August 2016
Intermediate to advanced
228 pages
4h 44m
English
Content preview from Introduction to R for Business IntelligenceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Analyzing a single data variable
If your dataset has a single variable, you have univariate data. When examining univariate data, you may describe the data distribution in terms of its value and spread. A good place to begin the exploration of univariate data is with the str() function that you learned in
Chapter 2, Data Cleaning. Load the marketing dataset into R and run the str() function:
marketing <- read.csv("./data/Ch3_marketing.csv", stringsAsFactors = TRUE)
str(marketing)
We will get the following output:
'data.frame': 172 obs. of 7 variables: $ google_adwords : num 65.7 39.1 174.8 34.4 78.2 ... $ facebook : num 47.9 55.2 52 62 40.9 ... $ twitter : num 52.5 77.4 68 86.9 30.4 ... $ marketing_total: num 166 172 295 183 150 ... $ revenues ...
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