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bookNumber filtering

But what if we want to choose a car with small mileage, let it be less than 5000 miles. We need to set the condition to a numeric column.

This also can be done with WHERE statement. For example,


              
123

            
SELECT *
FROM audi_cars
WHERE mileage < 5000
copy

Comparison operators you also can use for numeric columns:

  • < - less than
  • <= - less-equal
  • >= - greater-equal -> - greater
  • = - equal
  • <> - not equal.

Now let's try to find the cheapest car in this dataset.

Task

Swipe to start coding

From the audi_cars dataset extract cars with price less than 10 000.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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Thanks for your feedback!

SectionΒ 2. ChapterΒ 2
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bookNumber filtering

But what if we want to choose a car with small mileage, let it be less than 5000 miles. We need to set the condition to a numeric column.

This also can be done with WHERE statement. For example,


              
123

            
SELECT *
FROM audi_cars
WHERE mileage < 5000
copy

Comparison operators you also can use for numeric columns:

  • < - less than
  • <= - less-equal
  • >= - greater-equal -> - greater
  • = - equal
  • <> - not equal.

Now let's try to find the cheapest car in this dataset.

Task

Swipe to start coding

From the audi_cars dataset extract cars with price less than 10 000.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 2. ChapterΒ 2
single

single

close

Awesome!

Completion rate improved to 2.63

bookNumber filtering

Swipe to show menu

But what if we want to choose a car with small mileage, let it be less than 5000 miles. We need to set the condition to a numeric column.

This also can be done with WHERE statement. For example,


              
123

            
SELECT *
FROM audi_cars
WHERE mileage < 5000
copy

Comparison operators you also can use for numeric columns:

  • < - less than
  • <= - less-equal
  • >= - greater-equal -> - greater
  • = - equal
  • <> - not equal.

Now let's try to find the cheapest car in this dataset.

Task

Swipe to start coding

From the audi_cars dataset extract cars with price less than 10 000.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

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