I have designed the HR Employee Distribution Dashboard by using Power BI after cleaning and Analyzing the HR Dataset using My SQL Workbench
Data - HR Dataset with over 22214 rows from the year 2000 to 2020.
Data Cleaning & Analysis - MySQL Workbench
Data Visualization - PowerBI
- What is the gender breakdown of employees in the company?
- What is the race/ethnicity breakdown of employees in the company?
- What is the age distribution of employees in the company?
- How many employees work at headquarters versus remote locations?
- What is the average length of employment for employees who have been terminated?
- How does the gender distribution vary across departments and job titles?
- What is the distribution of job titles across the company?
- Which department has the highest turnover rate?
- What is the distribution of employees across locations by state and city?
- How has the company's employee count changed over time based on hire and term dates?
- What is the tenure distribution for each department?
- There are more male employees
- White race is the most dominant while Native Hawaiian and American Indian are the least dominant.
- The youngest employee is 22 years old and the oldest is 58 years old
- 5 age groups were created (18-24, 25-34, 35-44, 45-54, 55-64). A large number of employees were between 35-44 followed by 25-34 while the smallest group was 55-64.
- A large number of employees work at the headquarters versus remotely.
- The average length of employment for terminated employees is around 8 years.
- The gender distribution across departments is fairly balanced but there are generally more male than female employees.
- The Auditing department has the highest turnover rate followed by Legal. The least turn over rate are in the Services, Business Development and Marketing.
- A large number of employees come from the state of Ohio and the city of Cleveland.
- The net change in employees has increased over the years.
- The average tenure for each department is about 8 years with Sales having the highest and Legal, Support, Training and Product Management having the lowest.
- Some records had negative ages and these were excluded during querying(967 records). Ages used were 18 years and above.
- Some termdates were far into the future and were not included in the analysis(1338 records). The only term dates used were those less than or equal to the current date.