Cleaning and reshaping lists before they become data problems
Lists copied from spreadsheets, forms, exports, and emails often arrive with extra spaces, inconsistent separators, duplicates, blank rows, or mixed ordering. These tools help turn that rough input into a cleaner set of values for analysis, import, comparison, or reuse. They are especially useful when the data is simple enough that opening a spreadsheet or writing a script would be slower than fixing it directly.
Cleaning a list can change its meaning if you are not careful. Sorting removes the original sequence, deduplication can discard repeated events that were intentional, and case-insensitive matching may merge values that should stay separate. Decide what each row represents before applying bulk changes.