Crowdly

Introducing errors into the dataset

Ignoring inconsistencies

Identifying unusual patterns or data points

__________________is the process of reviewing data and arriving at relevant conclusions using various analytical research methods.

Data Interpretation

Data Mining

Data Analysis

Data Exploration

In data cleaning, what is the significance of handling redundant information?

To create missing values

To reduce unnecessary duplication

To introduce outliers

To add noise to the dataset

What does the term "Big Data" refer to?

Any dataset with more than 1,000 rows

Data that is too large and complex to be processed by traditional methods

A large dataset that fits in a standard database

Data that is easy to analyze and interpret

Z- Score is also called a ________.

feature score

Distribution score

normalized score

standard score

Which visualization technique is commonly used to identify outliers ?

Bar chart

Histogram

Scatter plot

Box-plot

Which Python library is commonly used for data cleaning tasks?

Scikit-learn

Pandas

TensorFlow

Matplotlib

Which of the following is the condition for outlier?

Any value below Q1-1.5*IQR or above Q3+1.5*IQR

Any value below Q1+1.5*IQR or above Q3-1.5*IQR

Any value below Q1+1.5*IQR or above Q3+0.5*IQR

Any value below Q1-0.5*IQR or above Q3-1.5*IQR

What is the Q3 in IQR method?

Q3 is the value below which 25 percent of the distribution lies.

Q3 is the value below which 75 percent of the distribution lies.

100%

Q3 is the value above which 25 percent of the distribution lies.

Q3 is the value above which 75 percent of the distribution lies.