数据挖掘与数据分析,数据可视化试题

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数据挖掘与数据分析,数据可视化试题

1. Data Mining is also referred to as ……………………..

data analysis

data discovery(正确答案)

data recovery

Data visualization

2. Data Mining is a method and technique inclusive of ………………………….

data analysis.(正确答案)

data discovery

Data visualization

data recovery

3. In which step of Data Science consume Almost 80% of the work period of the

procedure.

Accumulating the data

Analyzing the data

Wrangling the data(正确答案)

Recapitulation of the Data

4. Which Step of Data Science allows the model to consistently improve and provide

punctual performance and deliverapproximate results.

Wrangling the data

Accumulating the data

Recapitulation of the Data(正确答案) Analyzing the data

5. Which tool of Data Science is robust machine learning library, which allows the

implementation of deep learning ?algorithms. S

Tableau

D3.js

Apache Spark

TensorFlow(正确答案)

6. What is the main aim of Data Mining ?

to obtain data from a less number of sources and to transform it into a more useful

version of itself.

to obtain data from a less number of sources and to transform it into a less useful version

of itself.

to obtain data from a great number of sources and to transform it into a less useful

version of itself.

to obtain data from a great number of sources and to transform it into a more useful

version of itself.(正确答案)

7. In which step of data mining the irrelevant patterns are eliminated to avoid cluttering ?

Cleaning the data(正确答案)

Evaluating the data

Conversion of the data

Integration of data

8. Data Science t is mainly used for ………………. purposes. Data mining is mainly

used for ……………………. purposes.

scientific,business(正确答案)

business,scientific

scientific,scientific None

9. Pandas ………………... is a one dimensional labeled array capable of holding data of

any type (integer, string, float, python objects, etc.).

Series(正确答案)

Frame

Panel

None

10. How many principal components Pandas DataFrame consists of ?

4

2

1

3(正确答案)

11. Important data structure of pandas is/are ___________

Series

Data Frame

Both(正确答案)

None of the above

12. Which of the following command is used to install pandas?

pip install pandas(正确答案)

install pandas

pip pandas

None of the above

13. Which of the following function/method help to create Series?

series( )

Series( )(正确答案)

createSeries( )

None of the above

14. NumPY stands for?

Numbering Python

Number In Python

Numerical Python(正确答案)

None Of the above

15. Which of the following is not correct sub-packages of SciPy?

scipy.integrate

scipy.source(正确答案)

scipy.interpolate

scipy.signal

16. How to import Constants Package in SciPy?

import scipy.constants

from scipy.constants(正确答案)

import scipy.constants.package

from scipy.constants.package

17. ………………….. involveslooking at and describing the data set from different

angles and then summarizing it ?

Data Frame

Data Visualization

EDA(正确答案)

All of the above

18. what involves the preparation of data sets for analysis by removing irregularities in

the data so that these irregularities do not affect further steps in the process of data

analysis and machine learning model building ?

Data Analysis

EDA(正确答案)

Data Frame

None of the above

19. What is not Utility of EDA ?

Maximize the insight in the data set

Detect outliers and anomalies

Visualization of data

Test underlying assumptions(正确答案)

20. what can hamper the further steps in the machine learning model building process If

not performed properly ?

Recapitulation of the Data

Accumulating the data

EDA(正确答案) None of the above

21. Which plot for EDA to check the dependency between two variables ?

Histograms

Scatter plots(正确答案)

Maps

Time series plots

22. What function will tell you the top records in the data set?

shape

head(正确答案)

show

all of the aboce

23. what type of data is useful for internal policymaking and business strategy building

for an organization ?

public data

private data(正确答案)

both

None of the above

24. The ………… function can “fill in” NA valueswith non-null data ?

head

fillna(正确答案)

shape

all of the above