10 Nov
Interesting Perspectives.
Disclaimer upfront. This is not a political blog. While the world around us is getting adjusted to the reality of Donald Trump as the president elect of the US, he proved almost the entire media and the data science pundits wrong, though some of them had been consistent in their prediction of Trump’s victory.
07 Nov
Revisiting Jurassic Park.
One of my favorite scenes in the film Jurassic Park is the conversation that happens over lunch table on the conflict between Science, Commerce and Ethics. Jeff Goldblum playing the role of a chaos theorist asks a bunch of poignant questions on the ethics behind the whole creation of the park, the technology and how...
07 Nov
Periodic Table
Most of us would have studied about the Periodic Table from our school days and some of us in a little more detail based on what we chose as our majors. For its inventor Dimitri Mendeleyev, it was the recurring patterns on the physical and chemical properties on certain elements that helped him group them...
06 Nov
The Data Science struggle – the Dilbert way.
The moment I finished my previous post on the possible reasons for the Data Science struggle at organizations, I could not but resist my search for the quintessential Dilbert strips that brings in sanity to most of us. Here are some of my favorites to laugh it out. As much as the world experiences amazing possibilities...
06 Nov
Why the struggle with Data Science?
Enough of the hype, books, conferences, fashion and even the so called sexiest job title, it appears like Data Science has been here for eternity. It continues to stir up the aspirations for so many, from young college graduates to being in the priority list of many IT leaders who wish to flaunt their Big Data...
04 Nov
Cartogram.
By simple definition, Cartogram is a map on which statistical information is shown. Hang on; don't get this mixed up with the geographical map that is used heavily these days for data visualization. There is a difference. In its simplest form in these visualization types, the data value gets encoded as color hues keeping the geographical contours as constant. Here are some good examples to begin with.
