  In this paper we present a preliminary analysis over the largest publicly
accessible web dataset: the Common Crawl Corpus. We measure nine web
characteristics from two levels of granularity using MapReduce and we comment
on the initial observations over a fraction of it. To the best of our knowledge
two of the characteristics, the language distribution and the HTML version of
pages have not been analyzed in previous work, while the specific dataset has
been only analyzed on page level.
