EDA Python - 19-Pandas_3

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Information Technology (IT), Architecture, Social Studies
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of using the OS module in the notebook?
To import data from CSV files
To create file paths independent of the operating system
To style the plots
To execute Python scripts
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is whitespace removed from column headings in a DataFrame?
By converting the column to a string
By reloading the DataFrame
Using the strip method in a list comprehension
Using the replace method
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the benefit of converting a column to a datetime data type?
It allows for time series analysis
It reduces memory usage
It improves data accuracy
It changes the data format to string
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the pivot function in Pandas do?
It filters the DataFrame
It merges two DataFrames
It sorts the DataFrame
It reshapes the DataFrame by turning unique values into columns
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library provides more granular control over plot appearance?
Pandas
NumPy
Matplotlib
SciPy
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you create a horizontal bar chart in Matplotlib?
Using the plot function
Using the barh function
Using the scatter function
Using the line function
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of using a mask in data filtering?
To filter data based on a condition
To highlight data
To sort data
To merge data
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