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Running head: INTERACTIVITY IN DATA VISUALIZATION

INTERACTIVITY IN DATA VISUALIZATION 4

Interactivity in data visualizations

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Data visualizations are currently as a powerful tool in communicating an important message to the targeted audience. Visualization removes unnecessary information from a certain story and makes use of important information by shaping its picture in which can influence the creativity of the viewer. The performance of visualizations can be made more effective by ensuring the presentations are designed in a manner that can influence individuals to engage in viewing them. Interactivity in data visualization can be made effective by means such as using bar graphs, donut charts or line graphs.

Bar graphs can be used in comparing different variables represented in the visualization. The bar graphs tend to be flexible since they can either be vertical or horizontal and thus increases the visually (Booysen, Botes & Hamer, 2017). Secondly, data visualization interactivity can be made effective by the use of donut charts in visual presentation. Donut charts take similar shapes as pie charts and are used in the comparison of different metric categories on vualization.this charts are useful since they make information easily understood thus increasing interactivity in data visualization. the other way to make data visualization interactive is by using line graphs to show analysis and performance in visual representation.

Interactivity in data visualization can be very important to achieve the objective of visual representation. data visualization interactivity can be used in identification of causes and trends in particular information since images tend to improve the processing of information and thus one can easily interpret and understand information portrayed through representation.Secondly,can be used to identify the relationships between the organizations operations and its daily tasks since interactivity in data visualizations enables one to focus on particular metrics that could be overlooked (Perkel,2018).Lastly. Interactivity in data visualization can be used in giving particular information through data since the interactivity allows one to show how certain thing have developed and moved on through a given time.

References

Booysen, W., Botes, L. A., & Hamer, W. (2017, August). A practical methodology for the systematic identification of outliers. In 2017 International Conference on the Industrial and Commercial Use of Energy (ICUE) (pp. 1-6). IEEE.

Perkel, J. M. (2018). Data visualization tools drive interactivity and reproducibility in online publishing. Nature, 554(7690), 133-134.