Find the numbers that has not been used as DEPTNO in the DEPT table.
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Find the numbers that has not been used as DEPTNO in the DEPT table.
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- fgcgjcghg jhgygjhvjhnm hvbkjhb n"id" "surgery" "sex" "age" "weight" "length" "BMIpre" "BMIpost" "complic" "comorb" "depressi" "diabetes" "SES" 1 0 "Female" NA NA NA NA NA NA 0 0 0 12 0 "Female" 63 94 1,63 35,3795777 26,34649403 1 0 0 0 33 0 "Female" 29 74 1,57 30,02150189 NA 1 0 0 0 14 0 "Female" 32 112 1,67 40,15920255 25,4580659 0 0 0 0 15 0 "Female" 33 92 1,66 33,38655828 23,22543185 0 1 0 0 26 0 "Female" 33 108 1,55 44,95317378 NA 0 0 0 0 37 0 "Female" 41 70 1,62 26,6727633 NA 0 0 0 0 2 8 1 "Female" 20 102 1,76 32,92871901 25,82644628 0 0 0 0 39 1 "Female" 33 150 1,77 47,87896198 34,47285263 1 1 1 0 110 1 "Female" 37 113 1,69 39,56444102…"C:\PROGRA~1\JetBrains\CLion 2022.2.3\bin\mingw\bin\g++.exe" -g -std=gnu++14 -MD -MT CMakeFiles/untitled.dir/sequence.cpp.obj -MF CMakeFiles\untitled.dir\sequence.cpp.obj.d -o CMakeFiles/untitled.dir/sequence.cpp.obj -c C:/Users/r1821655/CLionProjects/untitled/sequence.cppC:/Users/r1821655/CLionProjects/untitled/sequence.cpp:117:36: error: 'template<class Item> class CS3358_FA2022_A04_sequenceOfNum::sequence' used without template arguments 117 | typename sequence<Item>::size_type sequence::size() const { return used; } | ^~~~~~~~C:/Users/r1821655/CLionProjects/untitled/sequence.cpp:117:53: error: non-member function 'typename CS3358_FA2022_A04_sequenceOfNum::sequence<Item>::size_type CS3358_FA2022_A04_sequenceOfNum::size()' cannot have cv-qualifier 117 | typename sequence<Item>::size_type sequence::size() const { return used; } |…
- Q 3). 1 0 0 1 1 0 1 1 0 1 0 0 1 1 0 ➔ 16 A. 4DA5 B. 4EA6 C. 4DA6 D. 4DB6"id" "surgery" "sex" "age" "weight" "length" "BMIpre" "BMIpost" "complic" "comorb" "depressi" "diabetes" "SES"1 0 "Female" 26 100 1,57 40,56959714 31,03574182 0 0 0 0 22 0 "Female" 26 71 1,48 32,41417093 29,67494522 0 0 0 0 23 0 "Female" 53 97 1,6 37,890625 NA 0 0 0 0 24 0 "Female" 18 109 1,68 38,61961451 31,17913832 0 1 0 1 35 0 "Female" 37 100 1,63 37,63784862 27,47562949 0 0 0 0 16 0 "Female" 43 94 1,56 38,62590401 34,92767916 0 0 0 0 27 0 "Female" 36 105 1,64 39,03926234 24,5389649 1 1 0 0 38 0 "Female" 43 107 1,57 43,40946894 27,99302203 1 0 0 0 29 0 "Female" 41 103 1,6 40,234375 37,5 1 0 0 0 210 0 "Female" 24 93…"id" "surgery" "sex" "age" "weight" "length" "BMIpre" "BMIpost" "complic" "comorb" "depressi" "diabetes" "SES"1 0 "Female" 26 100 1,57 40,56959714 31,03574182 0 0 0 0 22 0 "Female" 26 71 1,48 32,41417093 29,67494522 0 0 0 0 23 0 "Female" 53 97 1,6 37,890625 NA 0 0 0 0 24 0 "Female" 18 109 1,68 38,61961451 31,17913832 0 1 0 1 35 0 "Female" 37 100 1,63 37,63784862 27,47562949 0 0 0 0 16 0 "Female" 43 94 1,56 38,62590401 34,92767916 0 0 0 0 27 0 "Female" 36 105 1,64 39,03926234 24,5389649 1 1 0 0 38 0 "Female" 43 107 1,57 43,40946894 27,99302203 1 0 0 0 29 0 "Female" 41 103 1,6 40,234375 37,5 1 0 0 0 210 0 "Female" 24 93…
- "id" "surgery" "sex" "age" "weight" "length" "BMIpre" "BMIpost" "complic" "comorb" "depressi" "diabetes" "SES"1 0 "Female" 26 100 1,57 40,56959714 31,03574182 0 0 0 0 22 0 "Female" 26 71 1,48 32,41417093 29,67494522 0 0 0 0 23 0 "Female" 53 97 1,6 37,890625 NA 0 0 0 0 24 0 "Female" 18 109 1,68 38,61961451 31,17913832 0 1 0 1 35 0 "Female" 37 100 1,63 37,63784862 27,47562949 0 0 0 0 16 0 "Female" 43 94 1,56 38,62590401 34,92767916 0 0 0 0 27 0 "Female" 36 105 1,64 39,03926234 24,5389649 1 1 0 0 38 0 "Female" 43 107 1,57 43,40946894 27,99302203 1 0 0 0 29 0 "Female" 41 103 1,6 40,234375 37,5 1 0 0 0 210 0 "Female" 24 93…Bbnnhjgvdjkvnuisdvsuykb jkxcnjlvnocv
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