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Eurobarometer surveys measure European public opinion on EU policies, political trust, social values, and economic outlook across all EU member states. Used in data engineering for social science analytics pipelines, longitudinal survey analysis, and building political sentiment tracking systems in Python.
Eurobarometer survey data is available as SPSS (.sav) or Stata (.dta) files from the GESIS archive. Engineers use `pandas.read_spss()` or `pyreadstat` to load microdata, handling weighted survey responses and complex coding schemes for cross-national analysis.
Eurobarometer data trains AI models for public opinion analysis and political sentiment prediction. Fine-tune text classifiers on survey response patterns, or build a RAG system indexed on Eurobarometer reports so LLMs can answer 'How has European trust in the EU Parliament changed since 2010?'
# pip install pyreadstat pandas
import pyreadstat, pandas as pd
# Download EB SPSS file from GESIS first: https://www.gesis.org/eurobarometer-data-service
df, meta = pyreadstat.read_sav("EB_99_1_ZA7953_v1-0-0.sav")
print(f"Rows: {len(df)}, Columns: {len(df.columns)}")
print(df["isocntry"].value_counts().head(10))Official dataset source
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