**Educational Website Content**---**Title: Understanding SQL Queries for Marketing Analysis****Introduction**In the Marketing Department, analyzing sales data for coffee and espresso products is essential for developing effective campaigns. This guide will demonstrate how to structure an SQL query to gather insights on where customers are located and how many cities the products reach.**Objective**Create a query to retrieve:- Product name- Sales ship-to country- Number of unique cities shipped toThe query should focus exclusively on products containing "coffee" or ending with "espresso" in their names. Additionally, the results should be sorted first by product name, then by the number of cities.**SQL Statement Explanation**To achieve this, we use SQL with specific clauses and statements, as follows:```sqlSELECT Product.ProdName AS "Product", Sale.ShipToCountry AS "Country", COUNT(Sale.ShipToCity) AS "Number of Cities"FROM (Sale JOIN SaleProduct ON Sale.SaleID = SaleProduct.SaleID) JOIN Product ON SaleProduct.ProdID = Product.ProdIDWHERE “Product” LIKE "%coffee%" AND “Product” LIKE "%espresso"GROUP BY "Product", "Country"ORDER BY "Product", "Number of Cities";```**Explanation**- **SELECT Statement**: Chooses the product names, the country to which products are shipped, and counts the number of different cities. - **JOIN Clauses**: - `Sale` and `SaleProduct` are joined using `SaleID` to connect sales with specific products. - `Product` is joined using `ProdID` to link product details.- **COUNT Function**: Calculates the number of unique cities where each product is shipped.- **AS Clause**: Renames attributes for clearer output: - `Product.ProdName` as "Product" - `Sale.ShipToCountry` as "Country" - Count of `ShipToCity` as "Number of Cities"- **WHERE Clause**: Filters to include only products with "coffee" and those ending with "espresso" in their names.- **GROUP BY**: Groups results by product and country.- **ORDER BY**: Sorts the output first by product name, then by the number of cities.---**Outcome**This query will generate a report titled "Coffee Products," providing insight into the distribution and reach

In the required SQL query, following clauses are used: AS clause to temporarily allocate a new name…

Answered: You are in the Marketing Department and…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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When creating a SQL table, _____. a. include only those columns for which data will always be known and available b. remember that the default behavior for table columns is to reject null values c. add the NOT NULL clause for the columns that cannot contain null values d. you must add PRIMARY KEY NOT NULL for the primary key column(s)
8. Using the Henry Books database, list the book code and title of every book that has thetype SFI or that has the publisher code PE. Insert your snip of the query and resultset here:9. Using the Henry Books database, list the book title and book code for every book publishedby Putnam Publishing Group that has a book price greater than $15. Insert your snip of thequery and resultset here:10. Using the Henry Books database, list the sum of books by branch. The branch numberand number of books should display. Order by branch number. Insert your snip of the queryand resultset here:
Management is considering closing on Sundays and would like to have a feeling for the kinds of customers that come to the dealership on Sunday. Create a totals query that shows the count of encounters on the Sundays of July 2015—grouped by the credit description held by the customer of the encounter. The Sundays in July of 2015 are the 5th, 12th, 19th, and 26th. Your answer should have two columns (CreditDescription and encounter_count) and should be sorted alphabetically by credit description.
INSTRUCTIONI have posted below the EER model you need to use while answering the question below. QUESTION 4. Create the following FOUR queries: Create a query that lists all patients who have not had any appointment in the clinic in the last 2 years (at least one patient) Create a query that returns the all appointment by a particular patient in the year of 2020 (should return 5 appointments at least) the result set would include patient names, examining doctors’ and nurses’ names, dates and times of the appointments, any tests ordered by the doctors for the Create a query that returns all appointments that were either cancelled, or patients were No Show in the month of December 2020. (five results minimum) Create a query that returns staff members’ names (excluding doctors), their hourly rates, number of hours worked, and Salary (calculated column; there are 13 employees in the clinic) for the two weeks period (
Not all Global Fast Foods staff members have a manager. Create a query that displays the employee last name and 9999 in the manager ID column for these employees.
Q1.Customers often ask for movies by actor. Write a query that lists the actors in the movies in the FLIX inventory. Your results should include the actor’s name (first and last) and the movie title. To help FLIX employees answer the customers’ questions quickly, sort the results by the actors’ last name and first name.Q2.FLIX would like to create a section of their inventory called “Classics.” To do this, they need to identify movies with a release date of at least 25 years ago. Of course, this 25-year age will change each year so be sure your query accounts for this.Write a query that identifies these movies. Your results should include the release date and the movie title. Sort your results by release date.Q3.FLIX managers want a report that lists All actors (whether they have been in one of the movies in the database or not.All movies (whether they have an actor associated with them or not.Sort results by the actor’s stage name.
1) Rewrite the query below to use GROUP BY CUS_CODE : SELECT CUSTOMER.CUS_CODE, CUSTOMER.CUS_LNAME, INVOICE.INV_NUMBER, INVOICE.INV_DATEFROM CUSTOMER INNER JOIN INVOICE ON CUSTOMER.CUS_CODE = INVOICE.CUS_CODE; 2) Rewrite the query below to include line items of each invoice : SELECT CUSTOMER.CUS_CODE, CUSTOMER.CUS_LNAME, INVOICE.INV_NUMBER, INVOICE.INV_DATEFROM CUSTOMER INNER JOIN INVOICE ON CUSTOMER.CUS_CODE = INVOICE.CUS_CODE; 3) Rewrite the query from 2) to show only the customers who bought a product priced higher than $100, which product, what price, how many units, and when.
SQL List the item ID, description, and on-hand value of each item whose number of units on hand is more than the average number of units on hand for all items. The output table should have the following column headers: ITEM_ID, DESCRIPTION, and ON_HAND_VALUE. Make sure to create a sub-query to get the average on hand value of all items in the ITEM table in order to determine which items have more than the current average on hand.
Create a View to show all the first and last names of managers and the count of their employees. Order the result by the highest number of employees first.You must use a correlated Subquery to obtain the employee count on each row. (Hint: put the subquery in the SELECT)You may have a lot of results with 0, that’s fine.Use the View to rename: first_name to “First Name”, last_name to “Last Name” Employee count result to “Employee Count”Call this view: Management_Employee_CountsInclude a second query to display from the View after it is created. Example data: Refer to attached for the sample data refer to attached for the reference of table.
Display the first 10 rows of the invoice number, 2 line numbers, 2 product SKUs, 2 product descriptions, and brand ID for the sales of “sealer” and “top-coat” related products of the same brand on the same invoice sorted by the invoice number. (See partial result below, it has only 2 rows) Hints: Assign two different alias to both the"lin" and "product" tables. Then do the joins treating them as 4 differnet tables.
Reference table 6-28. Include both SQL commands and results/answers in your answers. In the NONCAT table, increase the price of each item in category BRD by five percent. (Hint: Multiply each price by 1.05.) In the NONCAT table, increase the length of the DESCRIPTION column to 40 characters.
Use SQL to complete the following exercises. Provide SQL screenshots of the resutls of both questions. 1. Create a table named REP. The table has the same structure as the SALES_REP table shown in Figure 3-15 except the LAST_NAME column should use the VARCHAR data type and the COMMISSION and RATE columns should use the NUMERIC data type. Execute the command to describe the layout and characteristics of the REP table. 2. Add the following row to the REP table: rep ID: 35, first name: Fred; last name: Kiser; address: 427 Billings Dr.; city: Cody; state: WY; postal: 82414; cell phone: 307-555-6309; commission: 0.00; and rate: 0.05. Display the contents of the REP table.

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