By Eric Rochester
As information invades progressively more of lifestyles and enterprise, the necessity to examine it successfully hasn't ever been larger. With Clojure and this e-book, youll quickly be attending to grips with each element of knowledge research. Youll begin with sensible recipes that assist you load and fresh your information, then get concise directions to accomplish the entire crucial research projects from simple information to classy desktop studying and knowledge clustering algorithms. Get a extra intuitive deal with in your info via hands-on visualization concepts that let you supply fascinating, informative, and compelling studies, and use Clojure to post your findings to the net.
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That is all that's required. However, at various places throughout the book, some recipes will access other software. The recipes in Chapter 8, Working with Mathematica and R, that are related to Mathematica will require Mathematica, obviously, and those that are related to R will require that. However, these programs won't be used in the rest of the book, and whether you're interested in those recipes might depend on whether you already have this software. Who this book is for This book is for programmers or data scientists who are familiar with Clojure and want to use it in their data analysis processes.
In general, the process to access this nontabular data might be more complicated, depending on how the page is structured. Getting ready First, we'll use the same dependencies and the require statements as we did in the last recipe, Scraping data from tables in web pages. Next, we'll identify the file to scrape the data from. html. This is a much more modern example of a web page. Instead of using tables, it marks up the text with the section and article tags and other features from HTML5, which help convey what the text means, not just how it should look.
It then calls get-rows to create the data mappings and converts the output to a dataset. Reading RDF data More and more data is going up on the Internet using linked data in a variety of formats such as microformats, RDFa, and RDF/XML. Linked data represents entities as consistent URLs and includes links to other databases of the linked data. In a sense, it's the computer equivalent of human-readable web pages. Often, these formats are used for open data, such as the data published by some governments, like in the UK and elsewhere.
Clojure Data Analysis Cookbook by Eric Rochester