for column in new_dataset.columns: limiter = new_dataset[column].quantile(0.99) new_dataset = new_dataset[new_dataset[column] <= limiter] print(new_dataset)

This code snippet seems to have a logical error in the loop. The variable "column" is being used outside the loop after it has completed, which will result in an error.

Here is the corrected code snippet:

for column in new_dataset.columns:
    limiter = new_dataset[column].quantile(0.99)
    new_dataset = new_dataset[new_dataset[column] <= limiter]

print(new_dataset)

This code snippet iterates over each column in the dataset, calculates the 99th percentile value (limiter), and filters out rows where the column value exceeds the limiter. Finally, it prints the updated dataset.