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This is a small repository to show a data analytic project about patterns in public education spending and its possible later effects.
It uses publicly available data from world bank source, which is collected in WB folder.
I was curious to see if such data would yield insight about which field of expenditure might show measureable effects.
You find the analytic prerequisites in the ipynb file.
You find the public result in https://arnodell.hopto.org/wordpress/index.php/rethink-taxes-for-education/
Any remarks and suggestions are highly welcome!
All code is here in the Jupyter notebook.
It expects installed python 3.12, together with pip, and jupyter-notebook. All further necessary python modules will be installed by running the first code cell of the notebook.
All used data is already assembled in the WB folder.
We are thankful to the open data program of the world bank, which gave us the data files under https://open.worldbank.org
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showcasing some data analysis
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