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Understanding comparison operators

From: Access 2010: Queries in Depth

Video: Understanding comparison operators

When the fields in your tables are of a numerical datatype, Access provides additional operators that you can use when writing your queries. One type is called Comparison operators and they sort and qualify data based on the numerical value of the record. Comparison operators are also called relational operators and they don't simply match an exact value or pattern like we saw with the Like operator. Comparison operators return records that match the relationship to a value. For example, whether it's greater than the value you specify or less than or equal to.

Understanding comparison operators

When the fields in your tables are of a numerical datatype, Access provides additional operators that you can use when writing your queries. One type is called Comparison operators and they sort and qualify data based on the numerical value of the record. Comparison operators are also called relational operators and they don't simply match an exact value or pattern like we saw with the Like operator. Comparison operators return records that match the relationship to a value. For example, whether it's greater than the value you specify or less than or equal to.

Let's build a query that takes a look at this. Once again we're going to go the Create tab and Query Design. This time we need some numerical values. So let's take a look at our Products table. I'll double-click on Products to add it to the Query Design View. Go ahead and close the Show Table window and we'll expand this open so we can see all of the fields. Let's go ahead and build our query. We'll double-click on ProductName, Ounces to get the size, and Price to get the price. Let's go ahead and run our query and we'll see that we have a total of 90 records down here at the bottom.

This is our product name, the size in ounces, and the price to the customer. So that's our baseline. Let's go ahead and go back into Design view and we'll take a look at our comparison operators. Let's say that we are interested in all of the products that are less than or equal to 16 ounces in size. We can write it like this: less than or equal to 16. If we run this query we'll see that we have a total of 36 products that are at 16 ounces or smaller.

Let's go back into Design view and I'll go ahead and get rid of this. We could do the same thing with price. Let's say we're looking for all of the products that are greater than $40 in cost, >40. I'll run that query and we'll see that we have a total 19 products that are over $40. Let's take a look at all of the xomparison operators that we can use to build our queries. The first one is Less Than and this is represented by the less than character.

We can use this to answer questions such as all orders below a $100.00. We have Greater Than and this will be used for all orders above $100.00. We have Equal To and we can use this for statements such as Employee Number is 53 or Department is marketing. Take a moment and notice that this is applying to both numerical and text-based data. We have less than or equal to Worked 32 hours or less for example.

Or worked 40 hours or more would use greater than or equal to. We also have not equal to and this is represented by a less than followed by a greater than character. This would help us find where the Employee ID is not 53 or all departments except marketing. Comparison operators are another tool that you can use when filtering your data to the specific records that you want to work with or review. They're useful when you want to locate records that meet or exceed a certain criteria or to highlight areas of opportunity within your organization's data.

By using comparison operators in your queries, you will be better able to quickly and efficiently locate the records with the most relevancy to your specific questions.

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This video is part of

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Access 2010: Queries in Depth

46 video lessons · 13401 viewers

Adam Wilbert
Author

 
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  1. 9m 9s
    1. Welcome
      1m 10s
    2. Using the exercise files
      41s
    3. Introducing the database
      4m 29s
    4. Previewing the course
      2m 49s
  2. 17m 17s
    1. Understanding queries
      3m 31s
    2. Following naming conventions and best practices
      2m 56s
    3. Using the Query Wizard
      5m 21s
    4. Exploring the design interface
      5m 29s
  3. 26m 39s
    1. Defining criteria
      5m 40s
    2. Understanding comparison operators
      3m 19s
    3. Defining the column headers
      2m 49s
    4. Exploring the property sheet
      7m 32s
    5. Printing query results
      2m 41s
    6. Working with joins
      4m 38s
  4. 14m 14s
    1. Understanding parameter queries
      4m 27s
    2. Obtaining parameters from forms
      5m 17s
    3. Creating a combo box
      4m 30s
  5. 23m 24s
    1. Understanding the Totals field
      5m 31s
    2. Creating aggregate calculations
      3m 31s
    3. Exploring the Expression Builder interface
      4m 28s
    4. Using mathematical operators
      5m 46s
    5. Applying text functions
      4m 8s
  6. 24m 23s
    1. Understanding dates as serial numbers
      2m 42s
    2. Specifying a range of dates or times
      3m 47s
    3. Formatting dates
      4m 31s
    4. Using other Date/Time functions
      3m 47s
    5. Defining today's date
      2m 41s
    6. Calculating time intervals
      6m 55s
  7. 20m 9s
    1. Introducing the conditional IIf function
      2m 57s
    2. Creating an IIf function
      7m 31s
    3. Nesting IIf functions
      4m 57s
    4. Using the Switch function
      4m 44s
  8. 20m 41s
    1. Understanding the reporting tool
      2m 13s
    2. Building the form
      6m 57s
    3. Building the query
      5m 4s
    4. Building the report
      3m 30s
    5. Finalizing the reporting tool
      2m 57s
  9. 25m 37s
    1. Finding duplicate records
      2m 17s
    2. Identifying unmatched records
      2m 29s
    3. Creating crosstab results
      2m 57s
    4. Creating backups
      1m 29s
    5. Creating update queries
      3m 22s
    6. Making, deleting, and appending records
      5m 36s
    7. Uniting tables
      3m 16s
    8. Embedding SQL code in queries
      4m 11s
  10. 1m 0s
    1. Next Steps
      1m 0s

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