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.

Create the table that results from applying a UNION relational operator to the two tables BOOTH and MACHINE

Customers CustomerID INT ◆ FirstName VARCHAR(50) ◆ LastName VARCHAR(50) H > Email VARCHAR(100) > Address TEXT Indexes F | Orders OrderID INT > CustomerID INT > OrderDate DATE ◆ TotalAmount DECIMAL (10,2) Indexes # ShippingInformation ShippingID INT > OrderID INT → ShippingAddress TEXT ShippingDate DATE -K > EstimatedArrivalDate DATE → ShipmentStatus VARCHAR(50) Indexes Reviews ReviewID INT > ProductID INT > CustomerID INT ◆ Rating INT Comment TEXT > DatePosted DATE Indexes OrderDetails OrderDetailID INT ▶I > OrderID INT HI-KO ProductID INT → Quantity INT Subtotal DECIMAL (10,2) Indexes T Categories CategoryID INT ◆ CategoryName VARCHAR(255) Indexes Products ProductID INT -H ProductName VARCHAR(255) > Description TEXT ◆ Price DECIMAL (10,2) -I+ CategoryID INT > DiscountID INT Indexes Discounts DiscountID INT ◆ Discount Code VARCHAR(50) ◆ Discount Percentage DECIMAL (5,2) > StartDate DATE > EndDate DATE Indexes For the design above, Write in SQL a query to print customer names who made…

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)

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.

Task 12: When deleting a customer, subtract the balance multiplied by the sales rep’s commission rate from the commission for the corresponding sales rep.

Show that you have a comprehension of how high-level language variables are stored in memory and how memory is used to store them.

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"))

• 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

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