This repository has ipython notebooks and a report of an analysis of patterns in Kiva microloan data from Kenya. A good place to start is to go into the report directory and click on report.md. This will lead you to the important notebooks. Enjoy!
file created 2016-05-30
add two python notebooks 2016-06-24
add test change to flatten_kenya.ipynb 2016-06-26
modifield flatten_kenya.ipynb to start functions for flattening several columns 2016-06-27
add draft capstone project proposal pdf 2016-07-01
update flatten_kenya.ipynb. Add kenya_wo_problems.ipynb. This file flattens the Kenya data without flattening cells that result in variable numbers of columns. Thus, flatten_kenya.ipynb is superceded. Add file 4.1_Data_Story_Project_exercise_expanded_w_NLP.ipynp. This file includes the ongoing analysis up to NLP. 2016-08-30
update Kiva_loan_data_analysis.ipynb, readme, readme.md
update Kiva_loan\data_analysis.ipynb, Kiva_loan_analysis_defaults.ipynb readme, readme.md 2016-09-25
update Kiva_loan_analysis_defaults.ipynb KivaloananalysisdefaultsLR.ipynb and readme 2016-10-12
update report files and notebooks 2016-10-30