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80 Observations Economics Distribution Analysis v2.0.0 Updated: November 10, 2024
Salaries Distribution (Anonymized)
Anonymized salary data across 8 industries with varying experience levels, education backgrounds, and geographic locations. Perfect for understanding income distributions and outliers.
Data Structure
| Field Name | Type | Description |
|---|---|---|
| employee_id | integer | Unique identifier |
| industry | string | Industry sector |
| experience_years | integer | Years of professional experience |
| salary_usd | integer | Annual salary in US dollars |
| location | string | Geographic location type |
| education_level | string | Highest education level |
Overview
Total Observations 80
Format CSV
License CC BY 4.0 (Open Educational)
Free to use for educational and research purposes.
Sample Data Preview
First 5 rows| employee_id | industry | experience_years | salary_usd | location | education_level |
|---|---|---|---|---|---|
| 1 | Technology | 5 | 95000 | Urban | Master |
| 2 | Finance | 12 | 125000 | Suburban | Bachelor |
| 3 | Healthcare | 3 | 72000 | Urban | Bachelor |
| 4 | Education | 15 | 68000 | Rural | Master |
| 5 | Marketing | 2 | 55000 | Urban | Bachelor |
Cite this Dataset
@misc{salaries-distribution_2024,
author = {PlotNerd Team},
title = {Synthetic Multi-Industry Salary Distribution Dataset},
year = {2024},
publisher = {PlotNerd Open Data},
version = {2.0.0},
url = {https://plotnerd.com/datasets/salaries-distribution}
} APA Format: PlotNerd Team (2024). Synthetic Multi-Industry Salary Distribution Dataset (Version 2.0.0) [Data set]. PlotNerd Open Data. https://plotnerd.com/datasets/salaries-distribution