Welcome to the "Web3 Job Hunt" project! This Jupyter notebook analyzes the blockchain job market by examining job listings data. The insights gained from this analysis include company distribution, salary information, job title distribution, and other key aspects of the blockchain job market, assisting job seekers, employers, and analysts.
The primary goal of this project is to provide a detailed analysis of the blockchain job market, offering insights that help stakeholders make informed decisions.
The project involves several steps:
- Data Loading and Preparation: Load job listings from a CSV file and perform initial data cleaning.
- Exploratory Data Analysis (EDA):
- Company Distribution: Analyzed via bar charts.
- Salary Information: Histograms and box plots show salary ranges.
- Job Title Distribution: Pie charts detail job titles within the sector.
- Additional Analysis:
- Skill and Location Analysis: Identifies in-demand skills and key job locations.
- Trend Analysis: Observes trends over time to assess job market health.
- Interactive Visualizations: Uses Plotly for dynamic and interactive data exploration.
To get started:
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Clone the repository:
git clone https://github.com/satyasn01/web3-job-hunt.git cd web3-job-hunt -
Install requirements:
pip install -r requirements.txt
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Run the Jupyter notebook:
jupyter notebook blockchain_market_analysis.ipynb
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Explore the analysis and visualizations within the notebook.
- Job Seekers: Gain insights into high-demand areas and salary expectations.
- Employers and Recruiters: Understand current market standards to tailor recruitment strategies.
- Analysts: Track and forecast blockchain job market trends.
Interested in contributing? Great! Here's how you can help:
- Open an issue to suggest improvements.
- Submit a pull request with your proposed changes.
For more information, reach out to:
- Email: satyarocket001@gmail.com
- GitHub: satyasn01