Data Science Analysis 3

Question 1

What is the primary goal of exploratory data analysis (EDA)?

Accepted Answer

To understand patterns, anomalies, and structure before modeling

Answer

To deploy a model to production

Answer

To write the final report only

Answer

To delete all missing values

Question 2

Which technique is best for visualizing the relationship between two continuous variables?

Accepted Answer

Scatter plot

Answer

Pie chart

Answer

Bar chart of one variable

Answer

Word cloud

Question 3

A column has 40% missing values. Which is generally the most cautious first step?

Accepted Answer

Investigate why values are missing before imputing or dropping

Answer

Immediately fill all with zero

Answer

Delete the entire dataset

Answer

Ignore it and model anyway

Question 4

Standardizing a feature (z-score) transforms it to have:

Accepted Answer

Mean 0 and standard deviation 1

Answer

Mean 1 and variance 0

Answer

A range exactly 0 to 1

Answer

Only integer values

Question 5

Min-max normalization rescales values to which range by default?

Accepted Answer

0 to 1

Answer

-1 to 1

Answer

0 to 100

Answer

The original units

Question 6

A histogram shows two distinct peaks in the data. This distribution is described as:

Accepted Answer

Bimodal

Answer

Uniform

Answer

Symmetric and unimodal

Answer

Constant

Question 7

Which is a sign of multicollinearity among predictor variables?

Accepted Answer

Two predictors are highly correlated with each other

Answer

All predictors are categorical

Answer

The target has missing values

Answer

The dataset has few rows