Why data loading is the first step in R Programming - See It in Action

Why data loading is the first step

📖 Scenario: Imagine you want to analyze your monthly expenses saved in a file. Before you can do any calculations or summaries, you need to get that data into your program.

🎯 Goal: Learn why loading data into your program is the very first step before any analysis or processing.

📋 What You'll Learn

Create a variable to load data from a CSV file

Create a variable to hold a threshold value

Use a condition to filter data based on the threshold

Print the filtered data

💡 Why This Matters

🌍 Real World

In real life, you often start by loading data from files before analyzing sales, expenses, or survey results.

💼 Career

Data loading is a fundamental skill for data analysts, scientists, and anyone working with data in programming.

1

Load the data from a CSV file

Write code to load the CSV file named expenses.csv into a variable called data using read.csv().

R Programming

# Load the CSV file named expenses.csv into a variable called data
# Your code here

Need a hint?

Use read.csv() function with the file name inside the parentheses and quotes.

2

Set a threshold for filtering

Create a variable called threshold and set it to 100 to filter expenses greater than this amount.

R Programming

data <- read.csv("expenses.csv")
# Create a variable called threshold and set it to 100
# Your code here

Need a hint?

Just assign the number 100 to a variable named threshold.

3

Filter the data using the threshold

Create a new variable called filtered_data that contains only rows from data where the Amount column is greater than threshold.

R Programming

data <- read.csv("expenses.csv")
threshold <- 100
# Filter data where Amount is greater than threshold and save to filtered_data
# Your code here

Need a hint?

Use data[data$Amount > threshold, ] to select rows where Amount is greater than threshold.

4

Print the filtered data

Write code to print the filtered_data variable to see the expenses greater than the threshold.

R Programming

data  threshold, ]
# Print the filtered_data
# Your code here

Need a hint?

Use print() to display the filtered data.