Research problem
Settlements may differ significantly in their sectoral mix and business-size structure. The objective is to turn complex economic profiles into interpretable typologies.
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Data Science / Applied Research
Economic typologies of Hungarian settlements
Classifying settlements by business structure and relating the resulting types to municipal fiscal indicators.
RSQLSPSSClustering
Analytical workflow
Data integration, calculation of sectoral shares and concentration measures, clustering, and comparison of financial indicators between the identified groups.
Methodological considerations
Accounting for mixed variable types, interpretability of cluster solutions and sensitivity checks.
Further projects
Data Engineering / Business Intelligence
Processing energy-market regulatory data
SQL-based data pipelines, data quality controls and analytical datasets within a regulatory environment.
SQL ServerT-SQLPower BI
Business Intelligence / GIS
Regional data analysis and visualisation
Mapping, comparing and interpreting financial and institutional indicators across territorial units.
SAS EGQGISArcGISBI
Software Development / Automation
Data-processing and programming demonstrators
Small applications and experiments for data ingestion, conversion and analytical workflow support.
PythonC#.NETRGit