Of late, I have been following up with data analytics and learnt R and Pandas (using Python). Somehow, most of the work that I now do is crunching data and representing them in a more fancier way. In a lighter vein, when I am at home, I try to see how my non-work data can be represented as charts and graphs. Here is the first attempt to categorize the list of programmers editors that I had used throughout my life time... This was generated using R and ggplot (ggplot is a great library that allows you to generate different types of charts). Why not excel? Sure, I can do the same in excel as well. But once the data becomes huge to manage, it becomes difficult to monitor each of the cells to see if the formula is right. Sometimes, they get complicated enough that I have to wait for a few seconds every time I make a change in a cell or consider turning off auto-calculation in excel. It is much more simpler to have the processing logic as a source file that you can modify separated from t
On my daily commute to my office, my only companion are the various FM radio channels. Most of them were hyping the World Tobacco Day on the 31st of May which included how much a person would have spent if he smokes a few packets to the various health issues. All this was nice until on that same day, where there were a few ads on the same channels sponsored from a tobacco company enticing listeners on their new offerings! Oh what irony!