Find duplicate Excel rows and separate them for review
Find rows with exact matches in all four columns and collect them in a new Excel file with their original row numbers. Review each duplicate group, including its first occurrence.
Organize tables and check numbers to create clear work documents.
Step by step, with examples
Find rows with exact matches in all four columns and collect them in a new Excel file with their original row numbers. Review each duplicate group, including its first occurrence.
Validate dates and work hours in a CSV, then save monthly record counts and total hours as a CSV and a bar chart.
Before turning a table into sentences, align the subject, period, denominator, and unit. Use a synthetic monthly results table to check a value that changed from 80 % to 82 % and a unit conversion, then build a reusable checklist.
Merge worksheets that use the same columns into one Excel table while recording which sheet each row came from. A small synthetic workbook lets you verify the row order, counts, and totals by hand.
Merge several PDFs into one file, extract an inclusive page range into a second file, and verify the resulting page counts and order. A synthetic set of blank pages with deliberately different dimensions makes the result checkable by hand.
Convert several known date formats into ISO-style YYYY-MM-DD values while keeping the original CSV unchanged. Values that do not match an approved format or are not valid calendar dates are written to a separate review file.
Summarize order-level CSV data by month with pandas, then reconcile the grouped counts, units, and amounts against the source. A small synthetic example makes every expected result easy to verify by hand.
Try a short search term such as CSV or AI.
All examples are for practice. Automotive data is synthetic and used for illustration.