- Statistics for Data Science
- James D. Miller
- 148字
- 2021-07-02 14:58:43
Conventions
In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.
Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: In statistics, a boxplot is a simple way to gain information regarding the shape, variability, and center (or median) of a statistical data set, so we'll use the boxplot with our data to see if we can identify both the median Coin-in and if there are any outliers.
A block of code is set as follows:
MyFile <-"C:/GammingData/SlotsResults.csv" MyData <- read.csv(file=MyFile, header=TRUE, sep=",")
New terms and important words are shown in bold.
Warnings or important notes appear like this.
Tips and tricks appear like this.
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