MS-DS Master of Data science Exploratory Data Analysis Questions and Answers Flashcards
6 cards from real MS-DS Master of Data science practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 MS-DS Master of Data science Exploratory Data Analysis Questions and Answers flashcards as text
Which visualization is most appropriate for examining the relationship between two continuous variables in exploratory data analysis?
Answer: Scatter plot
Scatter plots display individual data points along two continuous axes, making correlations and clusters visible.
What does a right-skewed distribution indicate about the data?
Answer: The tail extends toward higher values
Right-skewed (positively skewed) distributions have a longer tail on the right side, meaning most values cluster at lower ranges with some extreme high values.
In EDA, what is the primary purpose of computing the interquartile range (IQR)?
Answer: To measure the spread of the middle 50% of data
The IQR captures the range between the 25th and 75th percentiles, representing the central spread of the data.
Which technique helps identify multicollinearity among features during exploratory analysis?
Answer: Correlation heatmap
A correlation heatmap visualizes pairwise correlations between all features, making it easy to spot highly correlated variable pairs.
What does a bimodal distribution suggest about the underlying data?
Answer: The data likely contains two distinct subgroups
A bimodal distribution with two peaks typically indicates the presence of two overlapping subpopulations within the dataset.
When performing EDA on a dataset with 50 features, which method efficiently reduces dimensionality for visualization?
Answer: Principal Component Analysis (PCA)
PCA projects high-dimensional data onto fewer principal components while preserving maximum variance, enabling 2D or 3D visualization.