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]



10 Best Data Visualization Projects of 2015

These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.

Unemployment in America, Mapped Over Time

Watch the regional changes across the country from 1990 to 2016.

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.

Marrying Age

People get married at various ages, but there are definite trends that vary across demographic groups. What do these trends look like?