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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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- PLEASE 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.Student_Grade Student ID Course Code Semester 1-2019-2020 Mark Grade 20195605 A0313401 87 20195606 A0313402 1-2019-2020 81 20191200 A0312305 3-2018-2019 77 20205305 A0313401 1-2019-2020 91 20205306 A0313402 1-2019-2020 78 20201202 A0312305 3-2018-2019 81 1) Create the table 2) Insert the data 3) Assign a letter grade to the "Grade" according to the following rules: a. If the mark is greater or equal to 90, assign "A" b. If the mark is between 80 and 89, assign "B" c. If the mark is less than 80, assign "C"Appendix EMPLOYEE Fnamo Minit Lname Ssn Bdato Addross Ser Salary Super ssn Dno 123456789 1965-01-00 731 Fondron, Houston, TX M 30000 333445555 333445555 1955-12-08 638 Voss, Houston, TX John B Smith Franklin Wong 40000 888665555 25000 987654321 999887777 1968-01-10 3321 Castlo, Spring, TX Wallaco 987654321 1941-06-20 201 Borry, Bollaire, TX Alicia Zolaya 4. Jonnifor 43000 888665555 4. Narayan 666884444 1962-09-15 975 Fire Oak, Humblo, TX M 38000 333445555 English 453453453 1972-07-31 5631 Rice, Houston, TX Ramosh K Joyce 25000 333445555 Ahmad V Jabbar 987987987 1969-03-20 980 Dalas, Houston, TX M 25000 087654321 4. James Borg 888665555 1937-11-10 450 Stono, Houston, TX M 55000 NULL DEPARTMENT DEPT LOCATIONS Dnamo Dnumber Mgr ssn Mgr start date Dnumbor Dlocation Rosearch 333445555 1988-05-22 Houston Administration 4. 987654321 1995-01-01 Stafford Headquarters 1. 888665555 1981-06-19 5. Bellaire 5. Sugarland Houston WORKS ON PROJECT Essn Pno Hours Pname Prumber Plocation Dnum 123456789…
- rrtjhrth#DATE TIME-TEMPERATURE UNIT HUMIDITY%9/28/2010 15:45:14 22.248900 C 44.7219689/28/2010 16:00:07 22.738900 C 50.5399939/28/2010 16:15:07 23.388900 C 49.3393389/28/2010 16:30:07 23.918900 C 47.5392809/28/2010 16:45:08 23.668900 C 40.700378The first line is just a comment, and is there to help a human understand the data that they are seeing; it should be ignored (hint: any line beginning with '#' ought to be skipped.) Write a program to read the data from the file and produce the average temperature and average humidity for all the records in the file. This is a very large file - it is the actual temperature and humidity data from our server room. You would spend hours trying to do this manually, with a calculator, and you likely would make mistakes along the way. This is where computers are far superior to humans when dealing with boring, repetitive tasks. The output of the program will look like this: Average Temperature (C): NN.NNNNNNNNNNNNNN Average Humidity (%):…Task 3: Amazon wants to find the best customer and likes to reward 50% discount on his next purchase. Find the Customer with the highest amount of total purchase amount. The output should the one as below: ]: 1 from IPython.display import Image 2 Image(filename = "Screenshot_72.jpg') ]: Custoner ID:16229 is the best custoner since he has spent a lot on our business. His total purchase amount is 3702.12 pesos.5e1 discount will be given on his next purchase
- urgrntt plzurgennt plsUsing KNN algorithm to find the 05 similar movies from the movies below. Movie ID Movie Name IMDB Rating Biography Drama Thriller Comedy Crime Mystery History Label 58 The Imitation Game 8 1 1 1 0 0 0 0 0 8 Ex Machina 7.7 0 1 0 0 0 1 0 0 46 A Beautiful Mind 8.2 1 1 0 0 0 0 0 0 62 Good Will Hunting 8.3 0 1 0 0 0 0 0 0 97 Forrest Gump 8.8 0 1 0 0 0 0 0 0 98 21 6.8 0 1 0 0 1 0 1 0 31 Gifted 7.6 0 1 0 0 0 0 0 0 3 Travelling Salesman 5.9 0 1 0 0 0 1 0 0 51 Avatar 7.9 0 0 0 0 0 0 0 0 47 The Karate Kid 7.2 0 1 0 0 0 0 0 0 50 A Brilliant Young Mind 7.2 0 1 0 0 0 0 0 0 49 A Time To Kill 7.4 0 1 1 0 1 0 0 0 30 Interstellar 8.6 0 1 0 0 0 0 0 0 94 The Wolf of…
- Need perfect answer Else skipped Perfect explanation got thumbs-upOM 455 Section 001 Course Grading Scale Based on Course Average: Lower Upper Course Limit Limit Grade 0 59 F 60 69 D 70 79 C 80 89 B 90 100 A Midterm Final Course Last Name Score Score Average Alt 69 51 60.0 Amini 90 89 89.5 Amoako 82 78 80.0 Apland 43 77 60.0 Bachman 66 44 55.0 Corder 88 96 92.0 Desi 82 74 78.0 Dransman 58 76 67.0 Duffuor 75 89 82.0 Finkel 95 98 96.5 Foster 90 88 89.0 Fuss 74 77 75.5 George 67 90 78.5 Gerson 79 72 75.5 Girling 58 66 62.0 Greer 92 96 94.0 Guerro 67 77 72.0 Hager 64 90 77.0 Heilman 79 85 82.0 Hibbard 94 94 94.0 Hills 62 52 57.0 Hughes 76 92 84.0 Hutchison 83 93 88.0 Jackson 81 95 88.0 Kassner 85 90 87.5 Kelcik 69 84 76.5 Kern 41 75 58.0 Kinner 51 86 68.5 Lair 86 96 91.0 Marsh 88 94 91.0 Martini 65 85 75.0 Mattlin 76 82 79.0 McGough 73 74 73.5 Miller 61 80 70.5 Minnick 58 88 73.0 Minster 66 64 65.0 Mueller 68 91 79.5…ID Student Number Surname Name Test 1 Test 2 Test 3 Test 4 Final mark PASS/FAIL 1 217545455 Johaness Wheeler 45% 34% 49% 21% 37 FAIL 2 217452154 David Albertina 45% 34% 49% 4% 33 FAIL 3 217454151 Waldo Gertze 75% 75% 63% 88% 75 PASS 4 217486414 Kalimbo Andreas 51% 56% 90% 90% 72 PASS 5 217454155 Hakweenda Junior 44% 28% 35% 14% 30 FAIL Answer the following questions using the table above Use student 2017 table to create a query that will display Student Number, Surname, Name and Pass/Fail field for all the students whose final result is "PASS". Save the query as "Pass". Use student 2017 to create a query that will display the student's surname and final mark field for all the students whose final mark is between 0 - 40. Save the query as "Fail" Use student 2017 to create a query that will display the student number and surname for all the students whose surname consist of letter "O" in it. Save the query as "Surname".