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R Programmingprogramming~15 mins

read.table and delimiters in R Programming - Mini Project: Build & Apply

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Reading Data with read.table and Delimiters in R
📖 Scenario: You have a small data file with information about fruits and their prices separated by commas. You want to read this data into R for analysis.
🎯 Goal: Learn how to use read.table with the correct delimiter to load data from a text file into a data frame.
📋 What You'll Learn
Create a text file with fruit data separated by commas
Set a variable for the file path
Use read.table with the correct delimiter to read the file
Print the resulting data frame
💡 Why This Matters
🌍 Real World
Reading data files with different delimiters is common when working with data from various sources like spreadsheets or exported reports.
💼 Career
Data analysts and scientists often need to import data correctly to analyze it, so knowing how to use read.table with delimiters is essential.
Progress0 / 4 steps
1
Create a CSV data file
Create a text file called fruits.csv with the following content exactly:
Fruit,Price Apple,1.2 Banana,0.5 Cherry,2.5
R Programming
Need a hint?

Use writeLines() to create the file with the exact lines.

2
Set the file path variable
Create a variable called file_path and set it to the string "fruits.csv".
R Programming
Need a hint?

Use the assignment operator <- to assign the string to file_path.

3
Read the CSV file using read.table
Use read.table with the variable file_path, set header = TRUE, and set the sep argument to a comma ",". Store the result in a variable called fruit_data.
R Programming
Need a hint?

Remember to set header = TRUE to read the first line as column names.

4
Print the data frame
Print the variable fruit_data to display the data frame.
R Programming
Need a hint?

Use print(fruit_data) to show the data frame.