Microsoft Fabric, Data Engineering, Data Science, Python.
spark.read.format("csv").option("header","true").load("Files/landing_2/clients.csv") transactions_df = transactions_df.filter(col("status") == 'approved') daily_transaction_count = transactions_df.join(client_df, transactions_df.card_number == client_df.credit_card_number) \ .groupBy('city') \