Upwork Job Market Analysis 📊

Overview 🎯

A data analysis project examining trends and patterns of the job market on Upwork. This project analyzes job postings, requirements, and market demands to provide insights into the freelancing ecosystem.

Check out here 👀

Hosted version

Features 🌟

• Analysis of job requirements and skill demands
• Visualization of salary ranges and project budgets
• Geographic distribution of job postings
• Trend analysis of emerging technologies and tools
• Interactive dashboard for exploring the data

Tech Stack 🛠️

• Python for data analysis and processing
• Pandas for data manipulation
• Jupyter Notebook for interactive analysis
• Data visualization libraries (Matplotlib, Seaborn)
• Google Data Studio for dashboard creation

Project Structure 📁

upwork_dashboard/
├── analysis.ipynb        # Main analysis notebook
├── dashboard.py          # Dashboard implementation
├── queries.py           # Data query functions
├── requirements.txt     # Project dependencies
├── upwork_clean.csv    # Processed dataset
├── upwork_dataset.csv  # Raw dataset
└── README.md           # Project documentation

Key Findings 💡

• Distribution of expertise levels required (Entry/Intermediate/Expert)
• Most demanded programming languages and frameworks
• Average project budgets across different categories
• Popular project durations and time commitments
• Geographic trends in job postings

Getting Started 🚀

1. Clone the repository
2. Install dependencies:

pip install -r requirements.txt

3. Run Jupyter Notebook:

jupyter notebook analysis.ipynb

Data Sources 📚

• Primary dataset: Upwork job postings
• Time period: 2023
• Total records analyzed: 60448