Reading CSV with options (sep, header, encoding) in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to read a CSV file named 'data.csv' using pandas.

Data Analysis Python

import pandas as pd

df = pd.read_csv('data.csv', [1])

Drag options to blanks, or click blank then click option'

Aseparator=';'

Bdelimiter=','

Csep=','

Dsplit=','

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'delimiter' instead of 'sep' which is not recognized by pandas.read_csv.

Using 'split' which is not a parameter for read_csv.

The sep parameter specifies the delimiter used in the CSV file. The correct parameter name is sep.

2fill in blank

medium

Complete the code to read a CSV file without a header row.

Data Analysis Python

import pandas as pd

df = pd.read_csv('data.csv', header=[1])

Drag options to blanks, or click blank then click option'

ANone

B-1

C0

DFalse

Attempts:

3 left

💡 Hint

Common Mistakes

Using 0 which means the first row is the header.

Using False which is not accepted for header parameter.

Setting header=None tells pandas that the CSV file has no header row, so it will assign default column names.

3fill in blank

hard

Fix the error in the code to read a CSV file with UTF-8 encoding.

Data Analysis Python

import pandas as pd

df = pd.read_csv('data.csv', encoding=[1])

Drag options to blanks, or click blank then click option'

A'utf8'

B'utf-8'

C'utf_8'

D'UTF8'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'utf8' without hyphen which may cause encoding errors.

Using uppercase or underscore variants which are not standard.

The correct encoding string for UTF-8 in pandas is 'utf-8' with a hyphen.

4fill in blank

hard

Fill both blanks to read a CSV file with semicolon separator and no header.

Data Analysis Python

import pandas as pd

df = pd.read_csv('data.csv', sep=[1], header=[2])

Drag options to blanks, or click blank then click option'

A';'

BNone

C0

D','

Attempts:

3 left

💡 Hint

Common Mistakes

Using comma as separator when the file uses semicolon.

Using 0 for header which assumes first row is header.

Use sep=';' to specify semicolon separator and header=None to indicate no header row.

5fill in blank

hard

Fill all three blanks to read a CSV file with tab separator, no header, and UTF-8 encoding.

Data Analysis Python

import pandas as pd

df = pd.read_csv('data.csv', sep=[1], header=[2], encoding=[3])

Drag options to blanks, or click blank then click option'

A'\t'

BNone

C'utf-8'

D','

Attempts:

3 left

💡 Hint

Common Mistakes

Using comma instead of tab as separator.

Using 0 instead of None for header.

Using incorrect encoding strings like 'utf8' or 'UTF8'.

Use sep='\t' for tab separator, header=None for no header, and encoding='utf-8' for UTF-8 encoding.