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Data Visualization CT-4

Total questions: 20

Worksheet time: 40mins

Name
Class
Date
1.

Sentiment Analysis is an example of:

Regression

  1. Classification

  2. Clustering

  3. Reinforcement

  4. Learning

a)
  1. 1 only

b)
  1. 1 and 2

c)
  1. 1 and 3

d)

1,2 and 4

2.

Can decision trees be used for performing clustering?

a)

True

b)

False

3.

Which of the following is the most appropriate strategy for data cleaning before performing clustering analysis, given less than the desirable number of data points?

  1. Capping and flouring of variables

  2. Removal of outliers

a)

1 only

b)

2 only

c)

1 and 2

d)

None of the above

4.

After performing K-Means Clustering analysis on a dataset, you observed the following dendrogram. Which of the following conclusion can be drawn from the dendrogram?

a)

There were 28 data points in the clustering analysis

b)

The best no. of clusters for the analyzed data points is 4

c)

The above dendrogram interpretation is not possible for K-Means clustering

d)

The proximity function used is Average-link clustering

5.

How can Clustering (Unsupervised Learning) be used to improve the accuracy of the Linear Regression model (Supervised Learning)?

  1. Creating different models for different cluster groups.

  2. Creating an input feature for cluster ids as an ordinal variable.

  3. Creating an input feature for cluster centroids as a continuous variable.

  4. Creating an input feature for cluster size as a continuous variable.

a)

1 only

b)

1 , 2 and 3

c)

1,2 and 4

d)

All of the above

6.

Which type of data visualization is used to display the relationship between three variables in a 3D space?


a)

Scatter plot matrix

b)

Treemap

c)

Bubble chart

d)

Heatmap

7.

Which type of chart is commonly used to represent hierarchical data with rectangular blocks?


a)

Scatter plot matrix

b)

Treemap

c)

Bubble chart

d)

Heatmap

8.

What does the term "data-driven storytelling" mean in the context of data visualization and reporting?


a)

Using data to enhance the narrative   

b)

Telling stories without data   

c)

Adding chartjunk 

d)

Ignoring data visualization   

9.

What is the primary purpose of a "tooltip" in an interactive data visualization?


a)

Adds decorative elements

b)

Provides additional information

c)

Represents the main data

d)

Explains the legend

10.

What is the primary benefit of using "dashboards" in data reporting?


a)

Consolidating multiple visuals

b)

Adding decorative elements

c)

Making charts more complex

d)

Slowing down data analysis

11.

Which data visualization type is often used to display hierarchical data as a radial diagram with concentric circles?


a)

Scatter plot

b)

Sunburst chart

c)

Line chart

d)

Bubble chart

12.

In a data visualization, what does "color saturation" refer to?


a)

The intensity or vividness of color

b)

The use of color in charts

c)

The title of a chart

d)

The number of data points

13.

What is the primary benefit of using "interactive tooltips" in data visualizations?


a)

Add decorative elements

b)

Provide additional information

c)

Represent the main data

d)

Explain the legend

14.

What is the primary purpose of data visualization in data science?


a)

Summarizing data

b)

Communicating insights

c)
d)

Storing data

15.

Which color scheme is often used for sequential data in data visualizations to represent a progression from low to high values?


a)

Viridis

b)

Rainbow

c)

Red-Blue

d)

Random

16.

What is the primary advantage of using interactive data visualizations?

a)

Reduces data complexity

b)

Increases data accuracy

c)

Slows down data analysis

d)

Enhances engagement   

17.

Which type of data visualization is used to show the distribution of a dataset with a box and whisker plot?

a)

Pie chart

b)

Box plot

c)

Bar chart

d)

Scatter plot

18.

Which data visualization type is suitable for comparing the distribution of a single continuous variable across different categories?

a)

Bar chart

b)

Scatter plot

c)

Box plot

d)

Line chart

19.

In data visualization, what does "geospatial data" refer to?

a)
b)

Time series data

c)

Data related to geographic locations

d)

Categorical data

20.

What does "external representation" mean in the context of data visualization?


a)

The process of converting raw data into visual forms.

b)

The act of displaying data only on external monitors or projectors.

c)

The use of graphical elements to present data outside the human mind.

d)

The method of sharing data with external stakeholders.C