Section 8.3 Loading Our Data
We start by importing the necessary packages, reading in our data from the
reproresearchR package ([D.1.24]), and quickly doing an overview of the data.
library(tidyverse)
library(reproresearchR)
pizza_sales<- pizza_prices
library(skimr)
skim(pizza_sales)
── Data Summary ────────────────────────
Values
Name pizza_sales
Number of rows 156
Number of columns 3
_______________________
Column type frequency:
numeric 3
________________________
Group variables None
── Variable type: numeric ──────────────────────────────────────────────────────
skim_variable n_missing complete_rate mean sd p0 p25
1 Week 0 1 78.5 45.2 1 39.8
2 Total Volume 0 1 88024. 22864. 55031 74347
3 Total Price 0 1 2.66 0.134 2.31 2.58
p50 p75 p100 hist
1 78.5 117. 156 ▇▇▇▇▇
2 83889 95113 227177 ▇▃▁▁▁
3 2.67 2.75 2.96 ▁▃▇▆▂
