A data analyst must separate the column shown below into multiple columns for each component of the name: Which of the following data manipulation techniques should the analyst perform?

Imputing involves filling in missing data values with substitute values, not separating existing data within a column.

Transposing involves rotating data, converting rows into columns or vice versa, not separating components within a single column.

Parsing is the process of analyzing a string of characters (like a full name in a single column) and breaking it down into its constituent parts or components based on specific rules or delimiters, such as spaces between words. This allows for separating "John Doe" into "John" (first name) and "Doe" (last name).

Concatenating involves combining multiple strings or columns into a single string or column, which is the opposite of the desired operation.