FacetGrid for multi-panel views in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the seaborn library as sns.

Data Analysis Python

import [1] as sns

Drag options to blanks, or click blank then click option'

Aseaborn

Bmatplotlib

Cpandas

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing matplotlib or pandas instead of seaborn.

Forgetting the 'as sns' alias.

Seaborn is imported as sns to use its plotting functions like FacetGrid.

2fill in blank

medium

Complete the code to create a FacetGrid object using the 'tips' dataset, grouping by 'time'.

Data Analysis Python

g = sns.FacetGrid(tips, col=[1])

Drag options to blanks, or click blank then click option'

A'time'

B'sex'

C'smoker'

D'day'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'day' or other columns instead of 'time'.

Forgetting to put quotes around the column name.

The col parameter defines the column variable to create separate panels. Here, it's 'time' (Lunch or Dinner).

3fill in blank

hard

Fix the error in the code to map a scatter plot of 'total_bill' vs 'tip' on the FacetGrid.

Data Analysis Python

g.map(plt.scatter, [1], 'tip')

Drag options to blanks, or click blank then click option'

Atotal_bill

B'total_bill'

C'day'

D'size'

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the variable name without quotes causing a NameError.

Using wrong column names.

The variable names must be strings when passed to map. So 'total_bill' should be in quotes.

4fill in blank

hard

Fill both blanks to create a FacetGrid grouped by 'sex' and map a histogram of 'total_bill'.

Data Analysis Python

g = sns.FacetGrid(tips, col=[1])
g.map(plt.hist, [2])

Drag options to blanks, or click blank then click option'

A'sex'

B'total_bill'

C'tip'

D'day'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong column names or missing quotes.

Mixing up the order of blanks.

The FacetGrid is grouped by 'sex' (male/female), and the histogram is plotted for 'total_bill'. Both must be strings.

5fill in blank

hard

Fill all three blanks to create a FacetGrid grouped by 'smoker' and 'day', map a scatter plot of 'total_bill' vs 'tip', and add a title.

Data Analysis Python

g = sns.FacetGrid(tips, row=[1], col=[2])
g.map(plt.scatter, [3], 'tip')
g.fig.suptitle('Total Bill vs Tip by Smoker and Day')
g.fig.tight_layout()

Drag options to blanks, or click blank then click option'

A'smoker'

B'total_bill'

C'day'

D'tip'

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping row and col variables.

Passing variable names without quotes.

Using wrong variables for scatter plot axes.

The FacetGrid is created with rows by 'smoker' and columns by 'day'. The scatter plot maps 'total_bill' on x and 'tip' on y. The title is added to the figure.

Practice

1. What is the main purpose of using FacetGrid in data visualization?

easy

A. To perform statistical tests on data

B. To create a single plot with multiple lines

C. To split data into multiple panels for easier comparison

D. To clean and preprocess data before plotting

Solution

1. Step 1: Understand FacetGrid functionality

   FacetGrid is designed to split data into multiple smaller plots based on categories.

2. Step 2: Identify the main use case

   This splitting helps compare subsets of data side by side visually.

3. Final Answer:

   To split data into multiple panels for easier comparison -> Option C

4. Quick Check:

   FacetGrid = multi-panel comparison [OK]

Hint: FacetGrid = split data into panels for comparison [OK]

Common Mistakes:

• Thinking FacetGrid creates a single combined plot
• Confusing FacetGrid with data cleaning tools
• Assuming FacetGrid performs statistical analysis

2. Which of the following is the correct way to create a FacetGrid with columns based on the 'species' column in a DataFrame df using seaborn?

easy

A. sns.FacetGrid(df, split='species')

B. sns.FacetGrid(df, row='species')

C. sns.FacetGrid(df, group='species')

D. sns.FacetGrid(df, col='species')

Solution

1. Step 1: Recall FacetGrid parameters

   The parameter to split data into columns is col.

2. Step 2: Match parameter with 'species'

   Using col='species' splits the grid into columns by species.

3. Final Answer:

   sns.FacetGrid(df, col='species') -> Option D

4. Quick Check:

   Use col= for columns in FacetGrid [OK]

Hint: Use col='column_name' to split by columns [OK]

Common Mistakes:

• Using 'group' or 'split' which are invalid parameters
• Confusing row and col parameters
• Missing quotes around column name

3. Given the following code, what will be the output type of g?

import seaborn as sns
import pandas as pd

df = pd.DataFrame({
    'category': ['A', 'A', 'B', 'B'],
    'value': [10, 15, 10, 20]
})
g = sns.FacetGrid(df, col='category')

medium

A. A FacetGrid object with two column panels for categories A and B

B. A DataFrame filtered by category

C. A matplotlib Figure object

D. A dictionary of plots keyed by category

Solution

1. Step 1: Understand FacetGrid return type

   Creating a FacetGrid returns a FacetGrid object that manages multiple plot panels.

2. Step 2: Check the col parameter effect

   Using col='category' splits the grid into columns for each unique category value, here 'A' and 'B'.

3. Final Answer:

   A FacetGrid object with two column panels for categories A and B -> Option A

4. Quick Check:

   FacetGrid object = multi-panel grid [OK]

Hint: FacetGrid returns a grid object, not data or dict [OK]

Common Mistakes:

• Expecting a DataFrame instead of a FacetGrid
• Thinking it returns a matplotlib Figure directly
• Assuming it returns a dictionary of plots

4. What is wrong with this code snippet?

import seaborn as sns
import pandas as pd

df = pd.DataFrame({
    'type': ['X', 'Y', 'X', 'Y'],
    'score': [5, 7, 6, 8]
})
g = sns.FacetGrid(df, col=type)
g.map(sns.histplot, 'score')

medium

A. DataFrame is missing required columns

B. The variable 'type' is not defined; it should be a string 'type'

C. sns.histplot cannot be used with FacetGrid

D. FacetGrid cannot use 'col' parameter

Solution

1. Step 1: Check parameter usage in FacetGrid

   The col parameter expects a string with the column name, not a variable.

2. Step 2: Identify the error in code

   Using col=type without quotes causes a NameError because 'type' is not defined as a variable.

3. Final Answer:

   The variable 'type' is not defined; it should be a string 'type' -> Option B

4. Quick Check:

   Use quotes for column names in FacetGrid [OK]

Hint: Always quote column names in FacetGrid parameters [OK]

Common Mistakes:

• Using variable names without quotes for column names
• Thinking FacetGrid can't use histplot
• Assuming DataFrame columns are missing

5. You want to create a multi-panel plot showing the distribution of 'total_bill' by 'day' and 'time' from the seaborn 'tips' dataset. Which code correctly creates a FacetGrid with rows for 'time' and columns for 'day' and plots histograms of 'total_bill'?

hard

A. g = sns.FacetGrid(tips, row='time', col='day')
g.map(sns.histplot, 'total_bill')

B. g = sns.FacetGrid(tips, col='time', row='day')
g.map(sns.histplot, 'total_bill')

C. g = sns.FacetGrid(tips, group='time', split='day')
g.map(sns.histplot, 'total_bill')

D. g = sns.FacetGrid(tips, row='total_bill', col='day')
g.map(sns.histplot, 'time')

Solution

1. Step 1: Identify correct row and column parameters

   Rows should be split by 'time' and columns by 'day' as per requirement.

2. Step 2: Confirm correct mapping of histogram

   Use g.map(sns.histplot, 'total_bill') to plot histograms of 'total_bill'.

3. Step 3: Check for invalid parameters

   Options with 'group' or swapped row/col are incorrect.

4. Final Answer:

   g = sns.FacetGrid(tips, row='time', col='day') g.map(sns.histplot, 'total_bill') -> Option A

5. Quick Check:

   row='time', col='day', map histplot on 'total_bill' [OK]

Hint: Use row= for rows, col= for columns, map plot on target column [OK]

Common Mistakes:

• Swapping row and col parameters
• Using invalid parameters like group or split
• Mapping plot on wrong column