Data Visualization CT-4

Sentiment Analysis is an example of:

Regression

1. Classification

2. Clustering

3. Reinforcement

4. Learning

• 2. 1 only

• 2. 1 and 2

• 2. 1 and 3

• 1,2 and 4

Can decision trees be used for performing clustering?

• True

• False

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

• 1 only
  

• 2 only
  

• 1 and 2

• None of the above

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?

• There were 28 data points in the clustering analysis

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

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

• The proximity function used is Average-link clustering

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.

• 1 only

• 1 , 2 and 3

• 1,2 and 4

• All of the above

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

• Scatter plot matrix

• Treemap

• Bubble chart

• Heatmap

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

• Scatter plot matrix

• Treemap

• Bubble chart

• Heatmap

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

• Using data to enhance the narrative   

• Telling stories without data   

• Adding chartjunk 

• Ignoring data visualization   

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

• Adds decorative elements

• Provides additional information

• Represents the main data

• Explains the legend

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

• Consolidating multiple visuals

• Adding decorative elements

• Making charts more complex

• Slowing down data analysis