July 2014
Beginner to intermediate
336 pages
9h 30m
English
Content preview from Discovering Knowledge in Data: An Introduction to Data Mining, 2nd Edition
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,
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.
AppendixData Summarization and Visualization
- Part 1 Summarization 1: Building Blocks of Data Analysis
- Part 2 Visualization: Graphs and Tables for Summarizing and Organizing Data
- Part 3 Summarization 2: Measures of Center, Variability, and Position
- Part 4 Summarization and Visualization of Bivariate Relationships
Here, we present a very brief review of methods for summarizing and visualizing data. For deeper coverage, please see Discovering Statistics, by Daniel Larose (second edition, W.H. Freeman, New York, 2013).
Part 1 Summarization 1: Building Blocks of Data Analysis
- Descriptive statistics refers to methods for summarizing and organizing the information in a data set.
Consider Table A.1, which we will use to illustrate some statistical concepts.
Table A.1 Characteristics of 10 loan applicants
Applicant Marital Status Mortgage Income ($) Income Rank Year Risk 1 Single y 38,000 2 2009 Good 2 Married y 32,000 7 2010 Good 3 Other n 25,000 9 2011 Good 4 Other n 36,000 3 2009 Good 5 Other y 33,000 4 2010 Good 6 Other n 24,000 10 2008 Bad 7 Married y 25,100 8 2010 Good 8 Married y 48,000 1 2007 Good 9 Married y 32,100 6 2009 Bad 10 Married y 32,200 5 2010 Good - The entities for which information is collected are called the elements. In Table A.1, the elements are the 10 applicants. Elements are also called cases or subjects.
- A variable is a characteristic of an element, which takes on different values for different elements. The variables in ...
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.