Let’s Start the implementation of Data Cleaning in R
For this, we will use inbuilt datasets(air quality datasets) which are available in R.
R
head (airquality) |
Output:
Ozone Solar.R Wind Temp Month Day 1 41 190 7.4 67 5 1 2 36 118 8.0 72 5 2 3 12 149 12.6 74 5 3 4 18 313 11.5 62 5 4 5 NA NA 14.3 56 5 5 6 28 NA 14.9 66 5 6
In the above dataset, we can clearly see the NA value inside the columns which will generate the error or not produce the accurate predictions for Machine Learning Model.
Data Cleaning in R
In this article, we will briefly be going through Data cleaning with its application and its technique for implementation in the R programming language.
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