Data Analysis Python

Question 1

Matplotlib is automatically installed with Pandas.

Accepted Answer

False

Question 2

How do you create a line plot in Matplotlib?

Accepted Answer

plt.plot()

Question 3

What function in Pandas is used to display the first few rows of a DataFrame?

Accepted Answer

df.head()

Question 4

np.mean([1, 2, 3]) calculates the average (2.0)

Accepted Answer

True

Question 5

The .shape attribute in NumPy returns the number of rows and columns in an array.

Accepted Answer

True

Question 6

plt.bar() is used to create a line plot.

Accepted Answer

False

Question 7

Which method is used to display a scatter plot in Matplotlib?

Accepted Answer

plt.scatter()

Question 8

How do you install NumPy and Pandas in a virtual environment?

Accepted Answer

pip install numpy pandas

Question 9

In Pandas, df.describe() provides summary statistics of a DataFrame.

Accepted Answer

True

Question 10

np.mean() is used to find the maximum value in a NumPy array.

Accepted Answer

False

Question 11

What is the primary purpose of NumPy in Python?

Accepted Answer

Performing mathematical operations on arrays

Question 12

The plt.show() function is required to display a Matplotlib plot.

Accepted Answer

True

Question 13

What is the function of Matplotlib?

Accepted Answer

Generating plots and visualizations

Question 14

Matplotlib is only used for line graphs.

Accepted Answer

False

Question 15

Which Pandas function is used to read a CSV file?

Accepted Answer

pd.read_csv()

Question 16

NumPy is faster than Python lists for numerical operations.

Accepted Answer

True

Question 17

Which code adds an x-axis label to a plot?

Accepted Answer

plt.xlabel("Month")

Question 18

How do you select the "Age" column in a Pandas DataFrame df?

Accepted Answer

df['Age']

Question 19

Pandas DataFrames are like tables in Excel.

Accepted Answer

True

Question 20

Which function in NumPy is used to create an array?

Accepted Answer

array()

Questions 20