<s>[INST] ### About the dataset
The dataset is about a pay-as-you-go bike sharing system, where, as the name suggests, customers can rent bikes for a certain time period.
The dataset consists of 6 variables: casual, registered, count, date, month, and day
- casual and registered represent the number of casual/registered renters each hour (casual users rent bikes for fun/leisure).
- count represents the total number of bike rentals each hour.
- the other three variables are date, month, and day.

### Objective
Your task is to investigate the seasonality of bike rentals to see if we can gain any insights on how the usage of the bike rental system differs by time of day and day of the month - specifically:
* What is the usage at different time of the day
* How many of those are casual and registered bike users
* What is the usage at different day of the month

### Questions:
* Can you load the dataset and show a bit more of columns and their respective data types?[/INST]