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Big Data Visualization

You're reading from   Big Data Visualization Bring scalability and dynamics to your Big Data visualization

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785281945
Length 304 pages
Edition 1st Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Toc

Definitions and explanations

This is providing additional information or attributes about a data point.

Definitions and explanations

Comparisons

This is adding a comparable value to a particular data point. For example, you might compute and add a national ranking to each total by state:

Comparisons

Contrasts

This is almost like adding an opposite to a data point to see if it perhaps determines a different perspective. An example might be reviewing average body weights for patients who consume alcoholic beverages versus those who do not consume alcoholic beverages:

Contrasts

Tendencies

These are the typical mathematical calculations (or summaries) on the data as a whole or by other categories within the data, such as mean, median, and mode. For example, you might add a Median Heart Rate for Age Group that each patient in the data is a member of:

Tendencies

Dispersion

Again, these are mathematical calculations (or summaries), such as range, variance, and standard deviation, but they describe the average of a dataset (or group within the...

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