Factor in analysis and plotting in R Programming - Mini Project: Build & Apply

Factor in analysis and plotting

📖 Scenario: You are working with a small dataset of fruit preferences collected from a group of people. Each person chose their favorite fruit from a list. You want to analyze how many people chose each fruit and then create a simple bar plot to visualize the counts.

🎯 Goal: Build a program that creates a factor variable for fruit preferences, counts how many times each fruit was chosen, and then plots these counts in a bar chart.

📋 What You'll Learn

Create a vector called fruits with the exact values: "apple", "banana", "apple", "orange", "banana", "banana", "apple".

Convert the fruits vector into a factor called fruit_factor.

Use the table() function on fruit_factor to count the number of each fruit and store it in fruit_counts.

Create a bar plot of fruit_counts with the title "Fruit Preferences".

💡 Why This Matters

🌍 Real World

Analyzing survey data where answers are categories, like favorite fruits, colors, or brands.

💼 Career

Data analysts and scientists often work with categorical data and need to summarize and visualize it clearly.

1

Create the fruit vector

Create a character vector called fruits with these exact values: "apple", "banana", "apple", "orange", "banana", "banana", "apple".

R Programming

# Create the fruits vector with the exact values
# Your code here

Need a hint?

Use the c() function to combine the fruit names into a vector.

2

Convert to a factor

Convert the fruits vector into a factor called fruit_factor using the factor() function.

R Programming

fruits <- c("apple", "banana", "apple", "orange", "banana", "banana", "apple")
# Convert fruits to a factor called fruit_factor
# Your code here

Need a hint?

Use fruit_factor <- factor(fruits) to convert the vector to a factor.

3

Count the factor levels

Use the table() function on fruit_factor to count how many times each fruit appears. Store the result in a variable called fruit_counts.

R Programming

fruits <- c("apple", "banana", "apple", "orange", "banana", "banana", "apple")
fruit_factor <- factor(fruits)
# Count the number of each fruit and store in fruit_counts
# Your code here

Need a hint?

Use fruit_counts <- table(fruit_factor) to get counts of each fruit.

4

Plot the fruit counts

Create a bar plot of fruit_counts using the barplot() function. Add the title "Fruit Preferences" using the main argument.

R Programming

fruits <- c("apple", "banana", "apple", "orange", "banana", "banana", "apple")
fruit_factor <- factor(fruits)
fruit_counts <- table(fruit_factor)
# Create a bar plot of fruit_counts with title "Fruit Preferences"
# Your code here

Need a hint?

Use barplot(fruit_counts, main = "Fruit Preferences") to create the plot with a title.