ID,Name,Salary,Country,Age,Email,Month1,Month2,Month3,HireDa…
ID,Name,Salary,Country,Age,Email,Month1,Month2,Month3,HireDate347,John Smith,55000,USA,30,john@umsl.edu,1200,800,2000,2021-06-15582,Emma Johnson,62000,Canada,28,emma@mst.edu,1500,950,2450,2020-09-22419,Raj Patel,48000,India,32,raj@gmail.com,900,600,1500,2022-03-10736,Anna Müller,70000,Germany,35,anna@umsl.edu,1800,1200,3000,2019-12-05264,Liam Brown,53000,UK,29,liam@mst.edu,1200,700,1800,2023-01-18895,Sophia Garcia,65000,USA,31,sophia@gmail.com,1600,1000,2600,2022-07-30178,Wei Zhang,72000,China,33,wei@umkc.edu,2000,1300,3300,2020-05-12654,Noah Wilson,58000,Australia,27,noah@gmail.com,1400,850,2250,2021-11-03903,Fatima Khan,50000,India,30,fatima@gmail.com,1300,900,2200,2023-04-21491,Lucas Silva,46000,Brazil,34,lucas@umsystem.edu,2000,650,1650,2019-08-27327,Olivia Martin,61000,Canada,29,olivia@gmail.com,1450,900,2350,2021-02-14768,Ethan Lee,69000,USA,32,ethan@umkc.edu,1750,1100,2850,2022-10-09 Consider the above dummy data with the file name “data.csv.” Write a command that sorts the data primarily by Month1 expenses and, when Month1 values are equal, secondarily by Month2 expenses, ignoring the header row.