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
| 48 | Koch Industries | Conglomerate | 110.00 | 60000.00 |
| 49 | EXOR | Investment | 109.15 | 40.00 |
| 50 | Cardinal Health | Pharmaceuticals | 107.55 | 40000.00 |
| 51 | CVS Caremark | Retail | 107.10 | 202000.00 |
| 52 | IBM | Computer services | 106.92 | 433362.00 |
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!
Related articles
- Playing w/ the Occupational employment Statistics Data-Set: (parasdoshi.com)
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