How to handle missing values in Julia explain with example

This recipe helps you handle missing values in Julia explain with example

Recipe Objective

This recipe explains how to handle missing values in julia.

Missing Data in Julia

Julia offers a fast and powerful user-defined object called 'missing' which is far better than other build-in types. It supports other custom types which offer more advantages. It is more efficient compared to build-in types like NA, NaN, and many more because it offers safety and security. It ensures that when a mathematical operation is performed with a 'missing' object it does not affect the result of the data manipulation.

Access YOLO OCR Character Recognition Project with Source Code

[2, missing]
['b', missing]
[2.0, missing]

2 + missing
2 - missing
2 * missing
round(missing)
sin(missing)

sum(skipmissing([2, missing, 6]))

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