The following data type is crucial for us; it helps check if a specific condition was satisfied.

Imagine that you want to store data about users who continued subscriptions after a trial period and who canceled.

The best way is to divide users into two groups: False if users canceled the subscriptions and True if one continued. We can create a table where one boolean value (True or False) will correspond to the statuses of users' subscriptions. We will practice it in the next chapter.

There are two ways to define several conditions:

• With the or statement: here, if at least one condition equals True, the whole statement equals True; otherwise, it is equal to False. Look at the examples:

True or True = True
False or True = True
False or False = False

• With the and statement: here, if at least one condition equals False, the whole statement equals False; otherwise, it is equal to True. Look at the examples:

True and True = True
False and True = False
False and False = False