Problem in visualizing values in ggplot

[Susindharen]

As you can from the images, summary shows max value of 2525 but while plotting mnt_total shows 600,000.
How to correct this?

[andresrcs]

Hi, welcome!

We don't really have enough info to help you out. Could you ask this with a minimal REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

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.…

[jonspring]

This could happen if the bar chart is set to stack all the values. In the example below, the max price is 18,823, but the chart shows >60M.

summary(diamonds$price)
ggplot(diamonds, aes(price, cut)) + geom_col()

We might fix this by instead plotting

ggplot(diamonds, aes(price, cut)) + geom_col(position = "identity")

which gives the expected result, but will be very slow to print, because ggplot is overplotting all 54k observations. It would be much faster in that case to just print the maximum values for each cut.