In this work I have made an attempt to provide data analysis on KIVA.org's open-source statistics. The keh hypothesis: relatively poor countries with underdeveloped financial institutions have a more vivid tendency to apply for microloans from KIVA Based on the results of EDA, the hypothesis was accepted.
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A showcase open-data project related to identifying the key issues faceb by Kiva.org's borrowers worldwide -why borrowing small amounts of funds online can be a tricky thing
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