evaezekwem/Analyzing-Credit-Worthiness-of-Nigeria

This is a data science project that analysis the credit worthiness of Nigeria and also makes a recommendation if Nigeria should be granted an arbitrary $1bn loan from the World Bank. # Analyzing The Credit Worthiness of Nigeria This is a simple data analysis problem built good for anyone looking to get up and running with data analysis using Python. Here we are using a hypothical senerio which can be found below. ### Senerio: You are the secretary general of the United Nations (UN) and you just got a request from World Bank seeking that you consider if Nigeria should be granted a $1bn loan to fund the Economic Recovery Growth Plan of the Nigerian government as a way to help the country recover from economic recession. You have also been provided with the following data sets mostly from World Bank: GDP data of countries of the world (GDP.csv) – source: World Bank (World Bank Open Data) External debt profile of different countries (debt.csv) – source: World Bank (World Bank Open Data) Budget of data for Nigeria only(in Naira) (budget.csv) – Foreign Reserve (Foreign_reserve.csv) – source: World Bank (World Bank Open Data) ### Questions: a. Based on this data recommend to the World Bank if the loan should be granted and why? b. If it will how much in USD should it be? c. If not what do you recommend as next line of action to the World Bank. ### Constraints: The loan must be repaid with in 10 years ### Assumptions: Extra budgetary spending not considered Extra budgetary income(grants, gifts etc) not consider ### Hypothesis: Nigeria cannot pay back $1bn in 10 years ## How to view this project 1. Download and extract this repo to you computer. 2. Download the appropriate version of Anaconda on you computer. anaconda.com 3. Install Anaconda on your computer. 4. After the install launch 'Jupyter Notebook'. N/B: This will start the Jupyter server and also automatically launch you default browser. Please avoid shutting down the server (Jupyter Commandline) 5. From the browser locate the folder you extracted and open the 'Nigeria's Credit Worthiness.ipynb' 6. Enjoy! ## Final Words: 1. Feel free to ada …