FIGURE Customers with invoices P8.24 filled by employees 83649 and 83677 Cust Code Cust_FName Cust_LName 684 WENDI BEAN 340 MARCIA BURRIS 211 GERALD CAUDILL 292 VALARIE DILLARD 293 CLAIR ERICKSON 416 TATIANA HOWE 996 EZRA LYON MARINO SMALL 98 VALENTIN 121 PETER 1157 LUCIO STALEY 617 CESAR TALLEY 457 SHAUNA WERNER 131 SAL WHALEY Cengage Learning © 2015
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Write a query to display the customer code, first name, and last name of all customers who have had at least one invoice completed by employee 83649 and at least one invoice completed by employee 83677. Sort the output by customer last name and then the first name.
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- Normalize the following table to the 3rd Normal form: Student Student Phone Course Term Grade Instructor Instructor Phone Lauren Fernell 555-7771 MIS 350 F12 A Hess 555-2222 Lauren Fernell 555-7771 MIS 372 F12 B Sarker 555-2224 Lauren Fernell 555-7771 MIS 426 F12 A Fuller 555-2227 Lauren Fernell 555-7771 MIS 375 F12 B+ Wells 555-2228 Brigit Schnieder 555-2215 MIS 350 F12 A Hess 555-2222 Brigit Schnieder 555-2215 MIS 375 F12 B+ Wells 555-2228 Brigit Schnieder 555-2215 MIS 372 F12 A Sarker 555-2224 Brigit Schnieder 555-2215 MIS 374 F12 B Clay 555-2221 Jackie Judson 555-1245 MIS 350 F12 A Hess 555-2222 Jackie Judson 555-1245 MIS 372 F12 B+ Sarker 555-2224 How many tables did you create after normalizing the table? List each of…The following table shows a list of pets and their owners that is used by a veterinarian service. P_Name Type Breed DOB Owner O_Phone O_E-mail Kino Dog Std. Poodle 3/27/97 M. Downs 5551236 md@abc.com Teddy Cat Chartraux 4/2/98 M. Downs 1232343 md@abc.com Filo Dog Std. Poodle 2/24/02 R. James 2343454 rj@abc.com AJ Dog Collie Mix 11/12/95 Liz Frier 3456567 liz@abc.com Cedro Cat Unknown 12/10/96 R.James 7865432 rj@abc.com Woolley Cat Unknown 10/2/00 M. Trent 9870678 mt@abc.com Buster Dog Collie 4/4/01 Ronny 4565433 ron@abc.com a. Describe 4 problems that are likely to occur when using this table. b. Break the table into two tables in a way that fixes the four problems.# Begin constantsCOLUMN_ID = 0COLUMN_NAME = 1COLUMN_HIGHWAY = 2COLUMN_LAT = 3COLUMN_LON = 4COLUMN_YEAR_BUILT = 5COLUMN_LAST_MAJOR_REHAB = 6COLUMN_LAST_MINOR_REHAB = 7COLUMN_NUM_SPANS = 8COLUMN_SPAN_DETAILS = 9COLUMN_DECK_LENGTH = 10COLUMN_LAST_INSPECTED = 11COLUMN_BCI = 12 INDEX_BCI_YEARS = 0INDEX_BCI_SCORES = 1MISSING_BCI = -1.0 EARTH_RADIUS = 6371 # Sample data for docstring examplesdef create_example_bridge_1() -> list:"""Return a bridge in our list-format to use for doctest examples. This bridge is the same as the bridge from row 3 of the dataset.""" return [1, 'Highway 24 Underpass at Highway 403','403', 43.167233, -80.275567, '1965', '2014', '2009', 4,[12.0, 19.0, 21.0, 12.0], 65.0, '04/13/2012',[['2013', '2012', '2011', '2010', '2009', '2008', '2007','2006', '2005', '2004', '2003', '2002', '2001', '2000'],[MISSING_BCI, 72.3, MISSING_BCI, 69.5, MISSING_BCI, 70.0, MISSING_BCI,70.3, MISSING_BCI, 70.5, MISSING_BCI, 70.7, 72.9, MISSING_BCI]]] def create_example_bridge_2() ->…
- BookID CustID Name Phone DateTimeRented DateTimeReturned 1 10 Henry Lawson (802)218-7318 (802)584-8249 7/22/2006 7:00:00 PM 7/23/2006 10:00:00 PM 2 3 Bob O'Connor (802)918-7565 7/21/2006 1:00:00 PM 7/22/2006 5:00:00 PM 3 6 Cary Jones (603)536-8739 7/21/2006 6:00:00 PM 7/22/2006 10:00:00 AM 4 4 Harry Salomon (603)536-7565 7/12/2006 10:00:00 AM 7/13/2006 9:00:00 AM 5 5 Mary Combs (603)536-3632 7/17/2006 4:00:00 PM 7/18/2006 3:00:00 PM 6 7 Mary Tyler (603)669-7431 7/10/2006 8:00:00 PM 7/11/2006 10:00:00 AM 7 2 Bonnie Artest (603)819-0387 7/1/2006 5:00:00 PM 7/2/2006 11:00:00 AM 8 9 Bobby Lamson (603)347-5592 7/11/2006 4:00:00 PM 7/12/2006 10:00:00 PM 9 1 Lorry Kovacs (603)536-0987 (603)536-1294 7/23/2006 7:00:00 PM 7/24/2006 6:00:00 PM 10 4 Harry Salomon (603)536-7565 7/20/2006 5:00:00 PM 7/21/2006 4:00:00 PM 11 8 Johny Milano…questionnnHow can i transform this table to 1NF, 2NF, and 3NF ID First_Name Last_Name Game1_score Game2_score Game3_score Average_score Team Number Team_Name 101 Fred Flintstone 34 77 76 62.33333333 2 Dinos 102 Wilma Flintstone 45 645 54 248 2 Dinos 103 Barney Rubble 24 67 65 52 3 Boulders 104 Betty Rubble 74 46 46 55.33333333 3 Boulders 105 Foghorn Leghorn 22 46 33 33.66666667 4 Chickens
- 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".Wite a python program to display a table in the browser that shows the total number of cases for each state in the USA from COVID19Py API. A sample table is provided below State Total Number of cases Alaska 448737 Alabama 98987 .......Using 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…
- Correct and detailed answer will be Upvoted else downvoted. No plagarism pleaseCUSTOMERColumns = 7, Rows = 10 CustomerID LastName FirstName Address ZIP Phone Email 1 Shire Robert 6225 Evanston Ave N 98103 206-524-2433 Robert.Shire@somewhere.com 2 Goodyear Katherine 7335 11th Ave NE 98105 206-524-3544 Katherine.Goodyear@somewhere.com 3 Bancroft Chris 12605 NE 6th Street 98005 425-635-9788 Chris.Bancroft@somewhere.com 4 Griffith John 335 Aloha Street 98109 206-524-4655 John.Griffith@somewhere.com 5 Tierney Doris 14510 NE 4th Street 98005 425-635-8677 Doris.Tierney@somewhere.com 6 Anderson Donna 1410 Hillcrest Parkway 98273 360-538-7566 Donna.Anderson@elsewhere.com 7 Svane Jack 3211 42nd Street 98115 206-524-5766 Jack.Svane@somewhere.com 8 Walsh Denesha 6712 24th Avenue NE 98053 425-635-7566 Denesha.Walsh@somewhere.com 9 Enquist Craig 534 15th Street 98225 360-538-6455 Craig.Enquist@elsewhere.com 10 Anderson Rose 6823 17th Ave NE 98105 206-524-6877 Rose.Anderson@elsewhere.com EMPLOYEEColumns = 5, Rows = 5 EmployeeID LastName FirstName…CUSTOMERColumns = 7, Rows = 10 CustomerID LastName FirstName Address ZIP Phone Email 1 Shire Robert 6225 Evanston Ave N 98103 206-524-2433 Robert.Shire@somewhere.com 2 Goodyear Katherine 7335 11th Ave NE 98105 206-524-3544 Katherine.Goodyear@somewhere.com 3 Bancroft Chris 12605 NE 6th Street 98005 425-635-9788 Chris.Bancroft@somewhere.com 4 Griffith John 335 Aloha Street 98109 206-524-4655 John.Griffith@somewhere.com 5 Tierney Doris 14510 NE 4th Street 98005 425-635-8677 Doris.Tierney@somewhere.com 6 Anderson Donna 1410 Hillcrest Parkway 98273 360-538-7566 Donna.Anderson@elsewhere.com 7 Svane Jack 3211 42nd Street 98115 206-524-5766 Jack.Svane@somewhere.com 8 Walsh Denesha 6712 24th Avenue NE 98053 425-635-7566 Denesha.Walsh@somewhere.com 9 Enquist Craig 534 15th Street 98225 360-538-6455 Craig.Enquist@elsewhere.com 10 Anderson Rose 6823 17th Ave NE 98105 206-524-6877 Rose.Anderson@elsewhere.com EMPLOYEEColumns = 5, Rows = 5 EmployeeID LastName FirstName…