ISST306 | Quiz 1

1. Which library is commonly used in Python for data manipulation and analysis?

• NumPy

• Pandas

• Matplotlib

• 1. Seaborn
     

2. What is the output of df.head(3) in a Pandas DataFrame?

• 1. The last 3 rows

• The first 3 rows

• All rows with null values

• 1. The number of columns

3. Which function is used to compute descriptive statistics of a DataFrame?

• 1. df.mean()

• 1. df.info()

• 1. df.describe()

• 1. df.sum()
     

4. Which library is typically used for data visualization in Python?

• TensorFlow

• Scikit-learn

• 1. Matplotlib

• 1. BeautifulSoup
     

5. 5. What is the purpose of the groupby() method in Pandas?

• To visualize grouped data

• To split and aggregate data based on column values

• To sort values in ascending order

• 1. To merge two DataFrames
     

6. 6. How do you remove rows with missing values from a DataFrame?

• 1. df.dropna()

• 1. df.fillna()

• 1. df.remove_null()

• 1. df.clean()
     

7. 7. Which method reads a CSV file into a Pandas DataFrame?

• 1. pd.read_csv()

• 1. pd.load_csv()

• 1. pd.import_csv()

• 1. pd.open_csv()
     

8. 8. What does df.corr() compute?

• Median values

• 1. Correlation matrix between numerical columns

• Frequency counts

• 1. Null value percentages
     

9. 9. How can you concatenate two DataFrames vertically?

• 1. pd.merge()

• 1. pd.join()

• 1. pd.concat([df1, df2])

• 1. pd.stack()
     

10. 10. Which function can replace null values with a specified value?

• 1. dropna()

• 1. isnull()

• 1. fillna()

• 1. replace()