Regression

Running head: DATA VISUALIZATION 1

DATA VISUALIZATION 3

Data Visualization

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Data visualization has recently been used by many companies as a technique to advertise its products by forming imagery presentations. The use of data visualization helps in giving the meaning of the information by highlighting the useful information while eliminating the unwanted to the consumers (Kuznetsova, Lugmayr & Holzinger, 2017). It is through this imagery that makes a better understanding of the information conveyed by a particular company of the products it offers. Among the data visualization products are plot.ly dashboarding and data Hero dashboarding.

To start with polt.ly dashboarding it helps in visualization of quick and faster information. This product creates room for editing and provides an interactive zone for sharing views through the website. The main advantages of plot.ly visualization are that it has clean and beautiful charts for the presentation that helps in capturing the attention of the consumers (Sepehrband et al., 2018). Also, the plot.ly dashboard enables the presentation of clean documentaries through pie charts and also gives examples. However, plot.ly has several disadvantages such as, it eliminates the older web browsers through avoidance of involving canvas in the visualization of data.plot.ly visualization is not secure since any plots made can be viewed and edited by anyone.

DataHero dashboarding as a visualization of data involves faster automation of business data that can be easily understood by everyone. Data hero allows unlimited visualization through creating as many unique dashboards metrics for the business without limit (Atwood & Reznik,2018)DataHero dashboarding has some benefits such as it enables one to monitor the performance of different dashboards in a given time. The visualization is also flexible as it’s dashboards can be monitored as the business expands. However, product visualization has a drawback in its high costs to purchase the software. One can prefer DataHero dashboarding visualization product since it secures, efficiency and flexible as it can be changed with time in circumstances of business growth.

References

Atwood, T. P., & Reznik-Zellen, R. (2018). Using the Visualization Software Evaluation Rubric to explore six freely available visualization applications. Journal of eScience Librarianship, 7(1).

Kuznetsova, I., Lugmayr, A., & Holzinger, A. (2017, January). Visualization methods of hierarchical biological data. In International Workshop on Semantic Ambient Media Experiences. Ambient Media Association.

Sepehrband, F., Lynch, K. M., Cabeen, R. P., Gonzalez-Zacarias, C., Zhao, L., D'arcy, M., ... & Clark, K. A. (2018). Neuroanatomical morphometric characterization of sex differences in youth using statistical learning. Neuroimage, 172, 217-227.