Exploring Correlations Between Job Satisfaction and Demographic Variables

Apr 1, 2024, 12:29 PM

Determine the correlation between job satisfaction and age, gender, experience, ethnic group, income

The dataset's column names are not descriptive, making it difficult to directly identify which columns correspond to job satisfaction, age, gender, experience, ethnic group, and income. We'll rename the columns based on our best understanding for clarity and then proceed to calculate the correlation.

Correlation Summary

  • Job Satisfaction and Age: Moderate positive correlation (0.44), indicating that job satisfaction tends to increase with age.
  • Job Satisfaction and Gender: Very weak negative correlation (-0.02), suggesting almost no relationship between job satisfaction and gender.
  • Job Satisfaction and Experience: Weak positive correlation (0.15), suggesting a slight increase in job satisfaction with more experience.
  • Job Satisfaction and Ethnic Group: Moderate positive correlation (0.48), indicating that job satisfaction varies significantly across different ethnic groups.
  • Job Satisfaction and Income: Weak positive correlation (0.29), indicating that higher income is somewhat associated with higher job satisfaction.

Visualize this for me

We visualized the correlation between job satisfaction and various factors such as age, gender, experience, ethnic group, and income. The visualization highlights:
  • Age and Ethnic Group show moderate positive correlations with job satisfaction, suggesting these factors are more strongly associated with job satisfaction.
  • Experience and Income have weak positive correlations, indicating a slight association.
  • Gender has a very weak negative correlation, suggesting almost no relationship with job satisfaction.
This visualization aids in understanding the relationship between job satisfaction and these factors at a glance.
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