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SQL Data Extraction
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SQL Data Extraction

MediumSQL · PostgreSQL

Problem

Write SQL to extract specific data sets relevant to a Ramp implementation scenario.

Use the provided departments, employees, merchants, and transactions data. Return finalized transactions from 2025, excluding declined and reversed transactions, and treat missing merchant classifications as Unclassified. Compare each department and merchant category with its previous available reporting month.

Output

  1. One row per department, reporting month, and merchant category with finalized activity.
  2. Columns: department_name, reporting_month, merchant_category, monthly_spend, transaction_count, previous_month_spend, spend_change_pct.
  3. Sort by department name, reporting month, and merchant category ascending.

Schema

departments
ColumnTypeDescription
department_idPKINTUnique department identifier
department_nameVARCHAR(100)Department display name
employees
ColumnTypeDescription
employee_idPKINTUnique employee identifier
employee_nameVARCHAR(100)Employee display name
department_idINTDepartment assigned to the employee
merchants
ColumnTypeDescription
merchant_idPKINTUnique merchant identifier
merchant_nameVARCHAR(150)Merchant display name
merchant_categoryVARCHAR(80)Normalized merchant category
transactions
ColumnTypeDescription
transaction_idPKINTUnique transaction identifier
employee_idINTEmployee associated with the transaction
merchant_idINTMerchant associated with the transaction
transaction_dateDATETransaction posting date
amountNUMERIC(12,2)Transaction amount
statusVARCHAR(20)Transaction processing status
Tablesdepartmentsemployeesmerchantstransactions
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