New PDF release: Mastering Clojure Data Analysis

By Eric Rochester

Clojure is a Lisp dialect equipped on most sensible of the Java digital laptop. As info more and more invades progressively more elements of our lives, we always want extra instruments to house it successfully. info may be prepared successfully utilizing Clojure information instruments. gaining knowledge of Clojure info research teaches you the way to research and visualize advanced datasets. With this ebook, youll easy methods to practice info research utilizing proven clinical tools with the trendy, strong Clojure programming language with the aid of interesting examples drawn from real-world info. this may assist you become familiar with complex themes equivalent to community research, the features of social networks, utilizing subject modeling to get a deal with on unstructured textual information, and GIS research to use geospatial concepts on your info research difficulties. With this consultant, youll methods to leverage the facility and adaptability of Clojure to dig into your info and entry the insights it hides.

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Com> with a link to the suspected pirated material. We appreciate your help in protecting our authors, and our ability to bring you valuable content. com> if you are having a problem with any aspect of the book, and we will do our best to address it.  Network Analysis – The Six Degrees of Kevin Bacon With the popularity of Facebook, Twitter, LinkedIn, and other social networks, we're increasingly defined by who we know and who's in our network. These websites help us manage who we know—whether personally, professionally, or in some other way—and our interactions with those groups and individuals.

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Json")))) 18 So the network diameter is approximately three times larger than the average. Clustering coefficient Clustering coefficient is a measure of how many densely linked clusters there are in the graph. This is one measure of the small world effect, and it's sometimes referred to as the "all my friends know each other" property. To find the clustering coefficient for one vertex, this basically cuts all of its neighbors out of the network and tries to find the density of the subgraph. In looking at the whole graph, a high clustering coefficient indicates a small world effect in the graph.

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Mastering Clojure Data Analysis by Eric Rochester

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