I have a plain text file (PLEASE CONFIRM YOU HAVE READ THIS AND THAT YOU HAVE VIEWED THE ATTACHED FILE) that stores one data entry per line, and I need those records laid out cleanly in a spreadsheet (Excel or Google Sheets). The file’s exact delimiter isn’t clear to me, so the first task is to inspect a sample, identify whether the values are comma-, tab-, or otherwise separated, and then parse it correctly. Here’s what I’m looking for: • Detect the delimiter and confirm the field structure. • Convert the full dataset into a tidy spreadsheet with each field in its own column. • Preserve any header information or, if none exists, create logical column headers based on the data. • Deliver the final file in .xlsx format (plus the original parser script if you automate the task). Accuracy matters more than speed; every line should land in the correct column without truncation or misalignment. If you have experience handling ambiguous TXT/CSV imports—whether via Excel, Python (pandas), or similar tools—this will be straightforward. Once you finish, send me the spreadsheet and a brief note on how you handled the delimiter so future updates are easy.