Question # 1

Which of the following key concepts involves transforming raw data into a structured format that is suitable fof analyis.

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Data ethics

Data modeling

Data exploration

Data collection

Which of the following is an example of interval scaled attribute.

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Age

Weight

Temperature in Celsius

Hight

What does the volume characteristic of big data refer to.

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The speed at which data is generated

The different forms data can take

The sheer amount of data being collected

The way data is processed

What is the main purpose of data collection ?

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to delete old data

To format text documents

To gather information to answer questions or make decisions

to create random numbers

How many types of data analysis are availabe?

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1

2

3

4

-------------- is the grahical represnetation of data through use of common charts, plots, infographics and animations.

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Data cleaning

Missing values

Data visualization

Data hiding

Whcih tool is specifically designed for creatin detailed nd interactive visualizations?

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Tableau

Power point

Google Sheets

Microsoft Excel

Which of the following is an example of qualitative data?

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Temperature readings in degrees Celsius

Number of students in a class

Favourite ice cream flavours

Test scores out of 100

What is the primary function of data collection in the context of data science?

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Data analysis

Data retrieval

Data generation

Data Storaage

What does data encryption do?

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It automatically delet old data

It speeds up internet connection

It converts data into a code to prevent unauthorized access

It makes data availabel to every one online

What is the primary purpose of data visualization.

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To hide complex data

To make data easier to undrstand by turning it into pictures

To generate random numbrs

To conert text into data

------------ is limitation of big data.

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Statistical data

Unlimited growth of data

Data visualiztion

Predictive maintence

------include the dtat which can only take certain values and cannot be further subdivided into smaller units.

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Ordinal Data

Referral data

Statitical data

Referral data

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