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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17. List the network names and the number of shows per network. Take a screenshot now and paste it here. 18. List the average number of episodes in the table shows. Take a screenshot now and paste it here. 19. List the name of the shows that have more episodes than the average number of episodes in the table shows. Use a subquery. Do not hardcode the average number (that you obtained in the previous question). Take a screenshot now and paste it here.
The MongoDB shell is an interactive ______interface to MongoDB. You can use the mongo shell to query and update data as well as perform administrative operations. A. NodeJS B. JavaScript C. C D. SQL
The following code will #define N_ROW 10 #define N_COL 10 int row; double sum=0, table[N_ROW][N_COL]; sum = 0; for (row = 0; row < N_ROW; row++) sum += table[row][1] sum the values of the column with an index of 1. sum the values of the row with an index of 1. sum the values of the row with an index of N_ROW. none of the others sum the values of the first column in the array.
please write a code, I will connect with python django
Let's make the relationship between shows and networks N:N (a many-to-many relationship), i.e. each show can be associated with multiple networks, and each network has many shows). First, we need to create a junc- tion table. Do the following, preferably using only one SQL command: а. Create a junction table named show_network ,with show_id and net_id as fields. b. Make the primary key of the show_network table a composite key, made up of both fields. For syntax help, see here: https://www.w3schools.com/sgl/sql primarykey.asp Make two foreign key constraints, one for show_id and one for net_id, to reference the tables shows and networks respectively. C. Take a screenshot now and paste it here.
Apply the First Normal Form (1NF) and Second Normal Form (2NF) steps to the following two tables. ST_ID ST_Name ST_Major St_Phone ST_Email 100 Marla jen ACCT (703) 111-2222 mjen@gmail.com 110 Jan Bok MGMT (703) 222-3333 jbok@verizon.net 115 Lee Chan MIS (703) 333-4444 (703) 444-5555 lchan@cox.net Table 1 ID Name Courses 1 Ashely Key MIS 302, MIS 303 2 Katy Pery MIS 310 3 Mickey Zen MIS 303, MIS 350 Table 2
• Write a simple stored function that Takes a gender as an input ● Find the staff whose gender matches the input Return the results Write a simple stored procedure that Takes a gender as an input Find the staff whose gender matches the input • Print the results
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
How do you index a CLOB datatype for faster search operations?
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 >>>
Create a VIEW named MAJOR_CUSTOMER. It consists of the customer ID, first name, last name, balance, credit limit, and rep ID for every customer whose credit limit is $500 or less.
nycflights13::flights Q4<- flights %>%filter(carrier == "JFK") %>%summarise(average_dist = mean(distance)%>%summarise(max_dist = max(average_dist))%>%group_by(Q4, month, day)%>%head(Q4[order(dat$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.