Which Alteryx tool is designed for data cleansing tasks?

The Data Cleansing Tool is specifically designed for tasks related to cleaning and preparing data for analysis. This tool provides various options to address common data quality issues, such as removing unwanted characters, trimming whitespace, converting data types, and handling null values. Its primary purpose is to enhance the integrity and usability of datasets, making it a vital part of data preparation processes.

While the Data Filter Tool is useful for eliminating unwanted rows based on specific conditions, it does not address the broader range of issues found in data that require cleansing. The Quality Control Tool focuses more on assessing the quality of data and ensuring it meets certain standards rather than cleaning it. The Data Transformation Tool, on the other hand, is aimed at changing the structure or format of data rather than directly cleaning it.