NSCT-Exploratory Data Analysis (EDA) MCQs 20 min Score: 0 Attempted: 0/20 Subscribe 1. . Exploratory Data Analysis (EDA) is: (A) Compressing data only (B) Encrypting datasets only (C) The process of analyzing datasets to summarize their main characteristics using visual and statistical methods (D) Backup onlyShow All Answers 2. . The main goal of EDA is to: (A) Understand data patterns, detect anomalies, and check assumptions before modeling (B) Encrypt assumptions (C) Compress patterns (D) Backup only 3. . Common statistical measures used in EDA include: (A) Backup only (B) Encrypting statistics only (C) Compressing statistics only (D) Mean, median, mode, standard deviation, and variance 4. . The standard deviation in EDA measures: (A) Backup only (B) Encrypting data variation (C) Compressing dispersion (D) The amount of variation or dispersion of a dataset 5. . Skewness indicates: (A) Compressing distribution (B) Encrypting asymmetry (C) The asymmetry of the data distribution (D) Backup only 6. . Kurtosis measures: (A) Compressing peaks (B) Encrypting tails (C) The "tailedness" or peakedness of the data distribution (D) Backup only 7. . Outliers in EDA are: (A) Backup only (B) Encrypting outliers (C) Compressing outliers (D) Data points that are significantly different from other observations 8. . Box plots in EDA are used to: (A) Compress plots (B) Encrypt box data (C) Visualize the distribution, median, quartiles, and outliers of a dataset (D) Backup only 9. . Histograms in EDA help to: (A) Show the frequency distribution of a dataset (B) Encrypt frequencies (C) Compress histogram (D) Backup only 10. . Scatter plots are used in EDA to: (A) Encrypt plots (B) Visualize relationships or correlations between two variables (C) Compress plots (D) Backup only 11. . Pair plots in EDA are used to: (A) Compress pair data (B) Encrypt pairs (C) Visualize pairwise relationships between multiple variables simultaneously (D) Backup only 12. . Correlation analysis in EDA helps to: (A) Measure the strength and direction of the relationship between two variables (B) Encrypt correlations (C) Compress correlation data (D) Backup only 13. . Heatmaps in EDA are used for: (A) Backup only (B) Encrypting heatmaps (C) Compressing maps (D) Visualizing correlation matrices or large datasets 14. . Missing value analysis in EDA identifies: (A) Encrypting missing data (B) Incomplete or null entries in the dataset (C) Compressing nulls (D) Backup only 15. . Frequency tables in EDA are used to: (A) Summarize the count of unique values in categorical variables (B) Encrypt frequency (C) Compress tables (D) Backup only 16. . EDA helps in feature selection because: (A) Backup only (B) Encrypting features (C) Compressing features (D) It identifies important variables and relationships relevant for modeling 17. . Categorical variable visualization in EDA is often done using: (A) Backup only (B) Encrypting categories (C) Compressing charts (D) Bar charts or count plots 18. . Continuous variable visualization in EDA is often done using: (A) Encrypting continuous data (B) Histograms, box plots, or density plots (C) Compressing continuous data (D) Backup only 19. . Outlier treatment in EDA may include: (A) Backup only (B) Encrypting outliers (C) Compressing outliers (D) Removing, capping, or transforming extreme values 20. . The main purpose of EDA is to: (A) Encrypt data only (B) Understand, visualize, and summarize data to prepare for modeling and analysis (C) Compress files only (D) Backup only
