R for loop overwriting variable data - r

Question

I am trying to use a for loop to create a ggplot for each column in a dataframe. I am pretty new to this so my approach may be very wrong here.
I have written a function to create the ggplot:
create_scatter <- function(df, x, y) {
ggplot(df, aes(x, y)) +
geom_point() +
xlab(name) +
ylab("quality")
}
And a for loop to iterate through the Dataframe columns by name (to get the name of the column for use later) then get the contents of the column for the plotting function.
for (name in names(whiteWines)) {
for (column in whiteWines[name]) {
assign(paste0(name, "_scatter"),
create_scatter(whiteWines, column, whiteWines$quality))
}
}
Using assign() I am able to create a variable name from the column name on the fly and assign the results of ggplot to it.
I am then using grid.arrange to arrange the resulting plots in a 3 x 4 grid.
grid.arrange(fixed.acidity_scatter,
volatile.acidity_scatter,
citric.acid_scatter,
residual.sugar_scatter,
chlorides_scatter,
free.sulfur.dioxide_scatter,
total.sulfur.dioxide_scatter,
density_scatter,
pH_scatter,
sulphates_scatter,
alcohol_scatter,
layout_matrix = rbind(c(1,2,3), c(4,5,6), c(7,8,9), c(10,11,12)))
When executed all scatter plots are created, however they all contain the data from the last scatter plot in the loop.
Undesired Results
If I wrap the assign statement in a print() statement then I do get the desired outcome in the grid, but each individual plot gets printed as well.
Desired Results
Dataset

Answer 1

You're probably looking for something more like this:
library(readr)
library(tidyr)
library(dplyr)
library(ggplot2)
ww <- read_delim(file = "~/Downloads/winequality-white.csv",delim = ";")
ww_long <- ww %>%
gather(key = measure,value = value,`fixed acidity`:`alcohol`)
ggplot(data = ww_long,aes(x = quality,y = value)) +
facet_wrap(~measure,scales = "free_y") +
geom_point()
R has some tools that can be very tempting for beginners as they think through solving a problem. Among them are assign(), get() and eval(parse(text = )). It is usually the case that a solution using those will cause more problems than they solve; there's typically a better way, but will require digging a little deeper into the "normal" way of doing things in R.

Answer 2

The followings are the variables of the data
"fixed acidity";"volatile acidity";"citric acid";"residual sugar";"chlorides";"free sulfur dioxide";"total sulfur dioxide";"density";"pH";"sulphates";"alcohol";"quality"
the followings are sample rows
7;0.27;0.36;20.7;0.045;45;170;1.001;3;0.45;8.8;6
6.3;0.3;0.34;1.6;0.049;14;132;0.994;3.3;0.49;9.5;6
8.1;0.28;0.4;6.9;0.05;30;97;0.9951;3.26;0.44;10.1;6
7.2;0.23;0.32;8.5;0.058;47;186;0.9956;3.19;0.4;9.9;6
7.2;0.23;0.32;8.5;0.058;47;186;0.9956;3.19;0.4;9.9;6
8.1;0.28;0.4;6.9;0.05;30;97;0.9951;3.26;0.44;10.1;6
6.2;0.32;0.16;7;0.045;30;136;0.9949;3.18;0.47;9.6;6
7;0.27;0.36;20.7;0.045;45;170;1.001;3;0.45;8.8;6
6.3;0.3;0.34;1.6;0.049;14;132;0.994;3.3;0.49;9.5;6
8.1;0.22;0.43;1.5;0.044;28;129;0.9938;3.22;0.45;11;6
All form the excel sheet.