Which tool is designed to remove specific characters or modify text data?

The Data Cleansing Tool is specifically designed to handle the removal of specific characters and the modification of text data within Alteryx. This tool provides various functions that enable users to clean their data by removing unwanted characters (such as whitespace, punctuation, or specific letters) and modifying text format (like standardizing casing or removing nulls). Its capabilities greatly facilitate the preparation of text data for further analysis by ensuring that the data is uniform and free from extraneous elements that could affect the quality of the analysis.

In contrast, the Summarize Tool primarily focuses on aggregating data statistics, such as counts, sums, and averages, rather than manipulating text. The Count Records Tool is used to tally up the number of records within a dataset, providing numerical insights rather than text modification functionalities. Lastly, the DateTime Tool is designed to handle date and time formats, enabling users to perform transformations related to date-time data, rather than directly altering textual information. Thus, the Data Cleansing Tool is the most appropriate choice for removing or modifying characters in text data.