Data Biryani

by Soumendra Dhanee

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Indian Men are not Rapists

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(Data from Wikipedia, Code listed below)

(Update: In light of the heated debates that have followed, I think I should summarize my position:

  • Generations of Indians fought and devoted their lives to dispel the image of India as a nation of snake charmers, and I don’t subscribe to the same attitude being repeated in a modern context.
  • The attitude that we should not highlight these stats or criticise the news coverage that they may distract from the awareness created by the Nirbhaya case, so that we can concentrate on the reformation of the Indian Men, is a dangerous attitude. The road to hell is paved with good intentions, and suppression of truth for the greater good is one of those.
  • Yes, I know that the data is incomplete and buggy. But ever heard of null hypothesis and the onus of proof being on the alternative hypothesis, at least in the presence of empirical data? )

I am writing

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Mumbai R Meetup - Functional Programming in R

Given what a beautiful and mature functional programming language R is, there is a surprising, though understandable, lack of visibility of functional programming techniques in R. I recently gave an introductory talk about it in Mumbai R Meetup group.

The presentation accompanying the talk can be found here - https://speakerdeck.com/soumendra/functional-programming-in-r . All the code discussed in the talk is included in the slides.

If you would like to hone your functional programming skills in R, I have a suggestion to make - read R code. As an example, you can start by reading through the codebase of ggplot2 (and possibly anything else written by Hadley Wickham).

Note: I have added the presentation and it’s source (Rnw) to GH. It’s available at this link.

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Data Biryani

Why DataBiryani?

Well, that is how I feel about data.

As Robert Gentleman put it, a big computer, a complex algorithm and a long time does not equal science. Adding data to the mix doesn’t make it Data Science either.

In this space, I hack together with ingredients and recipes to make data science.

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