Description:

The dataset comprises anonymized data on salaries in the data science field, capturing various aspects such as experience level, employment type, and remote work ratio.
This dataset can be utilized for analyzing salary trends in data science, including variations across job titles, locations, and experience levels.
It can aid in understanding the impact of factors like remote work, company size, and location on compensation in data science roles.
This dataset can be utilized for analyzing compensation patterns and trends in data science roles across various demographics.
It can help in benchmarking salaries based on experience, job title, and company size, as well as evaluating the effects of remote work and geographic location on salary levels.

Features:

Column Name	Description
work_year	The year in which the salary data was collected.
experience_level	The employee's experience level (e.g., Junior, Mid-level, Senior, Expert).
employment_type	The type of employment (e.g., Full-Time, Part-Time, Contract).
job_title	The title or role of the employee in the data science field.
salary	The employee's salary in the currency specified by salary_currency.
salary_currency	The currency in which the salary is denoted.
salary_in_usd	The employee's salary converted to USD for standardization.
employee_residence	The location of the employee's residence.
remote_ratio	The percentage of remote work allowed for the position (e.g., 0, 50, 100).
company_location	The location of the company where the employee works.
company_size	The size of the company based on employee count (e.g., Small, Medium, Large).