Opinion
Expert Opinion: Data Visualization
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Many forces have contributed to the torrent of data graphics that we see all around us.
By Kristen Sosulski
Data visualization has gained immense popularity over the last five years and is continuing to evolve. Many forces have contributed to the torrent of data graphics that we see all around us.
First, there’s a lot more data available in the world; we are living the era of big data. From individuals to governments, there is a movement toward sharing data for public good. Platforms like Kaggle provide open data sets and a community to explore data, write and share code, and enter machine learning competitions. All of the services we employ, from AT&T to American Express, collect, mine, and share our data.
Second, software to analyze and visualize data is ubiquitous. Tableau, for example, is designed for the explicit purpose of visualizing data. It’s only been available for both Mac and PC users since 2014. Programming languages such as Python and R have packages, such as ggplot2 and plot.ly, that make the process of data visualization straightforward and manageable, even for non-programmers. Charts are no longer limited to static displays; they are dynamic, interactive, and animated.
See the full article as published by MarTechExec.
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Kristen Sosulski is a Clinical AssociateProfessor of Information, Operations & Management Sciences and the Director of Education for the W.R. Berkley Innovation Lab
First, there’s a lot more data available in the world; we are living the era of big data. From individuals to governments, there is a movement toward sharing data for public good. Platforms like Kaggle provide open data sets and a community to explore data, write and share code, and enter machine learning competitions. All of the services we employ, from AT&T to American Express, collect, mine, and share our data.
Second, software to analyze and visualize data is ubiquitous. Tableau, for example, is designed for the explicit purpose of visualizing data. It’s only been available for both Mac and PC users since 2014. Programming languages such as Python and R have packages, such as ggplot2 and plot.ly, that make the process of data visualization straightforward and manageable, even for non-programmers. Charts are no longer limited to static displays; they are dynamic, interactive, and animated.
See the full article as published by MarTechExec.
___
Kristen Sosulski is a Clinical AssociateProfessor of Information, Operations & Management Sciences and the Director of Education for the W.R. Berkley Innovation Lab