INTRODUCTION:-
One can download the dataset from->  
       https://www.kaggle.com/kiva/data-science-for-good-kiva-crowdfunding
#### In this notebook I'm analysising Kiva Dataset. 
Kiva.org is an online crowdfunding platform to extend financial services 
to  poor and financially excluded people around the world.
 Kiva lenders have provided over 1 billion dollars in loans to over 
2 million people. In order to set investment priorities, 
help inform lenders, and understand their target communities, 
knowing the level of poverty of each borrower is critical. 
However, this requires inference based on a limited set of information 
for each borrower.
#### There are some questions, which I'm analysising, are given below:-

* Q1). Top 10 Countires that got maximum number of times Loan.
* Q2). Let's create wordcloud for the countries according to the number of times they got loan.
* Q3). Top 10 Countries that got maximum amount of total loan.
* Q4). Top 10 Sectors that got maximum amount of total loan.
* Q5). Top 10 Activity that got maximum amount of total loan.
* Q6). Loan Amount Distribution.
* Q7). Let's get insight about the Repayment interval of loans.
* Q8). Let's get information about the lender count.
* Q9). Gender Distribution of Borrower.
* Q10). For which durations(month) maximum number of loans are there.
* Q11). Top 10 Countries with highest MPI (Multidimentional Poverty Index).
* Q12). Top 10 Countries with low MPI (Multidimentional Poverty Index).
* Q13). MPI on World Map.
* Q14). Time Series Analysis of funded amount.
* Q15). India's Loan distribution with neighbour countries.
* Q16). Top 10 sectors , that got maximum amount of loan in India.
* Q17). Top 10 Activities , that got maximum amount of loan in India.
* Q18). Top 10 Cities , that got maximum amount of loan in India.
* Q19). Gender Distribution for borrower in India.
* Q20). Number of Times Loans were given to India and it's neighbour.
* Q21). Repayment Interval of Loans to India.
* Q22). Top 10 Cities that got maximum number of times loan from India and it's neighbour.
* Q23). Regions of India that got loans, Ploting on map.