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Based on the following table
a)Write a 1NF relational schema and identify the partial and transitive dependencies.
b)Write the relational schema for 2NF and 3NF.
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- dfbfn fh hdfhdh hfdhdhx dAnnxckelskxncnrkwlskxnxcnrnkwskxncnfnenjesidkxndnekdkxxnsns...dnekskskskskswmePLEASE EXPLAIN IN DETAIL AND WRITE ELIGIBLY officeNo officeAddress telNo mgrStaffNo name B001 8 Jefferson Way, Portland, ME 97201 503-555-3618 S1500 Tom Daniels B002 City Center Plaza, Seattle, WA 98122 206-555-6756 S0010 Mary Martinez B003 14 – 8th Avenue, New York, NY 10012 212-371-3000 S0145 Art Peters B004 16 – 14th Avenue, Seattle, WA 98128 206-555-3131 S2250 Sally Stern Primary key: officeNo Why the above table is not in 3NF? Describe and illustrate the process of normalizing the data shown in this table to third normal form (3NF). c) Identify the primary and foreign keys in your 3NF relations.
- "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; } |…question atatchedGeographical Information System The table below shows the true and measured data coordinates from a set of 5 points for accuracy assessment. Calculate the RMSE based on these data. Point X True X Data Y True Y Data 1 14 15 93 90 2 65 63 78 78 3 23 27 9 10 4 39 38 16 14 5 42 45 51 56
- After the successful conduct of Mid Term Examinations, the HOD of the Department of Examinations has called his team members to create the online mark sheet of the students. Also he told his team members to assign grade on the basis of percentage mentioned below91<=marks<=100, Print Grade O81<=marks<=90, Print Grade A71<=marks<=80, Print Grade B61<=marks<=70, Print Grade C51<=marks<=60, Print Grade D41<=marks<=50, Print Grade EMarks <40, Print Grade FLocation Invoice Submitted by the Vendor Invoice on Record Invoice Amount Remarks Tax Manila 010001 010001 18,086.00 Makati 000502 000502 28,000.00 Makati 000703 003703 16,216.00 Caloocan 004004 004004 2,000.00 Mandaluyong 008005 008005 8,216.00 Makati 006006 006006 8,764.00 Quezon City 003007 003007 8,764.00 Quezon City 007008 004008 8,764.00 Mandaluyong 001009 001009 8,764.00 Manila 008010 008010 8,790.00 Caloocan 004012 005011 45,000.00 Caloocan 002011 008017 30,000.00 Quezon City 008017 005311 5,000.00 Quezon City 005311 008017 15,000.00 Manila 001015 002011 25,000.00 Summary: Total Invoice Amount for Manila Total Invoice Amount for Quezon City and “Not Found” Total…"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…dhfghrtfgjfghfgnghnfgbngn