Experimenting With The Data Professional Salary Survey

Mala Mahadevan investigates a potential correlation in the data professional salary survey:

The questions I was looking at are as below:
1 Is there any correlation between experience and number of hours worked?
2 Is there any correlation between experience and job duties/kinds of tasks performed?
3 Is there any correlation between experience and managing staff – ie – do more people with experience take to management as a form of progress?

I am using this blog post to explore question 1.

Click through to see if there is a correlation between experience and hours worked.  One critique I have is that years of experience is not normally distributed:  there’s a hard cutoff at 0, so although the possible range does follow what a hypothetical normal distribution would do (and it doesn’t really affect the analysis Mala did), that difference can be important in other analyses.

Related Posts

The Costs of Specialization within Data Science

Eric Colson argues in favor of data science generalists rather than specialists: But the goal of data science is not to execute. Rather, the goal is to learn and develop profound new business capabilities. Algorithmic products and services like recommendations systems, client engagement bandits, style preference classification, size matching, fashion design systems, logistics optimizers, seasonal trend detection, and more can’t be […]

Read More

Accidentally Building a Population Graph

Neil Saunders shares an example of a newspaper headline which ultimately just shows us population sizes: Some poking around in the NSW Transport Open Data portal reveals how many people enter every Sydney train station on a “typical” day in 2016, 2017 and 2018. We could manipulate those numbers in various ways to estimate total, unique […]

Read More

Categories

March 2018
MTWTFSS
« Feb Apr »
 1234
567891011
12131415161718
19202122232425
262728293031