What can be inferred if the pickupLongitude column in a dataflow shows a Count of 1000 and a DistinctCount of 935?

The inference that the pickupLongitude column has duplicate values is based on the relationship between the Count and DistinctCount values. The Count of 1000 indicates that there are a total of 1000 entries in the column. However, the DistinctCount of 935 shows that there are only 935 unique values represented among those 1000 entries.

This discrepancy implies that multiple rows must contain the same values, meaning some values are repeated across different rows. If all values were unique, the DistinctCount would match the Count, leading to the conclusion that there are duplicates present in the column data.

In this scenario, the other options can be assessed as follows:

• The option suggesting the column has unique values only cannot be valid since the distinct count is less than the total count.

• The notion that all the table rows are unique is disproven by the fact that the total number of entries (1000) exceeds the number of distinct entries (935).

• The idea that there are no missing values in the column cannot be confirmed solely based on the information provided, as the data does not specify anything about the presence or absence of null values.

Thus, the conclusion about duplicate values is the only supported inference based on the comparison of