Can Anyone help me with the skim_without_charts function?

[Aniket_Srivastava]

I am using the function on a dataset and instead of counting the null values and showing them in the n_missing column of the summary, it is showing the number of null values in the empty column of the summary. Can someone help me out or explain why this problem is occuring and how to remove the null values from my table?

[jrkrideau]

Hi, welcome to the forum

think we need to see your code and some sample data.

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.…

[AveryAdonis]

@Aniket_Srivastava

I am using the function on a dataset and instead of counting the null values and showing them in the n_missing column of the summary, it is showing the number of null values in the empty column of the summary. Can someone help me out or explain why this problem is occuring and how to remove the null values from my table?

Before using the function, you can preprocess the dataset to handle missing values explicitly. You can use functions like dropna() or fillna() to remove or replace null values with appropriate values before generating the summary.