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This Power BI dashboard analyzes survey data from data professionals, highlighting salary trends, job roles, and career satisfaction. It provides insights into work-life balance, programming language preferences, and industry demographics.

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Data Professional Survey Dashboard

This repository contains a Power BI dashboard summarizing insights from a survey of 630 data professionals. The dashboard provides key metrics on salaries, work-life balance, programming language preferences, and demographics of respondents.

Dashboard Screenshot:

Image

Key Insights

  • Total Survey Responses: 630

  • Average Age of Participants: 29.87 years

  • Pay Difference by Gender:

  • Male: 50.8%

  • Female: 49.2%

Salary Insights

Highest Average Salary: Data Scientist ($94K)

Other Roles:

  • Data Engineer: $65K

  • Data Architect: $64K

  • Data Analyst: $55K

  • Database Developer: $33K

  • Student/Looking for Jobs: $27K

Programming Language Preferences

  • Most Popular Language: Python

  • Other Languages: R, C/C++, JavaScript, Java

Happiness Ratings (Scale: 0-10)

Work-Life Balance: 5.74

Salary Satisfaction: 4.27

Career Growth Satisfaction: 4.76

Respondent Demographics Top Countries:

  • United States (Largest Group)

  • India

  • Other Regions

Repository Contents

README.md: Documentation for the project.

How to Use

  • Open dashboard.pbix in Power BI to explore the dataset.

  • Modify filters to analyze specific insights.

  • Use survey_data.xlsx for further analysis.

About

This Power BI dashboard analyzes survey data from data professionals, highlighting salary trends, job roles, and career satisfaction. It provides insights into work-life balance, programming language preferences, and industry demographics.

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