Data Science Salary Analysis

An interactive data visualization project analyzing salary trends, job demand, and geographic distribution in the data science field.

Live Demo

View Interactive Dashboard

Data Source

kaggle Dataset

Features

• Salary Trends Analysis: Interactive charts showing salary progression over time
• Geographic Distribution: World map visualization of data science salaries by location
• Job Demand Insights: Analysis of market demand for different data science roles
• Interactive Dashboards: Multiple optimized HTML dashboards for data exploration

Project Structurer

• index.html # Main dashboard entry point
  • salaries.csv # Original salary dataset
  • dashboard.html # Main interactive dashboard
  • salary_trends.html # Salary trends over time
  • world_map.html # Geographic salary distribution
  • job_demand.html # Job market demand analysis

Technologies Used

• Python: Data analysis and processing (original notebooks)
• Altair: Statistical visualization library
• Pandas: Data manipulation and analysis
• Jupyter Notebooks: in VScode
• HTML/JavaScript: Web deployment for sharing

Key Analysis Areas

• Salary Trends: Compensation patterns across experience levels and time
• Geographic Distribution: How location affects data science salaries
• Job Market Demand: Analysis of role availability and requirements
• Role Comparisons: Salary differences between data science positions

From Notebook to Web

This project demonstrates converting Python/Altair notebook analysis into shareable web visualizations, making data insights accessible to a broader audience through GitHub Pages.

Topics

datascience python altair jupyter-notebook data-visualization salary-analysis

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Originally developed in VScode notebooks with Python & Altair, now shared as interactive web dashboards.