1 |
Which of the following is an example of qualitative data? |
Temperature readings in degrees Celsius
Number of students in a class
Favourite ice cream flavours
Test scores out of 100
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2 |
What is data |
Processed information
A list of observed events
A collectionof numebrs only
Raw facts gathered about things
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3 |
------------- is a method of collecting information from individuals. |
Data Finding
Data hiding
Survey
Data visualization
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4 |
Customer satisfaction level such as satisfied, dissatisfied and neutral are examples of ................ data type. |
Discrete data
Numericla data
Ordinal data
Continous data
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5 |
------------ is limitation of big data. |
Statistical data
Unlimited growth of data
Data visualiztion
Predictive maintence
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6 |
------include the dtat which can only take certain values and cannot be further subdivided into smaller units. |
Ordinal Data
Referral data
Statitical data
Referral data
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7 |
-------is the fast rate at which data is received and acted on. |
Velocity
Volume
Variety
Vision
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8 |
-------------- is the grahical represnetation of data through use of common charts, plots, infographics and animations. |
Data cleaning
Missing values
Data visualization
Data hiding
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9 |
------------refer to the process of carefully examining and studing data to identify patterns, draw conculsios, or make the data meaningful |
Data analytics
Daa predictions
Data set
Data base
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10 |
--------- is a structured or processsed collection of data usually associated with a unique body of work |
Dataset
Data base
Data and information
Information
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11 |
What is the primay purpose of data preprocessing in big data analytics. |
To increase data storage costs
To prepare raw data for analysis
To eliminate the need for data visualization
To reduce the volume of data
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12 |
Which programming language is commonly used for bign data analytics and machine learning tasks. |
Java
C++
Phyton
Ruby
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