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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.

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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 6 of 7

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Q51.
Quandl API for Python wraps the ________ REST API to return Pandas DataFrames with time series indexes.

a.

Quandl

b.

PyDatastream

c.

PyData

d.

None of the mentioned

Discuss
Answer: (a).Quandl
Q52.
Point out the correct statement.

a.

Statsmodels provides powerful statistics, econometrics, analysis and modeling functionality that is out of panda’s scope

b.

Vintage leverages pandas objects as the underlying data container for computation

c.

Bokeh is a Python interactive visualization library for small datasets

d.

All of the mentioned

Discuss
Answer: (a).Statsmodels provides powerful statistics, econometrics, analysis and modeling functionality that is out of panda’s scope
Q53.
Which of the following library is used to retrieve and acquire statistical data and metadata disseminated in SDMX 2.1?

a.

pandaSDMX

b.

freedapi

c.

geopandas

d.

all of the mentioned

Discuss
Answer: (a).pandaSDMX
Q54.
Which of the following provides a standard API for doing computations with MongoDB?

a.

Blaze

b.

Geopandas

c.

FRED

d.

All of the mentioned

Discuss
Answer: (a).Blaze
Q55.
Point out the wrong statement.

a.

qgrid is an interactive grid for sorting and filtering DataFrames

b.

Pandas DataFrames implement _repr_html_ methods which are utilized by IPython Notebook

c.

Spyder is a cross-platform Qt-based open-source R IDE

d.

None of the mentioned

Discuss
Answer: (c).Spyder is a cross-platform Qt-based open-source R IDE
Q56.
Which of the following makes use of pandas and returns data in a series or dataFrame?

a.

pandaSDMX

b.

freedapi

c.

OutPy

d.

none of the mentioned

Discuss
Answer: (b).freedapi
Q57.
Spyder can introspect and display Pandas DataFrames.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q58.
Which of the following is used for machine learning in python?

a.

scikit-learn

b.

seaborn-learn

c.

stats-learn

d.

none of the mentioned

Discuss
Answer: (a).scikit-learn
Q59.
The ________ project builds on top of pandas and matplotlib to provide easy plotting of data.

a.

yhat

b.

Seaborn

c.

Vincent

d.

None of the mentioned

Discuss
Answer: (b).Seaborn
Q60.
x-ray brings the labeled data power of pandas to the physical sciences.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Page 6 of 7

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