Exploring Data Visualization

What is the primary purpose of data visualization?

• To create complex algorithms for data processing.

• To ensure data security and privacy compliance.

• To store data in a database for future use.

• To represent data graphically for easier understanding and insight extraction.

Which library is commonly used for creating plots in Python?

• Matplotlib

• Pandas

• NumPy

• Seaborn

How do you create a simple line graph using Matplotlib?

• Use 'plt.graph(x, y)' to display a line graph after importing NumPy.

• Call 'plt.line(x, y)' to generate a line graph without importing any libraries.

• Use 'plt.draw(x, y)' to create a line graph after importing Matplotlib.

• Use 'plt.plot(x, y)' to create a line graph after importing Matplotlib.

What function is used to display a plot in Matplotlib?

• plt.display()

• plt.plot()

• plt.visualize()

• plt.show()

What is the difference between a line graph and a bar chart?

• A line graph shows trends over time, while a bar chart compares different categories.

• A line graph uses bars to show data, while a bar chart uses lines.

• A line graph is used for pie charts, while a bar chart is for scatter plots.

• A line graph displays static data, while a bar chart shows dynamic changes.

How can you customize the color of a line in a Matplotlib graph?

• Use the 'linecolor' parameter in the plot function.

• Use the 'color' parameter in the plot function, e.g., plt.plot(x, y, color='red').

• Change the color by modifying the graph background.

• Set the color using plt.set_color('blue').

What command would you use to create a bar chart in Matplotlib?

• plt.plot(x, height)

• plt.bar(x, height)

• plt.scatter(x, height)

• plt.hist(x, bins)

How do you label the axes in a Matplotlib plot?

• Axes can be labeled with `plt.title('Label')` for both axes.

• Label the axes by calling `label_axes('X', 'Y')`.

• Use `plt.set_xlabel('X-axis')` and `plt.set_ylabel('Y-axis')` to label the axes.

• Use `plt.xlabel('X-axis label')` and `plt.ylabel('Y-axis label')` to label the axes.

What is the significance of the title in a data visualization?

• The title is used to hide the main message of the visualization.

• The title is irrelevant to the data presented.

• The title provides context and clarity, guiding the audience's understanding of the data visualization.

• The title only serves as a decorative element.

How can you save a Matplotlib figure to a file?

• Use plt.save('filename.png') to save a Matplotlib figure.

• Call savefig('filename.png') directly without plt.

• Use plt.savefig('filename.png') to save a Matplotlib figure to a file.

• Use plt.export('filename.png') to save a Matplotlib figure.