PL-300 · Question #20
You have a table that contains sales data and approximately 1,000 rows. You need to identify outliers in the table. Which type of visualization should you use?
The correct answer is C. scatter plot. A scatter plot is the standard visualization for identifying outliers because it plots individual data points on an X/Y axis, making anomalous points visually stand out from the main cluster. With ~1,000 rows of sales data, the distribution and any extreme values are…
Question
You have a table that contains sales data and approximately 1,000 rows. You need to identify outliers in the table. Which type of visualization should you use?
Options
- Aarea chart
- Bdonut chart
- Cscatter plot
- Dpie chart
How the community answered
(43 responses)- A2% (1)
- B7% (3)
- C88% (38)
- D2% (1)
Explanation
A scatter plot is the standard visualization for identifying outliers because it plots individual data points on an X/Y axis, making anomalous points visually stand out from the main cluster. With ~1,000 rows of sales data, the distribution and any extreme values are immediately apparent. Area charts (A) and line charts aggregate trends over time and obscure individual data points. Donut (B) and pie (D) charts show proportional parts of a whole and are not designed for outlier detection.
Topics
Community Discussion
No community discussion yet for this question.