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How to use R language and Python for data de-duplication and missing value processing, in view of this problem, this article introduces the corresponding analysis and solution in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible method.

Because there are a little more things recently, I have not updated frequently recently, but I can't stop learning. Once I stop, some roads will go in vain. Today, I will take an inventory of the functions in R language and Python that are often used to deal with duplicate and missing values.

In R language, there are several functions related to data deduplication and missing value processing:

Unique

Distinct

Intersect

Union

Duplicated # Boolean judgment

Is.na () /! is.na () # missing / non-missing values

Na.rm=TRUE/FALSE # remove missing values

Na.omit (lc) # ignore missing values

Complete.cases () # full value

Mydata

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