Summary: Making Sense Of Data I A Practical Guide To Exploratory Data Analysis And Data Mining | 9781118422106 | Glenn J Myatt, et al

Read the summary and the most important questions on Making Sense of Data I A Practical Guide to Exploratory Data Analysis and Data Mining | 9781118422106 | Glenn J. Myatt; Wayne P. Johnson

• 2 Describing Data

• 2.1 Overview

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• A data table contains what, represented as

  The measured or collected data values, represented as numbers or text

• What information is shown in the rows of data tables?

  Individual items

• 2.2 Observations and Variables

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• What contains information about a specific item they represent, and what are they referred to?

  Rows, referred to as observations

• What is a set of values, what does it describe, and where is it described?

  A variable, describing some aspect across all observations, described in the columns

• In a spreadsheet, what is described in the rows and columns?

  Raw Data

• What is essential to know before data analysis or data mining and what is the first step to understanding?

  The data table
  The first step is to understand the individual variables

• 2.3 Types of Variables

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• What helps us understand the precision of an individual variable?

  Scales

• What are 4 types of scales that help make choices about data visualization as well as methods of analysis?

  Nominal scale
  Ordinal scale
  Interval scale
  Ratio scale

• What scale describes variables where both intervals between values and ratios of values can be compared?

  Ratio scale

• What variable contains two values, 0 and 1, and provides a convenient numeric representation for many different types of dissect data?

  Binary variable