This project provides a detailed analysis on a survey conducted among 630 data professionals. The main aim was to understand the demographics, job satisfaction, salary distribution, and preferred technologies of these professionals, whose average age is 29 years.
- The survey data was collected and stored in a '.csv' format.
- Download and unzip the '.zip' files to access '.csv' data files.
- Open provided '.pbix' file in Power BI Desktop to access pre-configured dashboard.
- How much does the average salary change among different job positions within the data profession?
- What programming languages are preferred among data professionals?
- How much does salary distribution vary by gender?
- Which countries do the survey takers come from, and what are their overall satisfaction levels regarding salary and work/life balance?
Considering these aspects a dashboard is built through various interactive visuals after performing ETL operations on the survey data. The dashboard provides key information about the industry acquired from data professionals working within the industry.
- Salary Insights - Bar chart visualizes salary variations across different roles within the data profession, providing clarity on compensation trends while pin-pointing roles with higher financial gains.
- Skill Insights - Column chart depicts the popularity of programming languages among survey participants, showing technological preferences and highlighting skills in demand within the data field.
- Pay Parity Insights - Pie chart depiction provides a breakdown of average salary distribution by gender, highlighting potential disparities in pay.
- Global Distribution Insights - Treemap, maps the geographical distribution of participants, showing a visual representation of global spread and regional concentrations of data professionals.
- Contentment Insights - Gauge charts, measures job satisfaction levels, specifically focusing on salary satisfaction and work/life balance. These gauges provide quick visual feedback on the overall contentment of the surveyed professionals.
- Demographics - Two card visuals display the total number of survey participants and their average age. These cards aid in understanding the survey group better.
