Classwork 7

Taxonomy of Data

Consider the following data.frame, netflix_data, displayed below:

Description of Variables in netflix_data:

1. UserID: Identifier for each user
2. Age: Age of the user in years
3. Gender: Gender of the user
4. SubscriptionPlan: Type of Netflix subscription
5. FavoriteGenre: User’s favorite genre
6. HoursWatched: Average hours watched per week
7. LastLoginTime: Time of last login in hours since midnight
8. AccountMonths: Age of the account in months
9. Satisfaction: User satisfaction rating (1 to 5 stars)
10. nDevices: Number of devices connected
11. LastMovieRating: Rating of the last watched movie (1.0 to 10.0)
12. nProfiles: Number of profiles on the account
13. Language: User’s preferred language

Question 1

What type of variable is FavoriteGenre in the dataset?

1. Nominal
2. Ordinal
3. Interval
4. Ratio

Show answer

✅ Answer: a. Nominal — FavoriteGenre represents non-ordered categories.

Question 2

What type of variable is SubscriptionPlan in the dataset?

1. Nominal
2. Ordinal
3. Interval
4. Ratio

Show answer

✅ Answer: b. Ordinal — Subscription plans follow a natural order: Basic < Standard < Premium.

Question 3

What type of variable is LastLoginTime in the dataset?

1. Nominal
2. Ordinal
3. Interval
4. Ratio

Show answer

✅ Answer: c. Interval — Time since midnight has meaningful differences but no absolute zero.

Question 4

What type of variable is Satisfaction in the dataset?

1. Nominal
2. Ordinal
3. Interval
4. Ratio

Show answer

✅ Answer: b. Ordinal — Satisfaction rating is ranked, but the distance between levels is not precise.

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