Why Pandas for data analysis - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the pandas library with the common alias.

Pandas

import [1] as pd

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Apandas

Bseaborn

Cmatplotlib

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing numpy instead of pandas

Using a wrong alias like 'np' for pandas

We use import pandas as pd to import pandas with the alias pd. This is the standard way to use pandas in Python.

2fill in blank

medium

Complete the code to create a DataFrame from a dictionary.

Pandas

data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}
df = pd.[1](data)

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ADataFrame

BSeries

Carray

Dlist

Attempts:

3 left

💡 Hint

Common Mistakes

Using Series instead of DataFrame

Trying to create a list or array instead

Use pd.DataFrame() to create a DataFrame from a dictionary. This structure is like a table with rows and columns.

3fill in blank

hard

Fix the error in the code to display the first 3 rows of the DataFrame.

Pandas

df.[1](3)

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Ashow

Bprint

Ctail

Dhead

Attempts:

3 left

💡 Hint

Common Mistakes

Using tail() instead of head()

Trying to use print() as a method on DataFrame

The head() method shows the first rows of a DataFrame. Here, df.head(3) shows the first 3 rows.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths only if length is greater than 3.

Pandas

{word: [1] for word in words if [2] > 3}

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Alen(word)

Bword

Clen(words)

Dword.length

Attempts:

3 left

💡 Hint

Common Mistakes

Using length of the whole list instead of each word

Using an attribute 'length' which does not exist for strings

We use len(word) to get the length of each word. The condition checks if the length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary from data items where values are positive.

Pandas

result = [1]: [2] for [1] , [2] in data.items() if [2] [3] 0}

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Ak

Bv

C>

Dk.upper()

Attempts:

3 left

💡 Hint

Common Mistakes

Using the same variable name for key and value

Using a wrong comparison operator

We use k and v as variable names for keys and values. The condition v > 0 filters positive values.