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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.


A series of scatterplots of the variable Amplitude by AbsoluteEnergy with different zoom level. The zoom-in starts from top left to bottom right with factor of 10−1, 10−2, and 10−4 on the x-axis.
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Figure 17: A series of scatterplots of the variable Amplitude by AbsoluteEnergy with different zoom level. The zoom-in starts from top left to bottom right with factor of 10−1, 10−2, and 10−4 on the x-axis.

Mentions: The erroneous data points in variable AbsoluteEnergy mask the relation between amplitude and absolute energy. The zooming allows us to zoom-in and see the data in more detail. A series of scatterplots of Amplitude by AbsoluteEnergy is shown in Figure 17 with zoom level of 10−1, 10−2, and 10−4 on the x-axis (from top left to bottom right). The positive association between Amplitude by AbsoluteEnergy is visible after removing the outliers.


Interactive graphics: exemplified with real data applications.

Malik WA, Unlü A - Front Psychol (2011)

A series of scatterplots of the variable Amplitude by AbsoluteEnergy with different zoom level. The zoom-in starts from top left to bottom right with factor of 10−1, 10−2, and 10−4 on the x-axis.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 17: A series of scatterplots of the variable Amplitude by AbsoluteEnergy with different zoom level. The zoom-in starts from top left to bottom right with factor of 10−1, 10−2, and 10−4 on the x-axis.
Mentions: The erroneous data points in variable AbsoluteEnergy mask the relation between amplitude and absolute energy. The zooming allows us to zoom-in and see the data in more detail. A series of scatterplots of Amplitude by AbsoluteEnergy is shown in Figure 17 with zoom level of 10−1, 10−2, and 10−4 on the x-axis (from top left to bottom right). The positive association between Amplitude by AbsoluteEnergy is visible after removing the outliers.

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.