R vs Python for data analysis in R Programming - Hands-On Comparison

R vs Python for data analysis

📖 Scenario: You are a data analyst who wants to compare how to do simple data analysis tasks in R and Python. You will create a small dataset, set a threshold, filter data based on that threshold, and then display the filtered results. This will help you understand the differences and similarities between R and Python for data analysis.

🎯 Goal: Build a small data analysis project in R that creates a dataset, sets a threshold, filters the data based on that threshold, and prints the filtered data. This will show how R handles these tasks compared to Python.

📋 What You'll Learn

Create a named numeric vector called scores with exact values

Create a numeric variable called threshold with the exact value

Use a logical condition to filter scores greater than threshold

Print the filtered scores

💡 Why This Matters

🌍 Real World

Filtering data based on conditions is a common task in data analysis, whether you use R or Python.

💼 Career

Data analysts and scientists often switch between R and Python, so understanding both helps in many jobs.

1

Create the data vector

Create a named numeric vector called scores with these exact entries: Alice = 58, Bob = 75, Charlie = 62

R Programming

# Create the named numeric vector scores
# Your code here

Need a hint?

Use the c() function with names inside to create a named vector.

2

Set the threshold value

Create a numeric variable called threshold and set it to 60

R Programming

scores <- c(Alice = 58, Bob = 75, Charlie = 62)
# Create the numeric variable threshold and set it to 60
# Your code here

Need a hint?

Just assign the number 60 to the variable threshold.

3

Filter scores above threshold

Create a new vector called filtered_scores that contains only the entries from scores where the value is greater than threshold

R Programming

scores <- c(Alice = 58, Bob = 75, Charlie = 62)
threshold <- 60
# Filter scores greater than threshold into filtered_scores
# Your code here

Need a hint?

Use logical indexing with scores > threshold inside the square brackets.

4

Print the filtered scores

Print the filtered_scores vector to display the filtered results

R Programming

scores  threshold]
# Print filtered_scores
# Your code here

Need a hint?

Use the print() function to show the filtered scores.