Difference between revisions of "Data Visualization"
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'''Data Visualization''' is defined as the design, development, and application of computer-generated graphical representation of data<ref>Sadiku, Matthew, Adebowale Shadare, Sarhan Musa, Cajetan Akujuobi, and Roy Perry. “DATA VISUALIZATION.” International Journal of Engineering Research and Advanced Technology (IJERAT) 12 (December 1, 2016): 2454–6135. | '''Data Visualization''' is defined as the design, development, and application of computer-generated graphical representation of data<ref>Sadiku, Matthew, Adebowale Shadare, Sarhan Musa, Cajetan Akujuobi, and Roy Perry. “DATA VISUALIZATION.” International Journal of Engineering Research and Advanced Technology (IJERAT) 12 (December 1, 2016): 2454–6135. | ||
| − | </ref>. Today, computers can be used to process and display large amounts of data in a way that is efficient, easily accessible, and understandable. | + | </ref>. Today, computers can be used to process and display large amounts of data in a way that is efficient, easily accessible, and understandable. The human mind is visual by nature. As a result, visualization is everywhere: ranging from lines and points on a graph to the standardized symbols called [https://en.wikipedia.org/wiki/Emoji emojis]. Whether the underlying information encompasses strict quantitative data or an individual's wish to convey a certain emotion, data visualization is, on a basic level, a method of communicating with one another<ref>Manuela Aparicio, Carlos J. Costa. “Data Visualization.” Communication Design Quarterly, November 2014.</ref>. |
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| + | As the amount of data accumulated due to the rise of the Internet increasingly outsizes what existed before, | ||
| + | Large industries and organizations particularly value the tools used to represent data because they enable decision makers to comprehend information and form an opinion. | ||
| + | Scientists must choose how they want to represent their data, as well as consider the audience they intend to show it to<ref>Healy, Kieran. Data Visualization: A Practical Introduction. Princeton University Press, 2018. | ||
| + | </ref>. | ||
== References == | == References == | ||
Revision as of 16:09, 21 January 2022
Data Visualization is defined as the design, development, and application of computer-generated graphical representation of data[1]. Today, computers can be used to process and display large amounts of data in a way that is efficient, easily accessible, and understandable. The human mind is visual by nature. As a result, visualization is everywhere: ranging from lines and points on a graph to the standardized symbols called emojis. Whether the underlying information encompasses strict quantitative data or an individual's wish to convey a certain emotion, data visualization is, on a basic level, a method of communicating with one another[2].
As the amount of data accumulated due to the rise of the Internet increasingly outsizes what existed before, Large industries and organizations particularly value the tools used to represent data because they enable decision makers to comprehend information and form an opinion. Scientists must choose how they want to represent their data, as well as consider the audience they intend to show it to[3].
References
- ↑ Sadiku, Matthew, Adebowale Shadare, Sarhan Musa, Cajetan Akujuobi, and Roy Perry. “DATA VISUALIZATION.” International Journal of Engineering Research and Advanced Technology (IJERAT) 12 (December 1, 2016): 2454–6135.
- ↑ Manuela Aparicio, Carlos J. Costa. “Data Visualization.” Communication Design Quarterly, November 2014.
- ↑ Healy, Kieran. Data Visualization: A Practical Introduction. Princeton University Press, 2018.
