2010
DOI: 10.1590/s0103-90162010000400017
|View full text |Cite
|
Sign up to set email alerts
|

Abstract: Data visualization is a very important aspect of data analysis and of presentation. Focusing on the latter, this paper discusses various elements of constructing graphs for publications. Bad and good graphs are compared, and a checklist with graphical elements to be used while creating graphs is proposed.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
8
0

Year Published

2012
2012
2020
2020

Publication Types

Select...
6

Relationship

4
2

Authors

Journals

citations
Cited by 9 publications
(8 citation statements)
references
References 42 publications
0
8
0
Order By: Relevance
“…Information is often easier to understand when it is visualized rather than presented in numbers. This is apparent in the agricultural sciences (see Kozak, ) as well as more generally (Cleveland, ; Tufte, ; Wainer, ), and these functions are important considerations for authors, editors, and referees—especially when they are thinking about article lengths and costs of production in nonelectronic journals. It is possible, for instance, that journals with high IFs might sell more subscriptions and thus can better afford the publication costs associated with graphs.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Information is often easier to understand when it is visualized rather than presented in numbers. This is apparent in the agricultural sciences (see Kozak, ) as well as more generally (Cleveland, ; Tufte, ; Wainer, ), and these functions are important considerations for authors, editors, and referees—especially when they are thinking about article lengths and costs of production in nonelectronic journals. It is possible, for instance, that journals with high IFs might sell more subscriptions and thus can better afford the publication costs associated with graphs.…”
Section: Discussionmentioning
confidence: 99%
“…This, surely, must be the next step in this research. There is now an extensive literature on graphs and their effectiveness (e.g., see Cleveland, ; Few, ; Kosslyn, ; Kozak, ; Nicol & Pexman, ; Tufte, ; Wainer, ) and there is some agreement as to what constitutes a good or a poor graph. So possibly the next thing to do in this particular field is to ask several experts in the agricultural sciences to judge the quality of the graphical aids used in agricultural journals and to publish their findings.…”
Section: Discussionmentioning
confidence: 99%
“…It takes some craft to make a good graph, however (e.g., Tufte, 1983;Cleveland, 1985 and1993;Wilkinson, 2006;Wickham, 2009;Kozak, 2010). Whether exploring data or presenting them, we have to do it right.…”
Section: Introductionmentioning
confidence: 99%
“…That would be like driving a car without even the basic knowledge of how to do so. Many sources are available (my favorite are Tufte [1983] and Cleveland [1995Cleveland [ , 1996), including the above-mentioned paper I published in this journal (Kozak, 2010). I also assume you have a basic knowledge of R, which will enable you to read data and use basic operating symbols and functions.…”
Section: Introductionmentioning
confidence: 99%
“…Unfortunately, agronomy has missed its chance to use data visualization even though many scientific fields benefit from data visualization (Kozak, 2010a). This paper, thus, aims to study the usefulness of graphical methods in analyzing the multiplicative model (1) in agronomy and plant breeding research.…”
Section: Introductionmentioning
confidence: 99%