The wine data, whose first few rows are shown below, provides information on wine stocked by an online retailer, but is missing the year of the vintage. Add the year column to the data. The vector of years has been created for you. # A tibble: 6 x 5 style type country price rating 1 malbec red argentina 19.0 4.2 white portugal white germany 2 alvarinho 19.0 4.2 3 riesling 17.0 4 4 pinot noir red germany NA 4 5 primitivo italy italy red 18.0 4.2 6 valpolicella red 19.4 4.1 Complete the code to return the output library(dplyr) years <- c(2018, 2018, 2017, 2016, 2017, 2016, 2018, 2016, 2016) wine - wine %>% write code here (write code here = years) head (wine)

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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The wine data, whose first few rows are shown below, provides information on wine
stocked by an online retailer, but is missing the year of the vintage. Add the year
column to the data. The vector of years has been created for you.
# A tibble: 6 x 5
style
type country
price rating
<chr>
<chr> <chr>
<dbl>
<dbl>
1 malbec
red
argentina
19.0
4.2
2 alvarinho
white portugal
19.0
4.2
3 riesling
4 pinot noir
white germany
17.0
4
red
germany
NA
4
5 primitivo
red
italy
18.0
4.2
6 valpolicella red
italy
19.4
4.1
Complete the code to return the output
library(dplyr)
years <- c(2018, 2018, 2017, 2016, 2017, 2016, 2018, 2016, 2016)
wine
wine %>%
write code here
write code here
= years)
head (wine)
Transcribed Image Text:The wine data, whose first few rows are shown below, provides information on wine stocked by an online retailer, but is missing the year of the vintage. Add the year column to the data. The vector of years has been created for you. # A tibble: 6 x 5 style type country price rating <chr> <chr> <chr> <dbl> <dbl> 1 malbec red argentina 19.0 4.2 2 alvarinho white portugal 19.0 4.2 3 riesling 4 pinot noir white germany 17.0 4 red germany NA 4 5 primitivo red italy 18.0 4.2 6 valpolicella red italy 19.4 4.1 Complete the code to return the output library(dplyr) years <- c(2018, 2018, 2017, 2016, 2017, 2016, 2018, 2016, 2016) wine wine %>% write code here write code here = years) head (wine)
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