AWS Certified Machine Learning – SpecialtyExploratory Data AnalysisEasy
A data scientist is analyzing a large dataset of customer reviews to identify common themes and keywords. They want to create a visual representation where the prominence of a word is directly proportional to its frequency in the text. Which visualization technique is best suited for this purpose?
- ABar Chart
- BScatter Plot
- CWord Cloud
- DLine Graph
Show answer & explanationAnswer & explanation
Correct answer: C. Word Cloud
A word cloud is specifically designed to visually represent text data where the size of each word indicates its frequency or importance. This directly addresses the requirement of showing prominence proportional to frequency.
Why the other options are wrong
- A. A bar chart effectively shows frequencies but is not ideal for visualizing a large number of words in a space-efficient and aesthetically pleasing manner for theme identification.
- B. A scatter plot is used to show relationships between two numerical variables and is not suitable for visualizing word frequencies.
- D. A line graph is used to show trends over time or continuous data and is not appropriate for displaying word frequencies.
Word Cloud
A visual representation of text data, where the size of each word indicates its frequency or importance within the text.
- Quickly highlights prominent terms.
- Useful for qualitative data analysis and theme identification.
- Can be misleading if not pre-processed (e.g., stop words removal).
Memory trick: Words form a CLOUD to show their importance, like a thought bubble.