July 2009
Beginner to intermediate
384 pages
12h 56m
English
Content preview from Beautiful DataBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
References
We have uploaded a subset of the data, as well as notes and code to help replicate our analyses, at http://data.doloreslabs.com.
If you're interested in learning R, we recommend two websites:
- Quick-R (http://statmethods.net)
High-level overviews and topic guides, by Robert Kabacoff.
- RSeek (http://rseek.org)
A search engine for R documentation, packages, and mailing lists, by Sasha Goodman.
R's official website is http://www.r-project.org. If you are interested in how it compares to other data analysis packages, see the many comments on an early draft of Table 17-2 at http://anyall.org/blog/?p=421.
The most commonly recommended book for learning R is Peter Dalgaard's Introductory Statistics with R (Springer; 2008).
Aside from R's core functionality, some of the add-on packages we used include corrgram, flowCore, gclus, geneplotter, plyr, and pixmap.
Good overviews of clustering, loess, and other machine learning techniques are in The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman (Springer; 2008).
The section on tags barely touches the surface of statistical language analysis. For more, see the chapters on corpus linguistics from Foundations of Statistical Natural Language Processing by Christopher Manning and Hinrich Schütze (MIT Press; 1999) and also Speech and Language Processing by Daniel Jurafsky and James H. Martin (Prentice Hall; 2008).
There are many better ways for estimating confidence intervals for the attractiveness versus age ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.