Create a Student table with the following column names, data types, and constraints: ID - integer with range 0 to 65 thousand, auto increment, primary key FirstName - variable-length string with max 20 chars, not NULL LastName - variable-length string with max 30 chars, not NULL Street - variable-length string with max 50 chars, not NULL City - variable-length string with max 20 chars, not NULL State - fixed-length string of 2 chars, not NULL, default "TX" Zip - integer with range 0 to 16 million, not NULL Phone - fixed-length string of 10 chars, not NULL Email - variable-length string with max 30 chars, must be unique

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

The Horse table has the following columns: ID - integer, primary key RegisteredName - variable-length string Breed - variable-length string Height - decimal number BirthDate - date Write a SELECT statement to select the registered name, height, and birth date for only horses that have a height between 15.0 and 16.0 (inclusive) or have a birth date on or after January 1, 2020.   -- Your SELECT statement goes hereSELECT *FROM HorseWHERE (Height >= '15.0' AND Height <= '16.0')    OR BirthDate >= '2020-01-01';

How do you index a CLOB datatype for faster search operations?

12. List the isbn and name of the book, the id and firstname of the editors. Make sure to include all books in the book table. Order alphabetically by book name.

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.

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.

SQL Use the IN operator to list the item ID and description of each item in category FSH or BRD.

question 42