Data Professional Survey Visualization

Data Professional Survey Breakdown

Introduction

This report presents a comprehensive visualization of the Data Professional Survey results. Utilizing Power BI, we've extracted key insights regarding salary by country and job title, preferred programming languages, current roles, work/life balance, and salary satisfaction, segmented by gender.

Dashboard Components

Salary Analysis

• Sum of Average Salary by Country

  • Visualized as a bar chart, illustrating the average salaries for data professionals in the United States, India, Canada, and other countries.

• Average Salary by Job Title

  • A bar chart showing the average salary for different roles: Data Scientist, Data Engineer, Data Architect, and others.

• Average of Average Salary by Gender

  • A donut chart detailing the average salary distribution between male and female data professionals.

Professional Role and Satisfaction

• Current Role of Survey Takers

  • A horizontal bar chart displaying the number of survey participants by their current role, with categories such as Data Analyst, Student, Data Engineer, etc.

• Happy with Work/Life Balance

  • A gauge chart measuring the happiness of survey participants with their work/life balance.

• Happy With Current Salary

  • Another gauge chart evaluating the satisfaction level of professionals with their current salary.

Programming Preferences

• Favorite Programming Language
  • A stacked bar chart depicting participants' favorite programming languages, such as Python, R, and others.

Survey Metrics

• Count of Survey Takers: 630
• Average Age of Survey Takers: 29.87

Insights and Observations

1. The United States has the highest average salary among the surveyed countries.
2. Data Scientists are the highest earners according to job title.
3. Python is data professionals' most preferred programming language.
4. The majority of the participants are Data Analysts.
5. There is a notable gender salary gap as shown in the average salary comparison.
6. Satisfaction with work/life balance and current salary is moderate, indicating potential areas for improvement in the industry.

Conclusion

The visualizations provide valuable insights into the state of the data profession, highlighting the need for salary equity and job satisfaction enhancement.

For a fully interactive experience, please refer to the Power BI dashboard.

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