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DataScienceSalaryAnalysis

Salary Analysis and Visualization Dashboard Project Overview This project analyzes employment data using Tableau to create interactive visualizations that explore relationships between salary, job titles, experience levels, company locations, and employment types. The dashboard provides insights into global salary trends and employment patterns. Dashboard Contents The visualization dashboard includes the following charts:

Total Companies by Size and Location

A breakdown of companies in the dataset categorized by company size Geographic distribution of companies Filtering options to explore different locations and company scales

Experience Level Distribution

Visualization of workforce distribution across experience levels (Entry, Mid, Senior, Executive) Comparison of experience level proportions in different regions or industries

Employment Type Analysis

Breakdown of full-time, part-time, contract, and freelance positions Trends in employment types across different sectors

Top 10 Employee Residency Locations

Ranking of the most common employee residence countries/regions Visual representation of workforce distribution globally

Average Salary by Experience and Employment Type

Comparative analysis of how salary scales with experience level Salary differences between employment types (full-time vs contract, etc.) Interactive filters to explore specific combinations

Salary Map Visualization

Geographic heat map showing average salary by country Color-coded representation of global salary disparities Interactive elements to explore regional salary information

Average Salary by Experience Level and Job Title

Detailed breakdown of how compensation varies across job titles Impact of experience on salary within specific job categories Identification of highest and lowest paying job roles

Data Source The visualizations were created using employment and salary data that includes information about job titles, experience levels, employment types, company size, location, and salary information in USD. How to Use

Clone or download this repository Open the Tableau workbook file (.twbx) using Tableau Desktop or Tableau Reader Interact with the visualizations using the provided filters and parameters Hover over data points to see detailed information

Tools Used

Tableau Desktop for creating the visualizations Data preprocessing performed with [tool name if applicable]

Future Improvements

Add time-series analysis to track salary trends over time Include industry-specific breakdowns Incorporate cost of living adjustments for more meaningful salary comparisons

Contributing Contributions to improve the visualizations or expand the analysis are welcome. Please feel free to fork the repository and submit pull requests.

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