 NA London / Chicago, IL
2 1 Lemore, Mrs. (Amelia Milley) female 34.0000 0 0 C.A. 34260 10.5000 F33 S 14 NA Chicago, IL
2 0 Levy, Mr. Rene Jacques male 36.0000 0 0 SC/Paris 2163 12.8750 D C NA NA Montreal, PQ
2 0 Leyson, Mr. Robert William Norman male 24.0000 0 0 C.A. 29566 10.5000 NA S NA 108 NA
2 0 Lingane, Mr. John male 61.0000 0 0 235509 12.3500 NA Q NA NA NA
2 0 Louch, Mr. Charles Alexander male 50.0000 1 0 SC/AH 3085 26.0000 NA S NA 121 Weston-Super-Mare, Somerset
2 1 Louch, Mrs. Charles Alexander (Alice Adelaide Slow) female 42.0000 1 0 SC/AH 3085 26.0000 NA S NA NA Weston-Super-Mare, Somerset
2 0 Mack, Mrs. (Mary) female 57.0000 0 0 S.O./P.P. 3 10.5000 E77 S NA 52 Southampton / New York, NY
2 0 Malachard, Mr. Noel male NA 0 0 237735 15.0458 D C NA NA Paris
2 1 Mallet, Master. Andre male 1.0000 0 2 S.C./PARIS 2079 37.0042 NA C 10 NA Paris / Montreal, PQ
2 0 Mallet, Mr. Albert male 31.0000 1 1 S.C./PARIS 2079 37.0042 NA C NA NA Paris / Montreal, PQ
2 1 Mallet, Mrs. Albert (Antoinette Magnin) female 24.0000 1 1 S.C./PARIS 2079 37.0042 NA C 10 NA Paris / Montreal, PQ
2 0 Mangiavacchi, Mr. Serafino Emilio male NA 0 0 SC/A.3 2861 15.5792 NA C NA NA New York, NY
2 0 Matthews, Mr. William John male 30.0000 0 0 28228 13.0000 NA S NA NA St Austall, Cornwall
2 0 Maybery, Mr. Frank Hubert male 40.0000 0 0 239059 16.0000 NA S NA NA Weston-Super-Mare / Moose Jaw, SK
2 0 McCrae, Mr. Arthur Gordon male 32.0000 0 0 237216 13.5000 NA S NA 209 Sydney, Australia
2 0 McCrie, Mr. James Matthew male 30.0000 0 0 233478 13.0000 NA S NA NA Sarnia, ON
2 0 McKane, Mr. Peter David male 46.0000 0 0 28403 26.0000 NA S NA NA Rochester, NY
2 1 Mellinger, Miss. Madeleine Violet female 13.0000 0 1 250644 19.5000 NA S 14 NA England / Bennington, VT
2 1 Mellinger, Mrs. (Elizabeth Anne Maidment) female 41.0000 0 1 250644 19.5000 NA S 14 NA England / Bennington, VT
2 1 Mellors, Mr. William John male 19.0000 0 0 SW/PP 751 10.5000 NA S B NA Chelsea, London
2 0 Meyer, Mr. August male 39.0000 0 0 248723 13.0000 NA S NA NA Harrow-on-the-Hill, Middlesex
2 0 Milling, Mr. Jacob Christian male 48.0000 0 0 234360 13.0000 NA S NA 271 Copenhagen, Denmark
2 0 Mitchell, Mr. Henry Michael male 70.0000 0 0 C.A. 24580 10.5000 NA S NA NA Guernsey / Montclair, NJ and/or Toledo, Ohio
2 0 Montvila, Rev. Juozas male 27.0000 0 0 211536 13.0000 NA S NA NA Worcester, MA
2 0 Moraweck, Dr. Ernest male 54.0000 0 0 29011 14.0000 NA S NA NA Frankfort, KY
2 0 Morley, Mr. Henry Samuel (“Mr Henry Marshall”) male 39.0000 0 0 250655 26.0000 NA S NA NA NA
2 0 Mudd, Mr. Thomas Charles male 16.0000 0 0 S.O./P.P. 3 10.5000 NA S NA NA Halesworth, England
2 0 Myles, Mr. Thomas Francis male 62.0000 0 0 240276 9.6875 NA Q NA NA Cambridge, MA
2 0 Nasser, Mr. Nicholas male 32.5000 1 0 237736 30.0708 NA C NA 43 New York, NY
2 1 Nasser, Mrs. Nicholas (Adele Achem) female 14.0000 1 0 237736 30.0708 NA C NA NA New York, NY
2 1 Navratil, Master. Edmond Roger male 2.0000 1 1 230080 26.0000 F2 S D NA Nice, France
2 1 Navratil, Master. Michel M male 3.0000 1 1 230080 26.0000 F2 S D NA Nice, France
2 0 Navratil, Mr. Michel (“Louis M Hoffman”) male 36.5000 0 2 230080 26.0000 F2 S NA 15 Nice, France
2 0 Nesson, Mr. Israel male 26.0000 0 0 244368 13.0000 F2 S NA NA Boston, MA
2 0 Nicholls, Mr. Joseph Charles male 19.0000 1 1 C.A. 33112 36.7500 NA S NA 101 Cornwall / Hancock, MI
2 0 Norman, Mr. Robert Douglas male 28.0000 0 0 218629 13.5000 NA S NA 287 Glasgow
2 1 Nourney, Mr. Alfred (“Baron von Drachstedt”) male 20.0000 0 0 SC/PARIS 2166 13.8625 D38 C 7 NA Cologne, Germany
2 1 Nye, Mrs. (Elizabeth Ramell) female 29.0000 0 0 C.A. 29395 10.5000 F33 S 11 NA Folkstone, Kent / New York, NY
2 0 Otter, Mr. Richard male 39.0000 0 0 28213 13.0000 NA S NA NA Middleburg Heights, OH
2 1 Oxenham, Mr. Percy Thomas male 22.0000 0 0 W./C. 14260 10.5000 NA S 13 NA Pondersend, England / New Durham, NJ
2 1 Padro y Manent, Mr. Julian male NA 0 0 SC/PARIS 2146 13.8625 NA C 9 NA Spain / Havana, Cuba
2 0 Pain, Dr. Alfred male 23.0000 0 0 244278 10.5000 NA S NA NA Hamilton, ON
2 1 Pallas y Castello, Mr. Emilio male 29.0000 0 0 SC/PARIS 2147 13.8583 NA C 9 NA Spain / Havana, Cuba
2 0 Parker, Mr. Clifford Richard male 28.0000 0 0 SC 14888 10.5000 NA S NA NA St Andrews, Guernsey
2 0 Parkes, Mr. Francis “Frank” male NA 0 0 239853 0.0000 NA S NA NA Belfast
2 1 Parrish, Mrs. (Lutie Davis) female 50.0000 0 1 230433 26.0000 NA S 12 NA Woodford County, KY
2 0 Pengelly, Mr. Frederick William male 19.0000 0 0 28665 10.5000 NA S NA NA Gunnislake, England / Butte, MT
2 0 Pernot, Mr. Rene male NA 0 0 SC/PARIS 2131 15.0500 NA C NA NA NA
2 0 Peruschitz, Rev. Joseph Maria male 41.0000 0 0 237393 13.0000 NA S NA NA NA
2 1 Phillips, Miss. Alice Frances Louisa female 21.0000 0 1 S.O./P.P. 2 21.0000 NA S 12 NA Ilfracombe, Devon
2 1 Phillips, Miss. Kate Florence (“Mrs Kate Louise Phillips Marshall”) female 19.0000 0 0 250655 26.0000 NA S 11 NA Worcester, England
2 0 Phillips, Mr. Escott Robert male 43.0000 0 1 S.O./P.P. 2 21.0000 NA S NA NA Ilfracombe, Devon
2 1 Pinsky, Mrs. (Rosa) female 32.0000 0 0 234604 13.0000 NA S 9 NA Russia
2 0 Ponesell, Mr. Martin male 34.0000 0 0 250647 13.0000 NA S NA NA Denmark / New York, NY
2 1 Portaluppi, Mr. Emilio Ilario Giuseppe male 30.0000 0 0 C.A. 34644 12.7375 NA C 14 NA Milford, NH
2 0 Pulbaum, Mr. Franz male 27.0000 0 0 SC/PARIS 2168 15.0333 NA C NA NA Paris
2 1 Quick, Miss. Phyllis May female 2.0000 1 1 26360 26.0000 NA S 11 NA Plymouth, Devon / Detroit, MI
2 1 Quick, Miss. Winifred Vera female 8.0000 1 1 26360 26.0000 NA S 11 NA Plymouth, Devon / Detroit, MI
2 1 Quick, Mrs. Frederick Charles (Jane Richards) female 33.0000 0 2 26360 26.0000 NA S 11 NA Plymouth, Devon / Detroit, MI
2 0 Reeves, Mr. David male 36.0000 0 0 C.A. 17248 10.5000 NA S NA NA Brighton, Sussex
2 0 Renouf, Mr. Peter Henry male 34.0000 1 0 31027 21.0000 NA S 12 NA Elizabeth, NJ
2 1 Renouf, Mrs. Peter Henry (Lillian Jefferys) female 30.0000 3 0 31027 21.0000 NA S NA NA Elizabeth, NJ
2 1 Reynaldo, Ms. Encarnacion female 28.0000 0 0 230434 13.0000 NA S 9 NA Spain
2 0 Richard, Mr. Emile male 23.0000 0 0 SC/PARIS 2133 15.0458 NA C NA NA Paris / Montreal, PQ
2 1 Richards, Master. George Sibley male 0.8333 1 1 29106 18.7500 NA S 4 NA Cornwall / Akron, OH
2 1 Richards, Master. William Rowe male 3.0000 1 1 29106 18.7500 NA S 4 NA Cornwall / Akron, OH
2 1 Richards, Mrs. Sidney (Emily Hocking) female 24.0000 2 3 29106 18.7500 NA S 4 NA Cornwall / Akron, OH
2 1 Ridsdale, Miss. Lucy female 50.0000 0 0 W./C. 14258 10.5000 NA S 13 NA London, England / Marietta, Ohio and Milwaukee, WI
2 0 Rogers, Mr. Reginald Harry male 19.0000 0 0 28004 10.5000 NA S NA NA NA
2 1 Rugg, Miss. Emily female 21.0000 0 0 C.A. 31026 10.5000 NA S 12 NA Guernsey / Wilmington, DE
2 0 Schmidt, Mr. August male 26.0000 0 0 248659 13.0000 NA S NA NA Newark, NJ
2 0 Sedgwick, Mr. Charles Frederick Waddington male 25.0000 0 0 244361 13.0000 NA S NA NA Liverpool
2 0 Sharp, Mr. Percival James R male 27.0000 0 0 244358 26.0000 NA S NA NA Hornsey, England
2 1 Shelley, Mrs. William (Imanita Parrish Hall) female 25.0000 0 1 230433 26.0000 NA S 12 NA Deer Lodge, MT
2 1 Silven, Miss. Lyyli Karoliina female 18.0000 0 2 250652 13.0000 NA S 16 NA Finland / Minneapolis, MN
2 1 Sincock, Miss. Maude female 20.0000 0 0 C.A. 33112 36.7500 NA S 11 NA Cornwall / Hancock, MI
2 1 Sinkkonen, Miss. Anna female 30.0000 0 0 250648 13.0000 NA S 10 NA Finland / Washington, DC
2 0 Sjostedt, Mr. Ernst Adolf male 59.0000 0 0 237442 13.5000 NA S NA NA Sault St Marie, ON
2 1 Slayter, Miss. Hilda Mary female 30.0000 0 0 234818 12.3500 NA Q 13 NA Halifax, NS
2 0 Slemen, Mr. Richard James male 35.0000 0 0 28206 10.5000 NA S NA NA Cornwall
2 1 Smith, Miss. Marion Elsie female 40.0000 0 0 31418 13.0000 NA S 9 NA NA
2 0 Sobey, Mr. Samuel James Hayden male 25.0000 0 0 C.A. 29178 13.0000 NA S NA NA Cornwall / Houghton, MI
2 0 Stanton, Mr. Samuel Ward male 41.0000 0 0 237734 15.0458 NA C NA NA New York, NY
2 0 Stokes, Mr. Philip Joseph male 25.0000 0 0 F.C.C. 13540 10.5000 NA S NA 81 Catford, Kent / Detroit, MI
2 0 Swane, Mr. George male 18.5000 0 0 248734 13.0000 F S NA 294 NA
2 0 Sweet, Mr. George Frederick male 14.0000 0 0 220845 65.0000 NA S NA NA Somerset / Bernardsville, NJ
2 1 Toomey, Miss. Ellen female 50.0000 0 0 F.C.C. 13531 10.5000 NA S 9 NA Indianapolis, IN
2 0 Troupiansky, Mr. Moses Aaron male 23.0000 0 0 233639 13.0000 NA S NA NA NA
2 1 Trout, Mrs. William H (Jessie L) female 28.0000 0 0 240929 12.6500 NA S NA NA Columbus, OH
2 1 Troutt, Miss. Edwina Celia “Winnie” female 27.0000 0 0 34218 10.5000 E101 S 16 NA Bath, England / Massachusetts
2 0 Turpin, Mr. William John Robert male 29.0000 1 0 11668 21.0000 NA S NA NA Plymouth, England
2 0 Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott) female 27.0000 1 0 11668 21.0000 NA S NA NA Plymouth, England
2 0 Veal, Mr. James male 40.0000 0 0 28221 13.0000 NA S NA NA Barre, Co Washington, VT
2 1 Walcroft, Miss. Nellie female 31.0000 0 0 F.C.C. 13528 21.0000 NA S 14 NA Mamaroneck, NY
2 0 Ware, Mr. John James male 30.0000 1 0 CA 31352 21.0000 NA S NA NA Bristol, England / New Britain, CT
2 0 Ware, Mr. William Jeffery male 23.0000 1 0 28666 10.5000 NA S NA NA NA
2 1 Ware, Mrs. John James (Florence Louise Long) female 31.0000 0 0 CA 31352 21.0000 NA S 10 NA Bristol, England / New Britain, CT
2 0 Watson, Mr. Ennis Hastings male NA 0 0 239856 0.0000 NA S NA NA Belfast
2 1 Watt, Miss. Bertha J female 12.0000 0 0 C.A. 33595 15.7500 NA S 9 NA Aberdeen / Portland, OR
2 1 Watt, Mrs. James (Elizabeth “Bessie” Inglis Milne) female 40.0000 0 0 C.A. 33595 15.7500 NA S 9 NA Aberdeen / Portland, OR
2 1 Webber, Miss. Susan female 32.5000 0 0 27267 13.0000 E101 S 12 NA England / Hartford, CT
2 0 Weisz, Mr. Leopold male 27.0000 1 0 228414 26.0000 NA S NA 293 Bromsgrove, England / Montreal, PQ
2 1 Weisz, Mrs. Leopold (Mathilde Francoise Pede) female 29.0000 1 0 228414 26.0000 NA S 10 NA Bromsgrove, England / Montreal, PQ
2 1 Wells, Master. Ralph Lester male 2.0000 1 1 29103 23.0000 NA S 14 NA Cornwall / Akron, OH
2 1 Wells, Miss. Joan female 4.0000 1 1 29103 23.0000 NA S 14 NA Cornwall / Akron, OH
2 1 Wells, Mrs. Arthur Henry (“Addie” Dart Trevaskis) female 29.0000 0 2 29103 23.0000 NA S 14 NA Cornwall / Akron, OH
2 1 West, Miss. Barbara J female 0.9167 1 2 C.A. 34651 27.7500 NA S 10 NA Bournmouth, England
2 1 West, Miss. Constance Mirium female 5.0000 1 2 C.A. 34651 27.7500 NA S 10 NA Bournmouth, England
2 0 West, Mr. Edwy Arthur male 36.0000 1 2 C.A. 34651 27.7500 NA S NA NA Bournmouth, England
2 1 West, Mrs. Edwy Arthur (Ada Mary Worth) female 33.0000 1 2 C.A. 34651 27.7500 NA S 10 NA Bournmouth, England
2 0 Wheadon, Mr. Edward H male 66.0000 0 0 C.A. 24579 10.5000 NA S NA NA Guernsey, England / Edgewood, RI
2 0 Wheeler, Mr. Edwin “Frederick” male NA 0 0 SC/PARIS 2159 12.8750 NA S NA NA NA
2 1 Wilhelms, Mr. Charles male 31.0000 0 0 244270 13.0000 NA S 9 NA London, England
2 1 Williams, Mr. Charles Eugene male NA 0 0 244373 13.0000 NA S 14 NA Harrow, England
2 1 Wright, Miss. Marion female 26.0000 0 0 220844 13.5000 NA S 9 NA Yoevil, England / Cottage Grove, OR
2 0 Yrois, Miss. Henriette (“Mrs Harbeck”) female 24.0000 0 0 248747 13.0000 NA S NA NA Paris
3 0 Abbing, Mr. Anthony male 42.0000 0 0 C.A. 5547 7.5500 NA S NA NA NA
3 0 Abbott, Master. Eugene Joseph male 13.0000 0 2 C.A. 2673 20.2500 NA S NA NA East Providence, RI
3 0 Abbott, Mr. Rossmore Edward male 16.0000 1 1 C.A. 2673 20.2500 NA S NA 190 East Providence, RI
3 1 Abbott, Mrs. Stanton (Rosa Hunt) female 35.0000 1 1 C.A. 2673 20.2500 NA S A NA East Providence, RI
3 1 Abelseth, Miss. Karen Marie female 16.0000 0 0 348125 7.6500 NA S 16 NA Norway Los Angeles, CA
3 1 Abelseth, Mr. Olaus Jorgensen male 25.0000 0 0 348122 7.6500 F G63 S A NA Perkins County, SD
3 1 Abrahamsson, Mr. Abraham August Johannes male 20.0000 0 0 SOTON/O2 3101284 7.9250 NA S 15 NA Taalintehdas, Finland Hoboken, NJ
3 1 Abrahim, Mrs. Joseph (Sophie Halaut Easu) female 18.0000 0 0 2657 7.2292 NA C C NA Greensburg, PA
3 0 Adahl, Mr. Mauritz Nils Martin male 30.0000 0 0 C 7076 7.2500 NA S NA 72 Asarum, Sweden Brooklyn, NY
3 0 Adams, Mr. John male 26.0000 0 0 341826 8.0500 NA S NA 103 Bournemouth, England
3 0 Ahlin, Mrs. Johan (Johanna Persdotter Larsson) female 40.0000 1 0 7546 9.4750 NA S NA NA Sweden Akeley, MN
3 1 Aks, Master. Philip Frank male 0.8333 0 1 392091 9.3500 NA S 11 NA London, England Norfolk, VA
3 1 Aks, Mrs. Sam (Leah Rosen) female 18.0000 0 1 392091 9.3500 NA S 13 NA London, England Norfolk, VA
3 1 Albimona, Mr. Nassef Cassem male 26.0000 0 0 2699 18.7875 NA C 15 NA Syria Fredericksburg, VA
3 0 Alexander, Mr. William male 26.0000 0 0 3474 7.8875 NA S NA NA England Albion, NY
3 0 Alhomaki, Mr. Ilmari Rudolf male 20.0000 0 0 SOTON/O2 3101287 7.9250 NA S NA NA Salo, Finland Astoria, OR
3 0 Ali, Mr. Ahmed male 24.0000 0 0 SOTON/O.Q. 3101311 7.0500 NA S NA NA NA
3 0 Ali, Mr. William male 25.0000 0 0 SOTON/O.Q. 3101312 7.0500 NA S NA 79 Argentina
3 0 Allen, Mr. William Henry male 35.0000 0 0 373450 8.0500 NA S NA NA Lower Clapton, Middlesex or Erdington, Birmingham
3 0 Allum, Mr. Owen George male 18.0000 0 0 2223 8.3000 NA S NA 259 Windsor, England New York, NY
3 0 Andersen, Mr. Albert Karvin male 32.0000 0 0 C 4001 22.5250 NA S NA 260 Bergen, Norway
3 1 Andersen-Jensen, Miss. Carla Christine Nielsine female 19.0000 1 0 350046 7.8542 NA S 16 NA NA
3 0 Andersson, Master. Sigvard Harald Elias male 4.0000 4 2 347082 31.2750 NA S NA NA Sweden Winnipeg, MN
3 0 Andersson, Miss. Ebba Iris Alfrida female 6.0000 4 2 347082 31.2750 NA S NA NA Sweden Winnipeg, MN
3 0 Andersson, Miss. Ellis Anna Maria female 2.0000 4 2 347082 31.2750 NA S NA NA Sweden Winnipeg, MN
3 1 Andersson, Miss. Erna Alexandra female 17.0000 4 2 3101281 7.9250 NA S D NA Ruotsinphyhtaa, Finland New York, NY
3 0 Andersson, Miss. Ida Augusta Margareta female 38.0000 4 2 347091 7.7750 NA S NA NA Vadsbro, Sweden Ministee, MI
3 0 Andersson, Miss. Ingeborg Constanzia female 9.0000 4 2 347082 31.2750 NA S NA NA Sweden Winnipeg, MN
3 0 Andersson, Miss. Sigrid Elisabeth female 11.0000 4 2 347082 31.2750 NA S NA NA Sweden Winnipeg, MN
3 0 Andersson, Mr. Anders Johan male 39.0000 1 5 347082 31.2750 NA S NA NA Sweden Winnipeg, MN
3 1 Andersson, Mr. August Edvard (“Wennerstrom”) male 27.0000 0 0 350043 7.7958 NA S A NA NA
3 0 Andersson, Mr. Johan Samuel male 26.0000 0 0 347075 7.7750 NA S NA NA Hartford, CT
3 0 Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren) female 39.0000 1 5 347082 31.2750 NA S NA NA Sweden Winnipeg, MN
3 0 Andreasson, Mr. Paul Edvin male 20.0000 0 0 347466 7.8542 NA S NA NA Sweden Chicago, IL
3 0 Angheloff, Mr. Minko male 26.0000 0 0 349202 7.8958 NA S NA NA Bulgaria Chicago, IL
3 0 Arnold-Franchi, Mr. Josef male 25.0000 1 0 349237 17.8000 NA S NA NA Altdorf, Switzerland
3 0 Arnold-Franchi, Mrs. Josef (Josefine Franchi) female 18.0000 1 0 349237 17.8000 NA S NA NA Altdorf, Switzerland
3 0 Aronsson, Mr. Ernst Axel Algot male 24.0000 0 0 349911 7.7750 NA S NA NA Sweden Joliet, IL
3 0 Asim, Mr. Adola male 35.0000 0 0 SOTON/O.Q. 3101310 7.0500 NA S NA NA NA
3 0 Asplund, Master. Carl Edgar male 5.0000 4 2 347077 31.3875 NA S NA NA Sweden Worcester, MA
3 0 Asplund, Master. Clarence Gustaf Hugo male 9.0000 4 2 347077 31.3875 NA S NA NA Sweden Worcester, MA
3 1 Asplund, Master. Edvin Rojj Felix male 3.0000 4 2 347077 31.3875 NA S 15 NA Sweden Worcester, MA
3 0 Asplund, Master. Filip Oscar male 13.0000 4 2 347077 31.3875 NA S NA NA Sweden Worcester, MA
3 1 Asplund, Miss. Lillian Gertrud female 5.0000 4 2 347077 31.3875 NA S 15 NA Sweden Worcester, MA
3 0 Asplund, Mr. Carl Oscar Vilhelm Gustafsson male 40.0000 1 5 347077 31.3875 NA S NA 142 Sweden Worcester, MA
3 1 Asplund, Mr. Johan Charles male 23.0000 0 0 350054 7.7958 NA S 13 NA Oskarshamn, Sweden Minneapolis, MN
3 1 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson) female 38.0000 1 5 347077 31.3875 NA S 15 NA Sweden Worcester, MA
3 1 Assaf Khalil, Mrs. Mariana (“Miriam”) female 45.0000 0 0 2696 7.2250 NA C C NA Ottawa, ON
3 0 Assaf, Mr. Gerios male 21.0000 0 0 2692 7.2250 NA C NA NA Ottawa, ON
3 0 Assam, Mr. Ali male 23.0000 0 0 SOTON/O.Q. 3101309 7.0500 NA S NA NA NA
3 0 Attalah, Miss. Malake female 17.0000 0 0 2627 14.4583 NA C NA NA NA
3 0 Attalah, Mr. Sleiman male 30.0000 0 0 2694 7.2250 NA C NA NA Ottawa, ON
3 0 Augustsson, Mr. Albert male 23.0000 0 0 347468 7.8542 NA S NA NA Krakoryd, Sweden Bloomington, IL
3 1 Ayoub, Miss. Banoura female 13.0000 0 0 2687 7.2292 NA C C NA Syria Youngstown, OH
3 0 Baccos, Mr. Raffull male 20.0000 0 0 2679 7.2250 NA C NA NA NA
3 0 Backstrom, Mr. Karl Alfred male 32.0000 1 0 3101278 15.8500 NA S D NA Ruotsinphytaa, Finland New York, NY
3 1 Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson) female 33.0000 3 0 3101278 15.8500 NA S NA NA Ruotsinphytaa, Finland New York, NY
3 1 Baclini, Miss. Eugenie female 0.7500 2 1 2666 19.2583 NA C C NA Syria New York, NY
3 1 Baclini, Miss. Helene Barbara female 0.7500 2 1 2666 19.2583 NA C C NA Syria New York, NY
3 1 Baclini, Miss. Marie Catherine female 5.0000 2 1 2666 19.2583 NA C C NA Syria New York, NY
3 1 Baclini, Mrs. Solomon (Latifa Qurban) female 24.0000 0 3 2666 19.2583 NA C C NA Syria New York, NY
3 1 Badman, Miss. Emily Louisa female 18.0000 0 0 A/4 31416 8.0500 NA S C NA London Skanteales, NY
3 0 Badt, Mr. Mohamed male 40.0000 0 0 2623 7.2250 NA C NA NA NA
3 0 Balkic, Mr. Cerin male 26.0000 0 0 349248 7.8958 NA S NA NA NA
3 1 Barah, Mr. Hanna Assi male 20.0000 0 0 2663 7.2292 NA C 15 NA NA
3 0 Barbara, Miss. Saiide female 18.0000 0 1 2691 14.4542 NA C NA NA Syria Ottawa, ON
3 0 Barbara, Mrs. (Catherine David) female 45.0000 0 1 2691 14.4542 NA C NA NA Syria Ottawa, ON
3 0 Barry, Miss. Julia female 27.0000 0 0 330844 7.8792 NA Q NA NA New York, NY
3 0 Barton, Mr. David John male 22.0000 0 0 324669 8.0500 NA S NA NA England New York, NY
3 0 Beavan, Mr. William Thomas male 19.0000 0 0 323951 8.0500 NA S NA NA England
3 0 Bengtsson, Mr. John Viktor male 26.0000 0 0 347068 7.7750 NA S NA NA Krakudden, Sweden Moune, IL
3 0 Berglund, Mr. Karl Ivar Sven male 22.0000 0 0 PP 4348 9.3500 NA S NA NA Tranvik, Finland New York
3 0 Betros, Master. Seman male NA 0 0 2622 7.2292 NA C NA NA NA
3 0 Betros, Mr. Tannous male 20.0000 0 0 2648 4.0125 NA C NA NA Syria
3 1 Bing, Mr. Lee male 32.0000 0 0 1601 56.4958 NA S C NA Hong Kong New York, NY
3 0 Birkeland, Mr. Hans Martin Monsen male 21.0000 0 0 312992 7.7750 NA S NA NA Brennes, Norway New York
3 0 Bjorklund, Mr. Ernst Herbert male 18.0000 0 0 347090 7.7500 NA S NA NA Stockholm, Sweden New York
3 0 Bostandyeff, Mr. Guentcho male 26.0000 0 0 349224 7.8958 NA S NA NA Bulgaria Chicago, IL
3 0 Boulos, Master. Akar male 6.0000 1 1 2678 15.2458 NA C NA NA Syria Kent, ON
3 0 Boulos, Miss. Nourelain female 9.0000 1 1 2678 15.2458 NA C NA NA Syria Kent, ON
3 0 Boulos, Mr. Hanna male NA 0 0 2664 7.2250 NA C NA NA Syria
3 0 Boulos, Mrs. Joseph (Sultana) female NA 0 2 2678 15.2458 NA C NA NA Syria Kent, ON
3 0 Bourke, Miss. Mary female NA 0 2 364848 7.7500 NA Q NA NA Ireland Chicago, IL
3 0 Bourke, Mr. John male 40.0000 1 1 364849 15.5000 NA Q NA NA Ireland Chicago, IL
3 0 Bourke, Mrs. John (Catherine) female 32.0000 1 1 364849 15.5000 NA Q NA NA Ireland Chicago, IL
3 0 Bowen, Mr. David John “Dai” male 21.0000 0 0 54636 16.1000 NA S NA NA Treherbert, Cardiff, Wales
3 1 Bradley, Miss. Bridget Delia female 22.0000 0 0 334914 7.7250 NA Q 13 NA Kingwilliamstown, Co Cork, Ireland Glens Falls, NY
3 0 Braf, Miss. Elin Ester Maria female 20.0000 0 0 347471 7.8542 NA S NA NA Medeltorp, Sweden Chicago, IL
3 0 Braund, Mr. Lewis Richard male 29.0000 1 0 3460 7.0458 NA S NA NA Bridgerule, Devon
3 0 Braund, Mr. Owen Harris male 22.0000 1 0 A/5 21171 7.2500 NA S NA NA Bridgerule, Devon
3 0 Brobeck, Mr. Karl Rudolf male 22.0000 0 0 350045 7.7958 NA S NA NA Sweden Worcester, MA
3 0 Brocklebank, Mr. William Alfred male 35.0000 0 0 364512 8.0500 NA S NA NA Broomfield, Chelmsford, England
3 0 Buckley, Miss. Katherine female 18.5000 0 0 329944 7.2833 NA Q NA 299 Co Cork, Ireland Roxbury, MA
3 1 Buckley, Mr. Daniel male 21.0000 0 0 330920 7.8208 NA Q 13 NA Kingwilliamstown, Co Cork, Ireland New York, NY
3 0 Burke, Mr. Jeremiah male 19.0000 0 0 365222 6.7500 NA Q NA NA Co Cork, Ireland Charlestown, MA
3 0 Burns, Miss. Mary Delia female 18.0000 0 0 330963 7.8792 NA Q NA NA Co Sligo, Ireland New York, NY
3 0 Cacic, Miss. Manda female 21.0000 0 0 315087 8.6625 NA S NA NA NA
3 0 Cacic, Miss. Marija female 30.0000 0 0 315084 8.6625 NA S NA NA NA
3 0 Cacic, Mr. Jego Grga male 18.0000 0 0 315091 8.6625 NA S NA NA NA
3 0 Cacic, Mr. Luka male 38.0000 0 0 315089 8.6625 NA S NA NA Croatia
3 0 Calic, Mr. Jovo male 17.0000 0 0 315093 8.6625 NA S NA NA NA
3 0 Calic, Mr. Petar male 17.0000 0 0 315086 8.6625 NA S NA NA NA
3 0 Canavan, Miss. Mary female 21.0000 0 0 364846 7.7500 NA Q NA NA NA
3 0 Canavan, Mr. Patrick male 21.0000 0 0 364858 7.7500 NA Q NA NA Ireland Philadelphia, PA
3 0 Cann, Mr. Ernest Charles male 21.0000 0 0 A./5. 2152 8.0500 NA S NA NA NA
3 0 Caram, Mr. Joseph male NA 1 0 2689 14.4583 NA C NA NA Ottawa, ON
3 0 Caram, Mrs. Joseph (Maria Elias) female NA 1 0 2689 14.4583 NA C NA NA Ottawa, ON
3 0 Carlsson, Mr. August Sigfrid male 28.0000 0 0 350042 7.7958 NA S NA NA Dagsas, Sweden Fower, MN
3 0 Carlsson, Mr. Carl Robert male 24.0000 0 0 350409 7.8542 NA S NA NA Goteborg, Sweden Huntley, IL
3 1 Carr, Miss. Helen “Ellen” female 16.0000 0 0 367231 7.7500 NA Q 16 NA Co Longford, Ireland New York, NY
3 0 Carr, Miss. Jeannie female 37.0000 0 0 368364 7.7500 NA Q NA NA Co Sligo, Ireland Hartford, CT
3 0 Carver, Mr. Alfred John male 28.0000 0 0 392095 7.2500 NA S NA NA St Denys, Southampton, Hants
3 0 Celotti, Mr. Francesco male 24.0000 0 0 343275 8.0500 NA S NA NA London
3 0 Charters, Mr. David male 21.0000 0 0 A/5. 13032 7.7333 NA Q NA NA Ireland New York, NY
3 1 Chip, Mr. Chang male 32.0000 0 0 1601 56.4958 NA S C NA Hong Kong New York, NY
3 0 Christmann, Mr. Emil male 29.0000 0 0 343276 8.0500 NA S NA NA NA
3 0 Chronopoulos, Mr. Apostolos male 26.0000 1 0 2680 14.4542 NA C NA NA Greece
3 0 Chronopoulos, Mr. Demetrios male 18.0000 1 0 2680 14.4542 NA C NA NA Greece
3 0 Coelho, Mr. Domingos Fernandeo male 20.0000 0 0 SOTON/O.Q. 3101307 7.0500 NA S NA NA Portugal
3 1 Cohen, Mr. Gurshon “Gus” male 18.0000 0 0 A/5 3540 8.0500 NA S 12 NA London Brooklyn, NY
3 0 Colbert, Mr. Patrick male 24.0000 0 0 371109 7.2500 NA Q NA NA Co Limerick, Ireland Sherbrooke, PQ
3 0 Coleff, Mr. Peju male 36.0000 0 0 349210 7.4958 NA S NA NA Bulgaria Chicago, IL
3 0 Coleff, Mr. Satio male 24.0000 0 0 349209 7.4958 NA S NA NA NA
3 0 Conlon, Mr. Thomas Henry male 31.0000 0 0 21332 7.7333 NA Q NA NA Philadelphia, PA
3 0 Connaghton, Mr. Michael male 31.0000 0 0 335097 7.7500 NA Q NA NA Ireland Brooklyn, NY
3 1 Connolly, Miss. Kate female 22.0000 0 0 370373 7.7500 NA Q 13 NA Ireland
3 0 Connolly, Miss. Kate female 30.0000 0 0 330972 7.6292 NA Q NA NA Ireland
3 0 Connors, Mr. Patrick male 70.5000 0 0 370369 7.7500 NA Q NA 171 NA
3 0 Cook, Mr. Jacob male 43.0000 0 0 A/5 3536 8.0500 NA S NA NA NA
3 0 Cor, Mr. Bartol male 35.0000 0 0 349230 7.8958 NA S NA NA Austria
3 0 Cor, Mr. Ivan male 27.0000 0 0 349229 7.8958 NA S NA NA Austria
3 0 Cor, Mr. Liudevit male 19.0000 0 0 349231 7.8958 NA S NA NA Austria
3 0 Corn, Mr. Harry male 30.0000 0 0 SOTON/OQ 392090 8.0500 NA S NA NA London
3 1 Coutts, Master. Eden Leslie “Neville” male 9.0000 1 1 C.A. 37671 15.9000 NA S 2 NA England Brooklyn, NY
3 1 Coutts, Master. William Loch “William” male 3.0000 1 1 C.A. 37671 15.9000 NA S 2 NA England Brooklyn, NY
3 1 Coutts, Mrs. William (Winnie “Minnie” Treanor) female 36.0000 0 2 C.A. 37671 15.9000 NA S 2 NA England Brooklyn, NY
3 0 Coxon, Mr. Daniel male 59.0000 0 0 364500 7.2500 NA S NA NA Merrill, WI
3 0 Crease, Mr. Ernest James male 19.0000 0 0 S.P. 3464 8.1583 NA S NA NA Bristol, England Cleveland, OH
3 1 Cribb, Miss. Laura Alice female 17.0000 0 1 371362 16.1000 NA S 12 NA Bournemouth, England Newark, NJ
3 0 Cribb, Mr. John Hatfield male 44.0000 0 1 371362 16.1000 NA S NA NA Bournemouth, England Newark, NJ
3 0 Culumovic, Mr. Jeso male 17.0000 0 0 315090 8.6625 NA S NA NA Austria-Hungary
3 0 Daher, Mr. Shedid male 22.5000 0 0 2698 7.2250 NA C NA 9 NA
3 1 Dahl, Mr. Karl Edwart male 45.0000 0 0 7598 8.0500 NA S 15 NA Australia Fingal, ND
3 0 Dahlberg, Miss. Gerda Ulrika female 22.0000 0 0 7552 10.5167 NA S NA NA Norrlot, Sweden Chicago, IL
3 0 Dakic, Mr. Branko male 19.0000 0 0 349228 10.1708 NA S NA NA Austria
3 1 Daly, Miss. Margaret Marcella “Maggie” female 30.0000 0 0 382650 6.9500 NA Q 15 NA Co Athlone, Ireland New York, NY
3 1 Daly, Mr. Eugene Patrick male 29.0000 0 0 382651 7.7500 NA Q 13 15 B NA Co Athlone, Ireland New York, NY
3 0 Danbom, Master. Gilbert Sigvard Emanuel male 0.3333 0 2 347080 14.4000 NA S NA NA Stanton, IA
3 0 Danbom, Mr. Ernst Gilbert male 34.0000 1 1 347080 14.4000 NA S NA 197 Stanton, IA
3 0 Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren) female 28.0000 1 1 347080 14.4000 NA S NA NA Stanton, IA
3 0 Danoff, Mr. Yoto male 27.0000 0 0 349219 7.8958 NA S NA NA Bulgaria Chicago, IL
3 0 Dantcheff, Mr. Ristiu male 25.0000 0 0 349203 7.8958 NA S NA NA Bulgaria Chicago, IL
3 0 Davies, Mr. Alfred J male 24.0000 2 0 A/4 48871 24.1500 NA S NA NA West Bromwich, England Pontiac, MI
3 0 Davies, Mr. Evan male 22.0000 0 0 SC/A4 23568 8.0500 NA S NA NA NA
3 0 Davies, Mr. John Samuel male 21.0000 2 0 A/4 48871 24.1500 NA S NA NA West Bromwich, England Pontiac, MI
3 0 Davies, Mr. Joseph male 17.0000 2 0 A/4 48873 8.0500 NA S NA NA West Bromwich, England Pontiac, MI
3 0 Davison, Mr. Thomas Henry male NA 1 0 386525 16.1000 NA S NA NA Liverpool, England Bedford, OH
3 1 Davison, Mrs. Thomas Henry (Mary E Finck) female NA 1 0 386525 16.1000 NA S 16 NA Liverpool, England Bedford, OH
3 1 de Messemaeker, Mr. Guillaume Joseph male 36.5000 1 0 345572 17.4000 NA S 15 NA Tampico, MT
3 1 de Messemaeker, Mrs. Guillaume Joseph (Emma) female 36.0000 1 0 345572 17.4000 NA S 13 NA Tampico, MT
3 1 de Mulder, Mr. Theodore male 30.0000 0 0 345774 9.5000 NA S 11 NA Belgium Detroit, MI
3 0 de Pelsmaeker, Mr. Alfons male 16.0000 0 0 345778 9.5000 NA S NA NA NA
3 1 Dean, Master. Bertram Vere male 1.0000 1 2 C.A. 2315 20.5750 NA S 10 NA Devon, England Wichita, KS
3 1 Dean, Miss. Elizabeth Gladys “Millvina” female 0.1667 1 2 C.A. 2315 20.5750 NA S 10 NA Devon, England Wichita, KS
3 0 Dean, Mr. Bertram Frank male 26.0000 1 2 C.A. 2315 20.5750 NA S NA NA Devon, England Wichita, KS
3 1 Dean, Mrs. Bertram (Eva Georgetta Light) female 33.0000 1 2 C.A. 2315 20.5750 NA S 10 NA Devon, England Wichita, KS
3 0 Delalic, Mr. Redjo male 25.0000 0 0 349250 7.8958 NA S NA NA NA
3 0 Demetri, Mr. Marinko male NA 0 0 349238 7.8958 NA S NA NA NA
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3 0 Dennis, Mr. Samuel male 22.0000 0 0 A/5 21172 7.2500 NA S NA NA NA
3 0 Dennis, Mr. William male 36.0000 0 0 A/5 21175 7.2500 NA S NA NA NA
3 1 Devaney, Miss. Margaret Delia female 19.0000 0 0 330958 7.8792 NA Q C NA Kilmacowen, Co Sligo, Ireland New York, NY
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3 0 Dimic, Mr. Jovan male 42.0000 0 0 315088 8.6625 NA S NA NA NA
3 0 Dintcheff, Mr. Valtcho male 43.0000 0 0 349226 7.8958 NA S NA NA NA
3 0 Doharr, Mr. Tannous male NA 0 0 2686 7.2292 NA C NA NA NA
3 0 Dooley, Mr. Patrick male 32.0000 0 0 370376 7.7500 NA Q NA NA Ireland New York, NY
3 1 Dorking, Mr. Edward Arthur male 19.0000 0 0 A/5. 10482 8.0500 NA S B NA England Oglesby, IL
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3 0 Doyle, Miss. Elizabeth female 24.0000 0 0 368702 7.7500 NA Q NA NA Ireland New York, NY
3 1 Drapkin, Miss. Jennie female 23.0000 0 0 SOTON/OQ 392083 8.0500 NA S NA NA London New York, NY
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3 1 Duquemin, Mr. Joseph male 24.0000 0 0 S.O./P.P. 752 7.5500 NA S D NA England Albion, NY
3 0 Dyker, Mr. Adolf Fredrik male 23.0000 1 0 347072 13.9000 NA S NA NA West Haven, CT
3 1 Dyker, Mrs. Adolf Fredrik (Anna Elisabeth Judith Andersson) female 22.0000 1 0 347072 13.9000 NA S 16 NA West Haven, CT
3 0 Edvardsson, Mr. Gustaf Hjalmar male 18.0000 0 0 349912 7.7750 NA S NA NA Tofta, Sweden Joliet, IL
3 0 Eklund, Mr. Hans Linus male 16.0000 0 0 347074 7.7750 NA S NA NA Karberg, Sweden Jerome Junction, AZ
3 0 Ekstrom, Mr. Johan male 45.0000 0 0 347061 6.9750 NA S NA NA Effington Rut, SD
3 0 Elias, Mr. Dibo male NA 0 0 2674 7.2250 NA C NA NA NA
3 0 Elias, Mr. Joseph male 39.0000 0 2 2675 7.2292 NA C NA NA Syria Ottawa, ON
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3 0 Elias, Mr. Tannous male 15.0000 1 1 2695 7.2292 NA C NA NA Syria
3 0 Elsbury, Mr. William James male 47.0000 0 0 A/5 3902 7.2500 NA S NA NA Illinois, USA
3 1 Emanuel, Miss. Virginia Ethel female 5.0000 0 0 364516 12.4750 NA S 13 NA New York, NY
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3 0 Farrell, Mr. James male 40.5000 0 0 367232 7.7500 NA Q NA 68 Aughnacliff, Co Longford, Ireland New York, NY
3 1 Finoli, Mr. Luigi male NA 0 0 SOTON/O.Q. 3101308 7.0500 NA S 15 NA Italy Philadelphia, PA
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3 1 Foo, Mr. Choong male NA 0 0 1601 56.4958 NA S 13 NA Hong Kong New York, NY
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3 0 Ford, Mr. Arthur male NA 0 0 A/5 1478 8.0500 NA S NA NA Bridgwater, Somerset, England
3 0 Ford, Mr. Edward Watson male 18.0000 2 2 W./C. 6608 34.3750 NA S NA NA Rotherfield, Sussex, England Essex Co, MA
3 0 Ford, Mr. William Neal male 16.0000 1 3 W./C. 6608 34.3750 NA S NA NA Rotherfield, Sussex, England Essex Co, MA
3 0 Ford, Mrs. Edward (Margaret Ann Watson) female 48.0000 1 3 W./C. 6608 34.3750 NA S NA NA Rotherfield, Sussex, England Essex Co, MA
3 0 Fox, Mr. Patrick male NA 0 0 368573 7.7500 NA Q NA NA Ireland New York, NY
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3 0 Goldsmith, Mr. Frank John male 33.0000 1 1 363291 20.5250 NA S NA NA Strood, Kent, England Detroit, MI
3 0 Goldsmith, Mr. Nathan male 41.0000 0 0 SOTON/O.Q. 3101263 7.8500 NA S NA NA Philadelphia, PA
3 1 Goldsmith, Mrs. Frank John (Emily Alice Brown) female 31.0000 1 1 363291 20.5250 NA S C D NA Strood, Kent, England Detroit, MI
3 0 Goncalves, Mr. Manuel Estanslas male 38.0000 0 0 SOTON/O.Q. 3101306 7.0500 NA S NA NA Portugal
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3 0 Goodwin, Master. William Frederick male 11.0000 5 2 CA 2144 46.9000 NA S NA NA Wiltshire, England Niagara Falls, NY
3 0 Goodwin, Miss. Jessie Allis female 10.0000 5 2 CA 2144 46.9000 NA S NA NA Wiltshire, England Niagara Falls, NY
3 0 Goodwin, Miss. Lillian Amy female 16.0000 5 2 CA 2144 46.9000 NA S NA NA Wiltshire, England Niagara Falls, NY
3 0 Goodwin, Mr. Charles Edward male 14.0000 5 2 CA 2144 46.9000 NA S NA NA Wiltshire, England Niagara Falls, NY
3 0 Goodwin, Mr. Charles Frederick male 40.0000 1 6 CA 2144 46.9000 NA S NA NA Wiltshire, England Niagara Falls, NY
3 0 Goodwin, Mrs. Frederick (Augusta Tyler) female 43.0000 1 6 CA 2144 46.9000 NA S NA NA Wiltshire, England Niagara Falls, NY
3 0 Green, Mr. George Henry male 51.0000 0 0 21440 8.0500 NA S NA NA Dorking, Surrey, England
3 0 Gronnestad, Mr. Daniel Danielsen male 32.0000 0 0 8471 8.3625 NA S NA NA Foresvik, Norway Portland, ND
3 0 Guest, Mr. Robert male NA 0 0 376563 8.0500 NA S NA NA NA
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3 0 Gustafsson, Mr. Anders Vilhelm male 37.0000 2 0 3101276 7.9250 NA S NA 98 Ruotsinphytaa, Finland New York, NY
3 0 Gustafsson, Mr. Johan Birger male 28.0000 2 0 3101277 7.9250 NA S NA NA Ruotsinphytaa, Finland New York, NY
3 0 Gustafsson, Mr. Karl Gideon male 19.0000 0 0 347069 7.7750 NA S NA NA Myren, Sweden New York, NY
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3 0 Vendel, Mr. Olof Edvin male 20.0000 0 0 350416 7.8542 NA S NA NA NA
3 0 Vestrom, Miss. Hulda Amanda Adolfina female 14.0000 0 0 350406 7.8542 NA S NA NA NA
3 0 Vovk, Mr. Janko male 22.0000 0 0 349252 7.8958 NA S NA NA NA
3 0 Waelens, Mr. Achille male 22.0000 0 0 345767 9.0000 NA S NA NA Antwerp, Belgium / Stanton, OH
3 0 Ware, Mr. Frederick male NA 0 0 359309 8.0500 NA S NA NA NA
3 0 Warren, Mr. Charles William male NA 0 0 C.A. 49867 7.5500 NA S NA NA NA
3 0 Webber, Mr. James male NA 0 0 SOTON/OQ 3101316 8.0500 NA S NA NA NA
3 0 Wenzel, Mr. Linhart male 32.5000 0 0 345775 9.5000 NA S NA 298 NA
3 1 Whabee, Mrs. George Joseph (Shawneene Abi-Saab) female 38.0000 0 0 2688 7.2292 NA C C NA NA
3 0 Widegren, Mr. Carl/Charles Peter male 51.0000 0 0 347064 7.7500 NA S NA NA NA
3 0 Wiklund, Mr. Jakob Alfred male 18.0000 1 0 3101267 6.4958 NA S NA 314 NA
3 0 Wiklund, Mr. Karl Johan male 21.0000 1 0 3101266 6.4958 NA S NA NA NA
3 1 Wilkes, Mrs. James (Ellen Needs) female 47.0000 1 0 363272 7.0000 NA S NA NA NA
3 0 Willer, Mr. Aaron (“Abi Weller”) male NA 0 0 3410 8.7125 NA S NA NA NA
3 0 Willey, Mr. Edward male NA 0 0 S.O./P.P. 751 7.5500 NA S NA NA NA
3 0 Williams, Mr. Howard Hugh “Harry” male NA 0 0 A/5 2466 8.0500 NA S NA NA NA
3 0 Williams, Mr. Leslie male 28.5000 0 0 54636 16.1000 NA S NA 14 NA
3 0 Windelov, Mr. Einar male 21.0000 0 0 SOTON/OQ 3101317 7.2500 NA S NA NA NA
3 0 Wirz, Mr. Albert male 27.0000 0 0 315154 8.6625 NA S NA 131 NA
3 0 Wiseman, Mr. Phillippe male NA 0 0 A/4. 34244 7.2500 NA S NA NA NA
3 0 Wittevrongel, Mr. Camille male 36.0000 0 0 345771 9.5000 NA S NA NA NA
3 0 Yasbeck, Mr. Antoni male 27.0000 1 0 2659 14.4542 NA C C NA NA
3 1 Yasbeck, Mrs. Antoni (Selini Alexander) female 15.0000 1 0 2659 14.4542 NA C NA NA NA
3 0 Youseff, Mr. Gerious male 45.5000 0 0 2628 7.2250 NA C NA 312 NA
3 0 Yousif, Mr. Wazli male NA 0 0 2647 7.2250 NA C NA NA NA
3 0 Yousseff, Mr. Gerious male NA 0 0 2627 14.4583 NA C NA NA NA
3 0 Zabour, Miss. Hileni female 14.5000 1 0 2665 14.4542 NA C NA 328 NA
3 0 Zabour, Miss. Thamine female NA 1 0 2665 14.4542 NA C NA NA NA
3 0 Zakarian, Mr. Mapriededer male 26.5000 0 0 2656 7.2250 NA C NA 304 NA
3 0 Zakarian, Mr. Ortin male 27.0000 0 0 2670 7.2250 NA C NA NA NA
3 0 Zimmerman, Mr. Leo male 29.0000 0 0 315082 7.8750 NA S NA NA NA
NA NA NA NA NA NA NA NA NA NA NA NA NA NA
# d được gán với 12 cột tương đương 12 biến và 1310 hàng tương đương 1310 quan sát 

Thông tin tổng quan

Kiểm tra xem dữ liệu có phải là data frame hay không bằng hàm ‘is.data.frame’

is.data.frame(d)
## [1] TRUE
# Trả về TRUE chứng tỏ d là data frame, FALSE thì ngược lại

RStudio trả về giá trị TRUE, vì vậy đối tượng dữ liệu là data frame

Sử dụng hàm ‘names’ để biết tên của các biến trong dữ liệu

names(d)
##  [1] "pclass"    "survived"  "name"      "sex"       "age"       "sibsp"    
##  [7] "parch"     "ticket"    "fare"      "cabin"     "embarked"  "boat"     
## [13] "body"      "home.dest"

Kiểm tra kích thước của data frame gồm bao nhiêu hàng và cột bằng cách sử dụng hàm ‘dim’

dim(d)
## [1] 1310   14

Hiển thị cấu trúc của d bằng lệnh ‘str’

str(d)
## 'data.frame':    1310 obs. of  14 variables:
##  $ pclass   : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ survived : num  1 1 0 0 0 1 1 0 1 0 ...
##  $ name     : chr  "Allen, Miss. Elisabeth Walton" "Allison, Master. Hudson Trevor" "Allison, Miss. Helen Loraine" "Allison, Mr. Hudson Joshua Creighton" ...
##  $ sex      : chr  "female" "male" "female" "male" ...
##  $ age      : num  29 0.917 2 30 25 ...
##  $ sibsp    : num  0 1 1 1 1 0 1 0 2 0 ...
##  $ parch    : num  0 2 2 2 2 0 0 0 0 0 ...
##  $ ticket   : chr  "24160" "113781" "113781" "113781" ...
##  $ fare     : num  211 152 152 152 152 ...
##  $ cabin    : chr  "B5" "C22 C26" "C22 C26" "C22 C26" ...
##  $ embarked : chr  "S" "S" "S" "S" ...
##  $ boat     : chr  "2" "11" NA NA ...
##  $ body     : chr  NA NA NA "135" ...
##  $ home.dest: chr  "St Louis, MO" "Montreal, PQ / Chesterville, ON" "Montreal, PQ / Chesterville, ON" "Montreal, PQ / Chesterville, ON" ...

Kiểm tra d có chứa ô nào có chứa các giá trị còn thiếu bằng hàm ‘is.na’

is.na(d) #TRUE là ô thiếu giá trị, FALSE là các ô chứa giá trị
##         pclass survived  name   sex   age sibsp parch ticket  fare cabin
##    [1,]  FALSE    FALSE FALSE FALSE FALSE FALSE FALSE  FALSE FALSE FALSE
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##    [3,]  FALSE    FALSE FALSE FALSE FALSE FALSE FALSE  FALSE FALSE FALSE
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## [1024,]  FALSE    FALSE FALSE FALSE  TRUE FALSE FALSE  FALSE FALSE  TRUE
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## [1310,]   TRUE     TRUE  TRUE  TRUE  TRUE  TRUE  TRUE   TRUE  TRUE  TRUE
##         embarked  boat  body home.dest
##    [1,]    FALSE FALSE  TRUE     FALSE
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##  [642,]    FALSE FALSE  TRUE     FALSE
##  [643,]    FALSE  TRUE  TRUE     FALSE
##  [644,]    FALSE FALSE  TRUE     FALSE
##  [645,]    FALSE  TRUE FALSE     FALSE
##  [646,]    FALSE FALSE  TRUE     FALSE
##  [647,]    FALSE FALSE  TRUE     FALSE
##  [648,]    FALSE FALSE  TRUE     FALSE
##  [649,]    FALSE  TRUE  TRUE     FALSE
##  [650,]    FALSE  TRUE  TRUE      TRUE
##  [651,]    FALSE  TRUE  TRUE      TRUE
##  [652,]    FALSE  TRUE  TRUE     FALSE
##  [653,]    FALSE  TRUE  TRUE     FALSE
##  [654,]    FALSE FALSE  TRUE     FALSE
##  [655,]    FALSE  TRUE  TRUE      TRUE
##  [656,]    FALSE FALSE  TRUE     FALSE
##  [657,]    FALSE  TRUE  TRUE     FALSE
##  [658,]    FALSE FALSE  TRUE     FALSE
##  [659,]    FALSE FALSE  TRUE     FALSE
##  [660,]    FALSE FALSE  TRUE     FALSE
##  [661,]    FALSE FALSE  TRUE     FALSE
##  [662,]    FALSE FALSE  TRUE     FALSE
##  [663,]    FALSE  TRUE  TRUE      TRUE
##  [664,]    FALSE  TRUE  TRUE      TRUE
##  [665,]    FALSE FALSE  TRUE      TRUE
##  [666,]    FALSE  TRUE  TRUE     FALSE
##  [667,]    FALSE  TRUE  TRUE     FALSE
##  [668,]    FALSE  TRUE  TRUE     FALSE
##  [669,]    FALSE  TRUE  TRUE     FALSE
##  [670,]    FALSE  TRUE  TRUE     FALSE
##  [671,]    FALSE  TRUE  TRUE     FALSE
##  [672,]    FALSE  TRUE  TRUE     FALSE
##  [673,]    FALSE  TRUE  TRUE      TRUE
##  [674,]    FALSE  TRUE  TRUE     FALSE
##  [675,]    FALSE FALSE  TRUE     FALSE
##  [676,]    FALSE  TRUE  TRUE     FALSE
##  [677,]    FALSE  TRUE  TRUE     FALSE
##  [678,]    FALSE  TRUE  TRUE     FALSE
##  [679,]    FALSE  TRUE  TRUE     FALSE
##  [680,]    FALSE  TRUE  TRUE     FALSE
##  [681,]    FALSE  TRUE  TRUE     FALSE
##  [682,]    FALSE  TRUE  TRUE     FALSE
##  [683,]    FALSE  TRUE  TRUE     FALSE
##  [684,]    FALSE  TRUE  TRUE     FALSE
##  [685,]    FALSE  TRUE  TRUE     FALSE
##  [686,]    FALSE  TRUE  TRUE     FALSE
##  [687,]    FALSE FALSE  TRUE     FALSE
##  [688,]    FALSE  TRUE  TRUE     FALSE
##  [689,]    FALSE  TRUE  TRUE     FALSE
##  [690,]    FALSE  TRUE  TRUE     FALSE
##  [691,]    FALSE  TRUE  TRUE     FALSE
##  [692,]    FALSE  TRUE  TRUE     FALSE
##  [693,]    FALSE  TRUE FALSE     FALSE
##  [694,]    FALSE FALSE  TRUE     FALSE
##  [695,]    FALSE  TRUE  TRUE     FALSE
##  [696,]    FALSE  TRUE  TRUE     FALSE
##  [697,]    FALSE  TRUE  TRUE      TRUE
##  [698,]    FALSE  TRUE  TRUE      TRUE
##  [699,]    FALSE  TRUE  TRUE      TRUE
##  [700,]    FALSE  TRUE  TRUE     FALSE
##  [701,]    FALSE  TRUE  TRUE      TRUE
##  [702,]    FALSE  TRUE  TRUE      TRUE
##  [703,]    FALSE  TRUE  TRUE      TRUE
##  [704,]    FALSE  TRUE  TRUE     FALSE
##  [705,]    FALSE  TRUE  TRUE      TRUE
##  [706,]    FALSE  TRUE  TRUE     FALSE
##  [707,]    FALSE  TRUE  TRUE     FALSE
##  [708,]    FALSE  TRUE  TRUE     FALSE
##  [709,]    FALSE  TRUE  TRUE     FALSE
##  [710,]    FALSE FALSE  TRUE     FALSE
##  [711,]    FALSE  TRUE  TRUE     FALSE
##  [712,]    FALSE  TRUE  TRUE     FALSE
##  [713,]    FALSE  TRUE  TRUE     FALSE
##  [714,]    FALSE  TRUE  TRUE     FALSE
##  [715,]    FALSE FALSE  TRUE     FALSE
##  [716,]    FALSE  TRUE  TRUE      TRUE
##  [717,]    FALSE  TRUE  TRUE     FALSE
##  [718,]    FALSE  TRUE  TRUE     FALSE
##  [719,]    FALSE  TRUE  TRUE     FALSE
##  [720,]    FALSE FALSE  TRUE     FALSE
##  [721,]    FALSE  TRUE  TRUE     FALSE
##  [722,]    FALSE  TRUE  TRUE     FALSE
##  [723,]    FALSE  TRUE  TRUE      TRUE
##  [724,]    FALSE  TRUE  TRUE     FALSE
##  [725,]    FALSE  TRUE  TRUE     FALSE
##  [726,]    FALSE FALSE  TRUE     FALSE
##  [727,]    FALSE  TRUE  TRUE     FALSE
##  [728,]    FALSE  TRUE FALSE      TRUE
##  [729,]    FALSE  TRUE  TRUE      TRUE
##  [730,]    FALSE  TRUE  TRUE     FALSE
##  [731,]    FALSE  TRUE  TRUE     FALSE
##  [732,]    FALSE  TRUE  TRUE     FALSE
##  [733,]    FALSE  TRUE  TRUE     FALSE
##  [734,]    FALSE FALSE  TRUE     FALSE
##  [735,]    FALSE FALSE  TRUE     FALSE
##  [736,]    FALSE FALSE  TRUE     FALSE
##  [737,]    FALSE  TRUE  TRUE     FALSE
##  [738,]    FALSE  TRUE  TRUE     FALSE
##  [739,]    FALSE FALSE  TRUE     FALSE
##  [740,]    FALSE  TRUE  TRUE     FALSE
##  [741,]    FALSE  TRUE  TRUE     FALSE
##  [742,]    FALSE  TRUE FALSE      TRUE
##  [743,]    FALSE FALSE  TRUE     FALSE
##  [744,]    FALSE  TRUE  TRUE     FALSE
##  [745,]    FALSE  TRUE  TRUE     FALSE
##  [746,]    FALSE FALSE  TRUE     FALSE
##  [747,]    FALSE FALSE  TRUE     FALSE
##  [748,]    FALSE  TRUE  TRUE     FALSE
##  [749,]    FALSE  TRUE FALSE     FALSE
##  [750,]    FALSE  TRUE  TRUE     FALSE
##  [751,]    FALSE  TRUE  TRUE     FALSE
##  [752,]    FALSE  TRUE  TRUE     FALSE
##  [753,]    FALSE  TRUE  TRUE     FALSE
##  [754,]    FALSE  TRUE  TRUE      TRUE
##  [755,]    FALSE  TRUE  TRUE     FALSE
##  [756,]    FALSE  TRUE  TRUE     FALSE
##  [757,]    FALSE  TRUE  TRUE     FALSE
##  [758,]    FALSE FALSE  TRUE     FALSE
##  [759,]    FALSE FALSE  TRUE     FALSE
##  [760,]    FALSE FALSE  TRUE     FALSE
##  [761,]    FALSE FALSE  TRUE     FALSE
##  [762,]    FALSE  TRUE  TRUE      TRUE
##  [763,]    FALSE FALSE  TRUE     FALSE
##  [764,]    FALSE FALSE  TRUE     FALSE
##  [765,]    FALSE  TRUE  TRUE     FALSE
##  [766,]    FALSE FALSE  TRUE     FALSE
##  [767,]    FALSE  TRUE  TRUE      TRUE
##  [768,]    FALSE  TRUE  TRUE      TRUE
##  [769,]    FALSE  TRUE  TRUE     FALSE
##  [770,]    FALSE  TRUE  TRUE      TRUE
##  [771,]    FALSE  TRUE  TRUE      TRUE
##  [772,]    FALSE FALSE  TRUE     FALSE
##  [773,]    FALSE  TRUE  TRUE      TRUE
##  [774,]    FALSE  TRUE  TRUE      TRUE
##  [775,]    FALSE  TRUE  TRUE      TRUE
##  [776,]    FALSE  TRUE  TRUE      TRUE
##  [777,]    FALSE  TRUE  TRUE     FALSE
##  [778,]    FALSE FALSE  TRUE     FALSE
##  [779,]    FALSE FALSE  TRUE     FALSE
##  [780,]    FALSE  TRUE  TRUE     FALSE
##  [781,]    FALSE  TRUE  TRUE     FALSE
##  [782,]    FALSE  TRUE FALSE     FALSE
##  [783,]    FALSE  TRUE  TRUE      TRUE
##  [784,]    FALSE FALSE  TRUE     FALSE
##  [785,]    FALSE  TRUE  TRUE     FALSE
##  [786,]    FALSE FALSE  TRUE     FALSE
##  [787,]    FALSE  TRUE  TRUE     FALSE
##  [788,]    FALSE  TRUE  TRUE     FALSE
##  [789,]    FALSE  TRUE  TRUE     FALSE
##  [790,]    FALSE  TRUE  TRUE      TRUE
##  [791,]    FALSE  TRUE  TRUE     FALSE
##  [792,]    FALSE  TRUE  TRUE      TRUE
##  [793,]    FALSE  TRUE  TRUE     FALSE
##  [794,]    FALSE  TRUE  TRUE     FALSE
##  [795,]    FALSE FALSE  TRUE     FALSE
##  [796,]    FALSE  TRUE  TRUE      TRUE
##  [797,]    FALSE  TRUE FALSE      TRUE
##  [798,]    FALSE  TRUE FALSE     FALSE
##  [799,]    FALSE FALSE  TRUE     FALSE
##  [800,]    FALSE  TRUE  TRUE      TRUE
##  [801,]    FALSE  TRUE  TRUE      TRUE
##  [802,]    FALSE  TRUE  TRUE      TRUE
##  [803,]    FALSE  TRUE  TRUE      TRUE
##  [804,]    FALSE  TRUE  TRUE     FALSE
##  [805,]    FALSE  TRUE  TRUE     FALSE
##  [806,]    FALSE FALSE  TRUE     FALSE
##  [807,]    FALSE  TRUE  TRUE     FALSE
##  [808,]    FALSE  TRUE  TRUE     FALSE
##  [809,]    FALSE  TRUE  TRUE     FALSE
##  [810,]    FALSE  TRUE  TRUE     FALSE
##  [811,]    FALSE  TRUE  TRUE     FALSE
##  [812,]    FALSE  TRUE  TRUE     FALSE
##  [813,]    FALSE  TRUE  TRUE     FALSE
##  [814,]    FALSE  TRUE  TRUE      TRUE
##  [815,]    FALSE  TRUE  TRUE     FALSE
##  [816,]    FALSE  TRUE  TRUE      TRUE
##  [817,]    FALSE  TRUE  TRUE      TRUE
##  [818,]    FALSE  TRUE FALSE      TRUE
##  [819,]    FALSE FALSE  TRUE     FALSE
##  [820,]    FALSE FALSE  TRUE     FALSE
##  [821,]    FALSE FALSE  TRUE     FALSE
##  [822,]    FALSE  TRUE  TRUE     FALSE
##  [823,]    FALSE  TRUE  TRUE     FALSE
##  [824,]    FALSE FALSE  TRUE     FALSE
##  [825,]    FALSE  TRUE  TRUE     FALSE
##  [826,]    FALSE  TRUE  TRUE     FALSE
##  [827,]    FALSE  TRUE  TRUE     FALSE
##  [828,]    FALSE  TRUE  TRUE     FALSE
##  [829,]    FALSE  TRUE  TRUE     FALSE
##  [830,]    FALSE  TRUE  TRUE     FALSE
##  [831,]    FALSE  TRUE  TRUE     FALSE
##  [832,]    FALSE  TRUE  TRUE     FALSE
##  [833,]    FALSE  TRUE  TRUE     FALSE
##  [834,]    FALSE  TRUE  TRUE     FALSE
##  [835,]    FALSE  TRUE  TRUE     FALSE
##  [836,]    FALSE  TRUE  TRUE      TRUE
##  [837,]    FALSE  TRUE  TRUE     FALSE
##  [838,]    FALSE  TRUE FALSE     FALSE
##  [839,]    FALSE  TRUE  TRUE     FALSE
##  [840,]    FALSE  TRUE  TRUE     FALSE
##  [841,]    FALSE  TRUE  TRUE      TRUE
##  [842,]    FALSE  TRUE  TRUE      TRUE
##  [843,]    FALSE  TRUE  TRUE      TRUE
##  [844,]    FALSE  TRUE  TRUE      TRUE
##  [845,]    FALSE  TRUE  TRUE      TRUE
##  [846,]    FALSE FALSE  TRUE      TRUE
##  [847,]    FALSE  TRUE  TRUE      TRUE
##  [848,]    FALSE  TRUE FALSE      TRUE
##  [849,]    FALSE  TRUE  TRUE      TRUE
##  [850,]    FALSE  TRUE  TRUE      TRUE
##  [851,]    FALSE  TRUE FALSE      TRUE
##  [852,]    FALSE FALSE  TRUE      TRUE
##  [853,]    FALSE  TRUE  TRUE      TRUE
##  [854,]    FALSE FALSE  TRUE      TRUE
##  [855,]    FALSE  TRUE  TRUE      TRUE
##  [856,]    FALSE  TRUE  TRUE      TRUE
##  [857,]    FALSE FALSE  TRUE      TRUE
##  [858,]    FALSE FALSE  TRUE      TRUE
##  [859,]    FALSE FALSE  TRUE      TRUE
##  [860,]    FALSE  TRUE  TRUE      TRUE
##  [861,]    FALSE  TRUE  TRUE      TRUE
##  [862,]    FALSE  TRUE  TRUE      TRUE
##  [863,]    FALSE FALSE  TRUE      TRUE
##  [864,]    FALSE  TRUE FALSE      TRUE
##  [865,]    FALSE  TRUE  TRUE      TRUE
##  [866,]    FALSE  TRUE  TRUE      TRUE
##  [867,]    FALSE FALSE  TRUE      TRUE
##  [868,]    FALSE FALSE  TRUE      TRUE
##  [869,]    FALSE  TRUE  TRUE      TRUE
##  [870,]    FALSE  TRUE  TRUE      TRUE
##  [871,]    FALSE  TRUE  TRUE      TRUE
##  [872,]    FALSE  TRUE  TRUE      TRUE
##  [873,]    FALSE FALSE  TRUE      TRUE
##  [874,]    FALSE  TRUE FALSE      TRUE
##  [875,]    FALSE FALSE  TRUE      TRUE
##  [876,]    FALSE  TRUE  TRUE      TRUE
##  [877,]    FALSE  TRUE  TRUE      TRUE
##  [878,]    FALSE  TRUE  TRUE      TRUE
##  [879,]    FALSE  TRUE  TRUE      TRUE
##  [880,]    FALSE  TRUE  TRUE      TRUE
##  [881,]    FALSE FALSE  TRUE      TRUE
##  [882,]    FALSE FALSE  TRUE      TRUE
##  [883,]    FALSE  TRUE  TRUE      TRUE
##  [884,]    FALSE  TRUE  TRUE      TRUE
##  [885,]    FALSE  TRUE  TRUE      TRUE
##  [886,]    FALSE  TRUE  TRUE      TRUE
##  [887,]    FALSE FALSE  TRUE      TRUE
##  [888,]    FALSE FALSE  TRUE      TRUE
##  [889,]    FALSE  TRUE FALSE      TRUE
##  [890,]    FALSE FALSE  TRUE      TRUE
##  [891,]    FALSE  TRUE FALSE      TRUE
##  [892,]    FALSE  TRUE FALSE      TRUE
##  [893,]    FALSE  TRUE  TRUE      TRUE
##  [894,]    FALSE  TRUE  TRUE      TRUE
##  [895,]    FALSE FALSE  TRUE      TRUE
##  [896,]    FALSE FALSE  TRUE      TRUE
##  [897,]    FALSE  TRUE  TRUE      TRUE
##  [898,]    FALSE  TRUE FALSE      TRUE
##  [899,]    FALSE  TRUE  TRUE      TRUE
##  [900,]    FALSE FALSE  TRUE      TRUE
##  [901,]    FALSE  TRUE  TRUE      TRUE
##  [902,]    FALSE  TRUE  TRUE      TRUE
##  [903,]    FALSE  TRUE  TRUE      TRUE
##  [904,]    FALSE  TRUE  TRUE      TRUE
##  [905,]    FALSE  TRUE  TRUE      TRUE
##  [906,]    FALSE FALSE  TRUE      TRUE
##  [907,]    FALSE  TRUE  TRUE      TRUE
##  [908,]    FALSE  TRUE  TRUE      TRUE
##  [909,]    FALSE  TRUE  TRUE      TRUE
##  [910,]    FALSE FALSE  TRUE      TRUE
##  [911,]    FALSE  TRUE  TRUE      TRUE
##  [912,]    FALSE  TRUE  TRUE      TRUE
##  [913,]    FALSE  TRUE  TRUE      TRUE
##  [914,]    FALSE FALSE  TRUE      TRUE
##  [915,]    FALSE  TRUE  TRUE      TRUE
##  [916,]    FALSE  TRUE  TRUE      TRUE
##  [917,]    FALSE FALSE  TRUE      TRUE
##  [918,]    FALSE FALSE  TRUE      TRUE
##  [919,]    FALSE  TRUE  TRUE      TRUE
##  [920,]    FALSE  TRUE FALSE      TRUE
##  [921,]    FALSE  TRUE  TRUE      TRUE
##  [922,]    FALSE FALSE  TRUE      TRUE
##  [923,]    FALSE FALSE  TRUE      TRUE
##  [924,]    FALSE FALSE  TRUE      TRUE
##  [925,]    FALSE  TRUE FALSE      TRUE
##  [926,]    FALSE  TRUE  TRUE      TRUE
##  [927,]    FALSE  TRUE  TRUE      TRUE
##  [928,]    FALSE  TRUE  TRUE      TRUE
##  [929,]    FALSE  TRUE  TRUE      TRUE
##  [930,]    FALSE  TRUE  TRUE      TRUE
##  [931,]    FALSE  TRUE  TRUE      TRUE
##  [932,]    FALSE  TRUE  TRUE      TRUE
##  [933,]    FALSE  TRUE  TRUE      TRUE
##  [934,]    FALSE  TRUE  TRUE      TRUE
##  [935,]    FALSE FALSE  TRUE      TRUE
##  [936,]    FALSE FALSE  TRUE      TRUE
##  [937,]    FALSE FALSE  TRUE      TRUE
##  [938,]    FALSE  TRUE  TRUE      TRUE
##  [939,]    FALSE  TRUE  TRUE      TRUE
##  [940,]    FALSE  TRUE  TRUE      TRUE
##  [941,]    FALSE  TRUE  TRUE      TRUE
##  [942,]    FALSE FALSE  TRUE      TRUE
##  [943,]    FALSE  TRUE  TRUE      TRUE
##  [944,]    FALSE  TRUE  TRUE      TRUE
##  [945,]    FALSE  TRUE  TRUE      TRUE
##  [946,]    FALSE FALSE  TRUE      TRUE
##  [947,]    FALSE  TRUE  TRUE      TRUE
##  [948,]    FALSE FALSE  TRUE      TRUE
##  [949,]    FALSE  TRUE  TRUE      TRUE
##  [950,]    FALSE FALSE  TRUE      TRUE
##  [951,]    FALSE  TRUE  TRUE      TRUE
##  [952,]    FALSE  TRUE  TRUE      TRUE
##  [953,]    FALSE  TRUE  TRUE      TRUE
##  [954,]    FALSE FALSE  TRUE      TRUE
##  [955,]    FALSE  TRUE  TRUE      TRUE
##  [956,]    FALSE  TRUE  TRUE      TRUE
##  [957,]    FALSE  TRUE  TRUE      TRUE
##  [958,]    FALSE  TRUE  TRUE      TRUE
##  [959,]    FALSE  TRUE  TRUE      TRUE
##  [960,]    FALSE  TRUE  TRUE      TRUE
##  [961,]    FALSE  TRUE FALSE      TRUE
##  [962,]    FALSE  TRUE  TRUE      TRUE
##  [963,]    FALSE  TRUE  TRUE      TRUE
##  [964,]    FALSE  TRUE  TRUE      TRUE
##  [965,]    FALSE  TRUE  TRUE      TRUE
##  [966,]    FALSE  TRUE  TRUE      TRUE
##  [967,]    FALSE  TRUE  TRUE      TRUE
##  [968,]    FALSE  TRUE  TRUE      TRUE
##  [969,]    FALSE FALSE  TRUE      TRUE
##  [970,]    FALSE FALSE  TRUE      TRUE
##  [971,]    FALSE FALSE  TRUE      TRUE
##  [972,]    FALSE  TRUE  TRUE      TRUE
##  [973,]    FALSE  TRUE  TRUE      TRUE
##  [974,]    FALSE  TRUE  TRUE      TRUE
##  [975,]    FALSE  TRUE  TRUE      TRUE
##  [976,]    FALSE  TRUE  TRUE      TRUE
##  [977,]    FALSE  TRUE FALSE      TRUE
##  [978,]    FALSE  TRUE  TRUE      TRUE
##  [979,]    FALSE FALSE  TRUE      TRUE
##  [980,]    FALSE  TRUE  TRUE      TRUE
##  [981,]    FALSE FALSE  TRUE      TRUE
##  [982,]    FALSE FALSE  TRUE      TRUE
##  [983,]    FALSE  TRUE  TRUE      TRUE
##  [984,]    FALSE  TRUE  TRUE      TRUE
##  [985,]    FALSE FALSE  TRUE      TRUE
##  [986,]    FALSE FALSE  TRUE      TRUE
##  [987,]    FALSE  TRUE  TRUE      TRUE
##  [988,]    FALSE  TRUE  TRUE      TRUE
##  [989,]    FALSE  TRUE  TRUE      TRUE
##  [990,]    FALSE  TRUE  TRUE      TRUE
##  [991,]    FALSE  TRUE  TRUE      TRUE
##  [992,]    FALSE FALSE  TRUE      TRUE
##  [993,]    FALSE  TRUE FALSE      TRUE
##  [994,]    FALSE FALSE  TRUE      TRUE
##  [995,]    FALSE  TRUE  TRUE      TRUE
##  [996,]    FALSE  TRUE  TRUE      TRUE
##  [997,]    FALSE  TRUE  TRUE      TRUE
##  [998,]    FALSE FALSE  TRUE      TRUE
##  [999,]    FALSE  TRUE  TRUE      TRUE
## [1000,]    FALSE FALSE  TRUE      TRUE
## [1001,]    FALSE  TRUE  TRUE      TRUE
## [1002,]    FALSE FALSE  TRUE      TRUE
## [1003,]    FALSE FALSE  TRUE      TRUE
## [1004,]    FALSE FALSE  TRUE      TRUE
## [1005,]    FALSE FALSE  TRUE      TRUE
## [1006,]    FALSE  TRUE  TRUE      TRUE
## [1007,]    FALSE FALSE  TRUE      TRUE
## [1008,]    FALSE  TRUE  TRUE      TRUE
## [1009,]    FALSE  TRUE  TRUE      TRUE
## [1010,]    FALSE  TRUE  TRUE      TRUE
## [1011,]    FALSE  TRUE  TRUE      TRUE
## [1012,]    FALSE  TRUE FALSE      TRUE
## [1013,]    FALSE  TRUE  TRUE      TRUE
## [1014,]    FALSE  TRUE  TRUE      TRUE
## [1015,]    FALSE  TRUE  TRUE      TRUE
## [1016,]    FALSE  TRUE FALSE      TRUE
## [1017,]    FALSE  TRUE  TRUE      TRUE
## [1018,]    FALSE FALSE  TRUE      TRUE
## [1019,]    FALSE  TRUE  TRUE      TRUE
## [1020,]    FALSE  TRUE  TRUE      TRUE
## [1021,]    FALSE  TRUE  TRUE      TRUE
## [1022,]    FALSE  TRUE  TRUE      TRUE
## [1023,]    FALSE  TRUE  TRUE      TRUE
## [1024,]    FALSE FALSE  TRUE      TRUE
## [1025,]    FALSE  TRUE FALSE      TRUE
## [1026,]    FALSE FALSE  TRUE      TRUE
## [1027,]    FALSE FALSE  TRUE      TRUE
## [1028,]    FALSE  TRUE  TRUE      TRUE
## [1029,]    FALSE FALSE  TRUE      TRUE
## [1030,]    FALSE  TRUE  TRUE      TRUE
## [1031,]    FALSE  TRUE  TRUE      TRUE
## [1032,]    FALSE  TRUE  TRUE      TRUE
## [1033,]    FALSE  TRUE  TRUE      TRUE
## [1034,]    FALSE FALSE  TRUE      TRUE
## [1035,]    FALSE FALSE  TRUE      TRUE
## [1036,]    FALSE FALSE  TRUE      TRUE
## [1037,]    FALSE FALSE  TRUE      TRUE
## [1038,]    FALSE  TRUE  TRUE      TRUE
## [1039,]    FALSE  TRUE  TRUE      TRUE
## [1040,]    FALSE FALSE  TRUE      TRUE
## [1041,]    FALSE FALSE  TRUE      TRUE
## [1042,]    FALSE  TRUE  TRUE      TRUE
## [1043,]    FALSE FALSE  TRUE      TRUE
## [1044,]    FALSE FALSE  TRUE      TRUE
## [1045,]    FALSE FALSE  TRUE      TRUE
## [1046,]    FALSE  TRUE  TRUE      TRUE
## [1047,]    FALSE  TRUE  TRUE      TRUE
## [1048,]    FALSE FALSE  TRUE      TRUE
## [1049,]    FALSE FALSE  TRUE      TRUE
## [1050,]    FALSE FALSE  TRUE      TRUE
## [1051,]    FALSE FALSE  TRUE      TRUE
## [1052,]    FALSE  TRUE  TRUE      TRUE
## [1053,]    FALSE  TRUE  TRUE      TRUE
## [1054,]    FALSE  TRUE  TRUE      TRUE
## [1055,]    FALSE  TRUE  TRUE      TRUE
## [1056,]    FALSE  TRUE  TRUE      TRUE
## [1057,]    FALSE FALSE  TRUE      TRUE
## [1058,]    FALSE FALSE  TRUE      TRUE
## [1059,]    FALSE  TRUE  TRUE      TRUE
## [1060,]    FALSE  TRUE  TRUE      TRUE
## [1061,]    FALSE FALSE  TRUE      TRUE
## [1062,]    FALSE FALSE  TRUE      TRUE
## [1063,]    FALSE  TRUE  TRUE      TRUE
## [1064,]    FALSE  TRUE  TRUE     FALSE
## [1065,]    FALSE FALSE  TRUE      TRUE
## [1066,]    FALSE  TRUE  TRUE      TRUE
## [1067,]    FALSE  TRUE FALSE      TRUE
## [1068,]    FALSE FALSE  TRUE      TRUE
## [1069,]    FALSE  TRUE  TRUE      TRUE
## [1070,]    FALSE  TRUE  TRUE      TRUE
## [1071,]    FALSE  TRUE  TRUE      TRUE
## [1072,]    FALSE  TRUE  TRUE      TRUE
## [1073,]    FALSE  TRUE  TRUE      TRUE
## [1074,]    FALSE  TRUE  TRUE      TRUE
## [1075,]    FALSE  TRUE  TRUE      TRUE
## [1076,]    FALSE  TRUE  TRUE      TRUE
## [1077,]    FALSE  TRUE  TRUE      TRUE
## [1078,]    FALSE FALSE  TRUE      TRUE
## [1079,]    FALSE  TRUE  TRUE      TRUE
## [1080,]    FALSE FALSE  TRUE      TRUE
## [1081,]    FALSE FALSE  TRUE      TRUE
## [1082,]    FALSE FALSE  TRUE      TRUE
## [1083,]    FALSE FALSE  TRUE      TRUE
## [1084,]    FALSE  TRUE FALSE      TRUE
## [1085,]    FALSE  TRUE  TRUE      TRUE
## [1086,]    FALSE  TRUE  TRUE      TRUE
## [1087,]    FALSE  TRUE  TRUE      TRUE
## [1088,]    FALSE  TRUE  TRUE      TRUE
## [1089,]    FALSE FALSE  TRUE      TRUE
## [1090,]    FALSE  TRUE FALSE     FALSE
## [1091,]    FALSE  TRUE  TRUE      TRUE
## [1092,]    FALSE  TRUE  TRUE      TRUE
## [1093,]    FALSE  TRUE  TRUE      TRUE
## [1094,]    FALSE  TRUE  TRUE      TRUE
## [1095,]    FALSE  TRUE  TRUE      TRUE
## [1096,]    FALSE  TRUE  TRUE      TRUE
## [1097,]    FALSE  TRUE FALSE      TRUE
## [1098,]    FALSE  TRUE  TRUE      TRUE
## [1099,]    FALSE  TRUE  TRUE      TRUE
## [1100,]    FALSE  TRUE  TRUE      TRUE
## [1101,]    FALSE  TRUE FALSE      TRUE
## [1102,]    FALSE  TRUE  TRUE      TRUE
## [1103,]    FALSE  TRUE  TRUE      TRUE
## [1104,]    FALSE  TRUE  TRUE      TRUE
## [1105,]    FALSE  TRUE  TRUE      TRUE
## [1106,]    FALSE  TRUE  TRUE      TRUE
## [1107,]    FALSE  TRUE  TRUE      TRUE
## [1108,]    FALSE  TRUE  TRUE      TRUE
## [1109,]    FALSE  TRUE  TRUE      TRUE
## [1110,]    FALSE  TRUE  TRUE      TRUE
## [1111,]    FALSE  TRUE  TRUE      TRUE
## [1112,]    FALSE  TRUE  TRUE      TRUE
## [1113,]    FALSE  TRUE  TRUE      TRUE
## [1114,]    FALSE  TRUE  TRUE      TRUE
## [1115,]    FALSE  TRUE  TRUE      TRUE
## [1116,]    FALSE  TRUE  TRUE      TRUE
## [1117,]    FALSE  TRUE  TRUE      TRUE
## [1118,]    FALSE  TRUE  TRUE      TRUE
## [1119,]    FALSE  TRUE  TRUE      TRUE
## [1120,]    FALSE  TRUE  TRUE      TRUE
## [1121,]    FALSE FALSE  TRUE      TRUE
## [1122,]    FALSE FALSE  TRUE      TRUE
## [1123,]    FALSE FALSE  TRUE      TRUE
## [1124,]    FALSE FALSE  TRUE      TRUE
## [1125,]    FALSE  TRUE  TRUE      TRUE
## [1126,]    FALSE  TRUE  TRUE      TRUE
## [1127,]    FALSE  TRUE  TRUE      TRUE
## [1128,]    FALSE  TRUE  TRUE      TRUE
## [1129,]    FALSE  TRUE  TRUE      TRUE
## [1130,]    FALSE  TRUE  TRUE      TRUE
## [1131,]    FALSE  TRUE  TRUE      TRUE
## [1132,]    FALSE FALSE  TRUE      TRUE
## [1133,]    FALSE  TRUE  TRUE      TRUE
## [1134,]    FALSE  TRUE  TRUE      TRUE
## [1135,]    FALSE  TRUE  TRUE      TRUE
## [1136,]    FALSE  TRUE  TRUE      TRUE
## [1137,]    FALSE  TRUE  TRUE      TRUE
## [1138,]    FALSE  TRUE  TRUE      TRUE
## [1139,]    FALSE  TRUE  TRUE      TRUE
## [1140,]    FALSE  TRUE  TRUE      TRUE
## [1141,]    FALSE  TRUE  TRUE      TRUE
## [1142,]    FALSE  TRUE  TRUE      TRUE
## [1143,]    FALSE  TRUE  TRUE      TRUE
## [1144,]    FALSE  TRUE  TRUE      TRUE
## [1145,]    FALSE  TRUE  TRUE      TRUE
## [1146,]    FALSE  TRUE  TRUE      TRUE
## [1147,]    FALSE  TRUE FALSE      TRUE
## [1148,]    FALSE  TRUE  TRUE      TRUE
## [1149,]    FALSE  TRUE  TRUE      TRUE
## [1150,]    FALSE FALSE  TRUE      TRUE
## [1151,]    FALSE  TRUE  TRUE      TRUE
## [1152,]    FALSE  TRUE  TRUE      TRUE
## [1153,]    FALSE  TRUE FALSE      TRUE
## [1154,]    FALSE  TRUE FALSE      TRUE
## [1155,]    FALSE  TRUE  TRUE      TRUE
## [1156,]    FALSE  TRUE  TRUE      TRUE
## [1157,]    FALSE  TRUE  TRUE      TRUE
## [1158,]    FALSE  TRUE  TRUE      TRUE
## [1159,]    FALSE  TRUE  TRUE      TRUE
## [1160,]    FALSE FALSE  TRUE      TRUE
## [1161,]    FALSE  TRUE  TRUE      TRUE
## [1162,]    FALSE  TRUE  TRUE      TRUE
## [1163,]    FALSE FALSE  TRUE      TRUE
## [1164,]    FALSE  TRUE  TRUE      TRUE
## [1165,]    FALSE  TRUE  TRUE      TRUE
## [1166,]    FALSE  TRUE  TRUE      TRUE
## [1167,]    FALSE  TRUE  TRUE      TRUE
## [1168,]    FALSE  TRUE  TRUE      TRUE
## [1169,]    FALSE  TRUE  TRUE      TRUE
## [1170,]    FALSE  TRUE FALSE      TRUE
## [1171,]    FALSE  TRUE  TRUE      TRUE
## [1172,]    FALSE  TRUE FALSE      TRUE
## [1173,]    FALSE  TRUE  TRUE      TRUE
## [1174,]    FALSE  TRUE  TRUE      TRUE
## [1175,]    FALSE  TRUE  TRUE      TRUE
## [1176,]    FALSE  TRUE  TRUE      TRUE
## [1177,]    FALSE  TRUE  TRUE      TRUE
## [1178,]    FALSE  TRUE  TRUE      TRUE
## [1179,]    FALSE  TRUE  TRUE      TRUE
## [1180,]    FALSE  TRUE  TRUE      TRUE
## [1181,]    FALSE  TRUE  TRUE      TRUE
## [1182,]    FALSE  TRUE  TRUE      TRUE
## [1183,]    FALSE FALSE  TRUE      TRUE
## [1184,]    FALSE  TRUE  TRUE      TRUE
## [1185,]    FALSE  TRUE  TRUE      TRUE
## [1186,]    FALSE  TRUE  TRUE      TRUE
## [1187,]    FALSE  TRUE  TRUE      TRUE
## [1188,]    FALSE FALSE  TRUE      TRUE
## [1189,]    FALSE FALSE  TRUE      TRUE
## [1190,]    FALSE FALSE  TRUE      TRUE
## [1191,]    FALSE FALSE  TRUE      TRUE
## [1192,]    FALSE  TRUE  TRUE      TRUE
## [1193,]    FALSE  TRUE FALSE      TRUE
## [1194,]    FALSE  TRUE  TRUE      TRUE
## [1195,]    FALSE  TRUE  TRUE      TRUE
## [1196,]    FALSE  TRUE  TRUE      TRUE
## [1197,]    FALSE FALSE  TRUE      TRUE
## [1198,]    FALSE  TRUE  TRUE      TRUE
## [1199,]    FALSE  TRUE  TRUE      TRUE
## [1200,]    FALSE  TRUE  TRUE      TRUE
## [1201,]    FALSE  TRUE  TRUE      TRUE
## [1202,]    FALSE  TRUE  TRUE      TRUE
## [1203,]    FALSE  TRUE  TRUE      TRUE
## [1204,]    FALSE  TRUE  TRUE      TRUE
## [1205,]    FALSE  TRUE  TRUE      TRUE
## [1206,]    FALSE FALSE  TRUE      TRUE
## [1207,]    FALSE  TRUE  TRUE      TRUE
## [1208,]    FALSE  TRUE  TRUE      TRUE
## [1209,]    FALSE  TRUE  TRUE      TRUE
## [1210,]    FALSE  TRUE  TRUE      TRUE
## [1211,]    FALSE  TRUE  TRUE      TRUE
## [1212,]    FALSE  TRUE  TRUE      TRUE
## [1213,]    FALSE  TRUE  TRUE      TRUE
## [1214,]    FALSE  TRUE  TRUE      TRUE
## [1215,]    FALSE  TRUE  TRUE      TRUE
## [1216,]    FALSE  TRUE  TRUE      TRUE
## [1217,]    FALSE FALSE  TRUE      TRUE
## [1218,]    FALSE  TRUE  TRUE      TRUE
## [1219,]    FALSE  TRUE  TRUE      TRUE
## [1220,]    FALSE  TRUE  TRUE      TRUE
## [1221,]    FALSE  TRUE  TRUE      TRUE
## [1222,]    FALSE  TRUE  TRUE      TRUE
## [1223,]    FALSE  TRUE  TRUE      TRUE
## [1224,]    FALSE FALSE  TRUE      TRUE
## [1225,]    FALSE  TRUE  TRUE      TRUE
## [1226,]    FALSE  TRUE FALSE      TRUE
## [1227,]    FALSE  TRUE  TRUE      TRUE
## [1228,]    FALSE  TRUE  TRUE      TRUE
## [1229,]    FALSE FALSE  TRUE      TRUE
## [1230,]    FALSE  TRUE  TRUE      TRUE
## [1231,]    FALSE  TRUE  TRUE      TRUE
## [1232,]    FALSE  TRUE  TRUE      TRUE
## [1233,]    FALSE FALSE  TRUE      TRUE
## [1234,]    FALSE FALSE  TRUE      TRUE
## [1235,]    FALSE  TRUE  TRUE      TRUE
## [1236,]    FALSE  TRUE  TRUE      TRUE
## [1237,]    FALSE FALSE  TRUE      TRUE
## [1238,]    FALSE  TRUE  TRUE      TRUE
## [1239,]    FALSE FALSE  TRUE      TRUE
## [1240,]    FALSE  TRUE FALSE      TRUE
## [1241,]    FALSE FALSE  TRUE      TRUE
## [1242,]    FALSE  TRUE  TRUE      TRUE
## [1243,]    FALSE  TRUE  TRUE      TRUE
## [1244,]    FALSE  TRUE  TRUE      TRUE
## [1245,]    FALSE FALSE  TRUE      TRUE
## [1246,]    FALSE  TRUE  TRUE      TRUE
## [1247,]    FALSE  TRUE  TRUE      TRUE
## [1248,]    FALSE FALSE  TRUE      TRUE
## [1249,]    FALSE  TRUE  TRUE      TRUE
## [1250,]    FALSE  TRUE  TRUE      TRUE
## [1251,]    FALSE  TRUE  TRUE      TRUE
## [1252,]    FALSE  TRUE FALSE      TRUE
## [1253,]    FALSE  TRUE  TRUE      TRUE
## [1254,]    FALSE  TRUE  TRUE      TRUE
## [1255,]    FALSE FALSE  TRUE      TRUE
## [1256,]    FALSE  TRUE  TRUE      TRUE
## [1257,]    FALSE FALSE  TRUE      TRUE
## [1258,]    FALSE FALSE  TRUE      TRUE
## [1259,]    FALSE FALSE  TRUE      TRUE
## [1260,]    FALSE  TRUE  TRUE      TRUE
## [1261,]    FALSE FALSE  TRUE      TRUE
## [1262,]    FALSE FALSE  TRUE      TRUE
## [1263,]    FALSE  TRUE  TRUE      TRUE
## [1264,]    FALSE  TRUE FALSE      TRUE
## [1265,]    FALSE  TRUE FALSE      TRUE
## [1266,]    FALSE  TRUE  TRUE      TRUE
## [1267,]    FALSE  TRUE  TRUE      TRUE
## [1268,]    FALSE  TRUE  TRUE      TRUE
## [1269,]    FALSE  TRUE  TRUE      TRUE
## [1270,]    FALSE  TRUE  TRUE      TRUE
## [1271,]    FALSE  TRUE  TRUE      TRUE
## [1272,]    FALSE  TRUE  TRUE      TRUE
## [1273,]    FALSE  TRUE  TRUE      TRUE
## [1274,]    FALSE  TRUE  TRUE      TRUE
## [1275,]    FALSE  TRUE  TRUE      TRUE
## [1276,]    FALSE  TRUE  TRUE      TRUE
## [1277,]    FALSE  TRUE  TRUE      TRUE
## [1278,]    FALSE FALSE  TRUE      TRUE
## [1279,]    FALSE  TRUE  TRUE      TRUE
## [1280,]    FALSE  TRUE  TRUE      TRUE
## [1281,]    FALSE  TRUE  TRUE      TRUE
## [1282,]    FALSE  TRUE  TRUE     FALSE
## [1283,]    FALSE  TRUE  TRUE      TRUE
## [1284,]    FALSE  TRUE  TRUE      TRUE
## [1285,]    FALSE  TRUE  TRUE      TRUE
## [1286,]    FALSE  TRUE FALSE      TRUE
## [1287,]    FALSE FALSE  TRUE      TRUE
## [1288,]    FALSE  TRUE  TRUE      TRUE
## [1289,]    FALSE  TRUE FALSE      TRUE
## [1290,]    FALSE  TRUE  TRUE      TRUE
## [1291,]    FALSE  TRUE  TRUE      TRUE
## [1292,]    FALSE  TRUE  TRUE      TRUE
## [1293,]    FALSE  TRUE  TRUE      TRUE
## [1294,]    FALSE  TRUE  TRUE      TRUE
## [1295,]    FALSE  TRUE FALSE      TRUE
## [1296,]    FALSE  TRUE  TRUE      TRUE
## [1297,]    FALSE  TRUE FALSE      TRUE
## [1298,]    FALSE  TRUE  TRUE      TRUE
## [1299,]    FALSE  TRUE  TRUE      TRUE
## [1300,]    FALSE FALSE  TRUE      TRUE
## [1301,]    FALSE  TRUE  TRUE      TRUE
## [1302,]    FALSE  TRUE FALSE      TRUE
## [1303,]    FALSE  TRUE  TRUE      TRUE
## [1304,]    FALSE  TRUE  TRUE      TRUE
## [1305,]    FALSE  TRUE FALSE      TRUE
## [1306,]    FALSE  TRUE  TRUE      TRUE
## [1307,]    FALSE  TRUE FALSE      TRUE
## [1308,]    FALSE  TRUE  TRUE      TRUE
## [1309,]    FALSE  TRUE  TRUE      TRUE
## [1310,]     TRUE  TRUE  TRUE      TRUE

Rút trích dữ liệu

Thực hiện thao tác rút trích dữ liệu

Rút trích các cột pclass,survived,sex,age và giữ nguyên các quan sát

# gán dữ liệu được trích vào c
c <- d[ ,c(1,2,4,5)]
c # dữ liệu mới được trích với 1310 quan sát và 4 biến
pclass survived sex age
1 1 female 29.0000
1 1 male 0.9167
1 0 female 2.0000
1 0 male 30.0000
1 0 female 25.0000
1 1 male 48.0000
1 1 female 63.0000
1 0 male 39.0000
1 1 female 53.0000
1 0 male 71.0000
1 0 male 47.0000
1 1 female 18.0000
1 1 female 24.0000
1 1 female 26.0000
1 1 male 80.0000
1 0 male NA
1 0 male 24.0000
1 1 female 50.0000
1 1 female 32.0000
1 0 male 36.0000
1 1 male 37.0000
1 1 female 47.0000
1 1 male 26.0000
1 1 female 42.0000
1 1 female 29.0000
1 0 male 25.0000
1 1 male 25.0000
1 1 female 19.0000
1 1 female 35.0000
1 1 male 28.0000
1 0 male 45.0000
1 1 male 40.0000
1 1 female 30.0000
1 1 female 58.0000
1 0 male 42.0000
1 1 female 45.0000
1 1 female 22.0000
1 1 male NA
1 0 male 41.0000
1 0 male 48.0000
1 0 male NA
1 1 female 44.0000
1 1 female 59.0000
1 1 female 60.0000
1 1 female 41.0000
1 0 male 45.0000
1 0 male NA
1 1 male 42.0000
1 1 female 53.0000
1 1 male 36.0000
1 1 female 58.0000
1 0 male 33.0000
1 0 male 28.0000
1 0 male 17.0000
1 1 male 11.0000
1 1 female 14.0000
1 1 male 36.0000
1 1 female 36.0000
1 0 male 49.0000
1 1 female NA
1 0 male 36.0000
1 1 female 76.0000
1 0 male 46.0000
1 1 female 47.0000
1 1 male 27.0000
1 1 female 33.0000
1 1 female 36.0000
1 1 female 30.0000
1 1 male 45.0000
1 1 female NA
1 0 male NA
1 0 male 27.0000
1 1 female 26.0000
1 1 female 22.0000
1 0 male NA
1 0 male 47.0000
1 1 female 39.0000
1 0 male 37.0000
1 1 female 64.0000
1 1 female 55.0000
1 0 male NA
1 0 male 70.0000
1 1 female 36.0000
1 1 female 64.0000
1 0 male 39.0000
1 1 female 38.0000
1 1 male 51.0000
1 1 male 27.0000
1 1 female 33.0000
1 0 male 31.0000
1 1 female 27.0000
1 1 male 31.0000
1 1 female 17.0000
1 1 male 53.0000
1 1 male 4.0000
1 1 female 54.0000
1 0 male 50.0000
1 1 female 27.0000
1 1 female 48.0000
1 1 female 48.0000
1 1 male 49.0000
1 0 male 39.0000
1 1 female 23.0000
1 1 female 38.0000
1 1 female 54.0000
1 0 female 36.0000
1 0 male NA
1 1 female NA
1 1 female NA
1 1 male 36.0000
1 0 male 30.0000
1 1 female 24.0000
1 1 female 28.0000
1 1 female 23.0000
1 0 male 19.0000
1 0 male 64.0000
1 1 female 60.0000
1 1 female 30.0000
1 0 male NA
1 1 male 50.0000
1 1 male 43.0000
1 1 female NA
1 1 female 22.0000
1 1 male 60.0000
1 1 female 48.0000
1 0 male NA
1 0 male 37.0000
1 1 female 35.0000
1 0 male 47.0000
1 1 female 35.0000
1 1 female 22.0000
1 1 female 45.0000
1 0 male 24.0000
1 1 male 49.0000
1 1 female NA
1 0 male 71.0000
1 1 male 53.0000
1 1 female 19.0000
1 0 male 38.0000
1 1 female 58.0000
1 1 male 23.0000
1 1 female 45.0000
1 0 male 46.0000
1 1 male 25.0000
1 1 female 25.0000
1 1 male 48.0000
1 1 female 49.0000
1 0 male NA
1 0 male 45.0000
1 1 female 35.0000
1 0 male 40.0000
1 1 male 27.0000
1 1 male NA
1 1 female 24.0000
1 0 male 55.0000
1 1 female 52.0000
1 0 male 42.0000
1 0 male NA
1 0 male 55.0000
1 1 female 16.0000
1 1 female 44.0000
1 1 female 51.0000
1 0 male 42.0000
1 1 female 35.0000
1 1 male 35.0000
1 1 male 38.0000
1 0 male NA
1 1 female 35.0000
1 1 female 38.0000
1 0 female 50.0000
1 1 male 49.0000
1 0 male 46.0000
1 0 male 50.0000
1 0 male 32.5000
1 0 male 58.0000
1 0 male 41.0000
1 1 female NA
1 1 male 42.0000
1 1 female 45.0000
1 0 male NA
1 1 female 39.0000
1 1 female 49.0000
1 1 female 30.0000
1 1 male 35.0000
1 0 male NA
1 0 male 42.0000
1 1 female 55.0000
1 1 female 16.0000
1 1 female 51.0000
1 0 male 29.0000
1 1 female 21.0000
1 0 male 30.0000
1 1 female 58.0000
1 1 female 15.0000
1 0 male 30.0000
1 1 female 16.0000
1 1 male NA
1 0 male 19.0000
1 1 female 18.0000
1 1 female 24.0000
1 0 male 46.0000
1 0 male 54.0000
1 1 male 36.0000
1 0 male 28.0000
1 1 female NA
1 0 male 65.0000
1 0 male 44.0000
1 1 female 33.0000
1 1 female 37.0000
1 1 male 30.0000
1 0 male 55.0000
1 0 male 47.0000
1 0 male 37.0000
1 1 female 31.0000
1 1 female 23.0000
1 0 male 58.0000
1 1 female 19.0000
1 0 male 64.0000
1 1 female 39.0000
1 1 male NA
1 1 female 22.0000
1 0 male 65.0000
1 0 male 28.5000
1 0 male NA
1 0 male 45.5000
1 0 male 23.0000
1 0 male 29.0000
1 1 female 22.0000
1 0 male 18.0000
1 1 female 17.0000
1 1 female 30.0000
1 1 male 52.0000
1 0 male 47.0000
1 1 female 56.0000
1 0 male 38.0000
1 1 male NA
1 0 male 22.0000
1 0 male NA
1 1 female 43.0000
1 0 male 31.0000
1 1 male 45.0000
1 0 male NA
1 1 female 33.0000
1 0 male 46.0000
1 0 male 36.0000
1 1 female 33.0000
1 0 male 55.0000
1 1 female 54.0000
1 0 male 33.0000
1 1 male 13.0000
1 1 female 18.0000
1 1 female 21.0000
1 0 male 61.0000
1 1 female 48.0000
1 1 male NA
1 1 female 24.0000
1 1 male NA
1 1 female 35.0000
1 1 female 30.0000
1 1 male 34.0000
1 1 female 40.0000
1 1 male 35.0000
1 0 male 50.0000
1 1 female 39.0000
1 1 male 56.0000
1 1 male 28.0000
1 0 male 56.0000
1 0 male 56.0000
1 0 male 24.0000
1 0 male NA
1 1 female 18.0000
1 1 male 24.0000
1 1 female 23.0000
1 1 male 6.0000
1 1 male 45.0000
1 1 female 40.0000
1 0 male 57.0000
1 1 female NA
1 1 male 32.0000
1 0 male 62.0000
1 1 male 54.0000
1 1 female 43.0000
1 1 female 52.0000
1 0 male NA
1 1 female 62.0000
1 0 male 67.0000
1 0 female 63.0000
1 0 male 61.0000
1 1 female 48.0000
1 1 female 18.0000
1 0 male 52.0000
1 1 female 39.0000
1 1 male 48.0000
1 1 female NA
1 0 male 49.0000
1 1 male 17.0000
1 1 female 39.0000
1 1 female NA
1 1 male 31.0000
1 0 male 40.0000
1 0 male 61.0000
1 0 male 47.0000
1 1 female 35.0000
1 0 male 64.0000
1 1 female 60.0000
1 0 male 60.0000
1 0 male 54.0000
1 0 male 21.0000
1 1 female 55.0000
1 1 female 31.0000
1 0 male 57.0000
1 1 female 45.0000
1 0 male 50.0000
1 0 male 27.0000
1 1 female 50.0000
1 1 female 21.0000
1 0 male 51.0000
1 1 male 21.0000
1 0 male NA
1 1 female 31.0000
1 1 male NA
1 0 male 62.0000
1 1 female 36.0000
2 0 male 30.0000
2 1 female 28.0000
2 0 male 30.0000
2 0 male 18.0000
2 0 male 25.0000
2 0 male 34.0000
2 1 female 36.0000
2 0 male 57.0000
2 0 male 18.0000
2 0 male 23.0000
2 1 female 36.0000
2 0 male 28.0000
2 0 male 51.0000
2 1 male 32.0000
2 1 female 19.0000
2 0 male 28.0000
2 1 male 1.0000
2 1 female 4.0000
2 1 female 12.0000
2 1 female 36.0000
2 1 male 34.0000
2 1 female 19.0000
2 0 male 23.0000
2 0 male 26.0000
2 0 male 42.0000
2 0 male 27.0000
2 1 female 24.0000
2 1 female 15.0000
2 0 male 60.0000
2 1 female 40.0000
2 1 female 20.0000
2 0 male 25.0000
2 1 female 36.0000
2 0 male 25.0000
2 0 male 42.0000
2 1 female 42.0000
2 1 male 0.8333
2 1 male 26.0000
2 1 female 22.0000
2 1 female 35.0000
2 0 male NA
2 0 male 19.0000
2 0 female 44.0000
2 0 male 54.0000
2 0 male 52.0000
2 0 male 37.0000
2 0 female 29.0000
2 1 female 25.0000
2 1 female 45.0000
2 0 male 29.0000
2 1 female 28.0000
2 0 male 29.0000
2 0 male 28.0000
2 1 male 24.0000
2 1 female 8.0000
2 0 male 31.0000
2 1 female 31.0000
2 1 female 22.0000
2 0 female 30.0000
2 0 female NA
2 0 male 21.0000
2 0 male NA
2 1 male 8.0000
2 0 male 18.0000
2 1 female 48.0000
2 1 female 28.0000
2 0 male 32.0000
2 0 male 17.0000
2 0 male 29.0000
2 1 female 24.0000
2 0 male 25.0000
2 0 male 18.0000
2 1 female 18.0000
2 1 female 34.0000
2 0 male 54.0000
2 1 male 8.0000
2 0 male 42.0000
2 1 female 34.0000
2 1 female 27.0000
2 1 female 30.0000
2 0 male 23.0000
2 0 male 21.0000
2 0 male 18.0000
2 0 male 40.0000
2 1 female 29.0000
2 0 male 18.0000
2 0 male 36.0000
2 0 male NA
2 0 female 38.0000
2 0 male 35.0000
2 0 male 38.0000
2 0 male 34.0000
2 1 female 34.0000
2 0 male 16.0000
2 0 male 26.0000
2 0 male 47.0000
2 0 male 21.0000
2 0 male 21.0000
2 0 male 24.0000
2 0 male 24.0000
2 0 male 34.0000
2 0 male 30.0000
2 0 male 52.0000
2 0 male 30.0000
2 1 male 0.6667
2 1 female 24.0000
2 0 male 44.0000
2 1 female 6.0000
2 0 male 28.0000
2 1 male 62.0000
2 0 male 30.0000
2 1 female 7.0000
2 0 male 43.0000
2 1 female 45.0000
2 1 female 24.0000
2 1 female 24.0000
2 0 male 49.0000
2 1 female 48.0000
2 1 female 55.0000
2 0 male 24.0000
2 0 male 32.0000
2 0 male 21.0000
2 0 female 18.0000
2 1 female 20.0000
2 0 male 23.0000
2 0 male 36.0000
2 1 female 54.0000
2 0 male 50.0000
2 0 male 44.0000
2 1 female 29.0000
2 0 male 21.0000
2 1 male 42.0000
2 0 male 63.0000
2 0 female 60.0000
2 0 male 33.0000
2 1 female 17.0000
2 0 male 42.0000
2 1 female 24.0000
2 0 male 47.0000
2 0 male 24.0000
2 0 male 22.0000
2 0 male 32.0000
2 1 female 23.0000
2 0 male 34.0000
2 1 female 24.0000
2 0 female 22.0000
2 1 female NA
2 0 male 35.0000
2 1 female 45.0000
2 0 male 57.0000
2 0 male NA
2 0 male 31.0000
2 0 female 26.0000
2 0 male 30.0000
2 0 male NA
2 1 female 1.0000
2 1 female 3.0000
2 0 male 25.0000
2 1 female 22.0000
2 1 female 17.0000
2 1 female NA
2 1 female 34.0000
2 0 male 36.0000
2 0 male 24.0000
2 0 male 61.0000
2 0 male 50.0000
2 1 female 42.0000
2 0 female 57.0000
2 0 male NA
2 1 male 1.0000
2 0 male 31.0000
2 1 female 24.0000
2 0 male NA
2 0 male 30.0000
2 0 male 40.0000
2 0 male 32.0000
2 0 male 30.0000
2 0 male 46.0000
2 1 female 13.0000
2 1 female 41.0000
2 1 male 19.0000
2 0 male 39.0000
2 0 male 48.0000
2 0 male 70.0000
2 0 male 27.0000
2 0 male 54.0000
2 0 male 39.0000
2 0 male 16.0000
2 0 male 62.0000
2 0 male 32.5000
2 1 female 14.0000
2 1 male 2.0000
2 1 male 3.0000
2 0 male 36.5000
2 0 male 26.0000
2 0 male 19.0000
2 0 male 28.0000
2 1 male 20.0000
2 1 female 29.0000
2 0 male 39.0000
2 1 male 22.0000
2 1 male NA
2 0 male 23.0000
2 1 male 29.0000
2 0 male 28.0000
2 0 male NA
2 1 female 50.0000
2 0 male 19.0000
2 0 male NA
2 0 male 41.0000
2 1 female 21.0000
2 1 female 19.0000
2 0 male 43.0000
2 1 female 32.0000
2 0 male 34.0000
2 1 male 30.0000
2 0 male 27.0000
2 1 female 2.0000
2 1 female 8.0000
2 1 female 33.0000
2 0 male 36.0000
2 0 male 34.0000
2 1 female 30.0000
2 1 female 28.0000
2 0 male 23.0000
2 1 male 0.8333
2 1 male 3.0000
2 1 female 24.0000
2 1 female 50.0000
2 0 male 19.0000
2 1 female 21.0000
2 0 male 26.0000
2 0 male 25.0000
2 0 male 27.0000
2 1 female 25.0000
2 1 female 18.0000
2 1 female 20.0000
2 1 female 30.0000
2 0 male 59.0000
2 1 female 30.0000
2 0 male 35.0000
2 1 female 40.0000
2 0 male 25.0000
2 0 male 41.0000
2 0 male 25.0000
2 0 male 18.5000
2 0 male 14.0000
2 1 female 50.0000
2 0 male 23.0000
2 1 female 28.0000
2 1 female 27.0000
2 0 male 29.0000
2 0 female 27.0000
2 0 male 40.0000
2 1 female 31.0000
2 0 male 30.0000
2 0 male 23.0000
2 1 female 31.0000
2 0 male NA
2 1 female 12.0000
2 1 female 40.0000
2 1 female 32.5000
2 0 male 27.0000
2 1 female 29.0000
2 1 male 2.0000
2 1 female 4.0000
2 1 female 29.0000
2 1 female 0.9167
2 1 female 5.0000
2 0 male 36.0000
2 1 female 33.0000
2 0 male 66.0000
2 0 male NA
2 1 male 31.0000
2 1 male NA
2 1 female 26.0000
2 0 female 24.0000
3 0 male 42.0000
3 0 male 13.0000
3 0 male 16.0000
3 1 female 35.0000
3 1 female 16.0000
3 1 male 25.0000
3 1 male 20.0000
3 1 female 18.0000
3 0 male 30.0000
3 0 male 26.0000
3 0 female 40.0000
3 1 male 0.8333
3 1 female 18.0000
3 1 male 26.0000
3 0 male 26.0000
3 0 male 20.0000
3 0 male 24.0000
3 0 male 25.0000
3 0 male 35.0000
3 0 male 18.0000
3 0 male 32.0000
3 1 female 19.0000
3 0 male 4.0000
3 0 female 6.0000
3 0 female 2.0000
3 1 female 17.0000
3 0 female 38.0000
3 0 female 9.0000
3 0 female 11.0000
3 0 male 39.0000
3 1 male 27.0000
3 0 male 26.0000
3 0 female 39.0000
3 0 male 20.0000
3 0 male 26.0000
3 0 male 25.0000
3 0 female 18.0000
3 0 male 24.0000
3 0 male 35.0000
3 0 male 5.0000
3 0 male 9.0000
3 1 male 3.0000
3 0 male 13.0000
3 1 female 5.0000
3 0 male 40.0000
3 1 male 23.0000
3 1 female 38.0000
3 1 female 45.0000
3 0 male 21.0000
3 0 male 23.0000
3 0 female 17.0000
3 0 male 30.0000
3 0 male 23.0000
3 1 female 13.0000
3 0 male 20.0000
3 0 male 32.0000
3 1 female 33.0000
3 1 female 0.7500
3 1 female 0.7500
3 1 female 5.0000
3 1 female 24.0000
3 1 female 18.0000
3 0 male 40.0000
3 0 male 26.0000
3 1 male 20.0000
3 0 female 18.0000
3 0 female 45.0000
3 0 female 27.0000
3 0 male 22.0000
3 0 male 19.0000
3 0 male 26.0000
3 0 male 22.0000
3 0 male NA
3 0 male 20.0000
3 1 male 32.0000
3 0 male 21.0000
3 0 male 18.0000
3 0 male 26.0000
3 0 male 6.0000
3 0 female 9.0000
3 0 male NA
3 0 female NA
3 0 female NA
3 0 male 40.0000
3 0 female 32.0000
3 0 male 21.0000
3 1 female 22.0000
3 0 female 20.0000
3 0 male 29.0000
3 0 male 22.0000
3 0 male 22.0000
3 0 male 35.0000
3 0 female 18.5000
3 1 male 21.0000
3 0 male 19.0000
3 0 female 18.0000
3 0 female 21.0000
3 0 female 30.0000
3 0 male 18.0000
3 0 male 38.0000
3 0 male 17.0000
3 0 male 17.0000
3 0 female 21.0000
3 0 male 21.0000
3 0 male 21.0000
3 0 male NA
3 0 female NA
3 0 male 28.0000
3 0 male 24.0000
3 1 female 16.0000
3 0 female 37.0000
3 0 male 28.0000
3 0 male 24.0000
3 0 male 21.0000
3 1 male 32.0000
3 0 male 29.0000
3 0 male 26.0000
3 0 male 18.0000
3 0 male 20.0000
3 1 male 18.0000
3 0 male 24.0000
3 0 male 36.0000
3 0 male 24.0000
3 0 male 31.0000
3 0 male 31.0000
3 1 female 22.0000
3 0 female 30.0000
3 0 male 70.5000
3 0 male 43.0000
3 0 male 35.0000
3 0 male 27.0000
3 0 male 19.0000
3 0 male 30.0000
3 1 male 9.0000
3 1 male 3.0000
3 1 female 36.0000
3 0 male 59.0000
3 0 male 19.0000
3 1 female 17.0000
3 0 male 44.0000
3 0 male 17.0000
3 0 male 22.5000
3 1 male 45.0000
3 0 female 22.0000
3 0 male 19.0000
3 1 female 30.0000
3 1 male 29.0000
3 0 male 0.3333
3 0 male 34.0000
3 0 female 28.0000
3 0 male 27.0000
3 0 male 25.0000
3 0 male 24.0000
3 0 male 22.0000
3 0 male 21.0000
3 0 male 17.0000
3 0 male NA
3 1 female NA
3 1 male 36.5000
3 1 female 36.0000
3 1 male 30.0000
3 0 male 16.0000
3 1 male 1.0000
3 1 female 0.1667
3 0 male 26.0000
3 1 female 33.0000
3 0 male 25.0000
3 0 male NA
3 0 male NA
3 0 male 22.0000
3 0 male 36.0000
3 1 female 19.0000
3 0 male 17.0000
3 0 male 42.0000
3 0 male 43.0000
3 0 male NA
3 0 male 32.0000
3 1 male 19.0000
3 1 female 30.0000
3 0 female 24.0000
3 1 female 23.0000
3 0 male 33.0000
3 0 male 65.0000
3 1 male 24.0000
3 0 male 23.0000
3 1 female 22.0000
3 0 male 18.0000
3 0 male 16.0000
3 0 male 45.0000
3 0 male NA
3 0 male 39.0000
3 0 male 17.0000
3 0 male 15.0000
3 0 male 47.0000
3 1 female 5.0000
3 0 male NA
3 0 male 40.5000
3 0 male 40.5000
3 1 male NA
3 0 male 18.0000
3 0 female NA
3 0 male NA
3 0 male NA
3 0 male 26.0000
3 0 male NA
3 1 male NA
3 0 female 21.0000
3 0 female 9.0000
3 0 male NA
3 0 male 18.0000
3 0 male 16.0000
3 0 female 48.0000
3 0 male NA
3 0 male NA
3 0 male 25.0000
3 0 male NA
3 0 male NA
3 0 male 22.0000
3 1 female 16.0000
3 1 female NA
3 1 male 9.0000
3 0 male 33.0000
3 0 male 41.0000
3 1 female 31.0000
3 0 male 38.0000
3 0 male 9.0000
3 0 male 1.0000
3 0 male 11.0000
3 0 female 10.0000
3 0 female 16.0000
3 0 male 14.0000
3 0 male 40.0000
3 0 female 43.0000
3 0 male 51.0000
3 0 male 32.0000
3 0 male NA
3 0 male 20.0000
3 0 male 37.0000
3 0 male 28.0000
3 0 male 19.0000
3 0 female 24.0000
3 0 female 17.0000
3 0 male NA
3 0 male NA
3 0 male 28.0000
3 1 female 24.0000
3 0 male 20.0000
3 0 male 23.5000
3 0 male 41.0000
3 0 male 26.0000
3 0 male 21.0000
3 1 female 45.0000
3 0 female NA
3 0 male 25.0000
3 0 male NA
3 0 male 11.0000
3 1 female NA
3 1 male 27.0000
3 1 male NA
3 0 female 18.0000
3 1 female 26.0000
3 0 female 23.0000
3 1 female 22.0000
3 0 male 28.0000
3 0 female 28.0000
3 0 female NA
3 1 female 2.0000
3 1 female 22.0000
3 0 male 43.0000
3 0 male 28.0000
3 1 female 27.0000
3 0 male NA
3 1 female NA
3 0 male 42.0000
3 1 male NA
3 0 male 30.0000
3 0 male NA
3 0 female 27.0000
3 0 female 25.0000
3 0 male NA
3 1 male 29.0000
3 1 male 21.0000
3 0 male NA
3 0 male 20.0000
3 0 male 48.0000
3 0 male 17.0000
3 1 female NA
3 1 male NA
3 0 male 34.0000
3 1 male 26.0000
3 0 male 22.0000
3 0 male 33.0000
3 0 male 31.0000
3 0 male 29.0000
3 1 male 4.0000
3 1 female 1.0000
3 0 male 49.0000
3 0 male 33.0000
3 0 male 19.0000
3 1 female 27.0000
3 0 male NA
3 0 female NA
3 0 male NA
3 0 female NA
3 0 male 23.0000
3 1 male 32.0000
3 0 male 27.0000
3 0 female 20.0000
3 0 female 21.0000
3 1 male 32.0000
3 0 male 17.0000
3 0 male 21.0000
3 0 male 30.0000
3 1 male 21.0000
3 0 male 33.0000
3 0 male 22.0000
3 1 female 4.0000
3 1 male 39.0000
3 0 male NA
3 0 male 18.5000
3 0 male NA
3 0 male NA
3 1 female NA
3 1 female NA
3 0 male 34.5000
3 0 male 44.0000
3 1 male NA
3 0 male NA
3 0 female NA
3 0 male NA
3 0 male NA
3 0 male NA
3 0 female 22.0000
3 0 male 26.0000
3 1 female 4.0000
3 1 male 29.0000
3 1 female 26.0000
3 0 female 1.0000
3 0 male 18.0000
3 0 female 36.0000
3 0 male NA
3 1 male 25.0000
3 0 male NA
3 0 female 37.0000
3 0 male NA
3 1 male NA
3 0 male NA
3 1 female 22.0000
3 0 male NA
3 1 male 26.0000
3 0 male 29.0000
3 0 male 29.0000
3 0 male 22.0000
3 1 male 22.0000
3 0 male NA
3 0 female NA
3 0 female NA
3 0 female NA
3 0 female NA
3 0 male 32.0000
3 0 male 34.5000
3 0 female NA
3 0 male NA
3 0 male 36.0000
3 0 male 39.0000
3 0 male 24.0000
3 0 female 25.0000
3 0 female 45.0000
3 0 male 36.0000
3 0 female 30.0000
3 1 male 20.0000
3 0 male NA
3 0 male 28.0000
3 0 male NA
3 0 male 30.0000
3 0 female 26.0000
3 0 male NA
3 0 male 20.5000
3 1 male 27.0000
3 0 male 51.0000
3 1 female 23.0000
3 1 male 32.0000
3 0 male NA
3 0 male NA
3 1 female NA
3 1 male 24.0000
3 0 male 22.0000
3 0 female NA
3 0 male NA
3 0 male NA
3 0 male 29.0000
3 1 male NA
3 0 female 30.5000
3 1 female NA
3 0 male NA
3 0 male 35.0000
3 0 male 33.0000
3 1 female NA
3 0 male NA
3 1 female NA
3 1 male NA
3 1 female NA
3 1 female NA
3 1 male NA
3 1 female NA
3 0 male NA
3 1 female NA
3 1 female 15.0000
3 0 female 35.0000
3 0 male NA
3 0 male 24.0000
3 0 female 19.0000
3 0 female NA
3 0 female NA
3 0 female NA
3 0 male 55.5000
3 0 male NA
3 1 male 21.0000
3 0 male NA
3 0 male 24.0000
3 0 male 21.0000
3 0 male 28.0000
3 0 male NA
3 1 female NA
3 0 male 25.0000
3 1 male 6.0000
3 1 female 27.0000
3 0 male NA
3 1 female NA
3 0 male NA
3 0 male NA
3 0 male 34.0000
3 0 male NA
3 1 male NA
3 1 male NA
3 1 male NA
3 1 female NA
3 1 female NA
3 0 male NA
3 1 female NA
3 1 female 24.0000
3 0 male NA
3 1 female NA
3 1 female NA
3 1 female NA
3 0 male 18.0000
3 0 male 22.0000
3 1 female 15.0000
3 1 female 1.0000
3 1 male 20.0000
3 1 female 19.0000
3 0 male 33.0000
3 0 male NA
3 0 male NA
3 0 female NA
3 0 male NA
3 1 male 12.0000
3 1 female 14.0000
3 0 female 29.0000
3 0 male 28.0000
3 1 female 18.0000
3 1 female 26.0000
3 0 male 21.0000
3 0 male 41.0000
3 1 male 39.0000
3 0 male 21.0000
3 0 male 28.5000
3 1 female 22.0000
3 0 male 61.0000
3 0 male NA
3 0 male NA
3 1 female NA
3 0 male NA
3 0 male NA
3 0 male NA
3 0 male 23.0000
3 0 female NA
3 1 female NA
3 1 female NA
3 1 female 22.0000
3 1 male NA
3 1 female NA
3 1 male 9.0000
3 0 male 28.0000
3 0 male 42.0000
3 0 male NA
3 0 female 31.0000
3 0 male 28.0000
3 1 male 32.0000
3 0 male 20.0000
3 0 female 23.0000
3 0 female 20.0000
3 0 male 20.0000
3 0 male 16.0000
3 1 female 31.0000
3 0 female NA
3 0 male 2.0000
3 0 male 6.0000
3 0 female 3.0000
3 0 female 8.0000
3 0 female 29.0000
3 0 male 1.0000
3 0 male 7.0000
3 0 male 2.0000
3 0 male 16.0000
3 0 male 14.0000
3 0 female 41.0000
3 0 male 21.0000
3 0 male 19.0000
3 0 male NA
3 0 male 32.0000
3 0 male 0.7500
3 0 female 3.0000
3 0 female 26.0000
3 0 male NA
3 0 male NA
3 0 male NA
3 0 male 21.0000
3 0 male 25.0000
3 0 male 22.0000
3 1 male 25.0000
3 1 male NA
3 1 female NA
3 1 female NA
3 0 female NA
3 0 male 24.0000
3 0 female 28.0000
3 0 male 19.0000
3 0 male NA
3 0 male 25.0000
3 0 female 18.0000
3 1 male 32.0000
3 0 male NA
3 0 male 17.0000
3 0 male 24.0000
3 0 male NA
3 0 female NA
3 0 male NA
3 0 male NA
3 0 male 38.0000
3 0 male 21.0000
3 0 male 10.0000
3 0 male 4.0000
3 0 male 7.0000
3 0 male 2.0000
3 0 male 8.0000
3 0 female 39.0000
3 0 female 22.0000
3 0 male 35.0000
3 1 female NA
3 0 male NA
3 0 female NA
3 0 male 50.0000
3 0 female 47.0000
3 0 male NA
3 0 male NA
3 0 female 2.0000
3 0 male 18.0000
3 0 female 41.0000
3 1 female NA
3 0 male 50.0000
3 0 male 16.0000
3 1 male NA
3 0 male NA
3 0 male NA
3 0 male 25.0000
3 0 male NA
3 0 male NA
3 0 male NA
3 0 male 38.5000
3 0 male NA
3 0 male 14.5000
3 0 female NA
3 0 female NA
3 0 female NA
3 0 female NA
3 0 male NA
3 0 male NA
3 0 male NA
3 0 male NA
3 0 female NA
3 0 male 24.0000
3 1 female 21.0000
3 0 male 39.0000
3 0 male NA
3 0 male NA
3 0 male NA
3 1 female 1.0000
3 1 female 24.0000
3 1 female 4.0000
3 1 male 25.0000
3 0 male 20.0000
3 0 male 24.5000
3 0 male NA
3 0 male NA
3 0 male NA
3 1 male 29.0000
3 0 male NA
3 1 female NA
3 0 male NA
3 0 male NA
3 0 male 22.0000
3 0 male NA
3 0 male 40.0000
3 0 male 21.0000
3 1 female 18.0000
3 0 male 4.0000
3 0 male 10.0000
3 0 female 9.0000
3 0 female 2.0000
3 0 male 40.0000
3 0 female 45.0000
3 0 male NA
3 0 male NA
3 0 male NA
3 0 male NA
3 1 female NA
3 0 male 19.0000
3 0 male 30.0000
3 0 male NA
3 0 male 32.0000
3 0 male NA
3 0 male 33.0000
3 1 female 23.0000
3 0 male 21.0000
3 0 male 60.5000
3 0 male 19.0000
3 0 female 22.0000
3 1 male 31.0000
3 0 male 27.0000
3 0 female 2.0000
3 0 female 29.0000
3 1 male 16.0000
3 1 male 44.0000
3 0 male 25.0000
3 0 male 74.0000
3 1 male 14.0000
3 0 male 24.0000
3 1 male 25.0000
3 0 male 34.0000
3 1 male 0.4167
3 0 male NA
3 0 male NA
3 0 male NA
3 1 female 16.0000
3 0 male NA
3 0 male NA
3 1 female NA
3 0 male 32.0000
3 0 male NA
3 0 male NA
3 0 male 30.5000
3 0 male 44.0000
3 0 male NA
3 1 male 25.0000
3 0 male NA
3 1 male 7.0000
3 1 female 9.0000
3 1 female 29.0000
3 0 male 36.0000
3 1 female 18.0000
3 1 female 63.0000
3 0 male NA
3 0 male 11.5000
3 0 male 40.5000
3 0 female 10.0000
3 0 male 36.0000
3 0 female 30.0000
3 0 male NA
3 0 male 33.0000
3 0 male 28.0000
3 0 male 28.0000
3 0 male 47.0000
3 0 female 18.0000
3 0 male 31.0000
3 0 male 16.0000
3 0 female 31.0000
3 1 male 22.0000
3 0 male 20.0000
3 0 female 14.0000
3 0 male 22.0000
3 0 male 22.0000
3 0 male NA
3 0 male NA
3 0 male NA
3 0 male 32.5000
3 1 female 38.0000
3 0 male 51.0000
3 0 male 18.0000
3 0 male 21.0000
3 1 female 47.0000
3 0 male NA
3 0 male NA
3 0 male NA
3 0 male 28.5000
3 0 male 21.0000
3 0 male 27.0000
3 0 male NA
3 0 male 36.0000
3 0 male 27.0000
3 1 female 15.0000
3 0 male 45.5000
3 0 male NA
3 0 male NA
3 0 female 14.5000
3 0 female NA
3 0 male 26.5000
3 0 male 27.0000
3 0 male 29.0000
NA NA NA NA

Thực hiện rút trích hành khách còn sống sót và có độ tuổi từ 30 trở lại

# gán dữ liệu vào b để hiển thị 'survived' có giá trị bằng 1, và hiển thị 'age' có giá trị <= 30
b <- d[d$survived ==1 & d$age <=30.0000,]
b # dữ liệu mới bao gồm 322 quan sát với 4 biến
pclass survived name sex age sibsp parch ticket fare cabin embarked boat body home.dest
1 1 1 Allen, Miss. Elisabeth Walton female 29.0000 0 0 24160 211.3375 B5 S 2 NA St Louis, MO
2 1 1 Allison, Master. Hudson Trevor male 0.9167 1 2 113781 151.5500 C22 C26 S 11 NA Montreal, PQ / Chesterville, ON
12 1 1 Astor, Mrs. John Jacob (Madeleine Talmadge Force) female 18.0000 1 0 PC 17757 227.5250 C62 C64 C 4 NA New York, NY
13 1 1 Aubart, Mme. Leontine Pauline female 24.0000 0 0 PC 17477 69.3000 B35 C 9 NA Paris, France
14 1 1 Barber, Miss. Ellen “Nellie” female 26.0000 0 0 19877 78.8500 NA S 6 NA NA
23 1 1 Behr, Mr. Karl Howell male 26.0000 0 0 111369 30.0000 C148 C 5 NA New York, NY
25 1 1 Bird, Miss. Ellen female 29.0000 0 0 PC 17483 221.7792 C97 S 8 NA NA
27 1 1 Bishop, Mr. Dickinson H male 25.0000 1 0 11967 91.0792 B49 C 7 NA Dowagiac, MI
28 1 1 Bishop, Mrs. Dickinson H (Helen Walton) female 19.0000 1 0 11967 91.0792 B49 C 7 NA Dowagiac, MI
30 1 1 Bjornstrom-Steffansson, Mr. Mauritz Hakan male 28.0000 0 0 110564 26.5500 C52 S D NA Stockholm, Sweden / Washington, DC
33 1 1 Bonnell, Miss. Caroline female 30.0000 0 0 36928 164.8667 C7 S 8 NA Youngstown, OH
37 1 1 Bowerman, Miss. Elsie Edith female 22.0000 0 1 113505 55.0000 E33 S 6 NA St Leonards-on-Sea, England Ohio
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
55 1 1 Carter, Master. William Thornton II male 11.0000 1 2 113760 120.0000 B96 B98 S 4 NA Bryn Mawr, PA
56 1 1 Carter, Miss. Lucile Polk female 14.0000 1 2 113760 120.0000 B96 B98 S 4 NA Bryn Mawr, PA
NA.1 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
65 1 1 Chambers, Mr. Norman Campbell male 27.0000 1 0 113806 53.1000 E8 S 5 NA New York, NY / Ithaca, NY
68 1 1 Cherry, Miss. Gladys female 30.0000 0 0 110152 86.5000 B77 S 8 NA London, England
NA.2 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
73 1 1 Clark, Mrs. Walter Miller (Virginia McDowell) female 26.0000 1 0 13508 136.7792 C89 C 4 NA Los Angeles, CA
74 1 1 Cleaver, Miss. Alice female 22.0000 0 0 113781 151.5500 NA S 11 NA NA
88 1 1 Daniel, Mr. Robert Williams male 27.0000 0 0 113804 30.5000 NA S 3 NA Philadelphia, PA
91 1 1 Davidson, Mrs. Thornton (Orian Hays) female 27.0000 1 2 F.C. 12750 52.0000 B71 S 3 NA Montreal, PQ
93 1 1 Dick, Mrs. Albert Adrian (Vera Gillespie) female 17.0000 1 0 17474 57.0000 B20 S 3 NA Calgary, AB
95 1 1 Dodge, Master. Washington male 4.0000 0 2 33638 81.8583 A34 S 5 NA San Francisco, CA
98 1 1 Douglas, Mrs. Frederick Charles (Mary Helene Baxter) female 27.0000 1 1 PC 17558 247.5208 B58 B60 C 6 NA Montreal, PQ
103 1 1 Earnshaw, Mrs. Boulton (Olive Potter) female 23.0000 0 1 11767 83.1583 C54 C 7 NA Mt Airy, Philadelphia, PA
NA.3 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.4 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
112 1 1 Fortune, Miss. Alice Elizabeth female 24.0000 3 2 19950 263.0000 C23 C25 C27 S 10 NA Winnipeg, MB
113 1 1 Fortune, Miss. Ethel Flora female 28.0000 3 2 19950 263.0000 C23 C25 C27 S 10 NA Winnipeg, MB
114 1 1 Fortune, Miss. Mabel Helen female 23.0000 3 2 19950 263.0000 C23 C25 C27 S 10 NA Winnipeg, MB
118 1 1 Francatelli, Miss. Laura Mabel female 30.0000 0 0 PC 17485 56.9292 E36 C 1 NA NA
NA.5 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
123 1 1 Frolicher, Miss. Hedwig Margaritha female 22.0000 0 2 13568 49.5000 B39 C 5 NA Zurich, Switzerland
131 1 1 Gibson, Miss. Dorothy Winifred female 22.0000 0 1 112378 59.4000 NA C 7 NA New York, NY
NA.6 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
138 1 1 Graham, Miss. Margaret Edith female 19.0000 0 0 112053 30.0000 B42 S 3 NA Greenwich, CT
141 1 1 Greenfield, Mr. William Bertram male 23.0000 0 1 PC 17759 63.3583 D10 D12 C 7 NA New York, NY
144 1 1 Harder, Mr. George Achilles male 25.0000 1 0 11765 55.4417 E50 C 5 NA Brooklyn, NY
145 1 1 Harder, Mrs. George Achilles (Dorothy Annan) female 25.0000 1 0 11765 55.4417 E50 C 5 NA Brooklyn, NY
152 1 1 Hassab, Mr. Hammad male 27.0000 0 0 PC 17572 76.7292 D49 C 3 NA NA
NA.7 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
154 1 1 Hays, Miss. Margaret Bechstein female 24.0000 0 0 11767 83.1583 C54 C 7 NA New York, NY
160 1 1 Hippach, Miss. Jean Gertrude female 16.0000 0 1 111361 57.9792 B18 C 4 NA Chicago, IL
NA.8 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
183 1 1 LeRoy, Miss. Bertha female 30.0000 0 0 PC 17761 106.4250 NA C 2 NA NA
188 1 1 Lines, Miss. Mary Conover female 16.0000 0 1 PC 17592 39.4000 D28 S 9 NA Paris, France
191 1 1 Longley, Miss. Gretchen Fiske female 21.0000 0 0 13502 77.9583 D9 S 10 NA Hudson, NY
194 1 1 Madill, Miss. Georgette Alexandra female 15.0000 0 1 24160 211.3375 B5 S 2 NA St Louis, MO
196 1 1 Maioni, Miss. Roberta female 16.0000 0 0 110152 86.5000 B79 S 8 NA NA
NA.9 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
199 1 1 Marvin, Mrs. Daniel Warner (Mary Graham Carmichael Farquarson) female 18.0000 1 0 113773 53.1000 D30 S 10 NA New York, NY
200 1 1 Mayne, Mlle. Berthe Antonine (“Mrs de Villiers”) female 24.0000 0 0 PC 17482 49.5042 C90 C 6 NA Belgium Montreal, PQ
NA.10 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
210 1 1 Mock, Mr. Philipp Edmund male 30.0000 1 0 13236 57.7500 C78 C 11 NA New York, NY
215 1 1 Newell, Miss. Marjorie female 23.0000 1 0 35273 113.2750 D36 C 6 NA Lexington, MA
217 1 1 Newsom, Miss. Helen Monypeny female 19.0000 0 2 11752 26.2833 D47 S 5 NA New York, NY
NA.11 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
221 1 1 Ostby, Miss. Helene Ragnhild female 22.0000 0 1 113509 61.9792 B36 C 5 NA Providence, RI
228 1 1 Pears, Mrs. Thomas (Edith Wearne) female 22.0000 1 0 113776 66.6000 C2 S 8 NA Isleworth, England
230 1 1 Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo) female 17.0000 1 0 PC 17758 108.9000 C65 C 8 NA Madrid, Spain
231 1 1 Perreault, Miss. Anne female 30.0000 0 0 12749 93.5000 B73 S 3 NA NA
NA.12 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
250 1 1 Ryerson, Master. John Borie male 13.0000 2 2 PC 17608 262.3750 B57 B59 B63 B66 C 4 NA Haverford, PA / Cooperstown, NY
251 1 1 Ryerson, Miss. Emily Borie female 18.0000 2 2 PC 17608 262.3750 B57 B59 B63 B66 C 4 NA Haverford, PA / Cooperstown, NY
252 1 1 Ryerson, Miss. Susan Parker “Suzette” female 21.0000 2 2 PC 17608 262.3750 B57 B59 B63 B66 C 4 NA Haverford, PA / Cooperstown, NY
NA.13 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
256 1 1 Sagesser, Mlle. Emma female 24.0000 0 0 PC 17477 69.3000 B35 C 9 NA NA
NA.14 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
259 1 1 Serepeca, Miss. Augusta female 30.0000 0 0 113798 31.0000 NA C 4 NA NA
266 1 1 Sloper, Mr. William Thompson male 28.0000 0 0 113788 35.5000 A6 S 7 NA New Britain, CT
271 1 1 Smith, Mrs. Lucien Philip (Mary Eloise Hughes) female 18.0000 1 0 13695 60.0000 C31 S 6 NA Huntington, WV
272 1 1 Snyder, Mr. John Pillsbury male 24.0000 1 0 21228 82.2667 B45 S 7 NA Minneapolis, MN
273 1 1 Snyder, Mrs. John Pillsbury (Nelle Stevenson) female 23.0000 1 0 21228 82.2667 B45 S 7 NA Minneapolis, MN
274 1 1 Spedden, Master. Robert Douglas male 6.0000 0 2 16966 134.5000 E34 C 3 NA Tuxedo Park, NY
NA.15 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
290 1 1 Taussig, Miss. Ruth female 18.0000 0 2 110413 79.6500 E68 S 8 NA New York, NY
NA.16 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
296 1 1 Thayer, Mr. John Borland Jr male 17.0000 0 2 17421 110.8833 C70 C B NA Haverford, PA
NA.17 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
316 1 1 Willard, Miss. Constance female 21.0000 0 0 113795 26.5500 NA S 8 10 NA Duluth, MN
318 1 1 Williams, Mr. Richard Norris II male 21.0000 0 1 PC 17597 61.3792 NA C A NA Geneva, Switzerland / Radnor, PA
NA.18 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
325 2 1 Abelson, Mrs. Samuel (Hannah Wizosky) female 28.0000 1 0 P/PP 3381 24.0000 NA C 10 NA Russia New York, NY
338 2 1 Beane, Mrs. Edward (Ethel Clarke) female 19.0000 1 0 2908 26.0000 NA S 13 NA Norwich / New York, NY
340 2 1 Becker, Master. Richard F male 1.0000 2 1 230136 39.0000 F4 S 11 NA Guntur, India / Benton Harbour, MI
341 2 1 Becker, Miss. Marion Louise female 4.0000 2 1 230136 39.0000 F4 S 11 NA Guntur, India / Benton Harbour, MI
342 2 1 Becker, Miss. Ruth Elizabeth female 12.0000 2 1 230136 39.0000 F4 S 13 NA Guntur, India / Benton Harbour, MI
345 2 1 Bentham, Miss. Lilian W female 19.0000 0 0 28404 13.0000 NA S 12 NA Rochester, NY
350 2 1 Brown, Miss. Amelia “Mildred” female 24.0000 0 0 248733 13.0000 F33 S 11 NA London / Montreal, PQ
351 2 1 Brown, Miss. Edith Eileen female 15.0000 0 2 29750 39.0000 NA S 14 NA Cape Town, South Africa / Seattle, WA
354 2 1 Bryhl, Miss. Dagmar Jenny Ingeborg female 20.0000 1 0 236853 26.0000 NA S 12 NA Skara, Sweden / Rockford, IL
360 2 1 Caldwell, Master. Alden Gates male 0.8333 0 2 248738 29.0000 NA S 13 NA Bangkok, Thailand / Roseville, IL
361 2 1 Caldwell, Mr. Albert Francis male 26.0000 1 1 248738 29.0000 NA S 13 NA Bangkok, Thailand / Roseville, IL
362 2 1 Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh) female 22.0000 1 1 248738 29.0000 NA S 13 NA Bangkok, Thailand / Roseville, IL
371 2 1 Christy, Miss. Julie Rachel female 25.0000 1 1 237789 30.0000 NA S 12 NA London
374 2 1 Clarke, Mrs. Charles V (Ada Maria Winfield) female 28.0000 1 0 2003 26.0000 NA S 14 NA England / San Francisco, CA
377 2 1 Collett, Mr. Sidney C Stuart male 24.0000 0 0 28034 10.5000 NA S 9 NA London / Fort Byron, NY
378 2 1 Collyer, Miss. Marjorie “Lottie” female 8.0000 0 2 C.A. 31921 26.2500 NA S 14 NA Bishopstoke, Hants / Fayette Valley, ID
381 2 1 Cook, Mrs. (Selena Rogers) female 22.0000 0 0 W./C. 14266 10.5000 F33 S 14 NA Pennsylvania
386 2 1 Davies, Master. John Morgan Jr male 8.0000 1 1 C.A. 33112 36.7500 NA S 14 NA St Ives, Cornwall / Hancock, MI
389 2 1 Davis, Miss. Mary female 28.0000 0 0 237668 13.0000 NA S 13 NA London / Staten Island, NY
393 2 1 del Carlo, Mrs. Sebastiano (Argenia Genovesi) female 24.0000 1 0 SC/PARIS 2167 27.7208 NA C 12 NA Lucca, Italy / California
396 2 1 Doling, Miss. Elsie female 18.0000 0 1 231919 23.0000 NA S NA NA Southampton
399 2 1 Drew, Master. Marshall Brines male 8.0000 0 2 28220 32.5000 NA S 10 NA Greenport, NY
402 2 1 Duran y More, Miss. Asuncion female 27.0000 1 0 SC/PARIS 2149 13.8583 NA C 12 NA Barcelona, Spain / Havana, Cuba
403 2 1 Duran y More, Miss. Florentina female 30.0000 1 0 SC/PARIS 2148 13.8583 NA C 12 NA Barcelona, Spain / Havana, Cuba
408 2 1 Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson) female 29.0000 1 0 2926 26.0000 NA S 16 NA NA
428 2 1 Hamalainen, Master. Viljo male 0.6667 1 1 250649 14.5000 NA S 4 NA Detroit, MI
429 2 1 Hamalainen, Mrs. William (Anna) female 24.0000 0 2 250649 14.5000 NA S 4 NA Detroit, MI
431 2 1 Harper, Miss. Annie Jessie “Nina” female 6.0000 0 1 248727 33.0000 NA S 11 NA Denmark Hill, Surrey / Chicago
435 2 1 Hart, Miss. Eva Miriam female 7.0000 0 2 F.C.C. 13529 26.2500 NA S 14 NA Ilford, Essex / Winnipeg, MB
438 2 1 Herman, Miss. Alice female 24.0000 1 2 220845 65.0000 NA S 9 NA Somerset / Bernardsville, NJ
439 2 1 Herman, Miss. Kate female 24.0000 1 2 220845 65.0000 NA S 9 NA Somerset / Bernardsville, NJ
447 2 1 Hocking, Miss. Ellen “Nellie” female 20.0000 2 1 29105 23.0000 NA S 4 NA Cornwall / Akron, OH
453 2 1 Hold, Mrs. Stephen (Annie Margaret Hill) female 29.0000 1 0 26707 26.0000 NA S 10 NA England / Sacramento, CA
459 2 1 Ilett, Miss. Bertha female 17.0000 0 0 SO/C 14885 10.5000 NA S NA NA Guernsey
461 2 1 Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy) female 24.0000 2 1 243847 27.0000 NA S 12 NA London
466 2 1 Jerwan, Mrs. Amin S (Marie Marthe Thuillard) female 23.0000 0 0 SC/AH Basle 541 13.7917 D C 11 NA New York, NY
468 2 1 Kantor, Mrs. Sinai (Miriam Sternin) female 24.0000 1 0 244367 26.0000 NA S 12 NA Moscow / Bronx, NY
NA.19 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
479 2 1 Laroche, Miss. Louise female 1.0000 1 2 SC/Paris 2123 41.5792 NA C 14 NA Paris / Haiti
480 2 1 Laroche, Miss. Simonne Marie Anne Andree female 3.0000 1 2 SC/Paris 2123 41.5792 NA C 14 NA Paris / Haiti
482 2 1 Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue) female 22.0000 1 2 SC/Paris 2123 41.5792 NA C 14 NA Paris / Haiti
483 2 1 Lehmann, Miss. Bertha female 17.0000 0 0 SC 1748 12.0000 NA C 12 NA Berne, Switzerland / Central City, IA
NA.20 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
493 2 1 Mallet, Master. Andre male 1.0000 0 2 S.C./PARIS 2079 37.0042 NA C 10 NA Paris / Montreal, PQ
495 2 1 Mallet, Mrs. Albert (Antoinette Magnin) female 24.0000 1 1 S.C./PARIS 2079 37.0042 NA C 10 NA Paris / Montreal, PQ
502 2 1 Mellinger, Miss. Madeleine Violet female 13.0000 0 1 250644 19.5000 NA S 14 NA England / Bennington, VT
504 2 1 Mellors, Mr. William John male 19.0000 0 0 SW/PP 751 10.5000 NA S B NA Chelsea, London
514 2 1 Nasser, Mrs. Nicholas (Adele Achem) female 14.0000 1 0 237736 30.0708 NA C NA NA New York, NY
515 2 1 Navratil, Master. Edmond Roger male 2.0000 1 1 230080 26.0000 F2 S D NA Nice, France
516 2 1 Navratil, Master. Michel M male 3.0000 1 1 230080 26.0000 F2 S D NA Nice, France
521 2 1 Nourney, Mr. Alfred (“Baron von Drachstedt”) male 20.0000 0 0 SC/PARIS 2166 13.8625 D38 C 7 NA Cologne, Germany
522 2 1 Nye, Mrs. (Elizabeth Ramell) female 29.0000 0 0 C.A. 29395 10.5000 F33 S 11 NA Folkstone, Kent / New York, NY
524 2 1 Oxenham, Mr. Percy Thomas male 22.0000 0 0 W./C. 14260 10.5000 NA S 13 NA Pondersend, England / New Durham, NJ
NA.21 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
527 2 1 Pallas y Castello, Mr. Emilio male 29.0000 0 0 SC/PARIS 2147 13.8583 NA C 9 NA Spain / Havana, Cuba
534 2 1 Phillips, Miss. Alice Frances Louisa female 21.0000 0 1 S.O./P.P. 2 21.0000 NA S 12 NA Ilfracombe, Devon
535 2 1 Phillips, Miss. Kate Florence (“Mrs Kate Louise Phillips Marshall”) female 19.0000 0 0 250655 26.0000 NA S 11 NA Worcester, England
539 2 1 Portaluppi, Mr. Emilio Ilario Giuseppe male 30.0000 0 0 C.A. 34644 12.7375 NA C 14 NA Milford, NH
541 2 1 Quick, Miss. Phyllis May female 2.0000 1 1 26360 26.0000 NA S 11 NA Plymouth, Devon / Detroit, MI
542 2 1 Quick, Miss. Winifred Vera female 8.0000 1 1 26360 26.0000 NA S 11 NA Plymouth, Devon / Detroit, MI
546 2 1 Renouf, Mrs. Peter Henry (Lillian Jefferys) female 30.0000 3 0 31027 21.0000 NA S NA NA Elizabeth, NJ
547 2 1 Reynaldo, Ms. Encarnacion female 28.0000 0 0 230434 13.0000 NA S 9 NA Spain
549 2 1 Richards, Master. George Sibley male 0.8333 1 1 29106 18.7500 NA S 4 NA Cornwall / Akron, OH
550 2 1 Richards, Master. William Rowe male 3.0000 1 1 29106 18.7500 NA S 4 NA Cornwall / Akron, OH
551 2 1 Richards, Mrs. Sidney (Emily Hocking) female 24.0000 2 3 29106 18.7500 NA S 4 NA Cornwall / Akron, OH
554 2 1 Rugg, Miss. Emily female 21.0000 0 0 C.A. 31026 10.5000 NA S 12 NA Guernsey / Wilmington, DE
558 2 1 Shelley, Mrs. William (Imanita Parrish Hall) female 25.0000 0 1 230433 26.0000 NA S 12 NA Deer Lodge, MT
559 2 1 Silven, Miss. Lyyli Karoliina female 18.0000 0 2 250652 13.0000 NA S 16 NA Finland / Minneapolis, MN
560 2 1 Sincock, Miss. Maude female 20.0000 0 0 C.A. 33112 36.7500 NA S 11 NA Cornwall / Hancock, MI
561 2 1 Sinkkonen, Miss. Anna female 30.0000 0 0 250648 13.0000 NA S 10 NA Finland / Washington, DC
563 2 1 Slayter, Miss. Hilda Mary female 30.0000 0 0 234818 12.3500 NA Q 13 NA Halifax, NS
573 2 1 Trout, Mrs. William H (Jessie L) female 28.0000 0 0 240929 12.6500 NA S NA NA Columbus, OH
574 2 1 Troutt, Miss. Edwina Celia “Winnie” female 27.0000 0 0 34218 10.5000 E101 S 16 NA Bath, England / Massachusetts
583 2 1 Watt, Miss. Bertha J female 12.0000 0 0 C.A. 33595 15.7500 NA S 9 NA Aberdeen / Portland, OR
587 2 1 Weisz, Mrs. Leopold (Mathilde Francoise Pede) female 29.0000 1 0 228414 26.0000 NA S 10 NA Bromsgrove, England / Montreal, PQ
588 2 1 Wells, Master. Ralph Lester male 2.0000 1 1 29103 23.0000 NA S 14 NA Cornwall / Akron, OH
589 2 1 Wells, Miss. Joan female 4.0000 1 1 29103 23.0000 NA S 14 NA Cornwall / Akron, OH
590 2 1 Wells, Mrs. Arthur Henry (“Addie” Dart Trevaskis) female 29.0000 0 2 29103 23.0000 NA S 14 NA Cornwall / Akron, OH
591 2 1 West, Miss. Barbara J female 0.9167 1 2 C.A. 34651 27.7500 NA S 10 NA Bournmouth, England
592 2 1 West, Miss. Constance Mirium female 5.0000 1 2 C.A. 34651 27.7500 NA S 10 NA Bournmouth, England
NA.22 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
599 2 1 Wright, Miss. Marion female 26.0000 0 0 220844 13.5000 NA S 9 NA Yoevil, England / Cottage Grove, OR
605 3 1 Abelseth, Miss. Karen Marie female 16.0000 0 0 348125 7.6500 NA S 16 NA Norway Los Angeles, CA
606 3 1 Abelseth, Mr. Olaus Jorgensen male 25.0000 0 0 348122 7.6500 F G63 S A NA Perkins County, SD
607 3 1 Abrahamsson, Mr. Abraham August Johannes male 20.0000 0 0 SOTON/O2 3101284 7.9250 NA S 15 NA Taalintehdas, Finland Hoboken, NJ
608 3 1 Abrahim, Mrs. Joseph (Sophie Halaut Easu) female 18.0000 0 0 2657 7.2292 NA C C NA Greensburg, PA
612 3 1 Aks, Master. Philip Frank male 0.8333 0 1 392091 9.3500 NA S 11 NA London, England Norfolk, VA
613 3 1 Aks, Mrs. Sam (Leah Rosen) female 18.0000 0 1 392091 9.3500 NA S 13 NA London, England Norfolk, VA
614 3 1 Albimona, Mr. Nassef Cassem male 26.0000 0 0 2699 18.7875 NA C 15 NA Syria Fredericksburg, VA
622 3 1 Andersen-Jensen, Miss. Carla Christine Nielsine female 19.0000 1 0 350046 7.8542 NA S 16 NA NA
626 3 1 Andersson, Miss. Erna Alexandra female 17.0000 4 2 3101281 7.9250 NA S D NA Ruotsinphyhtaa, Finland New York, NY
631 3 1 Andersson, Mr. August Edvard (“Wennerstrom”) male 27.0000 0 0 350043 7.7958 NA S A NA NA
642 3 1 Asplund, Master. Edvin Rojj Felix male 3.0000 4 2 347077 31.3875 NA S 15 NA Sweden Worcester, MA
644 3 1 Asplund, Miss. Lillian Gertrud female 5.0000 4 2 347077 31.3875 NA S 15 NA Sweden Worcester, MA
646 3 1 Asplund, Mr. Johan Charles male 23.0000 0 0 350054 7.7958 NA S 13 NA Oskarshamn, Sweden Minneapolis, MN
654 3 1 Ayoub, Miss. Banoura female 13.0000 0 0 2687 7.2292 NA C C NA Syria Youngstown, OH
658 3 1 Baclini, Miss. Eugenie female 0.7500 2 1 2666 19.2583 NA C C NA Syria New York, NY
659 3 1 Baclini, Miss. Helene Barbara female 0.7500 2 1 2666 19.2583 NA C C NA Syria New York, NY
660 3 1 Baclini, Miss. Marie Catherine female 5.0000 2 1 2666 19.2583 NA C C NA Syria New York, NY
661 3 1 Baclini, Mrs. Solomon (Latifa Qurban) female 24.0000 0 3 2666 19.2583 NA C C NA Syria New York, NY
662 3 1 Badman, Miss. Emily Louisa female 18.0000 0 0 A/4 31416 8.0500 NA S C NA London Skanteales, NY
665 3 1 Barah, Mr. Hanna Assi male 20.0000 0 0 2663 7.2292 NA C 15 NA NA
687 3 1 Bradley, Miss. Bridget Delia female 22.0000 0 0 334914 7.7250 NA Q 13 NA Kingwilliamstown, Co Cork, Ireland Glens Falls, NY
694 3 1 Buckley, Mr. Daniel male 21.0000 0 0 330920 7.8208 NA Q 13 NA Kingwilliamstown, Co Cork, Ireland New York, NY
710 3 1 Carr, Miss. Helen “Ellen” female 16.0000 0 0 367231 7.7500 NA Q 16 NA Co Longford, Ireland New York, NY
720 3 1 Cohen, Mr. Gurshon “Gus” male 18.0000 0 0 A/5 3540 8.0500 NA S 12 NA London Brooklyn, NY
726 3 1 Connolly, Miss. Kate female 22.0000 0 0 370373 7.7500 NA Q 13 NA Ireland
734 3 1 Coutts, Master. Eden Leslie “Neville” male 9.0000 1 1 C.A. 37671 15.9000 NA S 2 NA England Brooklyn, NY
735 3 1 Coutts, Master. William Loch “William” male 3.0000 1 1 C.A. 37671 15.9000 NA S 2 NA England Brooklyn, NY
739 3 1 Cribb, Miss. Laura Alice female 17.0000 0 1 371362 16.1000 NA S 12 NA Bournemouth, England Newark, NJ
746 3 1 Daly, Miss. Margaret Marcella “Maggie” female 30.0000 0 0 382650 6.9500 NA Q 15 NA Co Athlone, Ireland New York, NY
747 3 1 Daly, Mr. Eugene Patrick male 29.0000 0 0 382651 7.7500 NA Q 13 15 B NA Co Athlone, Ireland New York, NY
NA.23 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
761 3 1 de Mulder, Mr. Theodore male 30.0000 0 0 345774 9.5000 NA S 11 NA Belgium Detroit, MI
763 3 1 Dean, Master. Bertram Vere male 1.0000 1 2 C.A. 2315 20.5750 NA S 10 NA Devon, England Wichita, KS
764 3 1 Dean, Miss. Elizabeth Gladys “Millvina” female 0.1667 1 2 C.A. 2315 20.5750 NA S 10 NA Devon, England Wichita, KS
772 3 1 Devaney, Miss. Margaret Delia female 19.0000 0 0 330958 7.8792 NA Q C NA Kilmacowen, Co Sligo, Ireland New York, NY
778 3 1 Dorking, Mr. Edward Arthur male 19.0000 0 0 A/5. 10482 8.0500 NA S B NA England Oglesby, IL
779 3 1 Dowdell, Miss. Elizabeth female 30.0000 0 0 364516 12.4750 NA S 13 NA Union Hill, NJ
781 3 1 Drapkin, Miss. Jennie female 23.0000 0 0 SOTON/OQ 392083 8.0500 NA S NA NA London New York, NY
784 3 1 Duquemin, Mr. Joseph male 24.0000 0 0 S.O./P.P. 752 7.5500 NA S D NA England Albion, NY
786 3 1 Dyker, Mrs. Adolf Fredrik (Anna Elisabeth Judith Andersson) female 22.0000 1 0 347072 13.9000 NA S 16 NA West Haven, CT
795 3 1 Emanuel, Miss. Virginia Ethel female 5.0000 0 0 364516 12.4750 NA S 13 NA New York, NY
NA.24 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.25 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
819 3 1 Gilnagh, Miss. Katherine “Katie” female 16.0000 0 0 35851 7.7333 NA Q 16 NA Co Longford, Ireland New York, NY
NA.26 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
821 3 1 Goldsmith, Master. Frank John William “Frankie” male 9.0000 0 2 363291 20.5250 NA S C D NA Strood, Kent, England Detroit, MI
846 3 1 Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck) female 24.0000 1 0 STON/O2. 3101279 15.8500 NA S 15 NA NA
NA.27 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
858 3 1 Hedman, Mr. Oskar Arvid male 27.0000 0 0 347089 6.9750 NA S 15 NA NA
NA.28 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
861 3 1 Heikkinen, Miss. Laina female 26.0000 0 0 STON/O2. 3101282 7.9250 NA S NA NA NA
863 3 1 Hellstrom, Miss. Hilda Maria female 22.0000 0 0 7548 8.9625 NA S C NA NA
867 3 1 Hirvonen, Miss. Hildur E female 2.0000 0 1 3101298 12.2875 NA S 15 NA NA
868 3 1 Hirvonen, Mrs. Alexander (Helga E Lindqvist) female 22.0000 1 1 3101298 12.2875 NA S 15 NA NA
871 3 1 Honkanen, Miss. Eliina female 27.0000 0 0 STON/O2. 3101283 7.9250 NA S NA NA NA
NA.29 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.30 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
881 3 1 Jalsevac, Mr. Ivan male 29.0000 0 0 349240 7.8958 NA C 15 NA NA
882 3 1 Jansson, Mr. Carl Olof male 21.0000 0 0 350034 7.7958 NA S A NA NA
NA.31 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.32 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
890 3 1 Johansson Palmquist, Mr. Oskar Leander male 26.0000 0 0 347070 7.7750 NA S 15 NA NA
895 3 1 Johnson, Master. Harold Theodor male 4.0000 1 1 347742 11.1333 NA S 15 NA NA
896 3 1 Johnson, Miss. Eleanor Ileen female 1.0000 1 1 347742 11.1333 NA S 15 NA NA
900 3 1 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0000 0 2 347742 11.1333 NA S 15 NA NA
914 3 1 Karlsson, Mr. Einar Gervasius male 21.0000 0 0 350053 7.7958 NA S 13 NA NA
917 3 1 Karun, Miss. Manca female 4.0000 0 1 349256 13.4167 NA C 15 NA NA
NA.33 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.34 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.35 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
935 3 1 Kink-Heilmann, Miss. Luise Gretchen female 4.0000 0 2 315153 22.0250 NA S 2 NA NA
936 3 1 Kink-Heilmann, Mr. Anton male 29.0000 3 1 315153 22.0250 NA S 2 NA NA
937 3 1 Kink-Heilmann, Mrs. Anton (Luise Heilmann) female 26.0000 1 1 315153 22.0250 NA S 2 NA NA
942 3 1 Krekorian, Mr. Neshan male 25.0000 0 0 2654 7.2292 F E57 C 10 NA NA
NA.36 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
948 3 1 Landergren, Miss. Aurora Adelia female 22.0000 0 0 C 7077 7.2500 NA S 13 NA NA
950 3 1 Lang, Mr. Fang male 26.0000 0 0 1601 56.4958 NA S 14 NA NA
954 3 1 Leeni, Mr. Fahim (“Philip Zenni”) male 22.0000 0 0 2620 7.2250 NA C 6 NA NA
971 3 1 Lindqvist, Mr. Eino William male 20.0000 1 0 STON/O 2. 3101285 7.9250 NA S 15 NA NA
979 3 1 Lulic, Mr. Nikola male 27.0000 0 0 315098 8.6625 NA S 15 NA NA
981 3 1 Lundin, Miss. Olga Elida female 23.0000 0 0 347469 7.8542 NA S 10 NA NA
NA.37 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
986 3 1 Madsen, Mr. Fridtjof Arne male 24.0000 0 0 C 17369 7.1417 NA S 13 NA NA
NA.38 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.39 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.40 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.41 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.42 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.43 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.44 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.45 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.46 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.47 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1008 3 1 McGowan, Miss. Anna “Annie” female 15.0000 0 0 330923 8.0292 NA Q NA NA NA
1018 3 1 Midtsjo, Mr. Karl Albert male 21.0000 0 0 345501 7.7750 NA S 15 NA NA
NA.48 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1026 3 1 Moor, Master. Meier male 6.0000 0 1 392096 12.4750 E121 S 14 NA NA
1027 3 1 Moor, Mrs. (Beila) female 27.0000 0 1 392096 12.4750 E121 S 14 NA NA
NA.49 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.50 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.51 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.52 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.53 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.54 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.55 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1041 3 1 Mulvihill, Miss. Bertha E female 24.0000 0 0 382653 7.7500 NA Q 15 NA NA
NA.56 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.57 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.58 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1048 3 1 Najib, Miss. Adele Kiamie “Jane” female 15.0000 0 0 2667 7.2250 NA C C NA NA
1049 3 1 Nakid, Miss. Maria (“Mary”) female 1.0000 0 2 2653 15.7417 NA C C NA NA
1050 3 1 Nakid, Mr. Sahid male 20.0000 1 1 2653 15.7417 NA C C NA NA
1051 3 1 Nakid, Mrs. Said (Waika “Mary” Mowad) female 19.0000 1 1 2653 15.7417 NA C C NA NA
1057 3 1 Nicola-Yarred, Master. Elias male 12.0000 1 0 2651 11.2417 NA C C NA NA
1058 3 1 Nicola-Yarred, Miss. Jamila female 14.0000 1 0 2651 11.2417 NA C C NA NA
1061 3 1 Nilsson, Miss. Berta Olivia female 18.0000 0 0 347066 7.7750 NA S D NA NA
1062 3 1 Nilsson, Miss. Helmina Josefina female 26.0000 0 0 347470 7.8542 NA S 13 NA NA
1068 3 1 Nysten, Miss. Anna Sofia female 22.0000 0 0 347081 7.7500 NA S 13 NA NA
NA.59 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.60 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.61 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1080 3 1 Ohman, Miss. Velin female 22.0000 0 0 347085 7.7750 NA S C NA NA
NA.62 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.63 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1083 3 1 Olsen, Master. Artur Karl male 9.0000 0 1 C 17368 3.1708 NA S 13 NA NA
1121 3 1 Persson, Mr. Ernst Ulrik male 25.0000 1 0 347083 7.7750 NA S 15 NA NA
NA.64 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.65 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.66 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.67 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.68 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA.69 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1183 3 1 Salkjelsvik, Miss. Anna Kristine female 21.0000 0 0 343120 7.6500 NA S C NA NA
1188 3 1 Sandstrom, Miss. Beatrice Irene female 1.0000 1 1 PP 9549 16.7000 G6 S 13 NA NA
1189 3 1 Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson) female 24.0000 0 2 PP 9549 16.7000 G6 S 13 NA NA
1190 3 1 Sandstrom, Miss. Marguerite Rut female 4.0000 1 1 PP 9549 16.7000 G6 S 13 NA NA
1191 3 1 Sap, Mr. Julius male 25.0000 0 0 345768 9.5000 NA S 11 NA NA
1197 3 1 Sheerlinck, Mr. Jan Baptist male 29.0000 0 0 345779 9.5000 NA S 11 NA NA
NA.70 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1206 3 1 Sjoblom, Miss. Anna Sofia female 18.0000 0 0 3101265 7.4958 NA S 16 NA NA
NA.71 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1224 3 1 Stanley, Miss. Amy Zillah Elsie female 23.0000 0 0 CA. 2314 7.5500 NA S C NA NA
1233 3 1 Sunderland, Mr. Victor Francis male 16.0000 0 0 SOTON/OQ 392089 8.0500 NA S B NA NA
1237 3 1 Svensson, Mr. Johan Cervin male 14.0000 0 0 7538 9.2250 NA S 13 NA NA
1239 3 1 Tenglin, Mr. Gunnar Isidor male 25.0000 0 0 350033 7.7958 NA S 13 15 NA NA
1241 3 1 Thomas, Master. Assad Alexander male 0.4167 0 1 2625 8.5167 NA C 16 NA NA
1245 3 1 Thomas, Mrs. Alexander (Thamine “Thelma”) female 16.0000 1 1 2625 8.5167 NA C 14 NA NA
NA.72 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
1255 3 1 Tornquist, Mr. William Henry male 25.0000 0 0 LINE 0.0000 NA S 15 NA NA
1257 3 1 Touma, Master. Georges Youssef male 7.0000 1 1 2650 15.2458 NA C C NA NA
1258 3 1 Touma, Miss. Maria Youssef female 9.0000 1 1 2650 15.2458 NA C C NA NA
1259 3 1 Touma, Mrs. Darwis (Hanne Youssef Razi) female 29.0000 0 2 2650 15.2458 NA C C NA NA
1261 3 1 Turja, Miss. Anna Sofia female 18.0000 0 0 4138 9.8417 NA S 15 NA NA
1278 3 1 Vartanian, Mr. David male 22.0000 0 0 2658 7.2250 NA C 13 15 NA NA
1301 3 1 Yasbeck, Mrs. Antoni (Selini Alexander) female 15.0000 1 0 2659 14.4542 NA C NA NA NA
NA.73 NA NA NA NA NA NA NA NA NA NA NA NA NA NA

Rút trích dữ liệu, sử dụng package tidyverse

# Load dplyr bằng câu lệnh'library' để rút trích dữ liệu với filter
library(dplyr)
a <- filter(d,sex=='female'&pclass==2)
# gán a để trích dữ liệu từ b với sex = female và pclass bằng 2

Dùng câu lệnh ‘select’ để lấy ra 3 cột pclass, sex, age từ b

# gán a1 vào dữ liệu được trích
a1 <- select(b,pclass,sex,age)

Thực hiện trích dữ liệu với sex = female, pclass = 2 và chỉ lấy 3 cột pclass, sex, age

# gán ab để trích dữ liệu
ab <- filter(b,sex=='female'&pclass==2) %>% select(pclass,sex,age)
str(ab)
## 'data.frame':    60 obs. of  3 variables:
##  $ pclass: num  2 2 2 2 2 2 2 2 2 2 ...
##  $ sex   : chr  "female" "female" "female" "female" ...
##  $ age   : num  28 19 4 12 19 24 15 20 22 25 ...

Tạo dữ liệu mới từ dữ liệu có sẵn

Thêm cột Price là giá của vé, được tính bằng thương của fare và ticket

d <- mutate(d,Price = d$fare / as.numeric(d$ticket))
## Warning: There was 1 warning in `mutate()`.
## ℹ In argument: `Price = d$fare/as.numeric(d$ticket)`.
## Caused by warning:
## ! NAs introduced by coercion
d
pclass survived name sex age sibsp parch ticket fare cabin embarked boat body home.dest Price
1 1 Allen, Miss. Elisabeth Walton female 29.0000 0 0 24160 211.3375 B5 S 2 NA St Louis, MO 0.0087474
1 1 Allison, Master. Hudson Trevor male 0.9167 1 2 113781 151.5500 C22 C26 S 11 NA Montreal, PQ / Chesterville, ON 0.0013319
1 0 Allison, Miss. Helen Loraine female 2.0000 1 2 113781 151.5500 C22 C26 S NA NA Montreal, PQ / Chesterville, ON 0.0013319
1 0 Allison, Mr. Hudson Joshua Creighton male 30.0000 1 2 113781 151.5500 C22 C26 S NA 135 Montreal, PQ / Chesterville, ON 0.0013319
1 0 Allison, Mrs. Hudson J C (Bessie Waldo Daniels) female 25.0000 1 2 113781 151.5500 C22 C26 S NA NA Montreal, PQ / Chesterville, ON 0.0013319
1 1 Anderson, Mr. Harry male 48.0000 0 0 19952 26.5500 E12 S 3 NA New York, NY 0.0013307
1 1 Andrews, Miss. Kornelia Theodosia female 63.0000 1 0 13502 77.9583 D7 S 10 NA Hudson, NY 0.0057738
1 0 Andrews, Mr. Thomas Jr male 39.0000 0 0 112050 0.0000 A36 S NA NA Belfast, NI 0.0000000
1 1 Appleton, Mrs. Edward Dale (Charlotte Lamson) female 53.0000 2 0 11769 51.4792 C101 S D NA Bayside, Queens, NY 0.0043741
1 0 Artagaveytia, Mr. Ramon male 71.0000 0 0 PC 17609 49.5042 NA C NA 22 Montevideo, Uruguay NA
1 0 Astor, Col. John Jacob male 47.0000 1 0 PC 17757 227.5250 C62 C64 C NA 124 New York, NY NA
1 1 Astor, Mrs. John Jacob (Madeleine Talmadge Force) female 18.0000 1 0 PC 17757 227.5250 C62 C64 C 4 NA New York, NY NA
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2 0 Harris, Mr. Walter male 30.0000 0 0 W/C 14208 10.5000 NA S NA NA Walthamstow, England NA
2 1 Hart, Miss. Eva Miriam female 7.0000 0 2 F.C.C. 13529 26.2500 NA S 14 NA Ilford, Essex / Winnipeg, MB NA
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2 1 Hart, Mrs. Benjamin (Esther Ada Bloomfield) female 45.0000 1 1 F.C.C. 13529 26.2500 NA S 14 NA Ilford, Essex / Winnipeg, MB NA
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2 0 Hickman, Mr. Lewis male 32.0000 2 0 S.O.C. 14879 73.5000 NA S NA 256 West Hampstead, London / Neepawa, MB NA
2 0 Hickman, Mr. Stanley George male 21.0000 2 0 S.O.C. 14879 73.5000 NA S NA NA West Hampstead, London / Neepawa, MB NA
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2 1 Hold, Mrs. Stephen (Annie Margaret Hill) female 29.0000 1 0 26707 26.0000 NA S 10 NA England / Sacramento, CA 0.0009735
2 0 Hood, Mr. Ambrose Jr male 21.0000 0 0 S.O.C. 14879 73.5000 NA S NA NA New Forest, England NA
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2 0 Howard, Mrs. Benjamin (Ellen Truelove Arman) female 60.0000 1 0 24065 26.0000 NA S NA NA Swindon, England 0.0010804
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2 0 Jefferys, Mr. Clifford Thomas male 24.0000 2 0 C.A. 31029 31.5000 NA S NA NA Guernsey / Elizabeth, NJ NA
2 0 Jefferys, Mr. Ernest Wilfred male 22.0000 2 0 C.A. 31029 31.5000 NA S NA NA Guernsey / Elizabeth, NJ NA
2 0 Jenkin, Mr. Stephen Curnow male 32.0000 0 0 C.A. 33111 10.5000 NA S NA NA St Ives, Cornwall / Houghton, MI NA
2 1 Jerwan, Mrs. Amin S (Marie Marthe Thuillard) female 23.0000 0 0 SC/AH Basle 541 13.7917 D C 11 NA New York, NY NA
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2 1 Kantor, Mrs. Sinai (Miriam Sternin) female 24.0000 1 0 244367 26.0000 NA S 12 NA Moscow / Bronx, NY 0.0001064
2 0 Karnes, Mrs. J Frank (Claire Bennett) female 22.0000 0 0 F.C.C. 13534 21.0000 NA S NA NA India / Pittsburgh, PA NA
2 1 Keane, Miss. Nora A female NA 0 0 226593 12.3500 E101 Q 10 NA Harrisburg, PA 0.0000545
2 0 Keane, Mr. Daniel male 35.0000 0 0 233734 12.3500 NA Q NA NA NA 0.0000528
2 1 Kelly, Mrs. Florence “Fannie” female 45.0000 0 0 223596 13.5000 NA S 9 NA London / New York, NY 0.0000604
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2 0 Knight, Mr. Robert J male NA 0 0 239855 0.0000 NA S NA NA Belfast 0.0000000
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2 0 Lahtinen, Mrs. William (Anna Sylfven) female 26.0000 1 1 250651 26.0000 NA S NA NA Minneapolis, MN 0.0001037
2 0 Lahtinen, Rev. William male 30.0000 1 1 250651 26.0000 NA S NA NA Minneapolis, MN 0.0001037
2 0 Lamb, Mr. John Joseph male NA 0 0 240261 10.7083 NA Q NA NA NA 0.0000446
2 1 Laroche, Miss. Louise female 1.0000 1 2 SC/Paris 2123 41.5792 NA C 14 NA Paris / Haiti NA
2 1 Laroche, Miss. Simonne Marie Anne Andree female 3.0000 1 2 SC/Paris 2123 41.5792 NA C 14 NA Paris / Haiti NA
2 0 Laroche, Mr. Joseph Philippe Lemercier male 25.0000 1 2 SC/Paris 2123 41.5792 NA C NA NA Paris / Haiti NA
2 1 Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue) female 22.0000 1 2 SC/Paris 2123 41.5792 NA C 14 NA Paris / Haiti NA
2 1 Lehmann, Miss. Bertha female 17.0000 0 0 SC 1748 12.0000 NA C 12 NA Berne, Switzerland / Central City, IA NA
2 1 Leitch, Miss. Jessie Wills female NA 0 0 248727 33.0000 NA S 11 NA London / Chicago, IL 0.0001327
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2 0 Leyson, Mr. Robert William Norman male 24.0000 0 0 C.A. 29566 10.5000 NA S NA 108 NA NA
2 0 Lingane, Mr. John male 61.0000 0 0 235509 12.3500 NA Q NA NA NA 0.0000524
2 0 Louch, Mr. Charles Alexander male 50.0000 1 0 SC/AH 3085 26.0000 NA S NA 121 Weston-Super-Mare, Somerset NA
2 1 Louch, Mrs. Charles Alexander (Alice Adelaide Slow) female 42.0000 1 0 SC/AH 3085 26.0000 NA S NA NA Weston-Super-Mare, Somerset NA
2 0 Mack, Mrs. (Mary) female 57.0000 0 0 S.O./P.P. 3 10.5000 E77 S NA 52 Southampton / New York, NY NA
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2 0 Mallet, Mr. Albert male 31.0000 1 1 S.C./PARIS 2079 37.0042 NA C NA NA Paris / Montreal, PQ NA
2 1 Mallet, Mrs. Albert (Antoinette Magnin) female 24.0000 1 1 S.C./PARIS 2079 37.0042 NA C 10 NA Paris / Montreal, PQ NA
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2 0 Matthews, Mr. William John male 30.0000 0 0 28228 13.0000 NA S NA NA St Austall, Cornwall 0.0004605
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2 0 McCrae, Mr. Arthur Gordon male 32.0000 0 0 237216 13.5000 NA S NA 209 Sydney, Australia 0.0000569
2 0 McCrie, Mr. James Matthew male 30.0000 0 0 233478 13.0000 NA S NA NA Sarnia, ON 0.0000557
2 0 McKane, Mr. Peter David male 46.0000 0 0 28403 26.0000 NA S NA NA Rochester, NY 0.0009154
2 1 Mellinger, Miss. Madeleine Violet female 13.0000 0 1 250644 19.5000 NA S 14 NA England / Bennington, VT 0.0000778
2 1 Mellinger, Mrs. (Elizabeth Anne Maidment) female 41.0000 0 1 250644 19.5000 NA S 14 NA England / Bennington, VT 0.0000778
2 1 Mellors, Mr. William John male 19.0000 0 0 SW/PP 751 10.5000 NA S B NA Chelsea, London NA
2 0 Meyer, Mr. August male 39.0000 0 0 248723 13.0000 NA S NA NA Harrow-on-the-Hill, Middlesex 0.0000523
2 0 Milling, Mr. Jacob Christian male 48.0000 0 0 234360 13.0000 NA S NA 271 Copenhagen, Denmark 0.0000555
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2 0 Montvila, Rev. Juozas male 27.0000 0 0 211536 13.0000 NA S NA NA Worcester, MA 0.0000615
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2 0 Mudd, Mr. Thomas Charles male 16.0000 0 0 S.O./P.P. 3 10.5000 NA S NA NA Halesworth, England NA
2 0 Myles, Mr. Thomas Francis male 62.0000 0 0 240276 9.6875 NA Q NA NA Cambridge, MA 0.0000403
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2 1 Navratil, Master. Michel M male 3.0000 1 1 230080 26.0000 F2 S D NA Nice, France 0.0001130
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2 0 Nicholls, Mr. Joseph Charles male 19.0000 1 1 C.A. 33112 36.7500 NA S NA 101 Cornwall / Hancock, MI NA
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2 1 Nye, Mrs. (Elizabeth Ramell) female 29.0000 0 0 C.A. 29395 10.5000 F33 S 11 NA Folkstone, Kent / New York, NY NA
2 0 Otter, Mr. Richard male 39.0000 0 0 28213 13.0000 NA S NA NA Middleburg Heights, OH 0.0004608
2 1 Oxenham, Mr. Percy Thomas male 22.0000 0 0 W./C. 14260 10.5000 NA S 13 NA Pondersend, England / New Durham, NJ NA
2 1 Padro y Manent, Mr. Julian male NA 0 0 SC/PARIS 2146 13.8625 NA C 9 NA Spain / Havana, Cuba NA
2 0 Pain, Dr. Alfred male 23.0000 0 0 244278 10.5000 NA S NA NA Hamilton, ON 0.0000430
2 1 Pallas y Castello, Mr. Emilio male 29.0000 0 0 SC/PARIS 2147 13.8583 NA C 9 NA Spain / Havana, Cuba NA
2 0 Parker, Mr. Clifford Richard male 28.0000 0 0 SC 14888 10.5000 NA S NA NA St Andrews, Guernsey NA
2 0 Parkes, Mr. Francis “Frank” male NA 0 0 239853 0.0000 NA S NA NA Belfast 0.0000000
2 1 Parrish, Mrs. (Lutie Davis) female 50.0000 0 1 230433 26.0000 NA S 12 NA Woodford County, KY 0.0001128
2 0 Pengelly, Mr. Frederick William male 19.0000 0 0 28665 10.5000 NA S NA NA Gunnislake, England / Butte, MT 0.0003663
2 0 Pernot, Mr. Rene male NA 0 0 SC/PARIS 2131 15.0500 NA C NA NA NA NA
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2 1 Phillips, Miss. Kate Florence (“Mrs Kate Louise Phillips Marshall”) female 19.0000 0 0 250655 26.0000 NA S 11 NA Worcester, England 0.0001037
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2 1 Pinsky, Mrs. (Rosa) female 32.0000 0 0 234604 13.0000 NA S 9 NA Russia 0.0000554
2 0 Ponesell, Mr. Martin male 34.0000 0 0 250647 13.0000 NA S NA NA Denmark / New York, NY 0.0000519
2 1 Portaluppi, Mr. Emilio Ilario Giuseppe male 30.0000 0 0 C.A. 34644 12.7375 NA C 14 NA Milford, NH NA
2 0 Pulbaum, Mr. Franz male 27.0000 0 0 SC/PARIS 2168 15.0333 NA C NA NA Paris NA
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2 1 Richards, Master. William Rowe male 3.0000 1 1 29106 18.7500 NA S 4 NA Cornwall / Akron, OH 0.0006442
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2 1 Ridsdale, Miss. Lucy female 50.0000 0 0 W./C. 14258 10.5000 NA S 13 NA London, England / Marietta, Ohio and Milwaukee, WI NA
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2 1 Rugg, Miss. Emily female 21.0000 0 0 C.A. 31026 10.5000 NA S 12 NA Guernsey / Wilmington, DE NA
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3 0 Zakarian, Mr. Mapriededer male 26.5000 0 0 2656 7.2250 NA C NA 304 NA 0.0027203
3 0 Zakarian, Mr. Ortin male 27.0000 0 0 2670 7.2250 NA C NA NA NA 0.0027060
3 0 Zimmerman, Mr. Leo male 29.0000 0 0 315082 7.8750 NA S NA NA NA 0.0000250
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
---
title: "Nhiệm vụ 2"
author: "ntathu"
date: "`r format(Sys.time(), '%H:%M:%S, %d - %m - %Y')`"
output:
  html_document: 
    code_download: true
    code_folding: hide
    df_print: kable
    toc_depth: 4
    toc_fload: true
    toc: true
  word_document:
    toc: true
    toc_depth: 2
  pdf_document:
    toc: true
editor_options: 
  chunk_output_type: inline
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

## R Markdown

# **Nhiệm vụ 2.1**

## Tổng quan về dữ liệu

### Nguồn dữ liệu

Bộ dữ liệu ' ADO 2022_Inflation', bao gồm nhiều biến khác nhau về sự lạm phát của các nước từ năm 2017 - 2023

Đọc dữ liệu từ file 'ADO 2022_Inflation'

Tải lên gói xlsx
```{r echo=TRUE, message=TRUE, warning=TRUE}
library(xlsx)
# Dùng câu lệnh 'read.xlsx' đọc dữ liệu từ file xlsx đưa vào R dưới dạng khung dữ liệu có tên 'dataset'

# Sử dụng 'sheetIndex = 1' để đọc trang đầu tiên. 'header = T' nếu đúng thì dòng đầu tiên được làm tên các biến
e <- read.xlsx(file.choose(), sheetIndex = 1, header = T)
e
```
### Thông tin tổng quan

Kiểm tra xem dữ liệu có phải là data frame hay không bằng hàm 'is.data.frame'
```{r echo=TRUE, message=TRUE, warning=TRUE}
is.data.frame(e)
```
RStudio trả về giá trị TRUE, vì vậy đối tượng dữ liệu là data frame

Sử dụng hàm 'name' để biết tên của các biến trong dữ liệu
```{r echo=TRUE, message=TRUE, warning=TRUE}
names(e)
```
Tên của các biến lần lượt là NA,x2017,x2018,x2019,x2020,x2021,x2022 và x2023

Thực hiện đổi tên cho các biến để thuận tiện thao tác trên dữ liệu
```{r echo=TRUE, message=TRUE, warning=TRUE}
names(e) <- c('Năm','x2017','x2018','x2019','x2020','x2021','x2022','x2023')
names(e)
```
Tên của các biến được thay đổi lần lượt là Năm,x2017,x2018,x2019,x2020,x2021,x2022 và x2023

Kiểm tra kích thước của data frame gồm bao nhiêu hàng và cột bằng cách sử dụng hàm 'dim'
```{r echo=TRUE, message=TRUE, warning=TRUE}
dim(e)
```
Vậy data frame này bao gồm 46 hàng và 8 cột

## Rút trích dữ liệu

Rút trích dữ liệu về lạm phát của các nước năm 2023.

Thực hiện rút trích các cột 'Nước' và cột '2023', giữ nguyên các quan sát
```{r echo=TRUE, message=TRUE, warning=TRUE}
# Gán dữ liệu được trích vào d1
e1 <- e[ ,c(1,7,8)]
e1
```
Dữ liệu d1 được trích ra với 46 quan sát và 3 biến với các biến Năm,x2022 và x2023

## Tạo dữ liệu mới từ dữ liệu có sẵn

```{r echo=TRUE, message=TRUE, warning=TRUE}
# Sử dụng hàm 'mutate' để tạo ra biến mới PL (Phân loại) theo điều kiện của x2020. Kết quả sẽ trả về là "T" nghĩa "Tự nhiên" hoặc "P" :"Phi mã" nếu điều kiện nhỏ hơn hoặc bằng 10 hoặc lớn hơn 10
# Dùng hàm 'ifelse' để lựa chọn phần tử có điều kiện của x2020
# load câu lệnh dplyr
library(dplyr)
e <- e %>% mutate(PL = ifelse(x2020 < 10,'T','P'))
e
```

# **Nhiệm vụ 2.2**

## Mô tả về bộ dữ liệu

Titanic dataset là bộ dữ liệu chứa thông tin về các hành khách trên con tàu RMS Titanic, con tàu bị chìm trong chuyến hành trình đầu tiên vào năm 1912 sau khi va vào một tảng băng trôi.

Thực hiện các thao tác trên bộ dữ liệu thông qua các tiêu chí là các biến của dữ liệu bao gồm:

_ **Survived**: Biến nhị phân cho biết hành khách còn sống sót (1) hay không sống sót (0)

- **Pclass**: Hạng vé của hành khách, có thể là hạng 1 (1), hạng 2 (2), hạng 3 (3)

- **Name**: Tên của hành khách

- **Sex**: Giới tính của hành khách

- **Age**: Tuổi của hành khách tính theo năm

- **SibSp**: Số anh chị em hoặc vợ/ chồng của hành khách trên tàu

- **Parch**: Số cha mẹ hoặc con cái của hành khách trên tàu

- **Ticket**: Số vé

- **Fare**: Số tiền trả cho vé

- **Cabin**: số Cabin nơi hành khách ở

- **Embarked**: Cảng hành khách lên tàu Titanic

- **Home.dest**: Địa chỉ nhà của hành khách

- **boat**: số lần tàu bị đắm chìm

- **body**: số cơ thể của hành khách không sống sót được tìm thấy

### Đọc dữ liệu từ file excel

```{r echo=TRUE, message=TRUE, warning=TRUE}
# Load gói xlsx bằng câu lệnh
library(xlsx)
# Dùng câu lệnh 'read.xlsx' đọc dữ liệu từ file xlsx đưa vào R, gán dữ liệu vào object d
d <- read.xlsx(file.choose(), sheetIndex = 1, header = T)
#'sheetIndex = 1' để đọc trang đầu tiên của file excel, 'header = T' nếu đúng thì dòng đầu tiên được làm tên các biến
d
# d được gán với 12 cột tương đương 12 biến và 1310 hàng tương đương 1310 quan sát 
```
### Thông tin tổng quan

Kiểm tra xem dữ liệu có phải là data frame hay không bằng hàm 'is.data.frame'
```{r echo=TRUE, message=TRUE, warning=TRUE}
is.data.frame(d)
# Trả về TRUE chứng tỏ d là data frame, FALSE thì ngược lại
```
RStudio trả về giá trị TRUE, vì vậy đối tượng dữ liệu là data frame

Sử dụng hàm 'names' để biết tên của các biến trong dữ liệu
```{r message=TRUE, warning=TRUE}
names(d)
```
Kiểm tra kích thước của data frame gồm bao nhiêu hàng và cột bằng cách sử dụng hàm 'dim'
```{r}
dim(d)
```
Hiển thị cấu trúc của d bằng lệnh 'str'
```{r}
str(d)
```
Kiểm tra d có chứa ô nào có chứa các giá trị còn thiếu bằng hàm 'is.na'
```{r message=TRUE, warning=TRUE}
is.na(d) #TRUE là ô thiếu giá trị, FALSE là các ô chứa giá trị
```

## Rút trích dữ liệu

Thực hiện thao tác rút trích dữ liệu 

Rút trích các cột pclass,survived,sex,age và giữ nguyên các quan sát
```{r message=TRUE, warning=TRUE}
# gán dữ liệu được trích vào c
c <- d[ ,c(1,2,4,5)]
c # dữ liệu mới được trích với 1310 quan sát và 4 biến
```
Thực hiện rút trích hành khách còn sống sót và có độ tuổi từ 30 trở lại
```{r echo=TRUE, message=TRUE, warning=TRUE}
# gán dữ liệu vào b để hiển thị 'survived' có giá trị bằng 1, và hiển thị 'age' có giá trị <= 30
b <- d[d$survived ==1 & d$age <=30.0000,]
b # dữ liệu mới bao gồm 322 quan sát với 4 biến
```
### Rút trích dữ liệu, sử dụng package tidyverse

```{r echo=TRUE, message=TRUE, warning=TRUE}
# Load dplyr bằng câu lệnh'library' để rút trích dữ liệu với filter
library(dplyr)
a <- filter(d,sex=='female'&pclass==2)
# gán a để trích dữ liệu từ b với sex = female và pclass bằng 2
```
Dùng câu lệnh 'select' để lấy ra 3 cột pclass, sex, age từ b
```{r echo=TRUE, message=TRUE, warning=TRUE}
# gán a1 vào dữ liệu được trích
a1 <- select(b,pclass,sex,age)
```
Thực hiện trích dữ liệu với sex = female, pclass = 2 và chỉ lấy 3 cột pclass, sex, age
```{r echo=TRUE, message=TRUE, warning=TRUE}
# gán ab để trích dữ liệu
ab <- filter(b,sex=='female'&pclass==2) %>% select(pclass,sex,age)
str(ab)
```
## Tạo dữ liệu mới từ dữ liệu có sẵn

Thêm cột Price là giá của vé, được tính bằng thương của fare và ticket
```{r echo=TRUE, message=TRUE, warning=TRUE}
d <- mutate(d,Price = d$fare / as.numeric(d$ticket))
d
```

