Analysts value clarity and interpretability in data presentations. Clean, simple-to-understand visuals help them accurately assess the data, model outputs, and insights without unnecessary complexity.
Question 2
Which R function plots a distribution of a single variable along two different axes?
Options:
A.
table()
B.
summaryQ
C.
density ()
D.
rug()
Answer:
D
Explanation:
The rug() function in R adds small tick marks along the axes of a plot to represent the distribution of a variable, effectively showing it along both axes for better visual interpretation.
Question 3
On which type of data should you run K-means clustering?
Options:
A.
Ordinal
B.
Numeric
C.
Text
D.
Nominal
Answer:
B
Explanation:
K-means clustering is best suited for numeric data, as it relies on calculating the Euclidean distance between data points, which is meaningful for numerical values.