Data Mining & Python for Marketing Analytics

Data Mining & Python for Marketing Analytics

University

8 Qs

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Data Mining & Python for Marketing Analytics

Data Mining & Python for Marketing Analytics

Assessment

Quiz

Other

University

Practice Problem

Medium

Created by

shradha choudhary

Used 4+ times

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8 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the main goal of data mining in marketing analytics?

Forecast stock prices

Improve UI design

Extract patterns from data to make better marketing decisions

Compress files

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which of these is an example of unstructured data?

Sales spreadsheet

Customer age list

Product reviews

Revenue chart

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

How would you manually extract product reviews from a website?

Use pandas

Write SQL queries

Copy and paste text from the website

Use matplotlib

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the first step in cleaning text data for analysis?

Draw a plot

Remove punctuation and special characters

Convert to CSV

Send it to Excel

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What does this Python function do?

df['Ratings'] = df['rating'].apply(lambda x: float(x.split()[0]))

Tokenizes review text

Extracts rating score from a string

Removes null values

Creates a pivot table

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which Python library is commonly used for text preprocessing?

pandas

matplotlib

NLTK

seaborn

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the output of

df.groupby('Ram')['Ratings'].mean()?

List of products by color

Average rating for each RAM size

Total number of reviews

Maximum rating

8.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Why is extracting product variants from the product name useful?

It helps identify the file format

It shows sales trends by variant

It hides the product model

It's required by matplotlib