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If you have tools, everything looks chartable

January 16, 2015 By editor

Data and charts seem to be inseparable. If there’s data, the temptation to visualize it can be irresistible. We have all these amazing tools that produce amazing graphics with the press of a button—and showing the data feels honest.

But it’s often a “cover your ass” strategy. The job of a data scientist is to make sense of data…draw insights from it—not summarise it in a technical picture.

Sarah Slobin, a graphics editor at the Wall Street Journal, came to a similar conclusion while working on a story recently.

Data visualization is a worthy craft. We can tell important stories with data. We can illuminate complex issues and expose lapses. We can inform and delight readers and make good apps. We need to remember that behind the data are stories and inside those stories are people and those people are connected to the statistics in a way that we never will be, regardless of how badass we are with our tools, how rockstar-smart our code is, or how facile we are in manipulating the information.

Filed Under: Data analysis Tagged With: visualization

Data science with F#

January 15, 2015 By editor

R is great for doing data analysis, but it can be frustrating as a programming language. It doesn’t feel familiar to developers—it pays greater homage to its statistical heritage—and there’s little consistency across the community-built packages.

F#, on the other hand, is first and foremost a programming language. And, as it’s a .NET language, it has access to a enterprise-grade tooling and libraries. As a functional language, it’s a natural fit for scientific and big data computations.

If you are interested in exploring F# as a data science language there’s a great place to get started—the data science section of the F# site.

As well as learning how to use F#, you’ll learn how it integrates with most of the popular data science tools, such as:

  • Excel
  • R
  • MATLAB
  • Python
  • Mathematica

Filed Under: Data analysis Tagged With: programming

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