Histogram plots in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to plot a histogram of the 'age' column from the DataFrame df.

Pandas

df['age'].[1](bins=10)

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Ahist

Bbar

Cscatter

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'plot' instead of 'hist' which creates a line plot by default.

Using 'scatter' which is for scatter plots, not histograms.

The hist method creates a histogram plot of the data.

2fill in blank

medium

Complete the code to plot a histogram with 20 bins for the 'salary' column in DataFrame df.

Pandas

df['salary'].hist([1]=20)

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Arange

Bwidth

Cbins

Dheight

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'range' which defines the interval but not the number of bins.

Using 'width' or 'height' which are not parameters for histograms.

The bins parameter controls the number of bins in the histogram.

3fill in blank

hard

Fix the error in the code to plot a histogram of 'height' with 15 bins.

Pandas

df['height'].hist(bins=[1])

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A15

B'15'

Crange(15)

DNone

Attempts:

3 left

💡 Hint

Common Mistakes

Passing '15' as a string instead of integer 15.

Passing a range object which is not accepted.

The bins parameter expects an integer, not a string or range.

4fill in blank

hard

Fill both blanks to create a histogram of 'weight' with 12 bins and a blue color.

Pandas

df['weight'].hist(bins=[1], color=[2])

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A12

B'red'

C'blue'

D10

Attempts:

3 left

💡 Hint

Common Mistakes

Using color without quotes.

Using a string for bins instead of a number.

Use bins=12 for 12 bins and color='blue' to set the bar color.

5fill in blank

hard

Fill all three blanks to create a histogram of 'score' with 8 bins, green color, and transparency set to 0.5.

Pandas

df['score'].hist(bins=[1], color=[2], alpha=[3])

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A10

B'green'

C0.5

D8

Attempts:

3 left

💡 Hint

Common Mistakes

Using alpha as a string instead of a number.

Using wrong number of bins.

Set bins=8, color='green', and alpha=0.5 for transparency.