For this project, I visualized data from a 630 respondent survey from data professionals. The data contains the ID, email, gender, age, location, job title, education, ethnicity, salary and answers to survey questions of data professionals who have taken the survey. The questions asked are the following:

Which Title Best Fits your Current Role?

Did you switch careers into Data?

Current Yearly Salary (in USD)

What Industry do you work in?

Favorite Programming Language

How Happy are you in your Current Position with the following? (Salary)

How Happy are you in your Current Position with the following? (Work/Life Balance)

How Happy are you in your Current Position with the following? (Coworkers)

How Happy are you in your Current Position with the following? (Management)

How Happy are you in your Current Position with the following? (Upward Mobility)

How Happy are you in your Current Position with the following? (Learning New Things)

How difficult was it for you to break into Data?

If you were to look for a new job today, what would be the most important thing to you?

Cleaning

I used Power Query in Power BI to correct some issues within the data. Some columns were split using a delimiter to clean the data for effective visualization. DAX was used to create a calculate column displaying the average salary.

Insights

The dashboard I created points out some key insights. I added a slicer to look at the data by country. However, looking at all respondents from every country, we see that the average age for those who participated in this survey is 30.

Salary

The data shows that data scientists have the highest average salary. Females make slightly more than males when it comes to average salary.

Tools

Python is the leading favorite programming language among the data professionals who took this survey. R is in second place.

Job Satisfaction

The Gauge visualizations show that data professionals aren't satisfied with their current salary. They are moderately satisfied with work/life balance.

Other

The majority of respondents are neutral when it comes to the difficulty of breaking into a data career.

United States Insights

231 of the respondents are based in the United States and the average age is 30. Python is still the leading favorite programming language. Data professionals are more satisfied with work/life balance and salary in the US. Male data professionals have a higher average salary that female data professionals.