This Power BI dashboard analyzes survey responses from data professionals, covering key aspects such as salary distribution, job satisfaction, and preferred programming languages. The insights help understand trends in the data industry and what matters most to professionals.
Salary Analysis: Breakdown of average salaries by job role and gender.
Programming Language Popularity: Favorite programming languages among professionals.
Demographics: Participants' distribution by country, age, and gender.
Happiness Metrics: Job satisfaction related to salary, work-life balance, and career growth.
Interactive Visuals: Power BI charts for deeper data exploration.
Data Scientists earn the highest average salary, followed by Data Engineers and Architects.
Python is the most popular programming language, followed by R and SQL.
Survey respondents have an average age of ~30 years, with the USA, India, and Canada being the top participant locations.
Happiness with salary is moderate (~4.27/10), while work-life balance satisfaction is slightly higher (~5.86/10).
Deeper Analysis: Further breakdowns by experience level and company size.
Trend Analysis: Compare responses from previous years.
Interactivity Enhancements: More filters for better data exploration.
This project provides a comprehensive analysis of survey responses from data professionals, offering valuable insights into salaries, job satisfaction, and technology preferences. Interactive Power BI visuals help users explore trends and make data-driven decisions. Future improvements can enhance interactivity and expand the analysis for deeper insights.