What indices will be visited for the sorted data below? target = 38 index: 0 1 2 3 4 5 6| 7 8 value: 13 17 24 28 29 32 34 45 49 01234 5 6 0123456 7 8 9 01234 5678 none of these is correct 01234 5 6 7
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- In this database we have users that can be two types students or instructors. They have groups and memberships. Any user can post and the post type can be video, photo or text. Here is the table structure: CREATE TABLE USER_ ( USER_ID INT NOT NULL AUTO_INCREMENT, CREATE_DATE DATE NOT NULL, PROF_DESC VARCHAR (100), PROF_PIC VARCHAR(40), LOCATION VARCHAR (40) NOT NULL, PRIMARY KEY (USER_ID) ); CREATE TABLE USER_INFO( USER_ID INT NOT NULL, SU_EMAIL CHAR(18), USER_FNAME VARCHAR(15), USER_LNAME VARCHAR (15), USER_DOB DATE, USER_GENDER CHAR(1), PRIMARY KEY (USER_ID), FOREIGN KEY (USER_ID) REFERENCES USER_(USER_ID) ON UPDATE CASCADE ); CREATE TABLE STUDENT ( SU_ID INT NOT NULL, USER_ID INT NOT NULL, YEAR_ VARCHAR (10), MAJOR VARCHAR (20), LOCATION VARCHAR (40) NOT NULL, PRIMARY KEY (SU_ID), FOREIGN KEY (USER_ID) REFERENCES USER_(USER_ID) ON UPDATE CASCADE ); CREATE TABLE INSTRUCTOR ( SU_ID INT NOT NULL, USER_ID INT NOT NULL, DEPARTMENT VARCHAR (40), INSTR_TYPE VARCHAR (40),…How would the index change after replacing 107 with 104, and adding an additional entry to the base index with key value 155?ID At_fault_claims 1001 0 1001 1 1002 0 1002 1 1002 1 1003 0 1004 1 1005 1 1005 0 Aggregate the the dataframe above at the ID to create the following claim count variables: : Number of At Fault claims Number of Not At Fault claims it should be written with python We should now have two additional columns 'at fault count' and 'not at fault count' in our aggregate dataframe
- Richardson Ski Racing (RSR) sells equipment needed for downhill ski racing. One of RSR's products is fencing used on downhill courses. The fence product comes in 150-foot rolls and sells for $215 per roll. However, RSR offers quantity discounts. The following table shows the price per roll depending on order size: Quantity Ordered To Price per Roll From 1 70 $215 71 140 $195 141 280 $175 281 and up $155 Click on the datafile logo to reference the data. DATA file (a) Use the VLOOKUP function with the preceding pricing table to determine the total revenue from these orders. (b) Use the COUNTIF function to determine the number of orders in each price bin. From Number of To Price per Roll 70 $215 !!! 140 $195 280 $175 and up $155 1 71 141 281 Orders 172Attempt to view the structure of the HOMEWORK13 view.The following tables provide a very small portion of the data that will be kept in the database. These data need to be inserted into the database for testing purposes. Write the INSERT commands necessary to place the following data in the tables that were created in Problem 65. RENTAL RENT_NUM RENT_DATE MEM_NUM 1001 01-MAR-13 103 1002 01-MAR-13 105 1003 02-MAR-13 102 1004 02-MAR-13 110 1005 02-MAR-13 111 1006 02-MAR-13 107 1007 02-MAR-13 104 1008 03-MAR-13 105 1009 03-MAR-13 111 VIDEO VID_NUM VID_INDATE MOVIE_NUM 54321 18-JUN-12 1234 54324 18-JUN-12 1234 54325 18-JUN-12 1234 34341 22-JAN-11 1235 34342 22-JAN-11 1235 34366 02-MAR-13 1236 34367 02-MAR-13 1236 34368 02-MAR-13 1236 34369 02-MAR-13 1236 44392 21-OCT-12 1237 44397 21-OCT-12 1237 59237 14-FEB-13 1237 61388 25-JAN-11 1239 61353 28-JAN-10 1245 61354 28-JAN-10 1245 61367 30-JUL-12 1246 61369 30-JUL-12 1246
- Access Assignment Problem: JMS TechWizards is a local company that provides technical services to several small businesses in the area. The company currently keeps its technicians and clients’ records on papers. The manager requests you to create a database to store the technician and clients’ information. The following table contains the clients’ information. Client Number Client Name Street City State Postal Code Telephone Number Billed Paid Technician Number AM53 Ashton-Mills 216 Rivard Anderson TX 78077 512-555-4070 $315.50 $255.00 22 AR76 The Artshop 722 Fisher Liberty Corner TX 78080 254-555-0200 $535.00 $565.00 23 BE29 Bert's Supply 5752 Maumee Liberty Corner TX 78080 254-555-2024 $229.50 $0.00 23 DE76 D & E Grocery 464 Linnell Anderson TX 78077 512-555-6050 $485.70…The database has three tables for tracking horse-riding lessons: 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 schedule with the lesson date/time, horse ID, and the student's first and last names. Order the results in ascending order by lesson date/time, then by horse ID. Unassigned lesson times (student ID is NULL) should not appear in the schedule. Hint: Perform a join on the Student and LessonSchedule tables, matching the student IDsThe database has three tables for tracking horse-riding lessons: 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 schedule with the lesson date/time, horse ID, and the student's first and last names. Order the results in ascending order by lesson date/time, then by horse ID. Unassigned lesson times (student ID is NULL) should not appear in the schedule.
- Why it's useful to have index that partially sort a query if it doesn't present all of the results already sorted?A key for this database is {Departure Time}. Enter a different key for the database. Airline Flight Number Gate Destination Departure Time FlyRight 221 34 Denver 08:27 JetGreen 222 13 Anchorage 08:43 JetGreen 199 22 Honolulu 08:46 JetGreen 322 34 Anchorage 09:36 FlyRight 122 33 Honolulu 09:45 FlyRight 323 22 Detroit 09:50 FlyRight 222 33 Denver 09:55 Key: { Ex: Gatewhat is index