Saudi Employee Attrition Dataset

Researchers examine data about the Saudi private sector to better understand the causes and consequences of employee satisfaction and turnover. The initial step to collect this data was administering an online survey to 1,200 employees of various Saudi Arabian companies. The dataset's question axes were described using a total of 34 qualities, which were informed by insights from the literature and earlier studies on employee turnover prediction.
The dataset includes three CSV files. The first file, “Original Dataset of Employee Attrition,” contains the original data before preprocessing and coding. The second file, “Employee attrition dataset for tree-based models,” contains the data after preprocessing, coding, and being oriented to tree-based models. The third file, “Employee attrition dataset for non-tree-based models,” contains the data after preprocessing, coding, and oriented to non-tree models, where categorical values are converted to numeric form and multi-valued variables are expanded into separate columns. In addition, the dataset includes two PDF files. The first file, “Online Survey Questions,” contains the questions from the data collection online survey. The second PDF file provides keys and descriptions for the nominal, ordinal, and numerical encoding in the dataset, along with the response possibilities for each variable.
The questionnaire was created in Arabic and English to accommodate workers in Saudi Arabia's private sector. It includes 34 closed-ended questions. Also includes a binary target variable (attrition).