Python for Data Analysis: Step-By-Step with Projects - Extracting Date and Time
Interactive Video
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Information Technology (IT), Architecture, Social Studies
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University
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Practice Problem
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary focus of this lesson?
Exploring data storage solutions
Extracting useful information from date and time data
Understanding data visualization techniques
Learning about machine learning algorithms
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library is used to load the Beijing air quality dataset?
NumPy
Pandas
Matplotlib
Scikit-learn
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it necessary to convert the datetime column from object dtype to datetime dtype?
To enhance data security
To reduce memory usage
To improve data visualization
To enable datetime operations
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which property is used to extract the year from a datetime column?
getYear()
extractYear()
year()
DT.year
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the dayofweek property return?
The number of days in the month
The number of the day in the week
The number of weeks in the year
The name of the day
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a timedelta object used for?
Visualizing time series data
Representing differences between datetime values
Converting time zones
Storing date and time values
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you convert a timedelta object to a specific time unit?
By applying the changeUnit() method
By using the convert() method
By dividing it by another timedelta object
By using the transform() function
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