Understanding the Data

• 1st variable refers to working year, and is in year format like “2021” “2022
• 2nd variable refers to designation, which says job profile
• 3rd variable refer to experience, which says the level of experience as “EN” = entry level, “MI” = mid level/intermediate, “SE” = senior level/expert, “EX” = executive level/Director.
• 4th variable refers to employment status as “FT”(full time), “PT”(part time), “CT”(contract), “FL”(freelance)
• 5th variable refers salary in Indian rupees.
• 6th variable refers location of an employee as IN = india, HK = hong kong,ES = spain, etc.
• 7th variable refers to office location as IN = india, PT = portugal,GB = united kingdom, etc.
• 8th variable refers company size as “s”(small - less than 50 employees), “m”(medium - 50-250 employees), “l”(large - more than 250 employees)
• 9th variable refers remote working ratio as “0”- no remote work, “50” - partially remote, “100” - fully remote

Average Pay as per Work Experience

workex

Average Pay as per Employment Status

(stat_graph)

Average Pay as per Company Size

size_graph

Average Pay as per Designation

des_plot

Reference

• Aman Chauhan.(Sept,2022). Data science Fields Salary Categorization [Data Set]. Kaggle. Retrived from https://www.kaggle.com/datasets/whenamancodes/data-science-fields-salary-categorization