Untitled Presentation

Multiple Choice

Which of the following is a popular Python library used for data visualization?

• NumPy

• Matplotlib

• Pandas

• SciPy

Open Ended

Why is data visualization important in understanding complex datasets?

Multiple Choice

Which of the following activities is included in Weeks 1-4 of the course structure?

• Final Data Analysis Project

• Real-world case studies

• Self-learning tasks on Satr Platform

• Project presentation

Multiple Select

Which of the following are benefits of data visualization as described in the lesson?

• Spotting outliers

• Improving code efficiency

• Supporting decision-making

• Increasing data storage

Open Ended

Explain how the use of Matplotlib can support decision-making in data analysis.

Fill in the Blanks

To display a plot in a Python script using Matplotlib, you should use the function

.

Multiple Choice

What does the function np.exp(x_data) compute in the context of the simple starter plot?

• Linear growth

• Exponential growth

• Logarithmic growth

• Random values

Multiple Choice

Which function in Matplotlib is used to add a title to a plot?

• plt.xlabel()

• plt.ylabel()

• plt.title()

• plt.legend()

Multiple Select

Which of the following can x_data and y_data be in Matplotlib plots?

• Python lists

• NumPy arrays

• Pandas Series/DataFrame columns

• Tuples

Fill in the Blanks

The part of a Matplotlib figure that displays the actual graph is called the

.

Open Ended

Explain the difference between the 'figure' and 'axes' in a Matplotlib plot.

Open Ended

Describe a scenario where using multiple subplots in a single figure would be beneficial. What advantages does this approach offer?

Multiple Choice

What is the purpose of using plt.tight_layout() when working with subplots in Matplotlib?

• To add a legend to each subplot

• To fix overlapping labels and improve spacing

• To change the color of the plots

• To add grid lines to the plots

Multiple Choice

Which argument in plt.plot() is used to specify the color of the plotted line?

• x_data

• y_data

• color

• style

Open Ended

Explain the difference between solid, dashed, and dotted line styles in matplotlib. Provide an example of when you might use each.

Fill in the Blanks

Fill in the blank: The marker symbol for a star in matplotlib is

Multiple Select

Which of the following are valid line markers in matplotlib?

• 'o' for circle marker

• 'v' for triangle_down marker

• 'x' for x marker

• 'p' for pentagon marker

Multiple Choice

Based on the code shown, which line will appear with the thickest width in the plot?

• plt.plot(x, y1, color='red', ls='solid', marker='+', lw=3, markersize=3)

• plt.plot(x, y2, color='b', ls='dotted', marker='D', lw=4, markersize=4)

• plt.plot(x, y2*2, color='#00FF00', ls='dashed', marker='*', lw=5, markersize=5)

• plt.plot(x, y2*3, color='0.8', ls=':', marker='s', lw=6, markersize=6)

Open Ended

How do line styles and markers help in distinguishing multiple data series in a matplotlib plot?

Open Ended

Would you like to learn more about any specific aspect of data visualization with Matplotlib? If yes, which one?

Open Ended

What is one key concept you learned about data visualization with Matplotlib in today's session?