FacetGrid for multi-panel views in Data Analysis Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a FacetGrid in data visualization?

A FacetGrid is a way to create multiple plots (panels) based on subsets of data. It helps compare patterns across different groups side by side.

beginner

How do you specify which variable to use for creating rows in a FacetGrid?

You use the row parameter when creating the FacetGrid. For example, FacetGrid(data, row='variable_name').

beginner

Which Python library provides the FacetGrid class?

The FacetGrid class is provided by the <strong>seaborn</strong> library, which is built on top of matplotlib for easier statistical plotting.

intermediate

What method do you use to map a plot type onto a FacetGrid?

You use the map() method of the FacetGrid object to specify the plot type and the variables to plot.

beginner

Why use FacetGrid instead of plotting all data in one plot?

FacetGrid helps by splitting data into smaller groups and plotting each group separately. This makes it easier to see differences and patterns that might be hidden in one combined plot.

Which library do you import to use FacetGrid?

A matplotlib.pyplot

B pandas

C numpy

D seaborn

FacetGrid is part of the seaborn library, which is designed for statistical data visualization.

What parameter controls the columns in a FacetGrid?

A col

B style

C hue

D row

The col parameter sets which variable divides the data into columns in the grid.

How do you add a scatter plot to a FacetGrid?

A Use <code>map(sns.scatterplot, 'x', 'y')</code>

B Use <code>plot.scatter('x', 'y')</code>

C Use <code>scatter('x', 'y')</code>

D Use <code>mapplot('x', 'y')</code>

You use the map() method with seaborn's scatterplot function to add scatter plots to each facet.

What does the hue parameter do in FacetGrid?

A Creates separate columns

B Colors points by a variable within each panel

C Creates separate rows

D Changes the plot type

The hue parameter colors data points differently based on a variable, within each panel.

Which method finalizes the FacetGrid plot display?

A plot()

B draw()

C show()

D None needed, it displays automatically

After mapping plots, you call plt.show() from matplotlib to display the figure.

Explain how to create a FacetGrid with two variables dividing rows and columns, and add scatter plots to each panel.

Think about how to split data by two variables and plot points in each small plot.

Describe why FacetGrid is useful for comparing data groups visually.

Imagine looking at many small windows instead of one big messy window.