Showing pages tagged "Eurostat"
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Dec. 13, 2023
Working with data from official providers: a brief tour of pandaSDMX
I have always been an avid user of official statistics. Eurostat, the OECD, the World Bank, other international organisations and national statistics agencies such as the French INSEE are valuable sources of data. In this post, I present a simple and efficient way of interacting with data from these official providers via the SDMX standard using the pandaSDMX Python library.
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May 10, 2024
Using the Beveridge curve to visualise trends in Germany's labour market
The Beveridge curve is a valuable tool for analysing labour markets. In this post, I use it to identify trends in the German job market from 2010 to 2023. By utilising the D3.js visualisation library, we can explore how Germany's Beveridge curve evolved over time, providing an intriguing perspective on the country's labour market dynamics.