Data-Science-11
Authored by Bhupalam Priya
Engineering
University
Used 1+ times
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12 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does np.nan stand for?
Not a Null
Not a Number
Null Array
Not Available
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library provides np.nan?
pandas
matplotlib
numpy
sklearn
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of handling missing values?
To improve prediction accuracy
To speed up the model
To remove all columns
To avoid using pandas
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method drops all rows with missing data?
fillna()
isnull()
replace()
dropna()
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What function replaces missing values with a specific value?
fillna()
isnull()
drop()
cut()
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method returns the most frequent value in a column?
df.count()
df.mode()
df.median()
df.mean()
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens if you use dropna() on a DataFrame?
It fills missing values
It merges columns
It duplicates data
It deletes rows with any missing value
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