I like exploring data sets to find interesting patterns from them. To that end, I was exploring a data-set: List of companies by revenue and I added a column to calculate Revenue/Employee to explore the dataset:
And I found an outlier!
Here’s the outlier: Exor
Here’s what it’s interesting:
It’s revenue in 2012 is: 109.15 billion USD
And number of employees is just 40!
Just think of Revenue/Employee !
To put things in perspective, Lets Compare that with its neighbor in the data-set:
Rank | Company | Industry | Revenue in USD billion | Employees
I got to know about this by quickly creating a data visualization to explore the data-set:
And removing Trafigura, Vitol and Exor, this is what we have:
Observation: oil and gas industry have relatively higher revenue/employee ration.
That’s about it for this post. Thanks for reading about my data exploration!
- Playing w/ the Occupational employment Statistics Data-Set: (parasdoshi.com)