https://github.com/edjoukou/human_resources
A data analysis project using MySQL Server database
https://github.com/edjoukou/human_resources
analysis data mysql powerbi sql visualization
Last synced: 9 months ago
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A data analysis project using MySQL Server database
- Host: GitHub
- URL: https://github.com/edjoukou/human_resources
- Owner: EDJOUKOU
- Created: 2024-11-02T15:22:46.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-02T15:43:26.000Z (over 1 year ago)
- Last Synced: 2025-04-01T14:45:44.704Z (about 1 year ago)
- Topics: analysis, data, mysql, powerbi, sql, visualization
- Homepage:
- Size: 889 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Human Resources Report
## Project Overview
This data analysis project uses HR data to evaluate key aspects of a company's workforce. Through a comprehensive examination of employee demographics, distribution, tenure, and turnover rates, the objective is to gain insights that will support strategic HR decisions and foster an inclusive and efficient work environment.
## Data Source
The dataset utilized for this project consists of employee information recorded in a CSV file, with columns including `empl_id`, `first_name`, `last_name`, `birthdate`, `gender`, `race`, `department`, `jobtitle`, `location`, `hire_date`, `termdate`, `city`, and `state`.
## Tools
- **MySQL Workbench 8.0**: For data analysis and processing
- **Power BI**: This creates visual reports and insights.
## Data Cleaning and Preparation
In the initial phase, the following steps were undertaken:
1. Data loading and preliminary inspection.
2. Standardizing data types to ensure consistency.
## Exploratory Data Analysis
The following questions were explored to extract meaningful insights from the HR dataset:
1. What is the gender breakdown of employees in the company?
2. What is the race/ethnicity breakdown of employees?
3. What is the age distribution across the workforce?
4. How many employees work at headquarters versus remote locations?
5. What is the average tenure for terminated employees?
6. How does gender distribution vary across departments and job titles?
7. What is the distribution of job titles across the company?
8. Which department has the highest turnover rate?
9. What is the geographical distribution of employees by city and state?
10. How has the employee count changed over time?
11. What is the tenure distribution within each department?
## Data Analysis
Data analysis was conducted on MySQL server Workbench, where SQL queries were executed to derive answers to each of the questions posed.
## Results/Findings
1. A balanced gender distribution was observed across the organization.
2. Race/ethnicity analysis provided insights into diversity within the workforce.
3. Employees were categorized as Young Professionals, Mid-career, and Experienced based on age.
4. Headquarters had the largest employee count, with notable representation in remote locations.
5. The average tenure for terminated employees was observed to be 3 years.
6. Gender representation varied by department and job title, providing insights into departmental diversity.
7. Distribution of job titles highlighted the roles in the highest demand.
8. The department with the highest turnover was identified for targeted retention strategies.
9. Most employees were concentrated in specific cities and states.
10. Employee headcount trends showed fluctuations tied to hiring and terminations over time.
11. Tenure distribution helped gauge employee experience levels across departments.
## Recommendations
Based on the analysis, the following strategies are recommended:
- **Promote Diversity**: Continue fostering an inclusive culture by addressing disparities in gender and ethnicity.
- **Focus on Retention**: Address high turnover departments with tailored retention programs.
- **Enhance Remote Work Options**: Given the significant number of remote employees, enhance remote work policies to maintain productivity and engagement.
- **Strategic Staffing**: Use insights on tenure and job titles to inform succession planning and training programs.