Bar charts in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the library needed to create bar charts.

Data Analysis Python

import [1] as plt

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Aseaborn

Bnumpy

Cpandas

Dmatplotlib.pyplot

Attempts:

3 left

💡 Hint

Common Mistakes

Importing pandas or numpy instead of matplotlib.pyplot.

Using seaborn without importing matplotlib.pyplot.

We use matplotlib.pyplot to create bar charts in Python.

2fill in blank

medium

Complete the code to create a simple bar chart from the data.

Data Analysis Python

plt.bar([1], [5, 7, 3])
plt.show()

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A["X", "Y", "Z"]

B[1, 2, 3]

C["A", "B", "C"]

D[10, 20, 30]

Attempts:

3 left

💡 Hint

Common Mistakes

Using numbers as x-axis labels without meaning.

Using a list of values that does not match the bar heights.

The x-axis labels should be categorical names like ["A", "B", "C"] to match the bar heights.

3fill in blank

hard

Fix the error in the code to correctly label the bars.

Data Analysis Python

labels = ["Red", "Blue", "Green"]
values = [10, 15, 7]
plt.bar(range(len(values)), values)
plt.xticks([1], labels)
plt.show()

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Arange(len(values))

Bvalues

Clabels

D[0, 1, 2]

Attempts:

3 left

💡 Hint

Common Mistakes

Passing labels instead of positions to plt.xticks.

Passing values instead of positions to plt.xticks.

The plt.xticks() function needs the positions of the bars, which is range(len(values)).

4fill in blank

hard

Fill both blanks to create a bar chart with custom colors and title.

Data Analysis Python

colors = [[1]]
plt.bar(["A", "B", "C"], [3, 6, 9], color=[2])
plt.title("[3]")
plt.show()

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A["red", "green", "blue"]

B[3, 6, 9]

C["cyan", "magenta", "yellow"]

DBar Chart

Attempts:

3 left

💡 Hint

Common Mistakes

Using numbers instead of color names for colors.

Not adding a title or using a wrong type for title.

We use a list of color names for the color argument and add a title string.

5fill in blank

hard

Fill all three blanks to create a horizontal bar chart with labels and values.

Data Analysis Python

labels = ["Apple", "Banana", "Cherry"]
values = [10, 5, 8]
plt.barh([1], [2], color="orange")
plt.xlabel("[3]")
plt.show()

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Alabels

Bvalues

CQuantity

Dcolors

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping labels and values in the barh function.

Not labeling the x-axis properly.

For horizontal bars, labels go on the y-axis and values on the x-axis. The xlabel describes the values.