Data Salary Analysis Dashboard

This project is a Streamlit web application for exploring and visualizing salary data for data-related jobs across different countries, years, seniority levels, and company sizes. It uses a local CSV file as the data source and provides interactive filters and visualizations to help users analyze salary trends and distributions.

Layout

Features

• Interactive dashboard built with Streamlit
• Data loaded from a local CSV file (data_salaries_database.csv)
• Filters for year, seniority, contract type, and company size
• Key metrics: average salary, maximum salary, total records, most frequent job
• Visualizations: bar charts, histograms, pie charts, and choropleth maps using Plotly
• Detailed data table for further exploration

Tech Stack

• Frontend: Streamlit
• Backend: Python, Pandas, Plotly
• Data Source: CSV file

This project was based on Imersao Dados com Python from Alura, and modified by IgorJFS.