String cleaning (strip, lower, replace) in Data Analysis Python - Mini Project: Build & Apply

String cleaning (strip, lower, replace)

📖 Scenario: You work in a small online store. You receive customer feedback with messy text data. The text has extra spaces, mixed uppercase and lowercase letters, and some unwanted characters.Cleaning this text helps you analyze customer opinions better.

🎯 Goal: Clean a list of customer feedback strings by removing extra spaces, converting all letters to lowercase, and replacing unwanted characters.

📋 What You'll Learn

Create a list of feedback strings with exact given values

Create a variable for the unwanted character to replace

Use string methods strip(), lower(), and replace() to clean each feedback

Print the cleaned list of feedback strings

💡 Why This Matters

🌍 Real World

Cleaning text data is important in customer feedback analysis, social media monitoring, and preparing data for machine learning.

💼 Career

Data analysts and data scientists often clean messy text data before analysis or building models.

1

Create the feedback list

Create a list called feedback with these exact strings: ' Great product! ', 'Loved it!!', 'Not good...', ' Could be better ', 'Worst experience!!!'

Data Analysis Python

# Create the list called feedback with the exact strings
# Your code here

Hint

Use square brackets [] to create a list and include the exact strings with quotes.

2

Set the unwanted character

Create a variable called unwanted_char and set it to the exclamation mark character '!'

Data Analysis Python

feedback = ['  Great product!  ', 'Loved it!!', 'Not good...', '  Could be better  ', 'Worst experience!!!']
# Create the variable unwanted_char and set it to '!'
# Your code here

Hint

Use single quotes to assign the exclamation mark character to unwanted_char.

3

Clean the feedback strings

Create a new list called cleaned_feedback using a list comprehension. For each string f in feedback, apply strip(), then lower(), then replace all unwanted_char with an empty string ''.

Data Analysis Python

feedback = ['  Great product!  ', 'Loved it!!', 'Not good...', '  Could be better  ', 'Worst experience!!!']
unwanted_char = '!'
# Create cleaned_feedback list using list comprehension and string methods
# Your code here

Hint

Use a list comprehension with for f in feedback. Chain the string methods in order: strip(), lower(), then replace().

4

Print the cleaned feedback

Print the variable cleaned_feedback to display the cleaned list of feedback strings.

Data Analysis Python

feedback = ['  Great product!  ', 'Loved it!!', 'Not good...', '  Could be better  ', 'Worst experience!!!']
unwanted_char = '!'
cleaned_feedback = [f.strip().lower().replace(unwanted_char, '') for f in feedback]
# Print the cleaned_feedback list
# Your code here

Hint

Use print(cleaned_feedback) to show the cleaned list.