Date that [article] (https://www.prnewswire.com/news-releases/can-data-science-get-fans-back-in-the-game-301112162.html) was published: 8/13/20
The data science article discusses using SAS as a way to optimize the amount of fans in a football stadium while abiding by coronavirus guidelines. Coronavirus has had an impact on the sports industry with the number of fans being limited in the arena or them being banned altogether. In order to respect the coronavirus guidelines while maximizing revenue from ticket sales, data scientists have begun to use SAS. SAS allows the data scientists to run several different scenarios depending on which coronavirus restrictions are implemented for the arena. Some of these include, total attendance, distance between fans, and fixed number of seats. Depending on which guidelines are in place it can mean a substantial difference in revenue if they do not optimize their fan attendance. Ultimately, the data scientists aim to maximize total revenue and maximize consumer safety.
I think that this article gives people the perspective of the future. Trying to figure out how different variables go together such as how many people can attend the sports event with how many people will be out of their seats. There needs to be a data analytics program that can solve these complex problems in order to keep people safe in todays new world.
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## [2] "SAS ranks as one of People magazine's Companies That Care"
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SAS
## Murder Assault UrbanPop Rape
## Min. : 0.800 Min. : 45.0 Min. :32.00 Min. : 7.30
## 1st Qu.: 4.075 1st Qu.:109.0 1st Qu.:54.50 1st Qu.:15.07
## Median : 7.250 Median :159.0 Median :66.00 Median :20.10
## Mean : 7.788 Mean :170.8 Mean :65.54 Mean :21.23
## 3rd Qu.:11.250 3rd Qu.:249.0 3rd Qu.:77.75 3rd Qu.:26.18
## Max. :17.400 Max. :337.0 Max. :91.00 Max. :46.00