Python for Data Analysis: Step-By-Step with Projects - Relationship of Two Features (2)

The video tutorial explores various data visualization techniques using Seaborn. It starts with histograms and the use of the hue parameter to add categorical features. The tutorial then covers line and bar charts, explaining how Seaborn aggregates data using mean values. Advanced plotting techniques using the cat plot function are demonstrated, including box, violin, strip, and swarm plots. Finally, the tutorial shows how to visualize relationships between two categorical features using count plots.

What is the purpose of using the hue parameter in a histogram plot?

• To determine the color of the plot based on a categorical feature

• To adjust the transparency of the plot

• To add a numerical feature

• To change the size of the plot

How does the col parameter differ from the hue parameter in Seaborn?

• Col parameter changes the plot type, while hue changes the color

• Col parameter creates separate plots for each category, while hue overlays them in one plot

• Col parameter adjusts the plot size, while hue changes the plot shape

• Col parameter is used for numerical features, while hue is for categorical features

What does the line chart in Seaborn use by default to summarize data?

• Median

• Range

• Mode

• Mean

Which plot type is more suitable for visualizing the distribution of a numerical feature across categories?

• Line plot

• Bar plot

• Box plot

• Scatter plot

What is a key advantage of using a boxen plot over a box plot?

• It is more colorful

• It provides more detailed information about the distribution shape

• It is faster to compute

• It uses less data

Why might a strip plot be less effective for large datasets?

• It takes too long to render

• It requires more computational power

• It can become cluttered and hard to read

• It does not support categorical data

What is the main difference between a strip plot and a swarm plot?

• Swarm plot spreads out data points to avoid overlap

• Strip plot uses colors to differentiate categories

• Swarm plot is used for numerical data only

• Strip plot is faster to render

What does a violin plot combine to show data distribution?

• Box plot and kernel density estimate

• Bar plot and line plot

• Pie chart and box plot

• Scatter plot and histogram

How can you visualize two categorical features using Seaborn?

• Using a line plot

• Using a histogram

• Using a scatter plot

• Using a count plot with hue or col parameters

What does the hue parameter do in a count plot?

• Changes the plot type

• Adds a numerical feature

• Adjusts the plot size

• Determines the color of bars based on a second categorical feature