Jump to level 1 CREATE TABLE Country ( Name VARCHAR (60), Population INTEGER, Over 65 PopPct FLOAT, Area DECIMAL (9, 2) DEFAULT 1.00, ISOCode2 CHAR (2) DEFAULT 'AA', ); IndepDate DATE A row is inserted into Country with Name 'Newerth' but with no other values specified. What is Newerth's Area? What is Newerth's Population? What is Newerth's ISOCode2? Ex: 5.00 or NULL Ex: 5 or NULL Ex: 'AB' or NULL

Jump to level 1 CREATE TABLE Country ( Name VARCHAR (60), Population INTEGER, Over 65 PopPct FLOAT, Area DECIMAL (9, 2) DEFAULT 1.00, ISOCode2 CHAR (2) DEFAULT 'AA', ); IndepDate DATE A row is inserted into Country with Name 'Newerth' but with no other values specified. What is Newerth's Area? What is Newerth's Population? What is Newerth's ISOCode2? Ex: 5.00 or NULL Ex: 5 or NULL Ex: 'AB' or NULL

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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lab: Create row into hourse table
numbers: 26 27 95 34 74 89 Merge(numbers, 0, 2, 5) is called. Complete the table below for leftPos and rightPos at the moment an element is copied into merged Numbers. Element copied to mergePos leftPos rightPos merged Numbers 0 0 3 26 1 Ex: 3+ 27 34 2 3 4 5 1890 74 95
Do this in MySQL please: Create a stored procedure named prc_inv_amounts to update the INV_SUBTOTAL, INV_TAX, and INV_TOTAL. The procedure takes the invoice number as a parameter. The INV_SUBTOTAL is the sum of the LINE_TOTAL amounts for the invoice, the INV_TAX is the product of the INV_SUBTOTAL and the tax rate (8 percent), and the INV_TOTAL is the sum of the INV_SUBTOTAL and the INV_TAX.
Below are some rows of the table INVOICE COD PROV_COD DATE TYPE LOC TOTAL 2910 192 2022-03-11 90 TX 1928 9301 384 2022-05-03 90 NY 2800 Overdue invoices are those whose date plus TYPE days have passed. Which of the following shows all invoices with overdue dates? a. SELECT * FROM INVOICE WHERE CURDATE() - DATE > TYPE b. SELECT * FROM INVOICE WHERE CURDATE()-TYPE >DATE c. SELECT * FROM INVOICE WHERE DATE+TYPE < CURDATE() d. SELECT * FROM INVOICE WHERE DATE+TYPE > CURDATE()
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 172
calculate_trip_time( iata_src: str, iata_dst: str, flight_walk: List[str], flights: Flight Dir float: def ) -> """ Return a float corresponding to the amount of time required to travel from the source airport to the destination airport to the destination airport, as outlined by the flight_walk. The start time of the trip should be considered zero. In other words, assuming we start the trip at 12:00am, this function should return the time it takes for the trip to finish, including all the waiting times before, and between the flights. If there is no path available, return -1.0 >>> calculate_trip_time("AA1", "AA2", ["AA1", "AA2"], TEST_FLIGHTS_DIR_FOUR_ 2.0 "AA7", ["AA7", "AA1"], TEST_FLIGHTS_DIR_FOUR_ "AA7", ["AA1", "AA7"], TEST_FLIGHTS_DIR_FOUR_ "AA1", ["AA1"], TEST_FLIGHTS_DIR_FOUR_CITIES) "AA2", ["AA4", "AA1", "AA2"], TEST_FLIGHTS_DI "AA3", ["AA1", "AA2", "AA3"], TEST_FLIGHTS_DI >>> calculate_trip_time("AA1", "AA4", ["AA1", "AA4"], TEST_FLIGHTS_DIR_FOUR_ 2.0 || || || >>>…
First normal form says: a. No nonkey columns depend on another nonkey column b. Every column that's not part of the primary key is fully dependent on the primary key. c. Eliminate repeated fields. d. None of the above
Query 3: Write a parameter query to display the names of all prospects each member tried to recruit based on the member’s first name and the member’s last name you input. List the member’s First Name, member’s Last Name, prospect’s First Name, and prospect’s Last Name (in this order in the query grid). Display the member’s First Name Heading as Member First Name, member’s Last Name Heading as Member Last Name, prospect’s first name heading as Prospect First Name, and prospect’s last name heading as Prospect Last Name. Sort the list by Member Last Name, Member First Name, Prospect Last Name, and Prospect First Name, all ascending order. (WE ARE USING ACCESS SO I AM JUST TRYING TO UNDERSTAND WHAT TO PUT AND PLUG IN ETC. USE MY PICTURES AS REFERRENCE!)
DONT COPY FROM CHEGG == REPORT + DISLIKE 9. List the genre name and count of all tracks in each genre, in descending order of track count (so the genre with the most tracks is listed first)
Insert any 5 rows of athletes including your details into the Athletics table you created in the previous Question. The table created previously CREATE TABLE Athletics ( AthleteID int NOT NULL First_name varchar(255) NOT NULL, Last_name varchar(255) NOT NULL, DOB DATE NOT NULL, SportsCode INT, Date_Last_event DATE, PRIMARY KEY (ID) ); varchar(255) use for define string column, int stand for integer field etc.
Question 6 To get all the variables named x1 through x15 (out of 30 variables that start with x) from data, you could use O filter(data starts with("x")) select(flights."x") Oselect(data.num_range("x"1:15) Opick(flights.starts with("x")) Question 7 To reverse sort the nycflights13::flights data set by month and then by day, you would use O sort values(flights.day.month.descending-TRUE) O filter(flights.desc(month).desc(day)) O filter(flights.desc(day).desc(month)) Osort values(flights,month.day.ascending FALSE) Question 8 To get all the variables from the flights like "arr_delay" and "dep_delay", you could use O filter(flights,ends_with("_delay")) O select(flights.""_delay") O select(flights,ends_with("_delay")) Opick(flights,ends_with("_delay"))
The Horse table has the following columns: ID - integer, auto increment, primary key RegisteredName - variable-length string Breed - variable-length string, must be one of the following: Egyptian Arab, Holsteiner, Quarter Horse, Paint, Saddlebred Height - decimal number, must be between 10.0 and 20.0 BirthDate - date, must be on or after Jan 1, 2015 Insert the following data into the Horse table: RegisteredName Breed Height BirthDate Babe Quarter Horse 15.3 2015-02-10 Independence Holsteiner 16.0 2017-03-13 Ellie Saddlebred 15.0 2016-12-22 NULL Egyptian Arab 14.9 2019-10-12