Here is the post: Normalizing data by mean and standard deviation is most meaningful when the data distribution is roughly symmetric. In this article, based on chapter 4 of Practical Data Science with Rthe authors show you a transformation that can make some distributions more symmetric. The need for data transformation can depend on the modeling method that you plan to use.
In a recent investigation by the UK newspaper Metro in collaboration with London Metropolitan University, researchers found fecal matter on every touchscreen they tested across eight different McDonald's restaurants. All of them contained coliforms, which are bacteria found in digestive tracts and feces.
A sample from one of the screens also tested positive for Staphylococcus aureusa bacteria that can cause skin infections, food poisoning, and occasionally more serious conditions like blood poisoning and toxic shock syndrome.
Listeria and Proteus bacteria, which can also pose health threats, were detected on touchscreens in a few restaurants as well.
Paul Matewele, a microbiology lecturer at London Metropolitan University, said he was shocked to see such a high prevalence of gut and fecal bacteria on the touchscreens.
Their use in fast food establishments is becoming increasingly common, but as this analysis shows, they do come with risks. However, as Newsweek notes, the sample size for the study was quite small. It only tested touchscreens at eight out of roughly McDonald's restaurants in the UK.
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