Fundamentals of Data Analysis Inclusive and non-inclusive comparison

19. Inclusive and non-inclusive comparison

Let’s examine the query to count signups after 1, Jan 2018:

SELECT COUNT(*)
FROM users
WHERE
  signup_date > '2018-01-01'

We used the greater than > non-inclusive operator. Non-inclusive means that signup dates that are exactly '2018-01-01' will be filtered out and we won’t see them in the query’s output ⚠

If we want to keep signups from 1st of January we should use inclusive comparison operator greater or equals than >=:

SELECT COUNT(*)
FROM users
WHERE
  signup_date >= '2018-01-01'

Same with numbers, if we want to calculate users who are younger than 50 we can use less than < operator:

SELECT COUNT(*)
FROM users
WHERE
  age < 50

but this query ☝ won’t include users who are exactly 50 years old. If we want to filter for 50-year-olds as well we should use less than or equals operator:

SELECT COUNT(*)
FROM users
WHERE
  age <= 50

Keep an eye for such issues 🔍 Imagine a company had a sale on the last day of the month. Someone calculates monthly revenue and by mistake doesn’t include the last day of the month – the highest revenue day will be excluded from the analysis. 📉 ⚠

Before you go to the next lesson go and play with inclusive and non-inclusive comparison operators in the Playground and see how counts will differ. 🚀

Anatoli Makarevich, author of SQL Habit About SQL Habit

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-- Type your query here, for example this one -- lists all records from users table: SELECT * FROM users
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