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Indonesian Career Compensation Data
Data Science and Analytics
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About
Job descriptions and associated salaries within Indonesia, featuring over 34,000 job entries. The primary objective is to facilitate the prediction of job salaries based on various employer-provided descriptions. It offers significant value to individuals and companies seeking to estimate the remuneration for particular roles. The data was collected on 13 March 2022 and has previously been utilised in the FindIT 2022 Data Analytic Competition, organised by the Department of Electrical Engineering and Information Technology at Universitas Gadjah Mada, Indonesia.
Columns
- id: A unique identifier for each job entry.
- job_title: The specific title of the job.
- location: The geographical location of the company.
- salary_currency: The currency used for the stated salary.
- career_level: The career seniority level, such as manager or CEO.
- experience_level: The level of experience required for applicants.
- education_level: The minimum educational qualification required for applicants.
- employment_type: Specifies the type of employment, e.g., full-time, part-time, or internship.
- job_function: The broader category or function of the job.
- job_benefits: Any benefits provided by the company.
- company_process_time: The average duration for the company to respond to applicants.
- company_size: The approximate number of employees within the company.
- company_industry: The sector in which the company operates.
- job_description: A narrative description of the job role and responsibilities.
- salary: The salary amount offered by the company.
Distribution
The dataset is primarily available as a CSV file (
all.csv) with a size of 45.02 MB. It contains more than 34,000 job records across 15 columns. While job_title has 34.5k valid entries, several columns exhibit a notable number of missing values. For instance, job_description has 70% missing values, and salary has 74% missing values, with only 16 valid entries for salary figures, a mean of 3.21k, and a standard deviation of 10.8k.Usage
This dataset is ideal for:
- Developing predictive models for job salaries.
- Conducting exploratory data analysis on the Indonesian job market.
- Identifying key features that influence job remuneration.
- Practising data cleaning and preprocessing techniques.
- Participating in data analytic competitions focusing on HR or economic data.
Coverage
The dataset covers job information specifically within Indonesia. The data was collected on 13 March 2022. It includes a variety of job types, career levels, and company details relevant to the Indonesian employment landscape.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: For building salary prediction models and understanding labour market dynamics.
- Job Seekers: To gain insights into expected salaries for various roles in Indonesia.
- Employers and HR Professionals: For benchmarking salaries and understanding market rates for different positions.
- Researchers: Studying employment trends, compensation structures, and educational requirements in Indonesia.
Dataset Name Suggestions
- Indonesian Job Salary Predictions
- Indonesia Employment Data 2022
- Job Market Analysis Indonesia
- Indonesian Career Compensation Data
- FindIT 2022 Job Dataset
Attributes
Original Data Source: Indonesian Career Compensation Data
QUALITY