- 🔎 Project Description
- 🎯 Problem Statement
- 📊 Data Overview
- 🛠 Project Workflow
- 📈 Quality Metrics
- 🧩 Skills Practiced
- 💡 Conclusions
Vacancy data analysis from HH.ru using PostgreSQL. This project involves data cleaning, pattern discovery, feature engineering, and aggregation for enhanced analysis quality.
Read, analyze, and create a new dataset based on the current data by manipulating and aggregating it.
- Vacancy data from HH.ru
- Employer information
- Data on salaries, requirements, and working conditions
- Load the dataframe
- Get acquainted with the data
- Perform preliminary data analysis
- Detailed vacancy analysis
- Employer analysis
- Subject-matter analysis
- Draw final conclusions taking intermediate findings into account
Quality metrics include removing outliers from tables and normalizing graphs accordingly.
- Reading databases
- Writing correct and optimized SQL queries
- Aggregating various data types
- Joining, grouping, and merging multiple tables