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Projects funded by the World Bank with JSON



This small project uses's data set of projects funded by the World Bank. I work with JSON strings and files using packages such as numpy, pandas, and json. Using JSON file, I find the 10 countries with most projects, the top 10 major project themes (using column 'mjtheme_namecode'), and I clean up a dataframe by filling in missing values.


iPython Notebook

I used Jupyter's iPython notebook to present my data analysis. The full notebook is located in my GitHub.

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