Intro to Data Science · Visualization · Lesson 6 of 12
Bar Charts and Histograms
Concept
Bar Charts and Histograms
Bar charts compare categories, while histograms show the distribution of a single numeric column.
By the end of this lesson
- Explain the core idea behind Bar Charts and Histograms.
- 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
df["category"].value_counts().plot(kind="bar")
df["age"].plot(kind="hist")Self-check before continuing
Without looking at the example, describe what changes when you modify one input in Bar Charts and Histograms. 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
Explain when you would choose a histogram over a bar chart.
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