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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

On the left, a scatterplot of Counts by AbsoluteEnergy, and on the right, scatterplot of Amplitude by AbsoluteEnergy, after log transformations.
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Figure 15: On the left, a scatterplot of Counts by AbsoluteEnergy, and on the right, scatterplot of Amplitude by AbsoluteEnergy, after log transformations.

Mentions: It is known that signal strength and absolute energy are associated with each other. The signal strength increases as absolute energy increases. The association can be seen in the left scatterplot of SignalStrength by AbsoluteEnergy after logarithmic transformation of data in Figure 16. Circle 1 points cases which can be shown to be outlier group in Figure 15. Circle 2 points to cases, which have surprisingly high signal strength. The linked scatterplot on the right of Figure 16 of Energy by AbsoluteEnergy shows that these instances have normal energy and normal absolute energy. Since all these variables are associated with each other, this suggests that variable SignalStrength is in error for these cases.


Interactive graphics: exemplified with real data applications.

Malik WA, Unlü A - Front Psychol (2011)

On the left, a scatterplot of Counts by AbsoluteEnergy, and on the right, scatterplot of Amplitude by AbsoluteEnergy, after log transformations.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 15: On the left, a scatterplot of Counts by AbsoluteEnergy, and on the right, scatterplot of Amplitude by AbsoluteEnergy, after log transformations.
Mentions: It is known that signal strength and absolute energy are associated with each other. The signal strength increases as absolute energy increases. The association can be seen in the left scatterplot of SignalStrength by AbsoluteEnergy after logarithmic transformation of data in Figure 16. Circle 1 points cases which can be shown to be outlier group in Figure 15. Circle 2 points to cases, which have surprisingly high signal strength. The linked scatterplot on the right of Figure 16 of Energy by AbsoluteEnergy shows that these instances have normal energy and normal absolute energy. Since all these variables are associated with each other, this suggests that variable SignalStrength is in error for these cases.

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