Exploratory Data Analysis Fundamentals Quiz

1. What is the primary goal of exploratory data analysis?

Build predictive models immediately

Understand data structure, patterns, and anomalies

Deploy models to production

Collect more raw data

2. What does the 68-95-99.7 rule describe?

Percentages of data within standard deviations in a normal distribution

The ratio of mean to median

Quartile divisions in any dataset

Outlier detection thresholds

3. What does high kurtosis indicate about a distribution?

The distribution is symmetric

The distribution has heavy tails and sharp peak

The distribution is uniform

The distribution has no outliers

4. Which technique is used to handle missing data in EDA?

Deletion, imputation, or prediction

Only delete rows with missing values

Ignore missing data completely

Replace with random numbers

5. What is the purpose of standardization in data preprocessing?

Remove categorical variables

Scale features to have mean 0 and standard deviation 1

Increase dataset size

Convert all data to integers

6. What does skewness measure in a distribution?

The spread of data

The asymmetry of the distribution

The number of outliers

The correlation strength

7. What is the purpose of feature engineering in EDA?

Delete low-quality variables

Create new variables from existing ones to improve model performance

Reduce dataset size

Replace all missing values

8. What is a heatmap commonly used for in EDA?

Showing time series data

Visualizing correlation matrices

Displaying categorical frequencies

Comparing group means

9. Which visualization is best for showing the distribution of a continuous variable?

Bar chart

Histogram

Pie chart

Scatter plot

10. Which of these is NOT a common data quality issue?

Missing values

Duplicate records

Perfectly normal distribution

Inconsistent data types

11. Which method combines multiple visualizations to show multivariate relationships?

Pair plot

Histogram

Line chart

Pie chart

12. How do you identify outliers using the interquartile range method?

Values beyond mean ± 3 standard deviations

Values beyond Q1 - 1.5×IQR or Q3 + 1.5×IQR

Values in the top 10% of distribution

Any value different from the median

13. Which plot shows the relationship between two continuous variables?

Histogram

Box plot

Scatter plot

Bar chart

14. What does a correlation coefficient of -0.85 indicate?

No relationship between variables

Strong positive relationship

Strong negative relationship

Weak positive relationship

15. Which measure of central tendency is most affected by outliers?

Median

Mode

Mean

Range

16. What does a box plot display?

Frequency of categories

Quartiles, median, and outliers

Correlation between two variables

Time series trends

17. Which statistical test checks if two groups have significantly different means?

Chi-square test

T-test

ANOVA

Pearson correlation

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General Data Science Beginner Exploratory Data Analysis Quiz

1. What is the primary goal of exploratory data analysis?

2.

What first name or nickname would you like us to use?

2. What does the 68-95-99.7 rule describe?

3. What does high kurtosis indicate about a distribution?

4. Which technique is used to handle missing data in EDA?

5. What is the purpose of standardization in data preprocessing?

6. What does skewness measure in a distribution?

7. What is the purpose of feature engineering in EDA?

8. What is a heatmap commonly used for in EDA?

9. Which visualization is best for showing the distribution of a continuous variable?

10. Which of these is NOT a common data quality issue?

11. Which method combines multiple visualizations to show multivariate relationships?

12. How do you identify outliers using the interquartile range method?

13. Which plot shows the relationship between two continuous variables?

14. What does a correlation coefficient of -0.85 indicate?

15. Which measure of central tendency is most affected by outliers?

16. What does a box plot display?

17. Which statistical test checks if two groups have significantly different means?

18. A ______ plot displays the relationship between a categorical and continuous variable.

19. The ______ is the middle value that divides a dataset into two equal halves.

20. ______ is the process of converting categorical variables into numerical format for analysis.