In this tutorial we will learn how to replace missing values/NA in a column with a specific value. We will replace NA in a column using two approaches. At first we will use dplyr function mutate and ifelse to identify the element(s) with NA and replace with a specific value. Next we will use base… Continue reading How to replace NA in a column with specific value
Category: replace NA
How to Replace NAs with Column mean using tidyverse
In this tutorial, we will learn how to replace missing values NAs in a data set with column means using tidyverse functions. Dealing with missing data is very important in doing data analysis. Understanding the origin of missing values NAs is very important to make a decision on what to do with them. In earlier… Continue reading How to Replace NAs with Column mean using tidyverse
How to Replace NA values with Column Mean
One of the ways to deal with missing values (or NAs) is to replace them with mean values (under certain assumptions). The process is called imputation. In this tutorial, we will learn how to replace missing values (NAs) with column mean. First we will create some data with missing values and then show how to… Continue reading How to Replace NA values with Column Mean
How to Replace NA values in a dataframe with Zeros?
In this tutorial, we will learn how to replace all NA values in dataframe with a specific value like zero in R. Create a dataframe with NA values Let us get started with creating a dataframe with missing values,i.e. NAs in columns. We first create a vector with NAs using sample() function, where we sample… Continue reading How to Replace NA values in a dataframe with Zeros?