Show me the steps to solve $1.$ Visual Analytics Techniques $(5$ points$)$

a$.$ What is visual analytics, and in which scenarios is it most useful?

b$.$ Explain the characteristics of an effective data visualization.

c$.$ Which types of visualizations are best suited for identifying trends in a dataset? Provide examples.

d$.$ Describe the relationship between visualization and data analysis.

e$.$ What are the key steps in the data visualization process in an analytics project?

$2.$ Data Preprocessing and Preparation $(10$ points$)$

a$.$ Why is data cleaning important? Explain.

b$.$ Explain the methods used to convert categorical data into numerical data.

c$.$ How does data normalization contribute to visual analytics processes?

d$.$ In what scenarios is it more effective to group data before visualizing it$?$ Provide examples.

$3.$ Advanced Visual Analysis $(15$ points

a$.$ When are scatter plots preferred? Discuss their advantages and disadvantages.

b$.$ What types of data are heatmaps best suited for? Provide examples.

c$.$ Which visualization methods can be used to identify anomalies in a dataset?

d$.$ What are the advantages of dynamic visualizations $($interactive charts$)$ over static visualizations?

e$.$ Discuss the challenges and solutions in visualizing large datasets.