Google’s Ngram Viewer let’s you see how often a word or phrase has appeared in Google’s scanned book library (full about). Here’s a quick one with regards to technology over the last 170 years. Kind of interesting how early on “telegraph” was mentioned, and what’s with “computer” showing up in 1900?
Archive for May, 2011
The New Republic highlights the dangers of dishonest data. Apparently the chart on the left below, originally accompanying this article in the Wall Street Journal (the same publication that produced this book??), has been making the rounds of conservative blogs as support for arguments against increasing taxes on the wealthy – because, clearly, all the [...]
Big things stand out. So, when Asymco decided to report on the relative market and profit share in the smartphone industry, they got big. Really big: The dark orange represents Apple, and the remainder of color-coding is meant to represent profitability – pink and orange are profitable, white is (assumedly) break-even, and blue is a [...]
www.zanran.com While in early beta, this is a pretty exciting place for a data junkie. According to their About page: Zanran helps you to find ‘semi-structured’ data on the web. This is the numerical data that people have presented as graphs and tables and charts. For example, the data could be a graph in a [...]
http://mashable.com/2011/05/09/sitting-down-infographic/ Where to start? Implied correlation? Terrible pie charts? Bad graphic design? Misleading data? Boring subject? I….egh.
Just about a week ago, Apple released new iMacs with shinier, faster processors. How much faster? Primate Labs ran some benchmarks and put together the chart below to help us understand what we would get for our money. Unfortunately they made a few mistakes in presenting that information too us. Though pretty, their use of [...]
iSupply released its forecast for Mobile App store revenue through the year 2015, and did so in a very simplistic chart. Could such a simple chart be improved? I think so. To begin, the chart does nothing to differentiate between actual app store revenue and forecasted revenue. While this might be discernible from the range [...]