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Python and Data Manipulation
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Python and Data Manipulation

MediumSQL · PostgreSQL

Problem

Describe Python and how you handle data manipulation.

For this PostgreSQL exercise, demonstrate the same data preparation principles by producing a clean user-level summary from the provided tables. Include only active users and treat completed records with non-null, non-negative amounts as valid.

Output

  1. One row per active user, including users without valid records
  2. Columns: user_id, user_name, completed_count, total_amount, and latest_completed_date
  3. Sort by user_id ascending

Schema

users
ColumnTypeDescription
user_idPKINTUnique user identifier
user_nameVARCHAR(100)User display name
account_statusVARCHAR(20)Current account status
records
ColumnTypeDescription
record_idPKINTUnique record identifier
user_idINTUser associated with the record
statusVARCHAR(20)Processing status of the record
amountNUMERIC(10,2)Recorded amount
record_dateDATEDate associated with the record
Tablesusersrecords
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