Data Science Field analysis and Dashboard

This dashboard visualizes data related to salaries in the Data Science (DS) field. Here's a breakdown of the information presented:

Overall:

• The dashboard provides insights into various aspects of DS salaries, including experience level, remote work ratios, employment types, company sizes, and the most popular job titles.
• The data seems to be aggregated, likely representing a snapshot of the DS job market at a specific point in time.

Sections:

• Experience Level: This section uses a donut chart to show the distribution of DS professionals across different experience levels (Entry, Mid-Senior, Senior, Expert). Mid-Senior level appears to be the most common.
• Remote Ratio: A pie chart illustrates the proportion of DS jobs that are fully remote, on-site, or hybrid. Hybrid work arrangements seem to be the most prevalent.
• Number of Employees by Company Location: A bar chart displays the number of DS employees in different countries. The US has the highest number, followed by GB and CA.
• Employment Type: This section uses a bar chart to present the distribution of employment types (Full Time, Part Time, Contract, Freelancer). Full-time employment dominates the DS field.
• Company Size: A pie chart shows the distribution of DS jobs across different company sizes (Small, Medium, Large). Large companies employ the majority of DS professionals.
• Sum of Salary in USD by Job Title: A bar chart illustrates the total salary earned by professionals in various DS job titles. "Data Engineer" and "Data Scientist" appear to have the highest total salary payouts.
• Top Job Titles in Data Science Field: This section uses a bar chart to display the number of professionals holding different job titles in the DS field. "Data Engineer", "Data Scientist", and "Data Analyst" are the most common roles.

Additional Notes:

• The dashboard includes filters for "Work Year" and possibly other criteria, allowing users to refine the data displayed.
• Some sections contain numerical values (e.g., number of employees, percentages) that provide more context to the visualizations.
• The color scheme and layout of the dashboard are designed to be visually appealing and easy to understand.