This is my very first blog post and my first attempt to analyse a dataset post learning python. I have recently joined the Kaggle community as well as Github and slowly finding my way through them!
As an Egyptian working in Finance, I found the Africa Economic, Banking and Systemic Crisis Data quite interesting to investigate!
Now this dataset has a lot of juice to squeeze which I will be posting about in the future but for now I was able to compare North African Currency(in USD) from 1860 – 2014.
The Dataset was clean and needed no work in that area however it displayed the usd exchange rate in the country’s local currency so I had to change the local currency to USD by dividing it by 1.
df['exch_ccy_usd'] = 1/df['exch_usd']
- Tunisia’s currency was able to “outperform” the rest of North African Countries with Egypt being second currency in terms of USD price.
- There is a definite decrease in Egypt’s currency during the end of the 1970s and around the 1990s where Tunisia was able to maintain its currency’s worth.
- Tunisia currency was able to bounce during the end of 1960s.