Ravindra BagaleCourses & study guides

15. Final Project: Blinkit Maharashtra Monthly Report

15.2 Stage 1 – Clean the Raw Export

Steps in Excel (choose formulas or Power Query)

  1. Formula route (Module 5.18): copy Raw_Orders to Clean › helper columns: =UPPER(TRIM(A2)) for Order ID, =PROPER(TRIM(C2)) for City, a mapping-table lookup to change Aurangabad → Sambhaji Nagar, =VALUE(SUBSTITUTE(SUBSTITUTE(H2,"Rs.",""),",","")) for Amount, date fix with DATE or Text to Columns (DMY).
  2. Remove duplicates: Data › Data Tools › Remove Duplicates on Order ID after the IDs are standardised.
  3. Missing values: leave blank Delivery Mins blank and flag them (=IF(I2="","Missing","")) – don't type 0.
  4. Power Query route (Module 10): Data › Get & Transform Data › From Table/Range › Trim, Clean, Capitalize Each Word, Replace Values, Change Type with Locale (English (India)), Remove Duplicates › Close & Load To… a Table.
  5. Reconcile (ताळमेळ): row count before/after, duplicates removed, total Amount before/after (Module 5, golden rules).

Worked example – reconciliation box.

Check Raw Clean Comment
Rows 412 405 7 duplicates removed
Distinct cities 11 spellings 6 Mapping applied
Amount stored as text 38 0 Converted
Missing Delivery Mins 9 9 (flagged) Not filled with 0

Ravindra Bagale's Tip

Many students run Remove Duplicates first and clean the Order ID afterwards – "blk-9001" and "BLK-9001" are treated as different and the duplicate stays. Remember the order: standardise first (TRIM, UPPER, PROPER), then duplicates. And always build a reconciliation table – interviewers love it.

Practice task

Clean Raw_Orders by either route, fill in the reconciliation table with your real counts, and save the clean data as a Table named tblOrders.