This project presents an interactive Power BI dashboard that visualizes and analyzes survey responses from 617 data professionals worldwide. It explores trends in salaries, programming language preferences, career entry difficulty, and job satisfaction across various data roles and geographies.
| File | Description |
|---|---|
Data_Industry_Survey_Analysis.pbix |
Main Power BI report file containing all visuals and calculations |
The single-page interactive dashboard includes:
- Average Salary by Job Title – Bar chart comparing salaries across roles
- Favourite Programming Language – Column chart showing language preferences
- Country of Survey Takers – Treemap for geographic distribution
- Difficulty Breaking into Data – Donut chart representing career entry difficulty
- Happiness with Salary – Gauge showing compensation satisfaction
- Happiness with Work/Life Balance – Gauge for work/life satisfaction
- Count of Survey Takers & Average Age – KPI cards summarizing respondents
- Power BI Desktop (v2026.02) for dashboard development
- Power Query for data cleaning, transformation, and deriving average salaries
- DAX for calculated measures such as averages, counts, and satisfaction scores
- Data Visualization with bar charts, column charts, treemaps, donut charts, gauges, and KPI cards
- Real-world survey collected by Alex Freberg (Alex the Analyst)
- 617 records across 28 columns covering: job titles, salary ranges, countries, favourite programming languages, career entry difficulty, satisfaction scores, and age
- Data Scientists earn the highest average salaries, followed by Data Engineers and Data Architects
- Python is the most popular programming language
- The United States leads in average salaries, while India has the lowest
- Most respondents rated entering the data field as moderate difficulty
- Work/life balance satisfaction scores are generally higher than salary satisfaction
- Install Power BI Desktop (free)
- Open
Data_Industry_Survey_Analysis.pbix - Explore the dashboard with slicers and cross-filtering for dynamic insights
- Developed as part of a Power BI internship project using survey data from Alex the Analyst
If you want, I can also rewrite it in a super concise, 2–3 slide PPT version that highlights only the essentials for a live presentation. That will make it much easier to showcase. Do you want me to do that?