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Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
book

Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

by Glenn J. Myatt
November 2006
Beginner to intermediate
292 pages
7h 26m
English
Wiley-Interscience
Content preview from Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

5.2 DESCRIPTIVE STATISTICS

5.2.1 Overview

Descriptive statistics describe variables in a number of ways. The histogram in Figure 5.1 for the variable Length displays the frequency distribution. It can be seen that most of the values are centered around 0.55, with a highest value around 0.85, and a lowest value around 0.05. Most of the values are between 0.3 and 0.7 and the distribution is approximately normal; however, it is slightly skewed.

Descriptive statistics allow us to quantify precisely these descriptions of the data. They calculate different metrics for defining the center of the variable (central tendency), they define metrics to understand the range of values (variation), and they quantify the shape of the distribution.

images

Figure 5.1. Histogram of variable Length

5.2.2 Central Tendency

Mode

The mode is the most commonly reported value for a particular variable. It is illustrated using the following variable whose values are:

3, 4, 5, 6, 7, 7, 7, 8, 8, 9

The mode would be the value 7 since there are three occurrences of 7 (more than any other value). It is a useful indication of the central tendency of a variable, since the most frequently occurring value is often towards the center of the variable range.

When there is more than one value with the same (and highest) number of occurrences, either all values are reported or a mid-point is selected. For example, for the following ...

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ISBN: 9780470074718Purchase book