Python for Data Anlaysis Quiz- 7

1. What is NumPy primarily used for?

• a) Data analysis

• b) Data visualization

• c) Numerical computing and data manipulation

• d) Machine learning

2. In NumPy, what is the main data structure used for handling multidimensional arrays?

• a) List

• b) Dictionary

• c) DataFrame

• d) ndarray

3. Which library is best suited for data manipulation and analysis in Python?

• a) NumPy

• b) Matplotlib

• c) SciPy

• d) Seaborn

4. What does the `pd` alias commonly represent in Pandas code?

• a) A Python dictionary

• b) A Pandas DataFrame

• c) A NumPy array

• d) A Python list

5. How can you select a specific column in a Pandas DataFrame named `df`?

• a) `df.select_column("column_name")`

• b) `df.get_column("column_name")`

• c) `df["column_name"]`

• d) `df.column("column_name")`

6. What is the primary function of the `df.describe()` method in Pandas?

• a) Display basic statistics of the DataFrame

• b) Plot the data in the DataFrame

• c) Create a new column in the DataFrame

• d) Sort the DataFrame by a specified column

7. Which of the following methods is used to drop rows with missing data in a Pandas DataFrame?

• a) `df.fillna()`

• b) `df.remove_null()`

• c) `df.dropna()`

• d) `df.clean()`

8. What is the purpose of the `np.arange(10)` function in NumPy?

• a) Create a 1D array with values from 0 to 9

• b) Create a 2D array with random values

• c) Return the sum of the elements in an array

• d) Perform element-wise multiplication

9. In Pandas, how can you filter rows of a DataFrame based on a condition?

• a) Using the `df.filter()` method

• b) Using a `for` loop

• c) Using boolean indexing

• d) Using the `df.extract()` method

10. Which NumPy function can be used to calculate the dot product of two arrays?

• a) `np.dot()`

• b) `np.multiply()`

• c) `np.cross()`

• d) `np.transpose()`