Data analysis with python

1. Which of the following is used to compute the percent change over a given number of periods?

pct_change
percent_change
per_change
none of the mentioned

Detailed SolutionWhich of the following is used to compute the percent change over a given number of periods?

2. Which of the following list-like data structure is used for managing a dynamic collection of SparseArrays?

SparseList
GeoList
SparseSeries
All of the mentioned

Detailed SolutionWhich of the following list-like data structure is used for managing a dynamic collection of SparseArrays?

3. Which of the following object you get after reading CSV file?

DataFrame
Character Vector
Panel
All of the mentioned

Detailed SolutionWhich of the following object you get after reading CSV file?

4. What Python function is used to perform element-wise mathematical operations on Numpy arrays?

describe()
plt.plot()
df.apply()
np.add()

Detailed SolutionWhat Python function is used to perform element-wise mathematical operations on Numpy arrays?

5. All values of categorical data are either in categories or np.nan.

TRUE
nan
nan
nan

Detailed SolutionAll values of categorical data are either in categories or np.nan.

6. Point out the wrong statement.

min, max, idxmin, idxmax operations are supported on Series
You cannot pass a timedelta to get a particular value
Division by the numpy scalar is true division
None of the mentioned

Detailed SolutionPoint out the wrong statement.

7. Which Python library is commonly used for data preprocessing tasks, such as feature scaling and transformation in machine learning?

Matplotlib
Numpy
Scikit-learn
Pandas

Detailed SolutionWhich Python library is commonly used for data preprocessing tasks, such as feature scaling and transformation in machine learning?

8. Numeric reduction operation for timedelta64[ns] will return . . . . . . . . objects.

Timeseries
Timeplus
Timedelta
None of the mentioned

Detailed SolutionNumeric reduction operation for timedelta64[ns] will return . . . . . . . . objects.

9. In Python, which library is often used for deep learning tasks, including neural network construction and training, with a focus on simplicity and flexibility?

Numpy
Keras
TensorFlow
Numpy

Detailed SolutionIn Python, which library is often used for deep learning tasks, including neural network construction and training, with a focus on simplicity and flexibility?

10. In Pandas, what method is used to calculate summary statistics for numerical columns in a DataFrame?

groupby()
value_counts()
describe()
reshape()

Detailed SolutionIn Pandas, what method is used to calculate summary statistics for numerical columns in a DataFrame?

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