Description
This data is taken from the Kaggle website, which is registered data for the salaries of employees in San Francisco state for four years.
Observing and analyzing the salaries of employees helps us to understand the general state of salaries, understanding the criteria by which the salary can be expected, the jobs that are popular in a region that reflects the social situation and the level of prosperity and happiness, detecting corruption in the state and many other advantages that we obtain through salary analysis employees.
In this project I cleaned the data using Python starting from reading it as "csv" file and exploring it and then cleaning it and finally saving it as an "xlsx" file.
I explored the cleaned data using Excel, and deleted some unnecessary columns, then asked some questions about the data in the "analysis" sheet, then I made a simple report using the answers "Report" sheet, and I also built a very simple dashbord in "Dashboard" sheet.
Tech. Used
Python
Excel
Data
columns:
Id
EmployeeName
JobTitle
BasePay
OvertimePay
OtherPay
Benefits
TotalPay
TotalPayBenefits
Year
Agency
Files
Salaries_orignal data
python code to clean orignal data
cleaned data
project
Report_pdf
اسم المستقل | Yusuf M. |
عدد الإعجابات | 0 |
عدد المشاهدات | 66 |
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