Implement `ANALYZE TABLE` support

### Is your feature request related to a problem or challenge?

ANALYZE TABLE command is used to calculate statistics. Spark's documentation can be seen [here](https://spark.apache.org/docs/latest/sql-ref-syntax-aux-analyze-table.html)

This can allow us to do things like:
- Accurately calculating distinct values (with the choice of just counting everything or using a hyperloglog)
- Allowing the user to recalculate statistics and calculate them upfront instead of lazily if suspected statistics have gotten stale.
- Memtable stat calculations

### Describe the solution you'd like

Something similar to spark's implementation makes sense

Syntax:
```sql
ANALYZE TABLE table_identifier
COMPUTE STATISTICS [ NOSCAN | FOR COLUMNS col [, ...] | FOR ALL COLUMNS ]
```

`COMPUTE STATISTICS` (nothing else after it): Only calculate table stats (num_rows + total_byte_size)
`NOSCAN`: Don't probe/scan any values - just return
`FOR COLUMNS col [, ...]`: table stats + calculating specified columns stats (min, max, null, etc.)
`FOR ALL COLUMNS`: All column stats are calculated (min, max, null, etc.)

- when specified for specific columns; when it is under a certain amount of columns + row count. A direct computation of distinct count can be done.

- Maybe histogram support, this will need to be discussed if anything
- Maybe a way to persist statistics

### Describe alternatives you've considered

_No response_

### Additional context

_No response_