Normalise Messy Expense Claims

SQL practice question · Medium · Data Cleaning · Deloitte

Claims came from two tools. claim_date_raw is either 'YYYY-MM-DD' or 'DD/MM/YYYY' (day first), possibly with surrounding spaces. amount_raw may contain the rupee sign '₹', the text 'INR' (any case), thousands commas (including Indian style 1,00,000) and spaces. Return employee_id, claim_month ('YYYY-MM') and total_amount (ROUND to 2) per employee and month. Order by employee_id, claim_month.

Table: expense_claims

Schema of expense_claims
ColumnType
claim_idINTEGER
employee_idINTEGER
claim_date_rawTEXT
amount_rawTEXT
Sample rows of expense_claims
claim_idemployee_idclaim_date_rawamount_raw
15012026-01-14₹1,200.50
250128/01/2026300
350103/02/2026INR 450
45022026-01-31 99.99
55022026-02-01₹2,000
650215/02/2026INR 1,000.25
Expected output on the sample data
employee_idclaim_monthtotal_amount
5012026-011500.5
5012026-02450
5022026-0199.99
5022026-023000.25

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