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Python Exploratory Data Analysis
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Python Exploratory Data Analysis
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18 Questions

1. You are presented with a dataset that is a 25% simple random sample of a database containing all current members of Congress. Variables include gender, tenure, -home state, and age. You have access to the entire database. What can you do to validate that the sample taken is truly random
2. You want to compute the variance of a dataset that came from a sample, and have already computed the sum of square deviations from the mean. What is the next step
3. If the correlation between two variables is -0.9, what can you conclude?
4. What is defined as a measure of central tendency?
5. You are given time-series data and are asked whether there is a trend. Which type of plot will help you answer the question?
6. You are given a dataset that is centered at 10, with a standard deviation of 4. You notice that one of the observations is a value of 19. What can you
conclude about that observation
7. Which of the following plots allows for easy identification of outliers?
8. What is the main difference between exploratory data analysis (EDA) and classical data analysis (CDA)?
9. Which of the following plots allows for easy identification of outliers?
10. How would you visually testif covariance occurs between a continuous variable and a categorical variable?
11. What is defined as a measure of central tendency?
12. What is the mode of a dataset?
13. You want to compute the variance of a dataset that came from a sample, and have already computed the sum of square deviations from the mean. What is the next step
14. You have a small dataset that has values very close to each other. You compute the median and the mean, then add an extremely high value to the dataset, far -from the others, and recompute the median and mean. What happens to both the median and mean values
15. What is the mode of a dataset?
16. What is a characteristic of a correlation value?
17. You are presented with a dataset that is a 25% simple random sample of a database containing all current members of Congress. Variables include gender, tenure, -home state, and age. You have access to the entire database. What can you do to validate that the sample taken is truly random
18. You have a small dataset that has values very close to each other. You compute the median and the mean, then add an extremely high value to the dataset, far -from the others, and recompute the median and mean. What happens to both the median and mean values