Manpower EDA Version: 1.0
38 New Insights and Analysis based on Manpower Data Version: 1.0
- Installing Libraries
- Importing Libraries and Dependencies
- Importing Dataset
- Calculating Age
- Data Formatting
- Exploratory Data Analysis
- VISUALIZATIONS
- Top 10 countries from which most of the people are Employeed
- Religion of the Employees
- Highlighted Jobs
- FREQUENT ECONOMIC ACTS
- EDUCATIONAL LEVEL OF THE EMPLOYEES
- GOVERNORATE RANKING ON THE BASIS OF FREQUENCY FROM Highest TO LEAST
- MARITAL STATUS OF THE EMPLOYEES
- TOP 10 COMPANIES IN WHICH THE MAJOR PROPORTION OF PEOPLE IS EMPLOYEED
- TOP HIRING MONTHS
- SALARIES OFFERED BY COMPANIES
- COUNTRIES with HIGHEST MEAN SALARIES
- JOBS WITH HIGHEST MEAN SALARY
- HIGH MEAN SALARIES OF DIFFERENT EDUCATIONAL BACKGROUNDS
- GOVERNORATE WITH HIGHEST MEAN SALARIES
- COMPANIES IN DIFFERENT COUNTRIES WITH HIGHEST MEAN SALARIES
- EDUCATIONAL LEVEL OF EMPLOYEES IN COMPANIES THAT ARE OFFERED WITH HIGHEST MEAN SALARIES
- COMPANIES IN GOVERNORATE WITH HIGHEST MEAN SALARIES
- Companies offering Maximum salary
- INSIGHT
- INSIGHT
- INSIGHT
- INSIGHT
- INSIGHT
- INSIGHT
- Ages of Employee
- MAX SALARY ACCORDING TO AGE
- INSIGHT
df.isnull().sum()
data.columns
data['COUNTRY_DESC'].unique()
data['RLGION_DESC'].unique()
data['JOB_DESC'].value_counts()
data['EDUCATION_DESC'].unique()
data['SALARY'].value_counts()
data['GOVERNORATE_DESC'].unique()
data['MARITAL_STATUS_DESC'].unique()
data['COMPANY_NAME'].unique()
data['HIRE_DATE'].value_counts()
data['Age'].value_counts()
data.info()