Word frequency analysis in Data Analysis Python - Mini Project: Build & Apply

Word frequency analysis

📖 Scenario: Imagine you have a short paragraph of text from a book or an article. You want to find out how many times each word appears in that text. This is useful for understanding which words are used most often.

🎯 Goal: You will create a program that counts how many times each word appears in a given text and then shows the counts.

📋 What You'll Learn

Create a dictionary with words as keys and their counts as values

Use a variable to hold the text to analyze

Use a loop to count the words

Print the final word counts

💡 Why This Matters

🌍 Real World

Word frequency analysis helps in understanding text data, like finding popular topics or keywords in articles, social media, or customer reviews.

💼 Career

Data scientists and analysts use word frequency counts to prepare text data for further analysis or machine learning.

1

Create the text data

Create a variable called text and set it to the exact string: 'Data science is fun and data is powerful'

Data Analysis Python

# Create a variable called text with the given string
# Your code here

Hint

Use single or double quotes to create the string exactly as shown.

2

Prepare the word list

Create a variable called words that contains the list of words from text by splitting text on spaces using text.split()

Data Analysis Python

text = 'Data science is fun and data is powerful'
# Create a list called words by splitting text on spaces
# Your code here

Hint

Use the split() method on the text variable without any arguments.

3

Count the words

Create an empty dictionary called word_counts. Then use a for loop with the variable word to go through each word in words. Inside the loop, add 1 to the count for each word in word_counts. If the word is not in the dictionary, add it with count 1.

Data Analysis Python

text = 'Data science is fun and data is powerful'
words = text.split()
# Create an empty dictionary called word_counts
# Use a for loop to count each word in words
# Your code here

Hint

Use dict.get(key, 0) to get the current count or 0 if the word is new.

4

Display the word counts

Write a print statement to display the word_counts dictionary.

Data Analysis Python

text = 'Data science is fun and data is powerful'
words = text.split()
word_counts = {}
for word in words:
    word_counts[word] = word_counts.get(word, 0) + 1
# Print the word_counts dictionary
# Your code here

Hint

Use print(word_counts) to show the dictionary.