Why visualization communicates findings in Data Analysis Python - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the library used for creating visualizations.

Data Analysis Python

import [1] as plt

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Aseaborn

Bmatplotlib.pyplot

Cpandas

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the wrong library like numpy or pandas for plotting.

Not using the correct alias 'plt'.

The matplotlib.pyplot module is commonly imported as plt for plotting graphs in Python.

2fill in blank

medium

Complete the code to create a simple line plot of the data list.

Data Analysis Python

data = [1, 3, 2, 5]
plt.[1](data)
plt.show()

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Ahist

Bscatter

Cplot

Dbar

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'scatter' which creates a scatter plot, not a line plot.

Using 'hist' which creates a histogram.

The plot function creates a line plot, which is suitable for showing trends in data.

3fill in blank

hard

Fix the error in the code to label the x-axis correctly.

Data Analysis Python

plt.plot([1, 2, 3], [4, 5, 6])
plt.xlabel([1])
plt.show()

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A'x label'

Bx label

Cx_label

Dxlabel

Attempts:

3 left

💡 Hint

Common Mistakes

Not using quotes around the label text.

Using incorrect variable names instead of a string.

The label text must be a string, so it needs to be enclosed in quotes.

4fill in blank

hard

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

Data Analysis Python

plt.bar(['A', 'B', 'C'], [5, 7, 3])
plt.xlabel([1])
plt.title([2])
plt.show()

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A'Categories'

B'Values over Categories'

C'Data Labels'

D'Bar Chart'

Attempts:

3 left

💡 Hint

Common Mistakes

Using labels that do not describe the axis or chart clearly.

Forgetting to put quotes around the labels.

The x-axis label should describe the categories, and the title should summarize the chart's message.

5fill in blank

hard

Fill all three blanks to create a scatter plot with axis labels and a title.

Data Analysis Python

x = [1, 2, 3, 4]
y = [10, 15, 13, 17]
plt.scatter(x, y)
plt.xlabel([1])
plt.ylabel([2])
plt.title([3])
plt.show()

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A'Time (seconds)'

B'Speed (km/h)'

C'Speed over Time'

D'Distance (meters)'

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up x and y labels.

Not using descriptive labels or title.

Forgetting quotes around strings.

The x-axis label describes the independent variable (time), the y-axis label describes the dependent variable (speed), and the title summarizes the plot.