How to normalise inconsistent category labels in teradata?

@addison 

To normalize inconsistent category labels in Teradata, you can use the following steps:

1. Identify the inconsistent category labels in your dataset. This can be done by examining the data and looking for variations in spelling, capitalization, abbreviations, and synonyms for the same category.
2. Create a mapping table that links the inconsistent category labels to a standardized set of labels. This mapping table can be created manually or through automated processes such as fuzzy matching algorithms.
3. Use the UPDATE statement in Teradata to update the inconsistent category labels in your dataset with the standardized labels from the mapping table. For example:

1
2
3
4
5
6

UPDATE dataset
SET category = (
    SELECT standardized_label
    FROM mapping_table
    WHERE inconsistent_label = dataset.category
);

1. Once the category labels have been standardized, you can use them for analysis, reporting, and other data processing tasks.

By following these steps, you can normalize inconsistent category labels in Teradata and improve the consistency and accuracy of your data.