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Data Cleaning Techniques

Authored by Wahyuni _

Computers

University

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Data Cleaning Techniques
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15 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is data cleaning?

A process to improve data quality

A method to analyze data

A technique to visualize data

A way to store data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of identifying and removing duplicate entries?

To ensure each observation appears once

To increase data size

To enhance data visualization

To improve data storage

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the methods for handling missing values?

Imputation and deletion

Visualization and analysis

Storage and retrieval

Cleaning and formatting

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of correcting typographical errors?

To ensure consistency in data entries

To increase data size

To enhance data visualization

To improve data storage

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does data normalization involve?

Standardizing data formats

Increasing data size

Visualizing data

Storing data efficiently

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of data transformation?

To make data suitable for statistical analysis

To increase data size

To enhance data visualization

To improve data storage

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the method for detecting outliers?

Visual analysis using boxplots

Increasing data size

Storing data efficiently

Cleaning and formatting

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