Number of missing values in dataset

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Hi!!

I want to know how to find out the number of missing values in the dataset and how to remove them?

Thanks!
Jul 30, 2018 in Data Analytics by darklord
• 6,140 points
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3 answers to this question.

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Missing values bring in a lot of chaos to the data. Thus, it is always important to deal with the missing values before we build any models.

Consider an example:

An employee data-set which consists of missing values:

The following code gives the number of missing values->

sum(is.na(employee))

This code deletes the missing values:

na.omit(employee)

So, you can use is.na to find the number of missing values, and na.omit to delete the missing values.

answered Jul 30, 2018 by CodingByHeart77
• 3,680 points
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Missing value treatment is a 2 step process:

1. Detecting missing values: You can detect missing values using single piece of code in python <Pandas.isnull().any()>

2. Removing missing values: You can now replace the missing values within your dataset using:

  • Mean Imputation: Replacing the missing values of a particular feature with mean of that particular feature
  • Median Imputation: Replacing the missing values of a particular feature with median of that particular feature

answered Aug 10, 2018 by Atul
• 180 points
0 votes
Try this,

lapply(airquality, function(x) { sum(is.na(x)) })
answered Aug 6 by anonymous

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