
Cleaning in Python Quiz
Authored by Abdullah Muhammad 201-801-271
Computers
University

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18 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which Python library is most commonly used for data cleaning and manipulation?
NumPy
SciPy
Pandas
Matplotlib
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the function used in Pandas to identify missing values in a DataFrame?
isna()
fillna()
dropna()
replace()
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you remove duplicate rows from a Pandas DataFrame?
DataFrame.drop_duplicates()
DataFrame.dropna()
DataFrame.remove_duplicates()
DataFrame.fillna()
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What method would you use to fill missing values in a DataFrame with the mean of a column?
fillna(mean)
fill(mean)
replace(na,mean)
fillna(DataFrame['column_name'].mean())
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which function in Pandas is used to detect and remove outliers in a dataset?
DataFrame.describe()
DataFrame.dropna()
DataFrame.clip()
There is no direct function; outliers are typically handled using custom methods like IQR or Z-score.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What function can you use in Pandas to rename the columns of a DataFrame?
rename_columns()
rename()
columns_rename()
change_columns()
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you convert all string values in a DataFrame column to lowercase using Pandas?
DataFrame['column_name'].lower()
DataFrame['column_name'].apply(lower)
DataFrame['column_name'].str.lower()
DataFrame['column_name'].convert_lower()
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