Exploratory Data Analysis on World Health Organisation’s Life Expectancy dataset

I was reading an article on the Towards Data Science website and found that someone had given a list of datasets that budding data scientists can practice on. Because I am always on the lookout for something unique to practice on and then write a blog post on, I decided to look at Kaggle’s Life Expectancy csv file. The link for this website can be found at:- https://www.kaggle.com/kumarajarshi/life-expectancy-who/code

The Life Expectancy csv file has been compiled from information given by the World Health Organisation, or WHO. I found it to be a quite informative csv file, not unlike the COV19 csv file that I have been working on and making posts on. The only problem with this csv file is the fact that the data has been gathered from 2000 to 2015 and then stops. As a result of this, it has not taken into account the factors that the recent Coronavirus pandemic has played in the life expectancy of any given population. It would be really fantastic if that dataset was current up to the present day, but sadly that is not the case.

Nevertheless, I decided that it would still be beneficial to carry out a data analysis on this dataset, even though the data in it is not current. The dataset does contain historical data, so it can be analysed to find out how historical events have affected…