Welcome to the Data Analysis with Python MCQs Page

Dive deep into the fascinating world of Data Analysis with Python with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Analysis with Python, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Analysis with Python, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

Check out the MCQs below to embark on an enriching journey through Data Analysis with Python. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Analysis with Python. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Analysis with Python MCQs | Page 2 of 7

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Data Science Basics

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Developing Data Products

Q11.

The plot method on Series and DataFrame is just a simple wrapper around ____________

gplt.plot()

plt.plot()

plt.plotgraph()

none of the mentioned

Discuss

Answer: (b).plt.plot()

Q12.

Point out the correct combination with regards to kind keyword for graph plotting.

‘hist’ for histogram

‘box’ for boxplot

‘area’ for area plots

all of the mentioned

Discuss

Answer: (d).all of the mentioned

Q13.

Which of the following value is provided by kind keyword for barplot?

bar

kde

hexbin

none of the mentioned

Discuss

Answer: (a).bar

Q14.

You can create a scatter plot matrix using the __________ method in pandas.tools.plotting.

sca_matrix

scatter_matrix

DataFrame.plot

all of the mentioned

Discuss

Answer: (b).scatter_matrix

Q15.

Point out the wrong combination with regards to kind keyword for graph plotting.

‘scatter’ for scatter plots

‘kde’ for hexagonal bin plots

‘pie’ for pie plots

none of the mentioned

Discuss

Answer: (b).‘kde’ for hexagonal bin plots

Q16.

Which of the following plots are used to check if a data set or time series is random?

Lag

Random

Lead

None of the mentioned

Discuss

Answer: (a).Lag

Q17.

Plots may also be adorned with error bars or tables.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Q18.

Which of the following plots are often used for checking randomness in time series?

Autocausation

Autorank

Autocorrelation

None of the mentioned

Discuss

Answer: (c).Autocorrelation

Q19.

__________ plots are used to visually assess the uncertainty of a statistic.

Lag

RadViz

Bootstrap

None of the mentioned

Discuss

Answer: (c).Bootstrap

Q20.

Andrews curves allow one to plot multivariate data.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Page 2 of 7

Welcome to the Data Analysis with Python MCQs Page

Data Analysis with Python MCQs | Page 2 of 7

Explore more Topics under Data Science

Data Science Basics

Data Manipulation

Data Analysis and Research

Statistical Inference and Regression Models

Machine Learning

Developing Data Products

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