Batch -1 | 27-11-24 | Day -3 Data Analytics Workshop quiz -3

1. What is the primary goal of data visualization?

• a) To increase the size of the dataset

• b) To store data efficiently

• c) To represent data graphically for better understanding

• d) To convert data into text format

2. Which Python library is commonly used for data visualization?

• a) pandas

• b) numpy

• c) matplotlib

• d) sklearn

3. Which type of plot is most suitable for showing trends over time?

• a) Histogram

• b) Line plot

• c) Pie chart

• d) Scatter plot

4. In Matplotlib, which function is used to create a line plot?

• a) plt.bar()

• b) plt.line()

• c) plt.plot()

• d) plt.scatter()

5. What is a histogram used for?

• a) To compare categorical data

• b) To visualize data distributions

• c) To show relationships between variables

• d) To display proportions

6. In Matplotlib, which function is used to create a bar plot?

• a) plt.bar()

• b) plt.plot()

• c) plt.hist()

• d) plt.scatter()

7. What does the legend() function do in Matplotlib?

• a) Adds a legend explaining the plot elements

• b) Sets the color scheme of the plot

• c) Draws a horizontal line at the plot's center

• d) Creates a histogram

8. What type of plot is best for visualizing the frequency of data within intervals?

• a) Line plot

• b) Scatter plot

• c) Histogram

• d) Bar chart

9. How do you display a plot in Matplotlib?

• a) plt.show()

• b) plt.display()

• c) plt.print()

• d) plt.open()

10. Why is identifying trends and patterns important in data analysis?

• a) It helps in understanding relationships and making predictions.

• b) It eliminates the need for visualizations.

• c) It focuses only on raw numerical data.

• d) It avoids the need for statistical analysis.