Build a data-driven Django web app that explores trends in global tech job salaries. The project uses structured datasets (e.g., from Stack Overflow Developer Survey or Kaggle datasets) to analyze how factors like country, job title, experience, and remote work affect compensation.
Deliverables:
- Project Overview & Motivation
- Introduce the project’s goal: understanding salary trends across the tech industry.
- Explain the real-world relevance (e.g., helping job seekers or HR teams identify fair pay based on role/location).
- Data Collection, Cleaning & Preprocessing
- Describe the dataset used (country, job title, salary, remote status, experience, etc.).
- Explain how missing values, currency inconsistencies, or outliers were handled using pandas.
- Exploratory Data Analysis & Feature Engineering
- Share patterns found: e.g., salary by country, job title, remote vs. on-site.
- Discuss grouping, aggregations, or any features you derived (e.g., binning experience levels or categorizing countries by income tier).
- Visualizations & Insights
- Present bar charts, box plots, and heatmaps using matplotlib/seaborn.
- Highlight key findings (e.g., “Remote developers in Eastern Europe earn 40% more than local-only peers.”).
- Web App Implementation with Django
- Show how the cleaned dataset was integrated into a Django app.
- Demo features: salary filter by country/job/experience, interactive charts, and a simple dashboard.
- Mention tools used: Django models/views/templates, GitHub, Bootstrap (if used), Jupyter for analysis.