Unit:III Data Visualization in Python: Key Questions on Bar Charts, Line Plots

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Sample question from UNIT I, Unit II and Unit III

Unit III

What is data visualization, and why is it important in data analysis?

Explain how you would create a basic bar chart using Python. Which libraries are typically used for this, and what are the essential steps?

How does a line plot differ from an area plot, and when would you use each visualization type in Python?

Describe the process of creating a histogram in Python. What is the purpose of a histogram, and what type of data is it best suited for?

What is the purpose of a pie chart, and how would you create one using Python? Are there any scenarios where pie charts might not be appropriate?

What is a box plot, and how does it help in identifying the distribution of data? Explain how you can create a box plot using Python.

What is the difference between a scatter plot and a line plot in Python? In which scenarios would you prefer to use a scatter plot over a line plot?

Explain what a time series plot is and how it can be useful in data analysis. How would you create a time series plot in Python using the Matplotlib ?

How would you combine multiple visualizations into a single figure using Python? Explain the use of subplots and the advantages of organizing visualizations this way.

Explain how you can use Pandas to plot functions directly. What are the advantages of using Pandas’ built-in plotting capabilities for quick visualizations?

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