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2017 ; 70
(3
): 267-276
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Statistical data presentation
#MMPMID28580077
In J
; Lee S
Korean J Anesthesiol
2017[Jun]; 70
(3
): 267-276
PMID28580077
show ga
Data are usually collected in a raw format and thus the inherent information is
difficult to understand. Therefore, raw data need to be summarized, processed,
and analyzed. However, no matter how well manipulated, the information derived
from the raw data should be presented in an effective format, otherwise, it would
be a great loss for both authors and readers. In this article, the techniques of
data and information presentation in textual, tabular, and graphical forms are
introduced. Text is the principal method for explaining findings, outlining
trends, and providing contextual information. A table is best suited for
representing individual information and represents both quantitative and
qualitative information. A graph is a very effective visual tool as it displays
data at a glance, facilitates comparison, and can reveal trends and relationships
within the data such as changes over time, frequency distribution, and
correlation or relative share of a whole. Text, tables, and graphs for data and
information presentation are very powerful communication tools. They can make an
article easy to understand, attract and sustain the interest of readers, and
efficiently present large amounts of complex information. Moreover, as journal
editors and reviewers glance at these presentations before reading the whole
article, their importance cannot be ignored.
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