How to import and clean Excel data in R assignments?

How to import and clean Excel data in R assignments?

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in order to learn how to import and clean Excel data in R assignments, I will write an example, which includes a step-by-step approach and code. First, I will create an Excel file. In it, I will enter data about employees, such as their name, age, salary, and department. I will also enter their job titles and their work hours. Now, I will create a new R script to import the data. my sources Here’s an example of such a code: “`R data <- read.csv("employees.csv")

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In R, we don’t have direct ability to work with Excel Data. additional info To work with Excel data, we need to download the Excel file on the local computer and manipulate the file with Excel. But, I know that Excel is also available on your device. To work with Excel data using R, we can use ‘readxl’ package, ‘janitor’ package and ‘readxl’ package. In short, we can use Excel in R, but in my opinion, ‘readxl’ and ‘janitor’ are the better and easiest tools. I will write

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In R, we can import Excel data by loading data.csv file (also known as data.table) using the `read_csv` function. We need to define the `data.csv` as a file path in R, and then read the data into R using `read_csv()`. Suppose we have an Excel file `data.xlsx` and we want to load it into R. To do so, we will need to define the Excel file path and open it using the `xlsx` package. library(xlsx)

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1) Import Data from Excel File: In R, you can import data into your R environment from Excel file by using `readxl` package. Here’s a basic code snippet to do that: “`r # Importing Excel file using readxl package library(readxl) # Example of Excel file example_data <- read_excel('example_data.xlsx') # Example of R dataframe to save the data df_imported <- as.data.frame(example_data) ``` Here'

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