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sattari [20]
3 years ago
11

John's Plumbing prides itself on excellent customer service, especially during after-hours service calls. They want to connect w

ith people who need emergency plumbing services in the middle of the night. Which criteria should John's Plumbing configure to meet this goal?
Computers and Technology
1 answer:
eduard3 years ago
4 0

John's Plumbing prides itself on excellent customer service, especially during after-hours service calls. They want to connect with people who need emergency plumbing services in the middle of the night.

John's Plumbing should configure to <u>Ad scheduling</u> to meet this goal.

Explanation:

  • An ad schedule allows you to display ads or change bids during certain times.
  • Ad schedules are set at the campaign level and direct Google when to run your campaigns. Simply put, your ads won't run during times outside the range you specify.  With ad scheduling, you can set which days of the week you want to run your ads and start/stop times for each day
  • Ad scheduling or Day Parting simply lets you specify certain hours or days of the week you would like your AdWords ads to show.
  • For many years Google AdWords allowed 25 characters for a single headline and 35 characters per line for two lines of description text. Then Google gave us two headlines of 30 characters each and a description line of 80 characters.
  • Dayparting is a pay-per-click (PPC) advertising tactic by which you schedule ads for certain times of day or certain days of the week in order to more effectively target audiences.

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A blood bank maintains two tables - DONOR, with information about people who are willing to donate blood and ACCEPTOR, with info
Kipish [7]

Answer:

The sql query is given below.

Since we need to count of males and females for a particular blood group, we put xxx for the blood group.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors,

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

Explanation:

The clauses in the query are as follows.

1. SELECT: all the columns required in the output are put in this clause.

2. FROM JOIN ON: the table(s) from which the above columns are taken are put in this clause.

3. WHERE: any condition required to filter the output is put in this clause.

The query is explained below.

1. Find the number of male donors. Number of anything can be found using COUNT() function. A query is required since gender is included in deciding the type of donor.

2. The query is defined to find number of male donors as follows.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "M%"; )

3. In the previous query, LIKE operator is used since it is not defined what value is stored for male donors.

4. Similarly, the query to find the number of female donors is formed.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "F%"; )

5. Next, the final query is formed as follows.

SELECT: both COUNT() functions will come here.

FROM: table name

WHERE: specific blood group will be put here

GROUP BY: this clause is optional and is not used in this query.

HAVING: this clause is optional and is not used in this query.

6. The query after putting all clauses is shown below.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%"),

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%")

FROM DONOR

WHERE BG = xxx;

7. Alias is used in the above query for each column to get the final query.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors, COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

7 0
3 years ago
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