This report will analyse the data from the Surviving the Sinking of the Titanic
A. There were 2201 total number of passengers in the dataset.Following is the code I used to get the results
## Loading required package: 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
##
## Loading required package: ggvis
## Loading required package: magrittr## Class Age Sex Survive
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## 2 1 1 1 1
## 3 1 1 1 1
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## 2201 0## Source: local data frame [1 x 1]
##
## n
## 1 2201B. 0.323035 is the proportion of passengers surviving. I selected the Survive column and counted the number of survivors noted by the number 1. Then I divided by the total number of passengers.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
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## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
## 126 1 1 1 0
## 127 1 1 1 0
## 128 1 1 1 0
## 129 1 1 1 0
## 130 1 1 1 0
## 131 1 1 1 0
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## 2201 0## Source: local data frame [2 x 2]
##
## Survive == 1 n
## 1 FALSE 1490
## 2 TRUE 711Therefore the proportion of passengers surviving is: 711/2201
C. The following are the steps to calculate the proportion of passengers surviving by class: First I selected the dataset by Class and Survive. Then I grouped by Class, summarised and counted the number of survivors by class.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
## 86 1 1 1 0
## 87 1 1 1 0
## 88 1 1 1 0
## 89 1 1 1 0
## 90 1 1 1 0
## 91 1 1 1 0
## 92 1 1 1 0
## 93 1 1 1 0
## 94 1 1 1 0
## 95 1 1 1 0
## 96 1 1 1 0
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## 100 1 1 1 0
## 101 1 1 1 0
## 102 1 1 1 0
## 103 1 1 1 0
## 104 1 1 1 0
## 105 1 1 1 0
## 106 1 1 1 0
## 107 1 1 1 0
## 108 1 1 1 0
## 109 1 1 1 0
## 110 1 1 1 0
## 111 1 1 1 0
## 112 1 1 1 0
## 113 1 1 1 0
## 114 1 1 1 0
## 115 1 1 1 0
## 116 1 1 1 0
## 117 1 1 1 0
## 118 1 1 1 0
## 119 1 1 1 0
## 120 1 1 1 0
## 121 1 1 1 0
## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
## 126 1 1 1 0
## 127 1 1 1 0
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## 129 1 1 1 0
## 130 1 1 1 0
## 131 1 1 1 0
## 132 1 1 1 0
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## 134 1 1 1 0
## 135 1 1 1 0
## 136 1 1 1 0
## 137 1 1 1 0
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## 139 1 1 1 0
## 140 1 1 1 0
## 141 1 1 1 0
## 142 1 1 1 0
## 143 1 1 1 0
## 144 1 1 1 0
## 145 1 1 1 0
## 146 1 1 1 0
## 147 1 1 1 0
## 148 1 1 1 0
## 149 1 1 1 0
## 150 1 1 1 0
## 151 1 1 1 0
## 152 1 1 1 0
## 153 1 1 1 0
## 154 1 1 1 0
## 155 1 1 1 0
## 156 1 1 1 0
## 157 1 1 1 0
## 158 1 1 1 0
## 159 1 1 1 0
## 160 1 1 1 0
## 161 1 1 1 0
## 162 1 1 1 0
## 163 1 1 1 0
## 164 1 1 1 0
## 165 1 1 1 0
## 166 1 1 1 0
## 167 1 1 1 0
## 168 1 1 1 0
## 169 1 1 1 0
## 170 1 1 1 0
## 171 1 1 1 0
## 172 1 1 1 0
## 173 1 1 1 0
## 174 1 1 1 0
## 175 1 1 1 0
## 176 1 1 0 1
## 177 1 1 0 1
## 178 1 1 0 1
## 179 1 1 0 1
## 180 1 1 0 1
## 181 1 1 0 1
## 182 1 1 0 1
## 183 1 1 0 1
## 184 1 1 0 1
## 185 1 1 0 1
## 186 1 1 0 1
## 187 1 1 0 1
## 188 1 1 0 1
## 189 1 1 0 1
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## 196 1 1 0 1
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## 202 1 1 0 1
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## 210 1 1 0 1
## 211 1 1 0 1
## 212 1 1 0 1
## 213 1 1 0 1
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## 215 1 1 0 1
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## 219 1 1 0 1
## 220 1 1 0 1
## 221 1 1 0 1
## 222 1 1 0 1
## 223 1 1 0 1
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## 225 1 1 0 1
## 226 1 1 0 1
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## 228 1 1 0 1
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## 242 1 1 0 1
## 243 1 1 0 1
## 244 1 1 0 1
## 245 1 1 0 1
## 246 1 1 0 1
## 247 1 1 0 1
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## 274 1 1 0 1
## 275 1 1 0 1
## 276 1 1 0 1
## 277 1 1 0 1
## 278 1 1 0 1
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## 2201 0 0## Source: local data frame [2,201 x 2]
## Groups: Class
##
## Class Survive
## 1 1 1
## 2 1 1
## 3 1 1
## 4 1 1
## 5 1 1
## 6 1 1
## 7 1 1
## 8 1 1
## 9 1 1
## 10 1 1
## .. ... ...## Source: local data frame [4 x 2]
##
## Class count
## 1 0 885
## 2 1 325
## 3 2 285
## 4 3 706Then I filtered the data by class and survivors. Below reflects total numbers for survivors in each class.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
## 86 1 1 1 0
## 87 1 1 1 0
## 88 1 1 1 0
## 89 1 1 1 0
## 90 1 1 1 0
## 91 1 1 1 0
## 92 1 1 1 0
## 93 1 1 1 0
## 94 1 1 1 0
## 95 1 1 1 0
## 96 1 1 1 0
## 97 1 1 1 0
## 98 1 1 1 0
## 99 1 1 1 0
## 100 1 1 1 0
## 101 1 1 1 0
## 102 1 1 1 0
## 103 1 1 1 0
## 104 1 1 1 0
## 105 1 1 1 0
## 106 1 1 1 0
## 107 1 1 1 0
## 108 1 1 1 0
## 109 1 1 1 0
## 110 1 1 1 0
## 111 1 1 1 0
## 112 1 1 1 0
## 113 1 1 1 0
## 114 1 1 1 0
## 115 1 1 1 0
## 116 1 1 1 0
## 117 1 1 1 0
## 118 1 1 1 0
## 119 1 1 1 0
## 120 1 1 1 0
## 121 1 1 1 0
## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
## 126 1 1 1 0
## 127 1 1 1 0
## 128 1 1 1 0
## 129 1 1 1 0
## 130 1 1 1 0
## 131 1 1 1 0
## 132 1 1 1 0
## 133 1 1 1 0
## 134 1 1 1 0
## 135 1 1 1 0
## 136 1 1 1 0
## 137 1 1 1 0
## 138 1 1 1 0
## 139 1 1 1 0
## 140 1 1 1 0
## 141 1 1 1 0
## 142 1 1 1 0
## 143 1 1 1 0
## 144 1 1 1 0
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## 2195 0 1 0 1
## 2196 0 1 0 1
## 2197 0 1 0 1
## 2198 0 1 0 1
## 2199 0 1 0 0
## 2200 0 1 0 0
## 2201 0 1 0 0## Class Survive
## 1 3 1
## 2 3 1
## 3 3 1
## 4 3 1
## 5 3 1
## 6 3 1
## 7 3 1
## 8 3 1
## 9 3 1
## 10 3 1
## 11 3 1
## 12 3 1
## 13 3 1
## 14 3 1
## 15 3 1
## 16 3 1
## 17 3 1
## 18 3 1
## 19 3 1
## 20 3 1
## 21 3 1
## 22 3 1
## 23 3 1
## 24 3 1
## 25 3 1
## 26 3 1
## 27 3 1
## 28 3 1
## 29 3 1
## 30 3 1
## 31 3 1
## 32 3 1
## 33 3 1
## 34 3 1
## 35 3 1
## 36 3 1
## 37 3 1
## 38 3 1
## 39 3 1
## 40 3 1
## 41 3 1
## 42 3 1
## 43 3 1
## 44 3 1
## 45 3 1
## 46 3 1
## 47 3 1
## 48 3 1
## 49 3 1
## 50 3 1
## 51 3 1
## 52 3 1
## 53 3 1
## 54 3 1
## 55 3 1
## 56 3 1
## 57 3 1
## 58 3 1
## 59 3 1
## 60 3 1
## 61 3 1
## 62 3 1
## 63 3 1
## 64 3 1
## 65 3 1
## 66 3 1
## 67 3 1
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## 69 3 1
## 70 3 1
## 71 3 1
## 72 3 1
## 73 3 1
## 74 3 1
## 75 3 1
## 76 3 1
## 77 3 1
## 78 3 1
## 79 3 1
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## 81 3 1
## 82 3 1
## 83 3 1
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## 86 3 1
## 87 3 1
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## 89 3 1
## 90 3 1
## 91 3 1
## 92 3 1
## 93 3 1
## 94 3 1
## 95 3 1
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## 99 3 1
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## 101 3 1
## 102 3 1
## 103 3 1
## 104 3 1
## 105 3 1
## 106 3 1
## 107 3 1
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## 115 3 1
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## 146 3 1
## 147 3 1
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## 151 3 1
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## 159 3 1
## 160 3 1
## 161 3 1
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## 163 3 1
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## 168 3 1
## 169 3 1
## 170 3 1
## 171 3 1
## 172 3 1
## 173 3 1
## 174 3 1
## 175 3 1
## 176 3 1
## 177 3 1
## 178 3 1## count
## 1 178For Class 3, there are 178 surviving passengers.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
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## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
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## 79 1 1 1 0
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## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
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## 93 1 1 1 0
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## 129 1 1 1 0
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## 146 1 1 1 0
## 147 1 1 1 0
## 148 1 1 1 0
## 149 1 1 1 0
## 150 1 1 1 0
## 151 1 1 1 0
## 152 1 1 1 0
## 153 1 1 1 0
## 154 1 1 1 0
## 155 1 1 1 0
## 156 1 1 1 0
## 157 1 1 1 0
## 158 1 1 1 0
## 159 1 1 1 0
## 160 1 1 1 0
## 161 1 1 1 0
## 162 1 1 1 0
## 163 1 1 1 0
## 164 1 1 1 0
## 165 1 1 1 0
## 166 1 1 1 0
## 167 1 1 1 0
## 168 1 1 1 0
## 169 1 1 1 0
## 170 1 1 1 0
## 171 1 1 1 0
## 172 1 1 1 0
## 173 1 1 1 0
## 174 1 1 1 0
## 175 1 1 1 0
## 176 1 1 0 1
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## 179 1 1 0 1
## 180 1 1 0 1
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## 182 1 1 0 1
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## 220 1 1 0 1
## 221 1 1 0 1
## 222 1 1 0 1
## 223 1 1 0 1
## 224 1 1 0 1
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## 319 1 1 0 0
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## 1945 0 1 1 0
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## 1954 0 1 1 0
## 1955 0 1 1 0
## 1956 0 1 1 0
## 1957 0 1 1 0
## 1958 0 1 1 0
## 1959 0 1 1 0
## 1960 0 1 1 0
## 1961 0 1 1 0
## 1962 0 1 1 0
## 1963 0 1 1 0
## 1964 0 1 1 0
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## 1969 0 1 1 0
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## 1975 0 1 1 0
## 1976 0 1 1 0
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## 1979 0 1 1 0
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## 1990 0 1 1 0
## 1991 0 1 1 0
## 1992 0 1 1 0
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## 1996 0 1 1 0
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## 2002 0 1 1 0
## 2003 0 1 1 0
## 2004 0 1 1 0
## 2005 0 1 1 0
## 2006 0 1 1 0
## 2007 0 1 1 0
## 2008 0 1 1 0
## 2009 0 1 1 0
## 2010 0 1 1 0
## 2011 0 1 1 0
## 2012 0 1 1 0
## 2013 0 1 1 0
## 2014 0 1 1 0
## 2015 0 1 1 0
## 2016 0 1 1 0
## 2017 0 1 1 0
## 2018 0 1 1 0
## 2019 0 1 1 0
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## 2119 0 1 1 0
## 2120 0 1 1 0
## 2121 0 1 1 0
## 2122 0 1 1 0
## 2123 0 1 1 0
## 2124 0 1 1 0
## 2125 0 1 1 0
## 2126 0 1 1 0
## 2127 0 1 1 0
## 2128 0 1 1 0
## 2129 0 1 1 0
## 2130 0 1 1 0
## 2131 0 1 1 0
## 2132 0 1 1 0
## 2133 0 1 1 0
## 2134 0 1 1 0
## 2135 0 1 1 0
## 2136 0 1 1 0
## 2137 0 1 1 0
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## 2139 0 1 1 0
## 2140 0 1 1 0
## 2141 0 1 1 0
## 2142 0 1 1 0
## 2143 0 1 1 0
## 2144 0 1 1 0
## 2145 0 1 1 0
## 2146 0 1 1 0
## 2147 0 1 1 0
## 2148 0 1 1 0
## 2149 0 1 1 0
## 2150 0 1 1 0
## 2151 0 1 1 0
## 2152 0 1 1 0
## 2153 0 1 1 0
## 2154 0 1 1 0
## 2155 0 1 1 0
## 2156 0 1 1 0
## 2157 0 1 1 0
## 2158 0 1 1 0
## 2159 0 1 1 0
## 2160 0 1 1 0
## 2161 0 1 1 0
## 2162 0 1 1 0
## 2163 0 1 1 0
## 2164 0 1 1 0
## 2165 0 1 1 0
## 2166 0 1 1 0
## 2167 0 1 1 0
## 2168 0 1 1 0
## 2169 0 1 1 0
## 2170 0 1 1 0
## 2171 0 1 1 0
## 2172 0 1 1 0
## 2173 0 1 1 0
## 2174 0 1 1 0
## 2175 0 1 1 0
## 2176 0 1 1 0
## 2177 0 1 1 0
## 2178 0 1 1 0
## 2179 0 1 0 1
## 2180 0 1 0 1
## 2181 0 1 0 1
## 2182 0 1 0 1
## 2183 0 1 0 1
## 2184 0 1 0 1
## 2185 0 1 0 1
## 2186 0 1 0 1
## 2187 0 1 0 1
## 2188 0 1 0 1
## 2189 0 1 0 1
## 2190 0 1 0 1
## 2191 0 1 0 1
## 2192 0 1 0 1
## 2193 0 1 0 1
## 2194 0 1 0 1
## 2195 0 1 0 1
## 2196 0 1 0 1
## 2197 0 1 0 1
## 2198 0 1 0 1
## 2199 0 1 0 0
## 2200 0 1 0 0
## 2201 0 1 0 0## Class Survive
## 1 2 1
## 2 2 1
## 3 2 1
## 4 2 1
## 5 2 1
## 6 2 1
## 7 2 1
## 8 2 1
## 9 2 1
## 10 2 1
## 11 2 1
## 12 2 1
## 13 2 1
## 14 2 1
## 15 2 1
## 16 2 1
## 17 2 1
## 18 2 1
## 19 2 1
## 20 2 1
## 21 2 1
## 22 2 1
## 23 2 1
## 24 2 1
## 25 2 1
## 26 2 1
## 27 2 1
## 28 2 1
## 29 2 1
## 30 2 1
## 31 2 1
## 32 2 1
## 33 2 1
## 34 2 1
## 35 2 1
## 36 2 1
## 37 2 1
## 38 2 1
## 39 2 1
## 40 2 1
## 41 2 1
## 42 2 1
## 43 2 1
## 44 2 1
## 45 2 1
## 46 2 1
## 47 2 1
## 48 2 1
## 49 2 1
## 50 2 1
## 51 2 1
## 52 2 1
## 53 2 1
## 54 2 1
## 55 2 1
## 56 2 1
## 57 2 1
## 58 2 1
## 59 2 1
## 60 2 1
## 61 2 1
## 62 2 1
## 63 2 1
## 64 2 1
## 65 2 1
## 66 2 1
## 67 2 1
## 68 2 1
## 69 2 1
## 70 2 1
## 71 2 1
## 72 2 1
## 73 2 1
## 74 2 1
## 75 2 1
## 76 2 1
## 77 2 1
## 78 2 1
## 79 2 1
## 80 2 1
## 81 2 1
## 82 2 1
## 83 2 1
## 84 2 1
## 85 2 1
## 86 2 1
## 87 2 1
## 88 2 1
## 89 2 1
## 90 2 1
## 91 2 1
## 92 2 1
## 93 2 1
## 94 2 1
## 95 2 1
## 96 2 1
## 97 2 1
## 98 2 1
## 99 2 1
## 100 2 1
## 101 2 1
## 102 2 1
## 103 2 1
## 104 2 1
## 105 2 1
## 106 2 1
## 107 2 1
## 108 2 1
## 109 2 1
## 110 2 1
## 111 2 1
## 112 2 1
## 113 2 1
## 114 2 1
## 115 2 1
## 116 2 1
## 117 2 1
## 118 2 1## count
## 1 118For Class 2, there are 118 surviving passengers.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
## 86 1 1 1 0
## 87 1 1 1 0
## 88 1 1 1 0
## 89 1 1 1 0
## 90 1 1 1 0
## 91 1 1 1 0
## 92 1 1 1 0
## 93 1 1 1 0
## 94 1 1 1 0
## 95 1 1 1 0
## 96 1 1 1 0
## 97 1 1 1 0
## 98 1 1 1 0
## 99 1 1 1 0
## 100 1 1 1 0
## 101 1 1 1 0
## 102 1 1 1 0
## 103 1 1 1 0
## 104 1 1 1 0
## 105 1 1 1 0
## 106 1 1 1 0
## 107 1 1 1 0
## 108 1 1 1 0
## 109 1 1 1 0
## 110 1 1 1 0
## 111 1 1 1 0
## 112 1 1 1 0
## 113 1 1 1 0
## 114 1 1 1 0
## 115 1 1 1 0
## 116 1 1 1 0
## 117 1 1 1 0
## 118 1 1 1 0
## 119 1 1 1 0
## 120 1 1 1 0
## 121 1 1 1 0
## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
## 126 1 1 1 0
## 127 1 1 1 0
## 128 1 1 1 0
## 129 1 1 1 0
## 130 1 1 1 0
## 131 1 1 1 0
## 132 1 1 1 0
## 133 1 1 1 0
## 134 1 1 1 0
## 135 1 1 1 0
## 136 1 1 1 0
## 137 1 1 1 0
## 138 1 1 1 0
## 139 1 1 1 0
## 140 1 1 1 0
## 141 1 1 1 0
## 142 1 1 1 0
## 143 1 1 1 0
## 144 1 1 1 0
## 145 1 1 1 0
## 146 1 1 1 0
## 147 1 1 1 0
## 148 1 1 1 0
## 149 1 1 1 0
## 150 1 1 1 0
## 151 1 1 1 0
## 152 1 1 1 0
## 153 1 1 1 0
## 154 1 1 1 0
## 155 1 1 1 0
## 156 1 1 1 0
## 157 1 1 1 0
## 158 1 1 1 0
## 159 1 1 1 0
## 160 1 1 1 0
## 161 1 1 1 0
## 162 1 1 1 0
## 163 1 1 1 0
## 164 1 1 1 0
## 165 1 1 1 0
## 166 1 1 1 0
## 167 1 1 1 0
## 168 1 1 1 0
## 169 1 1 1 0
## 170 1 1 1 0
## 171 1 1 1 0
## 172 1 1 1 0
## 173 1 1 1 0
## 174 1 1 1 0
## 175 1 1 1 0
## 176 1 1 0 1
## 177 1 1 0 1
## 178 1 1 0 1
## 179 1 1 0 1
## 180 1 1 0 1
## 181 1 1 0 1
## 182 1 1 0 1
## 183 1 1 0 1
## 184 1 1 0 1
## 185 1 1 0 1
## 186 1 1 0 1
## 187 1 1 0 1
## 188 1 1 0 1
## 189 1 1 0 1
## 190 1 1 0 1
## 191 1 1 0 1
## 192 1 1 0 1
## 193 1 1 0 1
## 194 1 1 0 1
## 195 1 1 0 1
## 196 1 1 0 1
## 197 1 1 0 1
## 198 1 1 0 1
## 199 1 1 0 1
## 200 1 1 0 1
## 201 1 1 0 1
## 202 1 1 0 1
## 203 1 1 0 1
## 204 1 1 0 1
## 205 1 1 0 1
## 206 1 1 0 1
## 207 1 1 0 1
## 208 1 1 0 1
## 209 1 1 0 1
## 210 1 1 0 1
## 211 1 1 0 1
## 212 1 1 0 1
## 213 1 1 0 1
## 214 1 1 0 1
## 215 1 1 0 1
## 216 1 1 0 1
## 217 1 1 0 1
## 218 1 1 0 1
## 219 1 1 0 1
## 220 1 1 0 1
## 221 1 1 0 1
## 222 1 1 0 1
## 223 1 1 0 1
## 224 1 1 0 1
## 225 1 1 0 1
## 226 1 1 0 1
## 227 1 1 0 1
## 228 1 1 0 1
## 229 1 1 0 1
## 230 1 1 0 1
## 231 1 1 0 1
## 232 1 1 0 1
## 233 1 1 0 1
## 234 1 1 0 1
## 235 1 1 0 1
## 236 1 1 0 1
## 237 1 1 0 1
## 238 1 1 0 1
## 239 1 1 0 1
## 240 1 1 0 1
## 241 1 1 0 1
## 242 1 1 0 1
## 243 1 1 0 1
## 244 1 1 0 1
## 245 1 1 0 1
## 246 1 1 0 1
## 247 1 1 0 1
## 248 1 1 0 1
## 249 1 1 0 1
## 250 1 1 0 1
## 251 1 1 0 1
## 252 1 1 0 1
## 253 1 1 0 1
## 254 1 1 0 1
## 255 1 1 0 1
## 256 1 1 0 1
## 257 1 1 0 1
## 258 1 1 0 1
## 259 1 1 0 1
## 260 1 1 0 1
## 261 1 1 0 1
## 262 1 1 0 1
## 263 1 1 0 1
## 264 1 1 0 1
## 265 1 1 0 1
## 266 1 1 0 1
## 267 1 1 0 1
## 268 1 1 0 1
## 269 1 1 0 1
## 270 1 1 0 1
## 271 1 1 0 1
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## 2149 0 1 1 0
## 2150 0 1 1 0
## 2151 0 1 1 0
## 2152 0 1 1 0
## 2153 0 1 1 0
## 2154 0 1 1 0
## 2155 0 1 1 0
## 2156 0 1 1 0
## 2157 0 1 1 0
## 2158 0 1 1 0
## 2159 0 1 1 0
## 2160 0 1 1 0
## 2161 0 1 1 0
## 2162 0 1 1 0
## 2163 0 1 1 0
## 2164 0 1 1 0
## 2165 0 1 1 0
## 2166 0 1 1 0
## 2167 0 1 1 0
## 2168 0 1 1 0
## 2169 0 1 1 0
## 2170 0 1 1 0
## 2171 0 1 1 0
## 2172 0 1 1 0
## 2173 0 1 1 0
## 2174 0 1 1 0
## 2175 0 1 1 0
## 2176 0 1 1 0
## 2177 0 1 1 0
## 2178 0 1 1 0
## 2179 0 1 0 1
## 2180 0 1 0 1
## 2181 0 1 0 1
## 2182 0 1 0 1
## 2183 0 1 0 1
## 2184 0 1 0 1
## 2185 0 1 0 1
## 2186 0 1 0 1
## 2187 0 1 0 1
## 2188 0 1 0 1
## 2189 0 1 0 1
## 2190 0 1 0 1
## 2191 0 1 0 1
## 2192 0 1 0 1
## 2193 0 1 0 1
## 2194 0 1 0 1
## 2195 0 1 0 1
## 2196 0 1 0 1
## 2197 0 1 0 1
## 2198 0 1 0 1
## 2199 0 1 0 0
## 2200 0 1 0 0
## 2201 0 1 0 0## Class Survive
## 1 1 1
## 2 1 1
## 3 1 1
## 4 1 1
## 5 1 1
## 6 1 1
## 7 1 1
## 8 1 1
## 9 1 1
## 10 1 1
## 11 1 1
## 12 1 1
## 13 1 1
## 14 1 1
## 15 1 1
## 16 1 1
## 17 1 1
## 18 1 1
## 19 1 1
## 20 1 1
## 21 1 1
## 22 1 1
## 23 1 1
## 24 1 1
## 25 1 1
## 26 1 1
## 27 1 1
## 28 1 1
## 29 1 1
## 30 1 1
## 31 1 1
## 32 1 1
## 33 1 1
## 34 1 1
## 35 1 1
## 36 1 1
## 37 1 1
## 38 1 1
## 39 1 1
## 40 1 1
## 41 1 1
## 42 1 1
## 43 1 1
## 44 1 1
## 45 1 1
## 46 1 1
## 47 1 1
## 48 1 1
## 49 1 1
## 50 1 1
## 51 1 1
## 52 1 1
## 53 1 1
## 54 1 1
## 55 1 1
## 56 1 1
## 57 1 1
## 58 1 1
## 59 1 1
## 60 1 1
## 61 1 1
## 62 1 1
## 63 1 1
## 64 1 1
## 65 1 1
## 66 1 1
## 67 1 1
## 68 1 1
## 69 1 1
## 70 1 1
## 71 1 1
## 72 1 1
## 73 1 1
## 74 1 1
## 75 1 1
## 76 1 1
## 77 1 1
## 78 1 1
## 79 1 1
## 80 1 1
## 81 1 1
## 82 1 1
## 83 1 1
## 84 1 1
## 85 1 1
## 86 1 1
## 87 1 1
## 88 1 1
## 89 1 1
## 90 1 1
## 91 1 1
## 92 1 1
## 93 1 1
## 94 1 1
## 95 1 1
## 96 1 1
## 97 1 1
## 98 1 1
## 99 1 1
## 100 1 1
## 101 1 1
## 102 1 1
## 103 1 1
## 104 1 1
## 105 1 1
## 106 1 1
## 107 1 1
## 108 1 1
## 109 1 1
## 110 1 1
## 111 1 1
## 112 1 1
## 113 1 1
## 114 1 1
## 115 1 1
## 116 1 1
## 117 1 1
## 118 1 1
## 119 1 1
## 120 1 1
## 121 1 1
## 122 1 1
## 123 1 1
## 124 1 1
## 125 1 1
## 126 1 1
## 127 1 1
## 128 1 1
## 129 1 1
## 130 1 1
## 131 1 1
## 132 1 1
## 133 1 1
## 134 1 1
## 135 1 1
## 136 1 1
## 137 1 1
## 138 1 1
## 139 1 1
## 140 1 1
## 141 1 1
## 142 1 1
## 143 1 1
## 144 1 1
## 145 1 1
## 146 1 1
## 147 1 1
## 148 1 1
## 149 1 1
## 150 1 1
## 151 1 1
## 152 1 1
## 153 1 1
## 154 1 1
## 155 1 1
## 156 1 1
## 157 1 1
## 158 1 1
## 159 1 1
## 160 1 1
## 161 1 1
## 162 1 1
## 163 1 1
## 164 1 1
## 165 1 1
## 166 1 1
## 167 1 1
## 168 1 1
## 169 1 1
## 170 1 1
## 171 1 1
## 172 1 1
## 173 1 1
## 174 1 1
## 175 1 1
## 176 1 1
## 177 1 1
## 178 1 1
## 179 1 1
## 180 1 1
## 181 1 1
## 182 1 1
## 183 1 1
## 184 1 1
## 185 1 1
## 186 1 1
## 187 1 1
## 188 1 1
## 189 1 1
## 190 1 1
## 191 1 1
## 192 1 1
## 193 1 1
## 194 1 1
## 195 1 1
## 196 1 1
## 197 1 1
## 198 1 1
## 199 1 1
## 200 1 1
## 201 1 1
## 202 1 1
## 203 1 1## count
## 1 203For Class 1, there are 203 surviving passengers.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
## 86 1 1 1 0
## 87 1 1 1 0
## 88 1 1 1 0
## 89 1 1 1 0
## 90 1 1 1 0
## 91 1 1 1 0
## 92 1 1 1 0
## 93 1 1 1 0
## 94 1 1 1 0
## 95 1 1 1 0
## 96 1 1 1 0
## 97 1 1 1 0
## 98 1 1 1 0
## 99 1 1 1 0
## 100 1 1 1 0
## 101 1 1 1 0
## 102 1 1 1 0
## 103 1 1 1 0
## 104 1 1 1 0
## 105 1 1 1 0
## 106 1 1 1 0
## 107 1 1 1 0
## 108 1 1 1 0
## 109 1 1 1 0
## 110 1 1 1 0
## 111 1 1 1 0
## 112 1 1 1 0
## 113 1 1 1 0
## 114 1 1 1 0
## 115 1 1 1 0
## 116 1 1 1 0
## 117 1 1 1 0
## 118 1 1 1 0
## 119 1 1 1 0
## 120 1 1 1 0
## 121 1 1 1 0
## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
## 126 1 1 1 0
## 127 1 1 1 0
## 128 1 1 1 0
## 129 1 1 1 0
## 130 1 1 1 0
## 131 1 1 1 0
## 132 1 1 1 0
## 133 1 1 1 0
## 134 1 1 1 0
## 135 1 1 1 0
## 136 1 1 1 0
## 137 1 1 1 0
## 138 1 1 1 0
## 139 1 1 1 0
## 140 1 1 1 0
## 141 1 1 1 0
## 142 1 1 1 0
## 143 1 1 1 0
## 144 1 1 1 0
## 145 1 1 1 0
## 146 1 1 1 0
## 147 1 1 1 0
## 148 1 1 1 0
## 149 1 1 1 0
## 150 1 1 1 0
## 151 1 1 1 0
## 152 1 1 1 0
## 153 1 1 1 0
## 154 1 1 1 0
## 155 1 1 1 0
## 156 1 1 1 0
## 157 1 1 1 0
## 158 1 1 1 0
## 159 1 1 1 0
## 160 1 1 1 0
## 161 1 1 1 0
## 162 1 1 1 0
## 163 1 1 1 0
## 164 1 1 1 0
## 165 1 1 1 0
## 166 1 1 1 0
## 167 1 1 1 0
## 168 1 1 1 0
## 169 1 1 1 0
## 170 1 1 1 0
## 171 1 1 1 0
## 172 1 1 1 0
## 173 1 1 1 0
## 174 1 1 1 0
## 175 1 1 1 0
## 176 1 1 0 1
## 177 1 1 0 1
## 178 1 1 0 1
## 179 1 1 0 1
## 180 1 1 0 1
## 181 1 1 0 1
## 182 1 1 0 1
## 183 1 1 0 1
## 184 1 1 0 1
## 185 1 1 0 1
## 186 1 1 0 1
## 187 1 1 0 1
## 188 1 1 0 1
## 189 1 1 0 1
## 190 1 1 0 1
## 191 1 1 0 1
## 192 1 1 0 1
## 193 1 1 0 1
## 194 1 1 0 1
## 195 1 1 0 1
## 196 1 1 0 1
## 197 1 1 0 1
## 198 1 1 0 1
## 199 1 1 0 1
## 200 1 1 0 1
## 201 1 1 0 1
## 202 1 1 0 1
## 203 1 1 0 1
## 204 1 1 0 1
## 205 1 1 0 1
## 206 1 1 0 1
## 207 1 1 0 1
## 208 1 1 0 1
## 209 1 1 0 1
## 210 1 1 0 1
## 211 1 1 0 1
## 212 1 1 0 1
## 213 1 1 0 1
## 214 1 1 0 1
## 215 1 1 0 1
## 216 1 1 0 1
## 217 1 1 0 1
## 218 1 1 0 1
## 219 1 1 0 1
## 220 1 1 0 1
## 221 1 1 0 1
## 222 1 1 0 1
## 223 1 1 0 1
## 224 1 1 0 1
## 225 1 1 0 1
## 226 1 1 0 1
## 227 1 1 0 1
## 228 1 1 0 1
## 229 1 1 0 1
## 230 1 1 0 1
## 231 1 1 0 1
## 232 1 1 0 1
## 233 1 1 0 1
## 234 1 1 0 1
## 235 1 1 0 1
## 236 1 1 0 1
## 237 1 1 0 1
## 238 1 1 0 1
## 239 1 1 0 1
## 240 1 1 0 1
## 241 1 1 0 1
## 242 1 1 0 1
## 243 1 1 0 1
## 244 1 1 0 1
## 245 1 1 0 1
## 246 1 1 0 1
## 247 1 1 0 1
## 248 1 1 0 1
## 249 1 1 0 1
## 250 1 1 0 1
## 251 1 1 0 1
## 252 1 1 0 1
## 253 1 1 0 1
## 254 1 1 0 1
## 255 1 1 0 1
## 256 1 1 0 1
## 257 1 1 0 1
## 258 1 1 0 1
## 259 1 1 0 1
## 260 1 1 0 1
## 261 1 1 0 1
## 262 1 1 0 1
## 263 1 1 0 1
## 264 1 1 0 1
## 265 1 1 0 1
## 266 1 1 0 1
## 267 1 1 0 1
## 268 1 1 0 1
## 269 1 1 0 1
## 270 1 1 0 1
## 271 1 1 0 1
## 272 1 1 0 1
## 273 1 1 0 1
## 274 1 1 0 1
## 275 1 1 0 1
## 276 1 1 0 1
## 277 1 1 0 1
## 278 1 1 0 1
## 279 1 1 0 1
## 280 1 1 0 1
## 281 1 1 0 1
## 282 1 1 0 1
## 283 1 1 0 1
## 284 1 1 0 1
## 285 1 1 0 1
## 286 1 1 0 1
## 287 1 1 0 1
## 288 1 1 0 1
## 289 1 1 0 1
## 290 1 1 0 1
## 291 1 1 0 1
## 292 1 1 0 1
## 293 1 1 0 1
## 294 1 1 0 1
## 295 1 1 0 1
## 296 1 1 0 1
## 297 1 1 0 1
## 298 1 1 0 1
## 299 1 1 0 1
## 300 1 1 0 1
## 301 1 1 0 1
## 302 1 1 0 1
## 303 1 1 0 1
## 304 1 1 0 1
## 305 1 1 0 1
## 306 1 1 0 1
## 307 1 1 0 1
## 308 1 1 0 1
## 309 1 1 0 1
## 310 1 1 0 1
## 311 1 1 0 1
## 312 1 1 0 1
## 313 1 1 0 1
## 314 1 1 0 1
## 315 1 1 0 1
## 316 1 1 0 0
## 317 1 1 0 0
## 318 1 1 0 0
## 319 1 1 0 0
## 320 1 0 1 1
## 321 1 0 1 1
## 322 1 0 1 1
## 323 1 0 1 1
## 324 1 0 1 1
## 325 1 0 0 1
## 326 2 1 1 1
## 327 2 1 1 1
## 328 2 1 1 1
## 329 2 1 1 1
## 330 2 1 1 1
## 331 2 1 1 1
## 332 2 1 1 1
## 333 2 1 1 1
## 334 2 1 1 1
## 335 2 1 1 1
## 336 2 1 1 1
## 337 2 1 1 1
## 338 2 1 1 1
## 339 2 1 1 1
## 340 2 1 1 0
## 341 2 1 1 0
## 342 2 1 1 0
## 343 2 1 1 0
## 344 2 1 1 0
## 345 2 1 1 0
## 346 2 1 1 0
## 347 2 1 1 0
## 348 2 1 1 0
## 349 2 1 1 0
## 350 2 1 1 0
## 351 2 1 1 0
## 352 2 1 1 0
## 353 2 1 1 0
## 354 2 1 1 0
## 355 2 1 1 0
## 356 2 1 1 0
## 357 2 1 1 0
## 358 2 1 1 0
## 359 2 1 1 0
## 360 2 1 1 0
## 361 2 1 1 0
## 362 2 1 1 0
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## 364 2 1 1 0
## 365 2 1 1 0
## 366 2 1 1 0
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## 368 2 1 1 0
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## 372 2 1 1 0
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## 376 2 1 1 0
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## 380 2 1 1 0
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## 386 2 1 1 0
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## 390 2 1 1 0
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## 450 2 1 1 0
## 451 2 1 1 0
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## 494 2 1 0 1
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## 1822 0 1 1 0
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## 1860 0 1 1 0
## 1861 0 1 1 0
## 1862 0 1 1 0
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## 1888 0 1 1 0
## 1889 0 1 1 0
## 1890 0 1 1 0
## 1891 0 1 1 0
## 1892 0 1 1 0
## 1893 0 1 1 0
## 1894 0 1 1 0
## 1895 0 1 1 0
## 1896 0 1 1 0
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## 1898 0 1 1 0
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## 1902 0 1 1 0
## 1903 0 1 1 0
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## 1913 0 1 1 0
## 1914 0 1 1 0
## 1915 0 1 1 0
## 1916 0 1 1 0
## 1917 0 1 1 0
## 1918 0 1 1 0
## 1919 0 1 1 0
## 1920 0 1 1 0
## 1921 0 1 1 0
## 1922 0 1 1 0
## 1923 0 1 1 0
## 1924 0 1 1 0
## 1925 0 1 1 0
## 1926 0 1 1 0
## 1927 0 1 1 0
## 1928 0 1 1 0
## 1929 0 1 1 0
## 1930 0 1 1 0
## 1931 0 1 1 0
## 1932 0 1 1 0
## 1933 0 1 1 0
## 1934 0 1 1 0
## 1935 0 1 1 0
## 1936 0 1 1 0
## 1937 0 1 1 0
## 1938 0 1 1 0
## 1939 0 1 1 0
## 1940 0 1 1 0
## 1941 0 1 1 0
## 1942 0 1 1 0
## 1943 0 1 1 0
## 1944 0 1 1 0
## 1945 0 1 1 0
## 1946 0 1 1 0
## 1947 0 1 1 0
## 1948 0 1 1 0
## 1949 0 1 1 0
## 1950 0 1 1 0
## 1951 0 1 1 0
## 1952 0 1 1 0
## 1953 0 1 1 0
## 1954 0 1 1 0
## 1955 0 1 1 0
## 1956 0 1 1 0
## 1957 0 1 1 0
## 1958 0 1 1 0
## 1959 0 1 1 0
## 1960 0 1 1 0
## 1961 0 1 1 0
## 1962 0 1 1 0
## 1963 0 1 1 0
## 1964 0 1 1 0
## 1965 0 1 1 0
## 1966 0 1 1 0
## 1967 0 1 1 0
## 1968 0 1 1 0
## 1969 0 1 1 0
## 1970 0 1 1 0
## 1971 0 1 1 0
## 1972 0 1 1 0
## 1973 0 1 1 0
## 1974 0 1 1 0
## 1975 0 1 1 0
## 1976 0 1 1 0
## 1977 0 1 1 0
## 1978 0 1 1 0
## 1979 0 1 1 0
## 1980 0 1 1 0
## 1981 0 1 1 0
## 1982 0 1 1 0
## 1983 0 1 1 0
## 1984 0 1 1 0
## 1985 0 1 1 0
## 1986 0 1 1 0
## 1987 0 1 1 0
## 1988 0 1 1 0
## 1989 0 1 1 0
## 1990 0 1 1 0
## 1991 0 1 1 0
## 1992 0 1 1 0
## 1993 0 1 1 0
## 1994 0 1 1 0
## 1995 0 1 1 0
## 1996 0 1 1 0
## 1997 0 1 1 0
## 1998 0 1 1 0
## 1999 0 1 1 0
## 2000 0 1 1 0
## 2001 0 1 1 0
## 2002 0 1 1 0
## 2003 0 1 1 0
## 2004 0 1 1 0
## 2005 0 1 1 0
## 2006 0 1 1 0
## 2007 0 1 1 0
## 2008 0 1 1 0
## 2009 0 1 1 0
## 2010 0 1 1 0
## 2011 0 1 1 0
## 2012 0 1 1 0
## 2013 0 1 1 0
## 2014 0 1 1 0
## 2015 0 1 1 0
## 2016 0 1 1 0
## 2017 0 1 1 0
## 2018 0 1 1 0
## 2019 0 1 1 0
## 2020 0 1 1 0
## 2021 0 1 1 0
## 2022 0 1 1 0
## 2023 0 1 1 0
## 2024 0 1 1 0
## 2025 0 1 1 0
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## 2027 0 1 1 0
## 2028 0 1 1 0
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## 2100 0 1 1 0
## 2101 0 1 1 0
## 2102 0 1 1 0
## 2103 0 1 1 0
## 2104 0 1 1 0
## 2105 0 1 1 0
## 2106 0 1 1 0
## 2107 0 1 1 0
## 2108 0 1 1 0
## 2109 0 1 1 0
## 2110 0 1 1 0
## 2111 0 1 1 0
## 2112 0 1 1 0
## 2113 0 1 1 0
## 2114 0 1 1 0
## 2115 0 1 1 0
## 2116 0 1 1 0
## 2117 0 1 1 0
## 2118 0 1 1 0
## 2119 0 1 1 0
## 2120 0 1 1 0
## 2121 0 1 1 0
## 2122 0 1 1 0
## 2123 0 1 1 0
## 2124 0 1 1 0
## 2125 0 1 1 0
## 2126 0 1 1 0
## 2127 0 1 1 0
## 2128 0 1 1 0
## 2129 0 1 1 0
## 2130 0 1 1 0
## 2131 0 1 1 0
## 2132 0 1 1 0
## 2133 0 1 1 0
## 2134 0 1 1 0
## 2135 0 1 1 0
## 2136 0 1 1 0
## 2137 0 1 1 0
## 2138 0 1 1 0
## 2139 0 1 1 0
## 2140 0 1 1 0
## 2141 0 1 1 0
## 2142 0 1 1 0
## 2143 0 1 1 0
## 2144 0 1 1 0
## 2145 0 1 1 0
## 2146 0 1 1 0
## 2147 0 1 1 0
## 2148 0 1 1 0
## 2149 0 1 1 0
## 2150 0 1 1 0
## 2151 0 1 1 0
## 2152 0 1 1 0
## 2153 0 1 1 0
## 2154 0 1 1 0
## 2155 0 1 1 0
## 2156 0 1 1 0
## 2157 0 1 1 0
## 2158 0 1 1 0
## 2159 0 1 1 0
## 2160 0 1 1 0
## 2161 0 1 1 0
## 2162 0 1 1 0
## 2163 0 1 1 0
## 2164 0 1 1 0
## 2165 0 1 1 0
## 2166 0 1 1 0
## 2167 0 1 1 0
## 2168 0 1 1 0
## 2169 0 1 1 0
## 2170 0 1 1 0
## 2171 0 1 1 0
## 2172 0 1 1 0
## 2173 0 1 1 0
## 2174 0 1 1 0
## 2175 0 1 1 0
## 2176 0 1 1 0
## 2177 0 1 1 0
## 2178 0 1 1 0
## 2179 0 1 0 1
## 2180 0 1 0 1
## 2181 0 1 0 1
## 2182 0 1 0 1
## 2183 0 1 0 1
## 2184 0 1 0 1
## 2185 0 1 0 1
## 2186 0 1 0 1
## 2187 0 1 0 1
## 2188 0 1 0 1
## 2189 0 1 0 1
## 2190 0 1 0 1
## 2191 0 1 0 1
## 2192 0 1 0 1
## 2193 0 1 0 1
## 2194 0 1 0 1
## 2195 0 1 0 1
## 2196 0 1 0 1
## 2197 0 1 0 1
## 2198 0 1 0 1
## 2199 0 1 0 0
## 2200 0 1 0 0
## 2201 0 1 0 0## count
## 1 212For Class 0, there are 212 surviving passendgers.
After finding the number of surviving passengers for each class I divided those numbers by the total number of passengers in the specific class to find the proportion. Class 3
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
## 86 1 1 1 0
## 87 1 1 1 0
## 88 1 1 1 0
## 89 1 1 1 0
## 90 1 1 1 0
## 91 1 1 1 0
## 92 1 1 1 0
## 93 1 1 1 0
## 94 1 1 1 0
## 95 1 1 1 0
## 96 1 1 1 0
## 97 1 1 1 0
## 98 1 1 1 0
## 99 1 1 1 0
## 100 1 1 1 0
## 101 1 1 1 0
## 102 1 1 1 0
## 103 1 1 1 0
## 104 1 1 1 0
## 105 1 1 1 0
## 106 1 1 1 0
## 107 1 1 1 0
## 108 1 1 1 0
## 109 1 1 1 0
## 110 1 1 1 0
## 111 1 1 1 0
## 112 1 1 1 0
## 113 1 1 1 0
## 114 1 1 1 0
## 115 1 1 1 0
## 116 1 1 1 0
## 117 1 1 1 0
## 118 1 1 1 0
## 119 1 1 1 0
## 120 1 1 1 0
## 121 1 1 1 0
## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
## 126 1 1 1 0
## 127 1 1 1 0
## 128 1 1 1 0
## 129 1 1 1 0
## 130 1 1 1 0
## 131 1 1 1 0
## 132 1 1 1 0
## 133 1 1 1 0
## 134 1 1 1 0
## 135 1 1 1 0
## 136 1 1 1 0
## 137 1 1 1 0
## 138 1 1 1 0
## 139 1 1 1 0
## 140 1 1 1 0
## 141 1 1 1 0
## 142 1 1 1 0
## 143 1 1 1 0
## 144 1 1 1 0
## 145 1 1 1 0
## 146 1 1 1 0
## 147 1 1 1 0
## 148 1 1 1 0
## 149 1 1 1 0
## 150 1 1 1 0
## 151 1 1 1 0
## 152 1 1 1 0
## 153 1 1 1 0
## 154 1 1 1 0
## 155 1 1 1 0
## 156 1 1 1 0
## 157 1 1 1 0
## 158 1 1 1 0
## 159 1 1 1 0
## 160 1 1 1 0
## 161 1 1 1 0
## 162 1 1 1 0
## 163 1 1 1 0
## 164 1 1 1 0
## 165 1 1 1 0
## 166 1 1 1 0
## 167 1 1 1 0
## 168 1 1 1 0
## 169 1 1 1 0
## 170 1 1 1 0
## 171 1 1 1 0
## 172 1 1 1 0
## 173 1 1 1 0
## 174 1 1 1 0
## 175 1 1 1 0
## 176 1 1 0 1
## 177 1 1 0 1
## 178 1 1 0 1
## 179 1 1 0 1
## 180 1 1 0 1
## 181 1 1 0 1
## 182 1 1 0 1
## 183 1 1 0 1
## 184 1 1 0 1
## 185 1 1 0 1
## 186 1 1 0 1
## 187 1 1 0 1
## 188 1 1 0 1
## 189 1 1 0 1
## 190 1 1 0 1
## 191 1 1 0 1
## 192 1 1 0 1
## 193 1 1 0 1
## 194 1 1 0 1
## 195 1 1 0 1
## 196 1 1 0 1
## 197 1 1 0 1
## 198 1 1 0 1
## 199 1 1 0 1
## 200 1 1 0 1
## 201 1 1 0 1
## 202 1 1 0 1
## 203 1 1 0 1
## 204 1 1 0 1
## 205 1 1 0 1
## 206 1 1 0 1
## 207 1 1 0 1
## 208 1 1 0 1
## 209 1 1 0 1
## 210 1 1 0 1
## 211 1 1 0 1
## 212 1 1 0 1
## 213 1 1 0 1
## 214 1 1 0 1
## 215 1 1 0 1
## 216 1 1 0 1
## 217 1 1 0 1
## 218 1 1 0 1
## 219 1 1 0 1
## 220 1 1 0 1
## 221 1 1 0 1
## 222 1 1 0 1
## 223 1 1 0 1
## 224 1 1 0 1
## 225 1 1 0 1
## 226 1 1 0 1
## 227 1 1 0 1
## 228 1 1 0 1
## 229 1 1 0 1
## 230 1 1 0 1
## 231 1 1 0 1
## 232 1 1 0 1
## 233 1 1 0 1
## 234 1 1 0 1
## 235 1 1 0 1
## 236 1 1 0 1
## 237 1 1 0 1
## 238 1 1 0 1
## 239 1 1 0 1
## 240 1 1 0 1
## 241 1 1 0 1
## 242 1 1 0 1
## 243 1 1 0 1
## 244 1 1 0 1
## 245 1 1 0 1
## 246 1 1 0 1
## 247 1 1 0 1
## 248 1 1 0 1
## 249 1 1 0 1
## 250 1 1 0 1
## 251 1 1 0 1
## 252 1 1 0 1
## 253 1 1 0 1
## 254 1 1 0 1
## 255 1 1 0 1
## 256 1 1 0 1
## 257 1 1 0 1
## 258 1 1 0 1
## 259 1 1 0 1
## 260 1 1 0 1
## 261 1 1 0 1
## 262 1 1 0 1
## 263 1 1 0 1
## 264 1 1 0 1
## 265 1 1 0 1
## 266 1 1 0 1
## 267 1 1 0 1
## 268 1 1 0 1
## 269 1 1 0 1
## 270 1 1 0 1
## 271 1 1 0 1
## 272 1 1 0 1
## 273 1 1 0 1
## 274 1 1 0 1
## 275 1 1 0 1
## 276 1 1 0 1
## 277 1 1 0 1
## 278 1 1 0 1
## 279 1 1 0 1
## 280 1 1 0 1
## 281 1 1 0 1
## 282 1 1 0 1
## 283 1 1 0 1
## 284 1 1 0 1
## 285 1 1 0 1
## 286 1 1 0 1
## 287 1 1 0 1
## 288 1 1 0 1
## 289 1 1 0 1
## 290 1 1 0 1
## 291 1 1 0 1
## 292 1 1 0 1
## 293 1 1 0 1
## 294 1 1 0 1
## 295 1 1 0 1
## 296 1 1 0 1
## 297 1 1 0 1
## 298 1 1 0 1
## 299 1 1 0 1
## 300 1 1 0 1
## 301 1 1 0 1
## 302 1 1 0 1
## 303 1 1 0 1
## 304 1 1 0 1
## 305 1 1 0 1
## 306 1 1 0 1
## 307 1 1 0 1
## 308 1 1 0 1
## 309 1 1 0 1
## 310 1 1 0 1
## 311 1 1 0 1
## 312 1 1 0 1
## 313 1 1 0 1
## 314 1 1 0 1
## 315 1 1 0 1
## 316 1 1 0 0
## 317 1 1 0 0
## 318 1 1 0 0
## 319 1 1 0 0
## 320 1 0 1 1
## 321 1 0 1 1
## 322 1 0 1 1
## 323 1 0 1 1
## 324 1 0 1 1
## 325 1 0 0 1
## 326 2 1 1 1
## 327 2 1 1 1
## 328 2 1 1 1
## 329 2 1 1 1
## 330 2 1 1 1
## 331 2 1 1 1
## 332 2 1 1 1
## 333 2 1 1 1
## 334 2 1 1 1
## 335 2 1 1 1
## 336 2 1 1 1
## 337 2 1 1 1
## 338 2 1 1 1
## 339 2 1 1 1
## 340 2 1 1 0
## 341 2 1 1 0
## 342 2 1 1 0
## 343 2 1 1 0
## 344 2 1 1 0
## 345 2 1 1 0
## 346 2 1 1 0
## 347 2 1 1 0
## 348 2 1 1 0
## 349 2 1 1 0
## 350 2 1 1 0
## 351 2 1 1 0
## 352 2 1 1 0
## 353 2 1 1 0
## 354 2 1 1 0
## 355 2 1 1 0
## 356 2 1 1 0
## 357 2 1 1 0
## 358 2 1 1 0
## 359 2 1 1 0
## 360 2 1 1 0
## 361 2 1 1 0
## 362 2 1 1 0
## 363 2 1 1 0
## 364 2 1 1 0
## 365 2 1 1 0
## 366 2 1 1 0
## 367 2 1 1 0
## 368 2 1 1 0
## 369 2 1 1 0
## 370 2 1 1 0
## 371 2 1 1 0
## 372 2 1 1 0
## 373 2 1 1 0
## 374 2 1 1 0
## 375 2 1 1 0
## 376 2 1 1 0
## 377 2 1 1 0
## 378 2 1 1 0
## 379 2 1 1 0
## 380 2 1 1 0
## 381 2 1 1 0
## 382 2 1 1 0
## 383 2 1 1 0
## 384 2 1 1 0
## 385 2 1 1 0
## 386 2 1 1 0
## 387 2 1 1 0
## 388 2 1 1 0
## 389 2 1 1 0
## 390 2 1 1 0
## 391 2 1 1 0
## 392 2 1 1 0
## 393 2 1 1 0
## 394 2 1 1 0
## 395 2 1 1 0
## 396 2 1 1 0
## 397 2 1 1 0
## 398 2 1 1 0
## 399 2 1 1 0
## 400 2 1 1 0
## 401 2 1 1 0
## 402 2 1 1 0
## 403 2 1 1 0
## 404 2 1 1 0
## 405 2 1 1 0
## 406 2 1 1 0
## 407 2 1 1 0
## 408 2 1 1 0
## 409 2 1 1 0
## 410 2 1 1 0
## 411 2 1 1 0
## 412 2 1 1 0
## 413 2 1 1 0
## 414 2 1 1 0
## 415 2 1 1 0
## 416 2 1 1 0
## 417 2 1 1 0
## 418 2 1 1 0
## 419 2 1 1 0
## 420 2 1 1 0
## 421 2 1 1 0
## 422 2 1 1 0
## 423 2 1 1 0
## 424 2 1 1 0
## 425 2 1 1 0
## 426 2 1 1 0
## 427 2 1 1 0
## 428 2 1 1 0
## 429 2 1 1 0
## 430 2 1 1 0
## 431 2 1 1 0
## 432 2 1 1 0
## 433 2 1 1 0
## 434 2 1 1 0
## 435 2 1 1 0
## 436 2 1 1 0
## 437 2 1 1 0
## 438 2 1 1 0
## 439 2 1 1 0
## 440 2 1 1 0
## 441 2 1 1 0
## 442 2 1 1 0
## 443 2 1 1 0
## 444 2 1 1 0
## 445 2 1 1 0
## 446 2 1 1 0
## 447 2 1 1 0
## 448 2 1 1 0
## 449 2 1 1 0
## 450 2 1 1 0
## 451 2 1 1 0
## 452 2 1 1 0
## 453 2 1 1 0
## 454 2 1 1 0
## 455 2 1 1 0
## 456 2 1 1 0
## 457 2 1 1 0
## 458 2 1 1 0
## 459 2 1 1 0
## 460 2 1 1 0
## 461 2 1 1 0
## 462 2 1 1 0
## 463 2 1 1 0
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## 2201 0 1 0 0## count
## 1 0.2521246Class 2
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
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## 90 1 1 1 0
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## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
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## 2201 0 1 0 0## count
## 1 0.6246154Class 0
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
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## 12 1 1 1 1
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## 19 1 1 1 1
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## 22 1 1 1 1
## 23 1 1 1 1
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## 26 1 1 1 1
## 27 1 1 1 1
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## 37 1 1 1 1
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## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
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## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
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## 56 1 1 1 1
## 57 1 1 1 1
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## 2201 0 1 0 0## count
## 1 0.239548D. The following are the steps to calculate the proportion of passengers surviving for each sex category. Which sex had the highest survival rate? First I selected the dataset by Sex and Survive. Then I grouped by Sex and counted the total number of passengers by sex
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
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## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
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## 2201 0 0## Source: local data frame [2,201 x 2]
## Groups: Sex
##
## Sex Survive
## 1 1 1
## 2 1 1
## 3 1 1
## 4 1 1
## 5 1 1
## 6 1 1
## 7 1 1
## 8 1 1
## 9 1 1
## 10 1 1
## .. ... ...## Source: local data frame [2 x 2]
##
## Sex count
## 1 0 470
## 2 1 1731Next, I filtered the data by the sex of the surviving passengers and divided by total number for passengers for that specific sex.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
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## 2201 0 1 0 0## Source: local data frame [711 x 2]
## Groups: Sex
##
## Sex Survive
## 1 1 1
## 2 1 1
## 3 1 1
## 4 1 1
## 5 1 1
## 6 1 1
## 7 1 1
## 8 1 1
## 9 1 1
## 10 1 1
## .. ... ...## Source: local data frame [2 x 2]
##
## Sex count
## 1 0 344
## 2 1 367## [1] 0.2120162## [1] 0.7319149There were 367 males who survived, the proportion = 0.2120. There were 344 females who survived, the proportion = 0.7319. Therefore the females had the highest survival rate.
E. Below is the calculations for each age category. There were 654 adults (0.3126) and 57 (0.5229358) children that survived. Therefore the adults had the lowest survival rate.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
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## 26 1 1 1 1
## 27 1 1 1 1
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## 39 1 1 1 1
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## 2199 1 0
## 2200 1 0
## 2201 1 0## count
## 1 2092## count
## 1 109## count
## 1 654## count
## 1 57## count
## 1 0.3126195## count
## 1 0.5229358F. Calculation for surviving passengers based on age and sex.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
## 86 1 1 1 0
## 87 1 1 1 0
## 88 1 1 1 0
## 89 1 1 1 0
## 90 1 1 1 0
## 91 1 1 1 0
## 92 1 1 1 0
## 93 1 1 1 0
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## 95 1 1 1 0
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## 100 1 1 1 0
## 101 1 1 1 0
## 102 1 1 1 0
## 103 1 1 1 0
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## 105 1 1 1 0
## 106 1 1 1 0
## 107 1 1 1 0
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## 109 1 1 1 0
## 110 1 1 1 0
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## 112 1 1 1 0
## 113 1 1 1 0
## 114 1 1 1 0
## 115 1 1 1 0
## 116 1 1 1 0
## 117 1 1 1 0
## 118 1 1 1 0
## 119 1 1 1 0
## 120 1 1 1 0
## 121 1 1 1 0
## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
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## 128 1 1 1 0
## 129 1 1 1 0
## 130 1 1 1 0
## 131 1 1 1 0
## 132 1 1 1 0
## 133 1 1 1 0
## 134 1 1 1 0
## 135 1 1 1 0
## 136 1 1 1 0
## 137 1 1 1 0
## 138 1 1 1 0
## 139 1 1 1 0
## 140 1 1 1 0
## 141 1 1 1 0
## 142 1 1 1 0
## 143 1 1 1 0
## 144 1 1 1 0
## 145 1 1 1 0
## 146 1 1 1 0
## 147 1 1 1 0
## 148 1 1 1 0
## 149 1 1 1 0
## 150 1 1 1 0
## 151 1 1 1 0
## 152 1 1 1 0
## 153 1 1 1 0
## 154 1 1 1 0
## 155 1 1 1 0
## 156 1 1 1 0
## 157 1 1 1 0
## 158 1 1 1 0
## 159 1 1 1 0
## 160 1 1 1 0
## 161 1 1 1 0
## 162 1 1 1 0
## 163 1 1 1 0
## 164 1 1 1 0
## 165 1 1 1 0
## 166 1 1 1 0
## 167 1 1 1 0
## 168 1 1 1 0
## 169 1 1 1 0
## 170 1 1 1 0
## 171 1 1 1 0
## 172 1 1 1 0
## 173 1 1 1 0
## 174 1 1 1 0
## 175 1 1 1 0
## 176 1 1 0 1
## 177 1 1 0 1
## 178 1 1 0 1
## 179 1 1 0 1
## 180 1 1 0 1
## 181 1 1 0 1
## 182 1 1 0 1
## 183 1 1 0 1
## 184 1 1 0 1
## 185 1 1 0 1
## 186 1 1 0 1
## 187 1 1 0 1
## 188 1 1 0 1
## 189 1 1 0 1
## 190 1 1 0 1
## 191 1 1 0 1
## 192 1 1 0 1
## 193 1 1 0 1
## 194 1 1 0 1
## 195 1 1 0 1
## 196 1 1 0 1
## 197 1 1 0 1
## 198 1 1 0 1
## 199 1 1 0 1
## 200 1 1 0 1
## 201 1 1 0 1
## 202 1 1 0 1
## 203 1 1 0 1
## 204 1 1 0 1
## 205 1 1 0 1
## 206 1 1 0 1
## 207 1 1 0 1
## 208 1 1 0 1
## 209 1 1 0 1
## 210 1 1 0 1
## 211 1 1 0 1
## 212 1 1 0 1
## 213 1 1 0 1
## 214 1 1 0 1
## 215 1 1 0 1
## 216 1 1 0 1
## 217 1 1 0 1
## 218 1 1 0 1
## 219 1 1 0 1
## 220 1 1 0 1
## 221 1 1 0 1
## 222 1 1 0 1
## 223 1 1 0 1
## 224 1 1 0 1
## 225 1 1 0 1
## 226 1 1 0 1
## 227 1 1 0 1
## 228 1 1 0 1
## 229 1 1 0 1
## 230 1 1 0 1
## 231 1 1 0 1
## 232 1 1 0 1
## 233 1 1 0 1
## 234 1 1 0 1
## 235 1 1 0 1
## 236 1 1 0 1
## 237 1 1 0 1
## 238 1 1 0 1
## 239 1 1 0 1
## 240 1 1 0 1
## 241 1 1 0 1
## 242 1 1 0 1
## 243 1 1 0 1
## 244 1 1 0 1
## 245 1 1 0 1
## 246 1 1 0 1
## 247 1 1 0 1
## 248 1 1 0 1
## 249 1 1 0 1
## 250 1 1 0 1
## 251 1 1 0 1
## 252 1 1 0 1
## 253 1 1 0 1
## 254 1 1 0 1
## 255 1 1 0 1
## 256 1 1 0 1
## 257 1 1 0 1
## 258 1 1 0 1
## 259 1 1 0 1
## 260 1 1 0 1
## 261 1 1 0 1
## 262 1 1 0 1
## 263 1 1 0 1
## 264 1 1 0 1
## 265 1 1 0 1
## 266 1 1 0 1
## 267 1 1 0 1
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## 270 1 1 0 1
## 271 1 1 0 1
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## 275 1 1 0 1
## 276 1 1 0 1
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## 281 1 1 0 1
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## 301 1 1 0 1
## 302 1 1 0 1
## 303 1 1 0 1
## 304 1 1 0 1
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## 306 1 1 0 1
## 307 1 1 0 1
## 308 1 1 0 1
## 309 1 1 0 1
## 310 1 1 0 1
## 311 1 1 0 1
## 312 1 1 0 1
## 313 1 1 0 1
## 314 1 1 0 1
## 315 1 1 0 1
## 316 1 1 0 0
## 317 1 1 0 0
## 318 1 1 0 0
## 319 1 1 0 0
## 320 1 0 1 1
## 321 1 0 1 1
## 322 1 0 1 1
## 323 1 0 1 1
## 324 1 0 1 1
## 325 1 0 0 1
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## 449 2 1 1 0
## 450 2 1 1 0
## 451 2 1 1 0
## 452 2 1 1 0
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## 454 2 1 1 0
## 455 2 1 1 0
## 456 2 1 1 0
## 457 2 1 1 0
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## 461 2 1 1 0
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## 463 2 1 1 0
## 464 2 1 1 0
## 465 2 1 1 0
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## 470 2 1 1 0
## 471 2 1 1 0
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## 473 2 1 1 0
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## 486 2 1 1 0
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## 492 2 1 1 0
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## 494 2 1 0 1
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## 499 2 1 0 1
## 500 2 1 0 1
## 501 2 1 0 1
## 502 2 1 0 1
## 503 2 1 0 1
## 504 2 1 0 1
## 505 2 1 0 1
## 506 2 1 0 1
## 507 2 1 0 1
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## 338 1 1 1## count
## 1 338There were 338 adult males that survived.The proportion of adult males that survived is 0.2028.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
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## 1953 0 1 1 0
## 1954 0 1 1 0
## 1955 0 1 1 0
## 1956 0 1 1 0
## 1957 0 1 1 0
## 1958 0 1 1 0
## 1959 0 1 1 0
## 1960 0 1 1 0
## 1961 0 1 1 0
## 1962 0 1 1 0
## 1963 0 1 1 0
## 1964 0 1 1 0
## 1965 0 1 1 0
## 1966 0 1 1 0
## 1967 0 1 1 0
## 1968 0 1 1 0
## 1969 0 1 1 0
## 1970 0 1 1 0
## 1971 0 1 1 0
## 1972 0 1 1 0
## 1973 0 1 1 0
## 1974 0 1 1 0
## 1975 0 1 1 0
## 1976 0 1 1 0
## 1977 0 1 1 0
## 1978 0 1 1 0
## 1979 0 1 1 0
## 1980 0 1 1 0
## 1981 0 1 1 0
## 1982 0 1 1 0
## 1983 0 1 1 0
## 1984 0 1 1 0
## 1985 0 1 1 0
## 1986 0 1 1 0
## 1987 0 1 1 0
## 1988 0 1 1 0
## 1989 0 1 1 0
## 1990 0 1 1 0
## 1991 0 1 1 0
## 1992 0 1 1 0
## 1993 0 1 1 0
## 1994 0 1 1 0
## 1995 0 1 1 0
## 1996 0 1 1 0
## 1997 0 1 1 0
## 1998 0 1 1 0
## 1999 0 1 1 0
## 2000 0 1 1 0
## 2001 0 1 1 0
## 2002 0 1 1 0
## 2003 0 1 1 0
## 2004 0 1 1 0
## 2005 0 1 1 0
## 2006 0 1 1 0
## 2007 0 1 1 0
## 2008 0 1 1 0
## 2009 0 1 1 0
## 2010 0 1 1 0
## 2011 0 1 1 0
## 2012 0 1 1 0
## 2013 0 1 1 0
## 2014 0 1 1 0
## 2015 0 1 1 0
## 2016 0 1 1 0
## 2017 0 1 1 0
## 2018 0 1 1 0
## 2019 0 1 1 0
## 2020 0 1 1 0
## 2021 0 1 1 0
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## 2200 0 1 0 0
## 2201 0 1 0 0## count
## 1 29There were 29 child males that survived. The proportion of child males that survived is 0.4531.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
## 86 1 1 1 0
## 87 1 1 1 0
## 88 1 1 1 0
## 89 1 1 1 0
## 90 1 1 1 0
## 91 1 1 1 0
## 92 1 1 1 0
## 93 1 1 1 0
## 94 1 1 1 0
## 95 1 1 1 0
## 96 1 1 1 0
## 97 1 1 1 0
## 98 1 1 1 0
## 99 1 1 1 0
## 100 1 1 1 0
## 101 1 1 1 0
## 102 1 1 1 0
## 103 1 1 1 0
## 104 1 1 1 0
## 105 1 1 1 0
## 106 1 1 1 0
## 107 1 1 1 0
## 108 1 1 1 0
## 109 1 1 1 0
## 110 1 1 1 0
## 111 1 1 1 0
## 112 1 1 1 0
## 113 1 1 1 0
## 114 1 1 1 0
## 115 1 1 1 0
## 116 1 1 1 0
## 117 1 1 1 0
## 118 1 1 1 0
## 119 1 1 1 0
## 120 1 1 1 0
## 121 1 1 1 0
## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
## 126 1 1 1 0
## 127 1 1 1 0
## 128 1 1 1 0
## 129 1 1 1 0
## 130 1 1 1 0
## 131 1 1 1 0
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## 134 1 1 1 0
## 135 1 1 1 0
## 136 1 1 1 0
## 137 1 1 1 0
## 138 1 1 1 0
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## 140 1 1 1 0
## 141 1 1 1 0
## 142 1 1 1 0
## 143 1 1 1 0
## 144 1 1 1 0
## 145 1 1 1 0
## 146 1 1 1 0
## 147 1 1 1 0
## 148 1 1 1 0
## 149 1 1 1 0
## 150 1 1 1 0
## 151 1 1 1 0
## 152 1 1 1 0
## 153 1 1 1 0
## 154 1 1 1 0
## 155 1 1 1 0
## 156 1 1 1 0
## 157 1 1 1 0
## 158 1 1 1 0
## 159 1 1 1 0
## 160 1 1 1 0
## 161 1 1 1 0
## 162 1 1 1 0
## 163 1 1 1 0
## 164 1 1 1 0
## 165 1 1 1 0
## 166 1 1 1 0
## 167 1 1 1 0
## 168 1 1 1 0
## 169 1 1 1 0
## 170 1 1 1 0
## 171 1 1 1 0
## 172 1 1 1 0
## 173 1 1 1 0
## 174 1 1 1 0
## 175 1 1 1 0
## 176 1 1 0 1
## 177 1 1 0 1
## 178 1 1 0 1
## 179 1 1 0 1
## 180 1 1 0 1
## 181 1 1 0 1
## 182 1 1 0 1
## 183 1 1 0 1
## 184 1 1 0 1
## 185 1 1 0 1
## 186 1 1 0 1
## 187 1 1 0 1
## 188 1 1 0 1
## 189 1 1 0 1
## 190 1 1 0 1
## 191 1 1 0 1
## 192 1 1 0 1
## 193 1 1 0 1
## 194 1 1 0 1
## 195 1 1 0 1
## 196 1 1 0 1
## 197 1 1 0 1
## 198 1 1 0 1
## 199 1 1 0 1
## 200 1 1 0 1
## 201 1 1 0 1
## 202 1 1 0 1
## 203 1 1 0 1
## 204 1 1 0 1
## 205 1 1 0 1
## 206 1 1 0 1
## 207 1 1 0 1
## 208 1 1 0 1
## 209 1 1 0 1
## 210 1 1 0 1
## 211 1 1 0 1
## 212 1 1 0 1
## 213 1 1 0 1
## 214 1 1 0 1
## 215 1 1 0 1
## 216 1 1 0 1
## 217 1 1 0 1
## 218 1 1 0 1
## 219 1 1 0 1
## 220 1 1 0 1
## 221 1 1 0 1
## 222 1 1 0 1
## 223 1 1 0 1
## 224 1 1 0 1
## 225 1 1 0 1
## 226 1 1 0 1
## 227 1 1 0 1
## 228 1 1 0 1
## 229 1 1 0 1
## 230 1 1 0 1
## 231 1 1 0 1
## 232 1 1 0 1
## 233 1 1 0 1
## 234 1 1 0 1
## 235 1 1 0 1
## 236 1 1 0 1
## 237 1 1 0 1
## 238 1 1 0 1
## 239 1 1 0 1
## 240 1 1 0 1
## 241 1 1 0 1
## 242 1 1 0 1
## 243 1 1 0 1
## 244 1 1 0 1
## 245 1 1 0 1
## 246 1 1 0 1
## 247 1 1 0 1
## 248 1 1 0 1
## 249 1 1 0 1
## 250 1 1 0 1
## 251 1 1 0 1
## 252 1 1 0 1
## 253 1 1 0 1
## 254 1 1 0 1
## 255 1 1 0 1
## 256 1 1 0 1
## 257 1 1 0 1
## 258 1 1 0 1
## 259 1 1 0 1
## 260 1 1 0 1
## 261 1 1 0 1
## 262 1 1 0 1
## 263 1 1 0 1
## 264 1 1 0 1
## 265 1 1 0 1
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## 270 1 1 0 1
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## 300 1 1 0 1
## 301 1 1 0 1
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## 303 1 1 0 1
## 304 1 1 0 1
## 305 1 1 0 1
## 306 1 1 0 1
## 307 1 1 0 1
## 308 1 1 0 1
## 309 1 1 0 1
## 310 1 1 0 1
## 311 1 1 0 1
## 312 1 1 0 1
## 313 1 1 0 1
## 314 1 1 0 1
## 315 1 1 0 1
## 316 1 1 0 0
## 317 1 1 0 0
## 318 1 1 0 0
## 319 1 1 0 0
## 320 1 0 1 1
## 321 1 0 1 1
## 322 1 0 1 1
## 323 1 0 1 1
## 324 1 0 1 1
## 325 1 0 0 1
## 326 2 1 1 1
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## 350 2 1 1 0
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## 356 2 1 1 0
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## 1980 0 1 1 0
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## 1990 0 1 1 0
## 1991 0 1 1 0
## 1992 0 1 1 0
## 1993 0 1 1 0
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## 1995 0 1 1 0
## 1996 0 1 1 0
## 1997 0 1 1 0
## 1998 0 1 1 0
## 1999 0 1 1 0
## 2000 0 1 1 0
## 2001 0 1 1 0
## 2002 0 1 1 0
## 2003 0 1 1 0
## 2004 0 1 1 0
## 2005 0 1 1 0
## 2006 0 1 1 0
## 2007 0 1 1 0
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## 2009 0 1 1 0
## 2010 0 1 1 0
## 2011 0 1 1 0
## 2012 0 1 1 0
## 2013 0 1 1 0
## 2014 0 1 1 0
## 2015 0 1 1 0
## 2016 0 1 1 0
## 2017 0 1 1 0
## 2018 0 1 1 0
## 2019 0 1 1 0
## 2020 0 1 1 0
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## 2152 0 1 1 0
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## 2165 0 1 1 0
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## 2178 0 1 1 0
## 2179 0 1 0 1
## 2180 0 1 0 1
## 2181 0 1 0 1
## 2182 0 1 0 1
## 2183 0 1 0 1
## 2184 0 1 0 1
## 2185 0 1 0 1
## 2186 0 1 0 1
## 2187 0 1 0 1
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## 2190 0 1 0 1
## 2191 0 1 0 1
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## 2193 0 1 0 1
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## 2200 0 1 0 0
## 2201 0 1 0 0## count
## 1 28## count
## 1 316There were 28 child females with 0.6222 proprotion and 316 adult females, 0.7435 proportion, that survived. Therefore, adult females were most likely to survive and adult males were least likely to survive.
G. The following is the proportion of passengers surviving for each age/sex/class category. Which group had the highest mortality in this disaster. Why? There were 20 adult female crew and 192 adult male crew that survived. There were 57 adult males, 140 adult females, 1 child female and 5 child males in Class 1.
## Class Age Sex Survive
## 1 1 1 1 1
## 2 1 1 1 1
## 3 1 1 1 1
## 4 1 1 1 1
## 5 1 1 1 1
## 6 1 1 1 1
## 7 1 1 1 1
## 8 1 1 1 1
## 9 1 1 1 1
## 10 1 1 1 1
## 11 1 1 1 1
## 12 1 1 1 1
## 13 1 1 1 1
## 14 1 1 1 1
## 15 1 1 1 1
## 16 1 1 1 1
## 17 1 1 1 1
## 18 1 1 1 1
## 19 1 1 1 1
## 20 1 1 1 1
## 21 1 1 1 1
## 22 1 1 1 1
## 23 1 1 1 1
## 24 1 1 1 1
## 25 1 1 1 1
## 26 1 1 1 1
## 27 1 1 1 1
## 28 1 1 1 1
## 29 1 1 1 1
## 30 1 1 1 1
## 31 1 1 1 1
## 32 1 1 1 1
## 33 1 1 1 1
## 34 1 1 1 1
## 35 1 1 1 1
## 36 1 1 1 1
## 37 1 1 1 1
## 38 1 1 1 1
## 39 1 1 1 1
## 40 1 1 1 1
## 41 1 1 1 1
## 42 1 1 1 1
## 43 1 1 1 1
## 44 1 1 1 1
## 45 1 1 1 1
## 46 1 1 1 1
## 47 1 1 1 1
## 48 1 1 1 1
## 49 1 1 1 1
## 50 1 1 1 1
## 51 1 1 1 1
## 52 1 1 1 1
## 53 1 1 1 1
## 54 1 1 1 1
## 55 1 1 1 1
## 56 1 1 1 1
## 57 1 1 1 1
## 58 1 1 1 0
## 59 1 1 1 0
## 60 1 1 1 0
## 61 1 1 1 0
## 62 1 1 1 0
## 63 1 1 1 0
## 64 1 1 1 0
## 65 1 1 1 0
## 66 1 1 1 0
## 67 1 1 1 0
## 68 1 1 1 0
## 69 1 1 1 0
## 70 1 1 1 0
## 71 1 1 1 0
## 72 1 1 1 0
## 73 1 1 1 0
## 74 1 1 1 0
## 75 1 1 1 0
## 76 1 1 1 0
## 77 1 1 1 0
## 78 1 1 1 0
## 79 1 1 1 0
## 80 1 1 1 0
## 81 1 1 1 0
## 82 1 1 1 0
## 83 1 1 1 0
## 84 1 1 1 0
## 85 1 1 1 0
## 86 1 1 1 0
## 87 1 1 1 0
## 88 1 1 1 0
## 89 1 1 1 0
## 90 1 1 1 0
## 91 1 1 1 0
## 92 1 1 1 0
## 93 1 1 1 0
## 94 1 1 1 0
## 95 1 1 1 0
## 96 1 1 1 0
## 97 1 1 1 0
## 98 1 1 1 0
## 99 1 1 1 0
## 100 1 1 1 0
## 101 1 1 1 0
## 102 1 1 1 0
## 103 1 1 1 0
## 104 1 1 1 0
## 105 1 1 1 0
## 106 1 1 1 0
## 107 1 1 1 0
## 108 1 1 1 0
## 109 1 1 1 0
## 110 1 1 1 0
## 111 1 1 1 0
## 112 1 1 1 0
## 113 1 1 1 0
## 114 1 1 1 0
## 115 1 1 1 0
## 116 1 1 1 0
## 117 1 1 1 0
## 118 1 1 1 0
## 119 1 1 1 0
## 120 1 1 1 0
## 121 1 1 1 0
## 122 1 1 1 0
## 123 1 1 1 0
## 124 1 1 1 0
## 125 1 1 1 0
## 126 1 1 1 0
## 127 1 1 1 0
## 128 1 1 1 0
## 129 1 1 1 0
## 130 1 1 1 0
## 131 1 1 1 0
## 132 1 1 1 0
## 133 1 1 1 0
## 134 1 1 1 0
## 135 1 1 1 0
## 136 1 1 1 0
## 137 1 1 1 0
## 138 1 1 1 0
## 139 1 1 1 0
## 140 1 1 1 0
## 141 1 1 1 0
## 142 1 1 1 0
## 143 1 1 1 0
## 144 1 1 1 0
## 145 1 1 1 0
## 146 1 1 1 0
## 147 1 1 1 0
## 148 1 1 1 0
## 149 1 1 1 0
## 150 1 1 1 0
## 151 1 1 1 0
## 152 1 1 1 0
## 153 1 1 1 0
## 154 1 1 1 0
## 155 1 1 1 0
## 156 1 1 1 0
## 157 1 1 1 0
## 158 1 1 1 0
## 159 1 1 1 0
## 160 1 1 1 0
## 161 1 1 1 0
## 162 1 1 1 0
## 163 1 1 1 0
## 164 1 1 1 0
## 165 1 1 1 0
## 166 1 1 1 0
## 167 1 1 1 0
## 168 1 1 1 0
## 169 1 1 1 0
## 170 1 1 1 0
## 171 1 1 1 0
## 172 1 1 1 0
## 173 1 1 1 0
## 174 1 1 1 0
## 175 1 1 1 0
## 176 1 1 0 1
## 177 1 1 0 1
## 178 1 1 0 1
## 179 1 1 0 1
## 180 1 1 0 1
## 181 1 1 0 1
## 182 1 1 0 1
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## 2100 0 1 1 0
## 2101 0 1 1 0
## 2102 0 1 1 0
## 2103 0 1 1 0
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## 2105 0 1 1 0
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## 2107 0 1 1 0
## 2108 0 1 1 0
## 2109 0 1 1 0
## 2110 0 1 1 0
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## 2112 0 1 1 0
## 2113 0 1 1 0
## 2114 0 1 1 0
## 2115 0 1 1 0
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## 2164 0 1 1 0
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## 2169 0 1 1 0
## 2170 0 1 1 0
## 2171 0 1 1 0
## 2172 0 1 1 0
## 2173 0 1 1 0
## 2174 0 1 1 0
## 2175 0 1 1 0
## 2176 0 1 1 0
## 2177 0 1 1 0
## 2178 0 1 1 0
## 2179 0 1 0 1
## 2180 0 1 0 1
## 2181 0 1 0 1
## 2182 0 1 0 1
## 2183 0 1 0 1
## 2184 0 1 0 1
## 2185 0 1 0 1
## 2186 0 1 0 1
## 2187 0 1 0 1
## 2188 0 1 0 1
## 2189 0 1 0 1
## 2190 0 1 0 1
## 2191 0 1 0 1
## 2192 0 1 0 1
## 2193 0 1 0 1
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## 2197 0 1 0 1
## 2198 0 1 0 1
## 2199 0 1 0 0
## 2200 0 1 0 0
## 2201 0 1 0 0## Source: local data frame [14 x 4]
## Groups: Class, Age
##
## Class Age Sex count
## 1 0 1 0 23
## 2 0 1 1 862
## 3 1 0 0 1
## 4 1 0 1 5
## 5 1 1 0 144
## 6 1 1 1 175
## 7 2 0 0 13
## 8 2 0 1 11
## 9 2 1 0 93
## 10 2 1 1 168
## 11 3 0 0 31
## 12 3 0 1 48
## 13 3 1 0 165
## 14 3 1 1 462## Source: local data frame [24 x 5]
## Groups: Class, Age, Sex
##
## Class Age Sex Survive == 1 count
## 1 0 1 0 FALSE 3
## 2 0 1 0 TRUE 20
## 3 0 1 1 FALSE 670
## 4 0 1 1 TRUE 192
## 5 1 0 0 TRUE 1
## 6 1 0 1 TRUE 5
## 7 1 1 0 FALSE 4
## 8 1 1 0 TRUE 140
## 9 1 1 1 FALSE 118
## 10 1 1 1 TRUE 57
## .. ... ... ... ... ...To calculate the proportions I counted the total number of passengers by class/age/sex. Then I divided the number of passengers that survived per class/age/sex by the total number in that specific category. There were no children in Class 0. However the proportion of surviving female adults in Class 0 is 20/23 = 0.8696. The proportion of survivings male adults in Class 0 is 192/862 = 0.2227.
The proportion of surviving female adults in Class 1 is 140/144 = 0.8696, surviving male adults in Class 1 is 0.3257, surviving female children in Class 1 is 1 and male children is 1.
The proportion of Class 2 surviving female adults is 0.8602, male adults is 0.0833, female children is 1, male children is 1.
The proportion of Class 3 surviving female adults is 0.4606, male adults is 0.1623, female children is 0.4516, and male children is 0.2708.
The adult males in Class 3 has the highest mortality rate followed by the adult males in Class 0. This may be due to the reasoning that children and women were helped first. Then men, however men who were in the higher classes possibly with greater finances were most likely helped first.
H. In summary, approximately 33% of passengers survived the Titanic. There was nearly twice as many females then males that survived. Furthermore, the higher the class on the ship the more the higher the chance of one surviving.