Intro to Data Science · Working with Data · Lesson 2 of 12

Exploring a DataFrame

Concept

Exploring a DataFrame

The shape, columns, and describe() attributes quickly summarize a dataset's size, fields, and basic statistics.

By the end of this lesson

Explain the core idea behind Exploring a DataFrame.
Predict output before running a change.
Test one realistic and one unusual input.
Use the result to make the next decision.

How to study this page

1. Read one concept.
2. Change the example.
3. Run, compare, and explain.
4. Complete the challenge below.

ExampleRunnable

print(df.shape)
print(df.columns)
print(df.describe())

Try it Yourself »

Self-check before continuing

Without looking at the example, describe what changes when you modify one input in Exploring a DataFrame. Then reopen the editor and prove your explanation with a small test.

You are ready to continue when you can predict, test, and explain the result.

Your turn

List three questions you could answer using df.describe().

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Console

Output will appear here...