Example Notebook

Formatted Text and Equations

In Markdown cells (like this one), you can write plain text or add formatting and other elements with Markdown. These include headers, bold text, italic text, hyperlinks, equations $A=\pi r^2$, inline code print('Hello world!'), bulleted lists, and more.

You can use headings of various sizes

Slightly smaller

Even smaller!

Here is a bulleted list.

• One item
• Another item
  • A sub-item
• More stuff

Here is a numbered list.

1. Cat
2. Dog
3. Hamster

Code

In Code cells (like the one below) you can execute snippets of code and display the output.

print('Hello world!')

Hello world!

Example: Cars Data

Import the Seaborn library and load the example dataset of miles per gallon and other metrics for various cars:

# Seaborn library for statistical data visualization
import seaborn as sns

# Load dataset from Seaborn
mpg = sns.load_dataset('mpg')

# Display the first 5 rows
mpg.head()

	mpg	cylinders	displacement	horsepower	weight	acceleration	model_year	origin	name
0	18.0	8	307.0	130.0	3504	12.0	70	usa	chevrolet chevelle malibu
1	15.0	8	350.0	165.0	3693	11.5	70	usa	buick skylark 320
2	18.0	8	318.0	150.0	3436	11.0	70	usa	plymouth satellite
3	16.0	8	304.0	150.0	3433	12.0	70	usa	amc rebel sst
4	17.0	8	302.0	140.0	3449	10.5	70	usa	ford torino

Create a bubble plot of miles per gallon vs. horsepower:

sns.relplot(data=mpg, x='horsepower', y='mpg', hue='origin', size='weight', 
            sizes=(40, 400), alpha=0.5, palette="muted", height=5);

Example: Fisher's Iris Data

iris = sns.load_dataset('iris')
iris.head()

	sepal_length	sepal_width	petal_length	petal_width	species
0	5.1	3.5	1.4	0.2	setosa
1	4.9	3.0	1.4	0.2	setosa
2	4.7	3.2	1.3	0.2	setosa
3	4.6	3.1	1.5	0.2	setosa
4	5.0	3.6	1.4	0.2	setosa

Plot pairwise relationships:

sns.pairplot(data=iris, hue='species');

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