| Ratings | 32,000,204 |
| Users | 200,948 |
| Items | 84,432 |
| Density | 0.189% |
| Item Gini | 0.952 |
| Start Date | 1995-01-09 11:46:44 |
| End Date | 2023-10-13 02:29:07 |
ML32M Data Description
Rating Statistics
Item Statistics
Now let’s look at the distributions of item statistics. What is the distribution of popularity?
Let’s also look at this as a Lorenz curve, for clarity:
What is the distribution of average ratings?
User Statistics
How are user averages distributed?
And what is the distribution of user activity levels (# of ratings)?
Ratings over Time
The MovieLens ratings have timestamps, so we’ll also look at a temporal view of the data.
Data Volume
How did the data grow over time?
How many ratings are we getting each month through the life of the data set?
User Activity
Monthly unique users is a good measure of user activity.
How long do users usually stick around?
