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By plugging different numbers into a cell, you can quickly come up with different answers to a problem. A great example is using the PMT function with different interest rates and loan periods (in months) to figure out how much of a loan you can afford for a home or a car. You enter your numbers into a range of cells called a data table.

Here, the data table is the range of cells B2:D8. You can change the value in B4, the loan amount, and the monthly payments in column D automatically update. Using a 3.75% interest rate, D2 returns a monthly payment of $1,042.01 using this formula: =PMT(C2/12,$B$3,$B$4).


You can use one or two variables, depending on the number of variables and formulas you want to test.

Use a one-variable test to see how different values of one variable in a formula will change the results. For example, you can change the interest rate for a monthly mortgage payment by using the PMT function. You enter the variable values (the interest rates) in one column or row, and the outcomes are displayed in a nearby column or row.

In this live workbook, cell D2 contains the payment formula =PMT(C2/12,$B$3,$B$4). Cell B3 is the variable cell, where you can plug in a different term length (number of monthly payment periods). In cell D2, the PMT function plugs in the interest rate 3.75%/12, 360 months, and a $225,000 loan, and calculates a $1,042.01 monthly payment.

Use a two-variable test to see how different values of two variables in a formula will change the results. For example, you can test different combinations of interest rates and number of monthly payment periods to calculate a mortgage payment.

In this live workbook, cell C3 contains the payment formula, =PMT($B$3/12,$B$2,B4), which uses two variable cells, B2 and B3. In cell C2, the PMT function plugs in the interest rate 3.875%/12, 360 months, and a $225,000 loan, and calculates a $1,058.03 monthly payment.








Dessert (100g serving)

Calories

Fat (g)

Carbs (g)

Protein (g)

Frozen yoghurt

159

6

24

4

Ice cream sandwich

237

9

37

4.3

Eclair

262

16

24

6

Cupcake

305

3.7

67

4.3

Gingerbread

356

16

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The SQL WHERE Clause

The WHERE clause is used to filter records.

It is used to extract only those records that fulfill a specified condition.

ExampleGet your own SQL Server

Select all customers from Mexico:

SELECT * FROM Customers
WHERE Country='Mexico';

Try it Yourself


Syntax

SELECT column1, column2, ...
FROM table_name
WHERE condition;

Note: The WHERE clause is not only used in SELECT statements, it is also used in UPDATE, DELETE, etc.!


Demo Database

Below is a selection from the Customers table used in the examples:

CustomerID

CustomerName

ContactName

Address

City

PostalCode

Country

1

Alfreds Futterkiste

Maria Anders

Obere Str. 57

Berlin

12209

Germany

2

Ana Trujillo Emparedados y helados

Ana Trujillo

Avda. de la Constitucin 2222

Mxico D.F.

05021

Mexico

3

Antonio Moreno Taquera

Antonio Moreno

Mataderos 2312

Mxico D.F.

05023

Mexico

4

Around the Horn

Thomas Hardy

120 Hanover Sq.

London

WA1 1DP

UK

5

Berglunds snabbkp

Christina Berglund

Berguvsvgen 8

Lule

S-958 22

Sweden





Text Fields vs. Numeric Fields

SQL requires single quotes around text values (most database systems will also allow double quotes).

However, numeric fields should not be enclosed in quotes:

Example

SELECT * FROM Customers
WHERE CustomerID=1;

Try it Yourself


Operators in The WHERE Clause

You can use other operators than the = operator to filter the search.

Example

Select all customers with a CustomerID greater than 80:

SELECT * FROM Customers
WHERE CustomerID > 80;

Try it Yourself

The following operators can be used in the WHERE clause:

Operator

Description

Example

=

Equal

Try it

>

Greater than

Try it

<

Less than

Try it

>=

Greater than or equal

Try it

<=

Less than or equal

Try it

<>

Not equal. Note: In some versions of SQL this operator may be written as !=

Try it

BETWEEN

Between a certain range

Try it

LIKE

Search for a pattern

Try it

IN

To specify multiple possible values for a column

Try it





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