Group22 Proposal
Revision as of 00:52, 12 August 2018 by Jygao.2017 (talk | contribs)
SMALL LOAN, BIG DIFFERENCE
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Abstract
Kiva is an international non-profit, founded in 2005 and based in San Francisco, with a mission to connect people through lending to alleviate poverty. Kiva celebrates and supports people looking to create a better future for themselves, their families and their communities. What we try to do is detecting the operation mode and the development potential of Kiva.
Key Objectives
What we try to do has two parts.
- For borrowers and lenders.
- First we use two heat maps and line charts making an overview for the whole world, try to have a full sight of MPI (Multidimensional Poverty Index) and basic information about borrowers and lenders.
- Deeply research by using pie charts and line charts about one or two specific countries based on different regionals’ differences. Each region has its own MPI and numbers of orders. Different borrowers have different objectives and money amounts. All these will lead to differences in regions for borrowers and lenders.
- For kiva.
- We have several years’ data, number of orders and amounts will change with time. So, we can help the website see which regions and countries need more advertisements. Provide the world with a better future and less impoverished people.
Challenge
- Data cleaning. Many variables have large amount missing value. Currencies with different measurements.
- Correlation between MPI and number of orders and money amounts. Not all orders from poor countries.
Mission
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STEP |
MISSION |
BY |
WEEK |
STATUS |
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1 |
brainstorm |
All |
4 |
Done |
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2 |
select topic&demo |
All |
5&6 |
Done |
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3 |
consultation |
GAO,JIAOYANG & MU,FUYAO |
7 |
Done |
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4 |
edit wiki page |
YU,ZHECHENG |
8 |
Done |
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Data Description
Demo
