Data Professional Survey Dashboard

📊 Project Overview

This project analyzes survey data from data professionals to uncover insights on:

• Work/Life Balance happiness.
• Satisfaction with salary.
• Favorite programming languages.
• Average salary by job title.
• Demographics distribution by country.

The dashboard was created using Power BI to visualize the data interactively and provide easy-to-understand insights.

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🖼 Dashboard Overview

Below is a screenshot of the dashboard:

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🛠 Key Features

1. Happiness Scores:

   • Work/Life Balance: The average score for work-life balance is 5.74 out of 10.
   • Happiness with Salary: Satisfaction with salary has an average score of 4.27 out of 10.

2. Survey Taker Demographics:

   • Average age of survey respondents: 29.87 years.
   • Total respondents: 630 participants.
   • Gender ratio: 51.41% male and 48.59% female.

3. Programming Language Preferences:

   • Python is the most popular programming language, followed by R and others.
   • The visualization shows the distribution of respondents by their preferred programming language.

4. Salary Analysis:

   • The highest average salary is earned by Data Scientists, followed by Data Architects and Data Engineers.
   • Other roles, such as Data Analysts and Database Developers, have lower salary ranges.

5. Geographical Breakdown:

   • Most respondents are from the United States, followed by India, United Kingdom, and other countries.
   • A Treemap is used to display the distribution of respondents by country.

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