vs Yrigoyen, Beatles vs. Stones, Maradona vs Pele

viewer ngramas

http://ngrams.googlelabs.com/

Google tool to view and compare what you wrote more term
Delivery a graph with the frequency of search terms along the corpus and the selected years.


PERON VS YRIGOYEN


http://ngrams.googlelabs.com/graph?content=Per% C3% B3n% 2CYrigoyen & year_start = 1800 & year_end = 2000 & body = 10 & smoothing = 3



Beatles VS Rolling Stones


http://ngrams.googlelabs.com/graph?content=Beatles% 2C + Rolling + Stones & year_start = 1800 & year_end = 2000 & body = 0 & smoothing = 3

MARADONA VS PELÉ


http://ngrams.googlelabs.com/graph?content=Madonna% 2CMichael + Jackson & year_start = 1800 & year_end = 2000 & body = 10 & smoothing = 3

When data is: Google. We like it or not, the Mountain View company has made ​​mining one of the most profitable businesses today. As a result it is argued, perhaps, as the largest provider of online advertising spam on the planet. On the other hand, Google usually offers its users excellent tools for investigating deep-Scholar, is indispensable in the academy, and for casual browsing. In this regard, I talk about Google Books Ngram Viewer, a new search tool that meets those two characteristics.

I think we all know that Google, despite criticism, has spent years digitizing much of human culture deposited in countless books. In fact, captured 5.2 million books, published between 1500 and 2008, in English, French, Spanish, German, Chinese and Russian. For not only has scanned and sent to a hard disk, has built a giant database, free, with 500 billion of terms derived from those books.

What exactly does Google Books Ngram Viewer?

1.

Read a series of terms separated by commas-n-grams, specifically.
2.

Read a range established in years.
3.

Read a body chosen by the user: the database. There are 10 available.
4.

Reads an accuracy factor (smoothing) between 0 and 50, with 3 as default. The larger the factor, "softer" is the curve of the graph.
5.

Delivery a graph with the frequency of search terms along the corpus and the selected years.



SOURCE: http://alt1040.com/2010/12/google-books-ngram-viewer-investigacion