Statistical data presentation

Junyong In, Sangseok Lee

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)267-276
Number of pages10
JournalKorean Journal of Anesthesiology
Volume70
Issue number3
DOIs
StatePublished - 2017

Keywords

  • Data presentation
  • Data visualization
  • Graph
  • Statistics
  • Table

Fingerprint

Dive into the research topics of 'Statistical data presentation'. Together they form a unique fingerprint.

Cite this