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Interactive graphics: exemplified with real data applications.

Malik WA, Unlü A - Front Psychol (2011)

Bottom Line: Graphics are widely used in modern applied statistics because they are easy to create, convenient to use, and they can present information effectively.Static plots do not allow interacting with graphics.The benefits and strengths of interactive graphics for data exploration and data quality analyses are illustrated systematically with three complex real datasets.

View Article: PubMed Central - PubMed

Affiliation: Department of Mathematics, University of Augsburg Augsburg, Germany.

ABSTRACT
Graphics are widely used in modern applied statistics because they are easy to create, convenient to use, and they can present information effectively. Static plots do not allow interacting with graphics. User interaction, on the other hand, is crucial in exploring data. It gives flexibility and control. One can experiment with the data and the displays. One can investigate the data from different perspectives to produce views that are easily interpretable and informative. In this paper, we try to explain interactive graphics and advocate their use as a practical tool. The benefits and strengths of interactive graphics for data exploration and data quality analyses are illustrated systematically with three complex real datasets.

No MeSH data available.


Related in: MedlinePlus

Histogram of variable SPOT with bin width 1. The horizontal red lines on the axis mark bins where the count is zero.
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Figure 9: Histogram of variable SPOT with bin width 1. The horizontal red lines on the axis mark bins where the count is zero.

Mentions: We look at the distributions of the individual variables. Figure 9 shows a histogram of the variable SPOT with bin width 1. In Figure 9, the distribution of variable SPOT almost follows a regular pattern. The sudden spikes show heaping of data which might be due to some rounding or transformation of data.


Interactive graphics: exemplified with real data applications.

Malik WA, Unlü A - Front Psychol (2011)

Histogram of variable SPOT with bin width 1. The horizontal red lines on the axis mark bins where the count is zero.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3111423&req=5

Figure 9: Histogram of variable SPOT with bin width 1. The horizontal red lines on the axis mark bins where the count is zero.
Mentions: We look at the distributions of the individual variables. Figure 9 shows a histogram of the variable SPOT with bin width 1. In Figure 9, the distribution of variable SPOT almost follows a regular pattern. The sudden spikes show heaping of data which might be due to some rounding or transformation of data.

Bottom Line: Graphics are widely used in modern applied statistics because they are easy to create, convenient to use, and they can present information effectively.Static plots do not allow interacting with graphics.The benefits and strengths of interactive graphics for data exploration and data quality analyses are illustrated systematically with three complex real datasets.

View Article: PubMed Central - PubMed

Affiliation: Department of Mathematics, University of Augsburg Augsburg, Germany.

ABSTRACT
Graphics are widely used in modern applied statistics because they are easy to create, convenient to use, and they can present information effectively. Static plots do not allow interacting with graphics. User interaction, on the other hand, is crucial in exploring data. It gives flexibility and control. One can experiment with the data and the displays. One can investigate the data from different perspectives to produce views that are easily interpretable and informative. In this paper, we try to explain interactive graphics and advocate their use as a practical tool. The benefits and strengths of interactive graphics for data exploration and data quality analyses are illustrated systematically with three complex real datasets.

No MeSH data available.


Related in: MedlinePlus