You must represent it by respecting the following textual notation. Table name: is represented by the first word in capital letters in front of the parentheses. i.e. TABLE (); Columns name: are inside the parentheses separated by commas. i.e. (column1, column2); PK: Stay with the column which is the primary key. i.e. TABLE (column1 (PK), column2); FK: Stay with the column which is the foreign key. i.e. TABLE (column1 (PK), column2, column3 (FK)); CPK: Stay with the column that makes up the composite primary key, j.e. TARI F ((column1 column?
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Question - Analyze the diagram and transform from conceptual model into logical model by using textual notation?
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- Horse with columns: ID - primary key RegisteredName Breed Height BirthDate Student with columns: ID - primary key FirstName LastName Street City State Zip Phone EmailAddress LessonSchedule with columns: HorseID - partial primary key, foreign key references Horse(ID) StudentID - foreign key references Student(ID) LessonDateTime - partial primary key Write a SELECT statement to create a lesson sHaving this information. StudentsAttribute Name Data TypeStudentID char(11)FirstName varchar(20)LastName varchar(20)Gender char(1)DateofBirth date CoursesAttribute Name Data TypeCourseCode varchar(6)CourseName varchar(70)Level char(2)Credits int RegistrationAttribute Name Data TypeStudentID char(11)CourseCode varchar(6)Grade decimal(2, 1) Write SQL code to: 1. How many courses are there on each level? 2. What is the average grade of courses that have been taken by the student with student ID 861103-2438? 3. Which students (studentID only) have the highest grade for the course ‘CS052’? 4. Find the courses (course codes only) that have been taken by both the student 861103-2438 and the student 123456-0980.Having this information. StudentsAttribute Name Data TypeStudentID char(11)FirstName varchar(20)LastName varchar(20)Gender char(1)DateofBirth date CoursesAttribute Name Data TypeCourseCode varchar(6)CourseName varchar(70)Level char(2)Credits int RegistrationAttribute Name Data TypeStudentID char(11)CourseCode varchar(6)Grade decimal(2, 1) Write SQL code to: 1. What are the student ID, the names, and birthday of the female students who were born before the last day of 1992? 2. How many students are registered in the course “PHY210”? 3. How many courses are offered by the department of Computer Science (i.e. course codes CS***)? 4. Which course(s) (couseCode and courseName) of level G1 give 5 credits?
- Following is an explanation of the key differences between MonthCalendar and DateTimerPicker.MySql Workbench CREATE TABLE students ( id INT PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), age INT, major VARCHAR(50), faculty VARCHAR(50)); CREATE TABLE location ( id INT PRIMARY KEY, name VARCHAR(50), rooms INT); CREATE TABLE faculty ( id INT PRIMARY KEY, name VARCHAR(50), department_id INT); 1. List last name of all students whose first name is longer than 4 letters in ascending order accordingto the last name. Duplicated rows should be removed from the output.2. Count the total number of rooms in Location.3. Find the number of students in each major.4. Find the number of employees in each department who get no commission or have salary less than5000.5. Find the maximum salary of employees in each department that the employee was hired 15 yearsbefore now. *hint: user TIMESTAMPDIFF(<unit type>,<Date_value 1>,<Date_value 2>), the unitcan be YEAR, MONTH, DAY, HOUR, etc...Text categorization: given the following document-term matrix: (the value in the matrix represents the frequency of a specific term in that document) T1 T2 T3 T4 T5 T6 T7 T8 doc1 2 0 4 3 0 1 0 2 doc2 0 2 4 0 2 3 0 0 doc3 4 0 1 3 0 1 0 1 doc4 0 1 0 2 0 0 1 0 doc5 0 0 2 0 0 4 0 0 doc6 1 1 0 2 0 1 1 3 doc7 2 1 3 4 0 2 0 2 Assume that documents have been manually assigned to two pre-specified categories as follows: Class_1 = {Doc1, Doc2, Doc5}, Class_2 = {Doc3, Doc4, Doc6, Doc7} (a) Use Naïve Bayes Multinomial Model and Naïve Bayes Bernoulli Model to respectively calculate how Doc 8 and Doc 9 given above will be classified. Please use add-one smoothing to process the conditional probabilities in the calculation T1 T2 T3 T4 T5 T6 T7 T8 doc8 3 1 0 4 1 0 2 1 doc9 0 0 3 0 1 5 0 1 (b) Redo the classification, use the K-Nearest-Neighbor approach for document categorization with K = 3 to classify the following two new documents. Show calculation details. Note: no need to normalized the vectors,…
- Given the following relation that stores details about students' activities: StudentID StudentName Activity ActivityFee AmountPaid 100 Jones Golf 65.00 65.00 100 Jones Skiing 200.00 0.00 200 Davis Skiing 200.00 0.00 200 Davis Swimming 50.00 50.00 300 Garrett Skiing 200.00 100.00 300 Garrett Swimming 50.00 50.00 400 Jones Golf 65.00 65.00 400 Jones Swimming 50.00 50.00Guest House Paradiso The Guest House Paradiso used to be a splendid place to stay. But things haven't been updated in a while. Including the way that room bookings are recorded. At the moment they're recorded in a spreadsheet like this: Bookings Table Room Number Number of Nights Arrival Date Departure Date Guest Last Name Guest Phone Number Optional Extras 203 Mar 18 2022 Mar 20 2022 Howard 555-2381 bug-free bed 101 Mar 18 2022 Mar 21 2022 3 Gallagher 555-3619 clean towels, hot water 302 Mar 18 2022 Mar 19 2022 1 Mortimer 555-0856 bug-free bed, clean towels 103 Mar 18 2022 Mar 23 2022 5 McQueen 557-2428 hot water ... 203 Mar 20 2022 Mar 23 2022 3 Carraclough 554-8652 clean towels, hot water Optional Extras There are three types of 'Optional Extras' available in all rooms, and guests can order any combination of these: • hot water • bug-free bed • clean towels NOTE: For this scenario we will assume that a guest's phone number never changes and is unique.Plot point please.
- The primary distinctions between MonthCalendar and DateTimerPicker will be discussed here.DDEPARTMENTS Columna Data Model IConstraints iGrants Istatutica Triogers irlahback Dependendes Detals i * a E X Sort. Fiter. DEPARTMENT... DEPARTHENT NAME 10 Administration () MANAGER_ JD ) LOCATIONUD 1700 200 20 Marketing 201 1800 30 Purchasing 40 Human Resources 114 1700 203 2400 50 Shapping 121 1500 €0 IT 103 1400 70 Public Relationa 204 2700 80 Sales 145 2500 90 Executive 100 1700 10 100 Finance 108 1700 11 110 Accounting 205 1700 12 120 Treasury (null) 1700 13 130 Corporate Tax (null) 1700 14 140 Control And Credit (null) 1700 15 150 Shareholder Services (null) 1700 16 160 Benefita (aull) 1700 17 170 Manufacturing (null) 1700 18 180 Construction (null) 1700 19 190 Contracting (null) 700ב 20 200 Operations 1700 (null) (null) 21 210 IT Support 1700 22 220 NOC (null) 1700 23 230 IT Helpdesk (null) 1700 Departments EMPLOYEE JD FIRST NAME LAST NAME EMAL 101 Neena 0 HIRE DATE ) 08D 21-SEP-89 AD VP 10 PHONE NUMBER SALARY COMMESSION PCT ) MANAGER D DEPARTMENT ID Kochhar SROCHHAR…color descriprion model purchDate typelabel brand currentlocationID typelD typeDescr typelD carlD Car Belongs Car_Type Parked Rental CRC_Office Lessor Reservation Lessee Customer phone carlD SSN name officelD address customerID amount customerID mobile reservationID returnlocationID country state pickuplocationID pickupDate email returnDate 1) Add multiplicity and Normalize the ER diagram. 2) Identify Primary & Foreign keys. Thank you