The estimated table size is inaccurate

### Query engine

Spark

### Question

Hi, team!
The SparkSchemaUtil. estimateSize method calculates the size based on the default size of the field type and the number of rows, may differ significantly from the actual size.
May I ask if there are any areas that can be improved?
https://github.com/apache/iceberg/blob/eb460a524f3a192e3584a3bdabcff237c38b04a4/spark/v4.1/spark/src/main/java/org/apache/iceberg/spark/SparkSchemaUtil.java#L339

The discovery of this issue is due to the different execution plans of Spark querying the parquet source/iceberg tables.
Spark default field size percentage based on file size：
https://github.com/apache/spark/blob/10dd228d4c09166c2cb744cb0e3e7f15385afae0/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/statsEstimation/SizeInBytesOnlyStatsPlanVisitor.scala#L34

May I ask if it is possible to use the manifest file for more accurate statistics?