ABOUT TABLEAU:
Tableau is a powerful data visualization software that allows users to easily connect to and analyze various types of data sources, including spreadsheets, databases, and cloud services. With Tableau, users can create interactive dashboards, reports, and charts to explore and communicate insights from their data. Tableau's drag-and-drop interface and intuitive tools make it accessible to both technical and non-technical users, while its advanced features, such as data blending and predictive analytics, make it a valuable tool for data scientists and analysts. Tableau is used in a variety of industries, including finance, healthcare, retail, and education, to help businesses make data-driven decisions and achieve their goals.
ABOUT DATASET:
The IBM Human Resource record dataset is a fictional dataset that simulates HR data from IBM. The dataset contains information on 1,470 employees, including their age, gender, marital status, education level, job role, job satisfaction, salary, performance rating, work-life balance, and years with the company.
The dataset consists of 35 columns and 1,470 rows, with no missing values. The target variable is Attrition, which indicates whether an employee has left the company or not.
Other variables in the dataset include:
Age: The age of the employee in years.
BusinessTravel: The frequency of the employee's business travel.
Department: The department in which the employee works.
DistanceFromHome: The distance between the employee's home and workplace.
Education: The employee's highest level of education.
EnvironmentSatisfaction: The employee's satisfaction with their work environment.
Gender: The gender of the employee.
JobInvolvement: The employee's level of involvement in their job.
JobLevel: The level of the employee's job in the organizational hierarchy.
JobRole: The employee's job role.
JobSatisfaction: The employee's satisfaction with their job.
MaritalStatus: The employee's marital status.