Aesthetics must be either length 1 or the same as the data (50): y

[EKYlmaz]

Hello my friends,

I have read same question that have been asked by other members. But unfortunately I could not find a solution to my problem. i have written some code to draw a graph and R showed the Fehler: Aesthetics must be either length 1 or the same as the data (50): y
My Codes are:
Code 1.
ifr_for_all <- (service[service$service == "Warehousing", ]$QExecuted / service[service$service == "Warehousing", ]$QScheduled)

error_for_all <- cbind(service [service$service == "Warehousing", ], ifr_for_all)

kpi_warehousing_for_all <-

cbind(sort(unique(error_for_all$vendor)), aggregate(QExecuted ~ vendor + Year, data = error_for_all, sum)[2],

(aggregate(QExecuted ~ vendor + Year, data = error_for_all, sum)[3])/(aggregate(QScheduled ~ vendor + Year, data = error_for_all, sum)[3]))

colnames(kpi_warehousing_for_all) <- c("vendor", "Year" , " IFR ")

kpi_warehousing_for_all
ggplot(kpi_warehousing_for_all, aes(Year, ifr, group = vendor, color= vendor)) + geom_point() + geom_line()
Code 2
kpi_warehousing_perRegion <-
cbind(sort(unique(error_for_all$vendor)), aggregate(QExecuted ~ vendor + region, data = error_for_all, sum)[2],
(aggregate(QExecuted ~ vendor + region, data = error_for_all, sum)[3])/(aggregate(QScheduled ~ vendor + region, data = error_for_all, sum)[3]))
colnames(kpi_warehousing_perRegion) <- c("vendor", "region", " IFR ")
kpi_warehousing_perRegion
ggplot(kpi_warehousing_perRegion, aes(region, ifr_for_all, group = vendor, color= vendor, fill = vendor)) + geom_bar(stat = "identity", position ="dodge") + scale_fill_brewer(palette = "Paired") + scale_color_brewer(palette = "Paired") + coord_cartesian(ylim = c(0.1, 0.215))
If you help me to solve thoes problems, I will be greatful

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue that includes sample data? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[stkrog]

There's a hint in the error message that the problem is with the y aestethics. Looking at your code you use ifr for y in the kpi_warehousing_for_all, but you have just set the column name to IFR. In kpi_warehousing_perRegion you use ifr_for_all for y, again your column name is IFR. Of course, without af reprex I can only guess.

Cheers
Steen