This year, South Korea’s fertility rate is expected to drop below 1.00.
Decision makers in the year 2020 will be facing many more data driven documents and charts than they did 10 or 20 years prior. But are those decision makers any better equipped to make accurate decisions in such a data rich environment?
This is the third in a series of articles explaining the principles of networks for those who may use them in a data science context.
I strongly believe that the field of data science could benefit greatly from a more frequent use of analogies in communication of key concepts.
I have pieced together ten simple questions that test how well someone knows what they are doing in R.
This is the second in a series of articles explaining the principles of graph theory for those who may use it in a data science context.
This is the third in a series of articles intended to make Machine Learning more approachable to those without technical training.
I find Sankey diagrams super useful for illustrating flows of people or preferences. The networkD3 package in R offers a straightforward way to generate these diagrams without needing to know the ins and outs of the actual D3 code.
The London Tube Map is a seminal piece of design. Anyone who has looked at it remembers what it looks like.
This is the first in a series of articles explaining the principles of graph theory for those who may use it in a data science context.