Can you write down the result?

Sure, the result from the data is as follows: Total salary: 41,869,312. Average salary: 10,467,328. Highest salary: 39,482,309 in Patana. Lowest salary: 34,234 in Mumbai. If you want a breakdown by city, Pune has two customers with a combined salary of 2,352,769 and an average of 1,176,384.5. Patana has one customer with 39,482,309, and Mumbai has one customer with 34,234. These figures give you a quick snapshot of the salary distribution across the cities represented in the dataset. If you need the data in a tabular format, I can provide a CSV or a SQL result set. To compute these metrics, you can use the following SQL query: SELECT SUM(Salary) AS total_salary, AVG(Salary) AS avg_salary, MAX(Salary) AS max_salary, MIN(Salary) AS min_salary FROM customers; For city-level aggregation: SELECT City_Name, COUNT(*) AS customer_count, SUM(Salary) AS city_total, AVG(Salary) AS city_avg FROM customers GROUP BY City_Name; This will give you the same numbers as above and can be used for further analysis. Additionally, you can visualize these results using a bar chart or a heat map to quickly spot any anomalies or patterns across cities.