Salary Dataset
@kaggle.rohitgrewal_salary_data
@kaggle.rohitgrewal_salary_data
This salary dataset contains real-world salary information collected from multiple companies across different locations, job roles, and employment types. It is designed to help understand salary trends, pay distribution, and factors influencing compensation in the job market.
The dataset consists of 22,000+ records, making it suitable for exploratory data analysis (EDA), data cleaning, visualization, and business insights generation using Python.
This data is available as a CSV file. We are going to analyze this data set using the Pandas DataFrame.
This analysis will be helpful for those working in Jobs & Career domain.
Using this dataset, we answered multiple questions with Python in our Project.
Q1: Which Job Roles have Highest Average Salary?
Q2: Which Cities Offer Highest Average Salary?
Q3: Name those 5 companies located in 'New Delhi' with Ratings of '5', offering highest & lowest salaries.
Q4: Which Job Title has the highest number of salary reported?
Q5: Which 10 Companies provide the highest average salary, when at least 20 employees have reported their salaries?
Q.6: Check and show the relationship Between Ratings & Salaries.
Q.7: Does employment status affect salary?
Q.8: Which job roles are most common?
Q.9: How does average salary change as company rating increases?
At Last : A Mini Dashboard
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These are the main Features/Columns available in the dataset :
Company Name : The name of the organization offering the job.
Job Roles : The broader role category or functional role related to the job (e.g., Web, Android).
Location : The city where the job is based.
Salary : The annual salary offered for the role (numerical value).
Rating : The company’s average employee rating (usually on a scale of 1 to 5).
Employment Status : The type of job role such as Full Time, Intern, Contractor, or Trainee.
Salaries Reported : The number of employees who reported their salary for that specific role and company.
Job Title : The specific designation or position (e.g., Data Analyst, Data Scientist, Software Engineer).
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