Data and information visualization: Difference between revisions

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specific example for business
m I only added a reference to help people explore Python libraries that enable visualization of quantitative data. The original sentence only mentions "Python" which is a bit vague and misses the actual libraries that are used for the purpose.
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John Tukey and Edward Tufte pushed the bounds of data visualization; Tukey with his new statistical approach of exploratory data analysis and Tufte with his book "The Visual Display of Quantitative Information" paved the way for refining data visualization techniques for more than statisticians. With the progression of technology came the progression of data visualization; starting with hand-drawn visualizations and evolving into more technical applications – including interactive designs leading to software visualization.<ref>{{Cite web|url=http://www.datavis.ca/papers/hbook.pdf |title=A Brief History of Data Visualization |date=2006 |access-date=2015-11-22 |website=York University |publisher=Springer-Verlag |last=Friendly |first=Michael |archive-url=https://web.archive.org/web/20160508232649/http://www.datavis.ca/papers/hbook.pdf |archive-date=2016-05-08 |url-status=live}}</ref>
 
Programs like [[SAS (software)|SAS]], [[SOFA Statistics|SOFA]], [[R (programming language)|R]], [[Minitab]], Cornerstone and more allow for data visualization in the field of statistics. Other data visualization applications, more focused and unique to individuals, programming languages such as [[D3.js|D3]], [[Python (programming language)|Python]]<ref>{{Cite web |title=Exploring data visualization: Matplotlib vs. seaborn |url=https://www.educative.io/blog/matplotlib-vs-seaborn |access-date=2024-10-31 |website=Educative |language=en}}</ref> and [[JavaScript]] help to make the visualization of quantitative data a possibility. Private schools have also developed programs to meet the demand for learning data visualization and associated programming libraries, including free programs like [[The Data Incubator]] or paid programs like [[General Assembly]].<ref>{{cite news
|title=NY gets new boot camp for data scientists: It's free but harder to get into than Harvard |newspaper=Venture Beat |access-date=2016-02-21 |url=https://venturebeat.com/2014/04/15/ny-gets-new-bootcamp-for-data-scientists-its-free-but-harder-to-get-into-than-harvard/ |archive-url=https://web.archive.org/web/20160215235820/http://venturebeat.com/2014/04/15/ny-gets-new-bootcamp-for-data-scientists-its-free-but-harder-to-get-into-than-harvard/ |archive-date=2016-02-15 |url-status=live}}</ref>