MS-DS Master of Data science MS-DS Master of Data science Exploratory Data Analysis Questions and Answers 3

Question 1

What is the purpose of a QQ (quantile-quantile) plot in exploratory data analysis?

Accepted Answer

To assess whether data follows a theoretical distribution

Answer

To compare means of two groups

Answer

To visualize categorical proportions

Answer

To detect time-series seasonality

Question 2

Which measure of central tendency is most robust to outliers?

Accepted Answer

Median

Answer

Mean

Answer

Weighted average

Answer

Geometric mean

Question 3

During EDA, what does a high kurtosis value indicate about a distribution?

Accepted Answer

Heavy tails and a sharp peak relative to a normal distribution

Answer

A perfectly flat distribution

Answer

The data is left-skewed

Answer

The variance is zero

Question 4

Which pandas method provides a quick statistical summary including count, mean, standard deviation, and quartiles?

Accepted Answer

describe()

Answer

info()

Answer

head()

Answer

value_counts()

Question 5

What is the main advantage of using a violin plot over a standard box plot?

Accepted Answer

It shows the full probability density of the data

Answer

It displays exact data point values

Answer

It calculates statistical significance

Answer

It removes all outliers automatically

Question 6

When exploring missing data patterns, which visualization technique reveals whether missingness is random or systematic?

Accepted Answer

Missing value heatmap or matrix plot

Answer

Scatter plot of complete cases only

Answer

Histogram of non-null values

Answer

Bar chart of column means