One-hot encoding in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the pandas library.

Data Analysis Python

import [1] as pd

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Anumpy

Bseaborn

Cmatplotlib

Dpandas

Attempts:

3 left

💡 Hint

Common Mistakes

Importing numpy instead of pandas

Forgetting to use 'as pd'

We use import pandas as pd to work with dataframes easily.

2fill in blank

medium

Complete the code to create a DataFrame from a dictionary.

Data Analysis Python

df = pd.DataFrame({'color': ['red', 'blue', 'green']})
print(df.[1]())

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Ahead

Btail

Cinfo

Ddescribe

Attempts:

3 left

💡 Hint

Common Mistakes

Using tail() to see the first rows

Using info() which shows summary info

head() shows the first rows of the DataFrame.

3fill in blank

hard

Fix the error in the code to apply one-hot encoding using pandas.

Data Analysis Python

one_hot = pd.get_dummies(df['color'], [1]=True)
print(one_hot)

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Aremove

Bdrop

Cdrop_first

Dexclude

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect parameter names like 'drop' or 'remove'

Not using any parameter and causing redundant columns

drop_first=True avoids dummy variable trap by dropping the first category.

4fill in blank

hard

Fill both blanks to create a one-hot encoded DataFrame and join it with the original.

Data Analysis Python

one_hot = pd.get_dummies(df['color'], [1]=False)
df_new = df.[2](one_hot, axis=1)
print(df_new)

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Adrop_first

Bconcat

Cappend

Dmerge

Attempts:

3 left

💡 Hint

Common Mistakes

Using append which adds rows, not columns

Using merge which requires keys

Use drop_first=False to keep all dummies, then concat to join columns.

5fill in blank

hard

Fill all three blanks to create a one-hot encoded DataFrame, drop the original column, and display the result.

Data Analysis Python

one_hot = pd.get_dummies(df['color'], [1]=True)
df = df.[2]('color', axis=[3])
df_final = pd.concat([df, one_hot], axis=1)
print(df_final)

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Adrop_first

Bdrop

C1

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using axis=0 which drops rows instead of columns

Not dropping the original column before concatenation

We drop the first dummy column, remove the original 'color' column with drop along columns (axis=1), then join the dummies.