Skip to content

Latest commit

 

History

History
4 lines (4 loc) · 385 Bytes

README.md

File metadata and controls

4 lines (4 loc) · 385 Bytes

Providing EDA for KIVA.org's financial data with Python (pd, np, plt, sns)

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.