Refer to the sample tables and data below.Tables:people (id(pk), firstname, lastname, zip(fk))zip_code (zip(pk), city, state)mysql> select * from people;+--|id| firstname | lastname | zip1 Marty| 2 | Jennifer3Lorraine |4Biff| 5 | George5 rows in set (0.01 sec)McFly| ParkerMcFly45001 New York | NY45010 | New Jersey | NJ33647 TampaFL33765 | Clearwater | FL4 rows in set (0.01 sec)O rowsmysql> select * from zip_code;zip| city| state |3 rowsTannenMcFly6 rows9 rows45001| 3364733647How many rows will be returned by the following command?SELECT firstname, city, stateFROM people LEFT JOIN zip_codeON people.zip = zip_code.state;| 33647| 45010 |foreign key references zip_code(zip)

SummaryA SQL LEFT JOIN returns all rows from the left table, even though no matches found in the…

zip_code (zip(pk), city, state) mysql> select * from people; | id | firstname | lastname | zip 1 1 | Marty | McFly | 45001 2 Jennifer | Parker 3 | Lorraine | McFly | | 4 | Biff | 5 | George Tannen | McFly 5 rows in set (0.01 sec) 33647 | | 33647 | | 33647 | | 45010 |

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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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:
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"))
Estem.org/courses/64525/assignments/9460783?module_item_id=18078917 The following information can help you get started: • Invitation Details: it boils down to when and where o When: Time and date • Where: Address • Invitee List: Name and email • Name: First Name, or First Name and Last Name Email: Email address . Other considerations: After you complete your invitation, answer the following questions: 1. What type of data are time, date, and place? How are they different from the other data types on the invite and guest list? F4 A Additional information worth including: dress code, directions, gifting, how to contact you. . How will you know who is showing up? RSVP? . Is there a theme to your invitation/design? x F5 % F6 F7 DELL F8 F9 ROMNA F10 F11 PrtScr
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
Stal >>> Run PS6_P2_solution.py Vehicle: Make: Tesla Model: Model 3 Year: 2022 Age: 1 years Vehicle: Make: Ford Model: F-150 Year: 2020 Max Load: 10000 lbs Age: 3 years Can the truck carry 11000 lbs? No >>>
MySQL 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); 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...6. Find the last name of all employees that were not hired on Tuesday *hint: (UseDATE_FORMAT() function amd the format you need is %W, also use UPPER()7. Find the number of employees in each department who have a manager.8. Find the number of employees for each manager whose employees' minimum salary is greaterthan 5000.9. Find the number of…
calculate_new_balance Given a starting balance (a number), and a list of transaction tuples, calculate the final balance for an account. Transaction tuples are of the shape ("description", amount, "withdrawal") , or ("description", amount, "deposit"). The last entry in the tuple will be either "withdrawal" or "deposit". Every withdrawal decreases the balance of the account by the specified amount, and every deposit increases the balance. The return value is the new account balance, as a number. (which could be negative) Sample calls should look like: >>> calculate_new_balance(100, [("payday", 20, "deposit"), ("new shoes", 50, "withdrawal"), ("illicit winnings", 200, "deposit")])270>>> calculate_new_balance(100, [])100
nycflights13::flights Q4<- flights %>%filter(carrier == "JFK") %>%summarise(average_dist = mean(distance)%>%summarise(max_dist = max(average_dist))%>%group_by(Q4, month, day)%>%head(Q4[order(dat$month),(dat$day),(dat$max_dist)],n=5) *not pictured, I did upload, tidy verse, dplyr, and the nycflights13 libraries. Error: Incomplete expression: Q4<- flights %>% filter(carrier == "JFK") %>% summarise(average_dist = mean(distance)%>% summarise(max_dist = max(average_dist))%>% group_by(Q4, month, day)%>% head(Q4[order(dat$month),(dat$day),(dat$max_dist)],n=5) RStudio Question: I can't figure out what is wrong with my code. Could someone take a look at it? See below for what I am trying to do, my code and my error output. I am trying to find what 5 days of the year had the highest mean distance from JFK airport, using the nycflights13 library. I want to format it in month, day, andvmean distance.
The following Excel image has a VBA program (see below). What will be the result after the program is executed? Any cells not displayed are currently empty, and any cells with numbers are formatted numeric. A B C D 1 2 3 UN Gross Domestic Product (GDP) per Capita 4 5 6 7 8 9 10 11 12 Total Year/Country Angola Portugal France 2000 2005 2010 2015 2020 10 10 10 10 10 50 100 100 100 100 100 500 1,000 1,000 1,000 1,000 1,000 5,000 E Mexico 10,000 10,000 10,000 10,000 10,000 50,000
individual characters using their 0-based index. Hint: You will need to do this for checking all the rules. However, when you access a character .
Guided Table Build: We will be Creating a Table called Student For the 6 following questions, your submission will be the query that shows you’ve created the table conforming to the requirements. Create a Table Named Student. The first column should be named ID, and have a data type of Integer The second column should be named First_Name, and have a data type of varchar(255). The third column should be named Last_Name, and have a data type of varchar(255) The fourth column should be named DOB (short for date of birth), and have a data type of date. The firth column should be named Adv_ID (short for advisor ID), and have a data type of integer.
MYSQL Create a view vTop_Course_count to list the top 2 most popular course names and the number of students took these two courses for all years. Below is a sample output. | name mycount Java2 Data Structure 10 Students sid first_name last_name birthday major zipcode Huang 1990-01-01 cs 1976-02-08 IT 1987-03-21 Math 1947-08-25 Biology 07101 1997-01-25 | CS 1995-09-15 IT 1988-01-15 |Nursing |07101 |07123 08348 1001 Austin 1002 Mary Smith 1003 Claudia Lee 91384 1004 Andrew Lin 1005 Helen Wu 07083 1007 1008 Sarah Lee 4101 Andrew |Huang Courses cid name credits CPS1231 |Java1 14 CPS2231 Java2 CPS2232 Data Structure CPS3500 Web Programming CPS3740 Database Introduction 3 CPS5740 Database Systems CPS5921 Data Mining 4 4 3 3 Students_Courses sid cid year semester grade CPS2231 2013 CPS2231 2015 CPS2231 2014 CPS3740 2011 CPS2232 2014 CPS2232 2016 1001 Fall A- 1003 Spring Spring A- 1004 1009 Fall B- 1009 Fall 1001 1004 Fall C+ CPS2232 2014 Spring B+