Analysis of Steve Jobs tribute messages

Posted to Statistics  |  Tags: , ,  |  Nathan Yau

Apple has a page dedicated to Steve Jobs that displays messages from friends, colleagues, and fans. Neil Kodner downloaded those messages and extracted overall themes:

I wanted to see what how people were speaking about Steve Jobs and especially what terms were being used to describe him. There was no point in performing sentiment analysis on this text as all of the texts were not only obviously positive but were also vetted by Apple for content. Using NLTK, I performed part-of-speech tagging on every word in each tribute message and then wrote some code to total the adjectives and adverbs used in the tribute messages.

The top descriptors? Not surprisingly: great, many, first, sad, better, best, and visionary. About one in five messages referenced an Apple product.

The message data and Kodner’s code is available on github.

[Thanks, Guy]



One Dataset, Visualized 25 Ways

“Let the data speak” they say. But what happens when the data rambles on and on?

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.

This is an American Workday, By Occupation

I simulated a day for employed Americans to see when and where they work.

Graphical perception – learn the fundamentals first

Before you dive into the advanced stuff – like just about everything in your life – you have to learn the fundamentals before you know when you can break the rules.