[
  {
    "Query": "Find the last recorded claim date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Show total claims created during FY 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q2 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in February 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q2 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in February 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show the most recent claim created date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Show total claims made during August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q3 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in April 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in June 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in July 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Display the latest claim entry date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Give me the date of the most recent claim.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Claims submitted in Q2 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q3 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in financial year 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in October 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q4 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q3 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in July 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in December 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q4 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims registered in FY 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in February 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q1 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in October 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q3 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q2 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q2 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims registered in FY 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in March 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q1 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q4 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q3 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims created during FY 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 60 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in May 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims created during FY 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q4 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q1 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in December 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2022-2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q2 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2022-2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 30 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q3 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in financial year 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q2 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 7 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in March 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims created during FY 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q1 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q4 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Give me the date of the most recent claim.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "How many claims were created in June 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q4 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims registered in FY 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 60 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during October 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in February 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q1 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show the most recent claim created date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Show claims from the past 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q4 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims created during FY 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in June 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q3 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in October 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "What is the last claim date in the data?",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "How many claims were created in April 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in October 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims registered in FY 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in July 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in financial year 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2023-2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in July 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Find the last recorded claim date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "How many claims were created in May 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in financial year 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during July 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q2 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q1 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in December 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q2 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in March 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in June 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in December 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q2 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in April 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q4 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in October 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in February 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q1 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q2 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in March 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in March 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q3 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in October 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Display the latest claim entry date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "How many claims were created in November 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q2 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in October 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2022-2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims registered in FY 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in October 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims created during FY 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2024-2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q2 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in February 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q1 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in financial year 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Find the last recorded claim date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Count claims filed in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q4 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in July 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q3 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in October 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "What is the last claim date in the data?",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Show total claims made during August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in June 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q4 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Find the last recorded claim date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Count claims filed in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q2 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in October 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q2 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims registered in FY 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in May 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in December 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2023-2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in July 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Display the latest claim entry date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Count claims filed in December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in July 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 30 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2022-2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in June 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in financial year 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Display the latest claim entry date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Claims submitted in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q1 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in December 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in March 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2024-2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in May 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims created during FY 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in July 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "What is the last claim date in the data?",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Give me the date of the most recent claim.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Count claims filed in May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q2 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q3 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 7 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in May 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q4 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 14 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q2 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q3 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in October 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q3 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q3 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in May 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q1 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during July 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in October 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q1 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q3 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in February 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q3 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in October 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q1 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q2 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2024-2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in July 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in December 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q2 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Find the last recorded claim date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Claims submitted in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2022-2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2023-2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-08-01') & (df['Final_Outcome_Date'] <= '2025-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q2 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q3 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in financial year 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q3 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in June 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q1 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 60 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in January 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during October 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q3 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in March 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in October 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during October 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in October 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in July 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in May 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in December 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 7 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q3 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q1 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in June 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q4 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in August 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q3 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q2 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q4 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during August 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-08-01') & (df['Final_Outcome_Date'] <= '2024-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in April 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in December 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q2 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in the last 60 days?",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q1 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Give me the date of the most recent claim.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "How many claims were created in July 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2024-2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims registered in FY 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in September 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in March 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in last 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in November 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims registered in FY 2024-2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in January 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in July 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in March 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in September 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-09-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in February 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in October 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-06-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in April 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-04-01') & (df['Final_Outcome_Date'] <= '2025-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in April 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in November 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-11-01') & (df['Final_Outcome_Date'] <= '2024-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q3 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims created during FY 2022-2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2022-04-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in July 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-07-01') & (df['Final_Outcome_Date'] <= '2024-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in May 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims filed during Q4 of 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-10-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Display the latest claim entry date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Count claims filed in April 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in February 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-02-01') & (df['Final_Outcome_Date'] <= '2024-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in financial year 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in December 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-12-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims filed in financial year 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in September 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-09-01') & (df['Final_Outcome_Date'] <= '2023-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q4 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-10-01') & (df['Final_Outcome_Date'] <= '2024-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in July 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during March 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-03-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q2 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in June 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-06-01') & (df['Final_Outcome_Date'] <= '2025-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q3 of 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during April 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-04-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q2 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during December 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-12-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-07-01') & (df['Final_Outcome_Date'] <= '2023-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 60 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('60 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q1 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q4 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in June 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-06-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims in quarter Q1 of 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in May 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-05-01') & (df['Final_Outcome_Date'] <= '2024-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in November 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-11-01') & (df['Final_Outcome_Date'] <= '2025-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in August 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-08-01') & (df['Final_Outcome_Date'] <= '2023-08-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q3 of year 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in March 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-03-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in October 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-10-01') & (df['Final_Outcome_Date'] <= '2025-10-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in Q1 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-01-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during May 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-05-01') & (df['Final_Outcome_Date'] <= '2025-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in March 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-03-01') & (df['Final_Outcome_Date'] <= '2023-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q3 2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show claims from the past 7 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('7 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count claims filed in February 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-02-01') & (df['Final_Outcome_Date'] <= '2023-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in July 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-07-01') & (df['Final_Outcome_Date'] <= '2025-07-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in December 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-12-01') & (df['Final_Outcome_Date'] <= '2023-12-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in financial year 2023-2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q2 2024?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2024-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were made in financial year 2024-2025?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-04-01') & (df['Final_Outcome_Date'] <= '2025-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Count of claims raised in Q1 of year 2024.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2024-01-01') & (df['Final_Outcome_Date'] <= '2024-03-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Display the latest claim entry date.",
    "pandas_code": "result = df['Final_Outcome_Date'].max()"
  },
  {
    "Query": "Number of claims recorded in May 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-05-01') & (df['Final_Outcome_Date'] <= '2023-05-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in November 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-11-01') & (df['Final_Outcome_Date'] <= '2023-11-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "How many claims were created in Q2 2023?",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-04-01') & (df['Final_Outcome_Date'] <= '2023-06-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during February 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-02-01') & (df['Final_Outcome_Date'] <= '2025-02-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted during the last 30 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('30 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Claims submitted in September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims recorded in January 2023.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2023-01-01') & (df['Final_Outcome_Date'] <= '2023-01-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Show total claims made during September 2025.",
    "pandas_code": "mask = (df['Final_Outcome_Date'] >= '2025-09-01') & (df['Final_Outcome_Date'] <= '2025-09-31')\nresult = df[mask].shape[0]"
  },
  {
    "Query": "Number of claims filed in previous 14 days.",
    "pandas_code": "cutoff_date = pd.Timestamp.today() - pd.Timedelta('14 days')\nmask = df['Final_Outcome_Date'] >= cutoff_date\nresult = df[mask].shape[0]"
  }
]