
Exploring Datasets in Python
Quiz
•
Computers
•
University
•
Easy
Emz Ant
Used 1+ times
FREE Resource
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60 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a dataset in Python?
A dataset in Python is a structured collection of data used for analysis and manipulation.
A dataset in Python is a type of algorithm.
A dataset in Python is a programming language.
A dataset in Python is a graphical representation of data.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you load a CSV file into a dataset using pandas?
Use pandas 'load_csv' function: pd.load_csv('file_path.csv')
Import the CSV file using pd.import_csv('file_path.csv')
Read the CSV file with pandas 'open_csv' method: pd.open_csv('file_path.csv')
Use pandas 'read_csv' function: pd.read_csv('file_path.csv')
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What function is used to display the first few rows of a dataset in pandas?
first_rows()
display_start()
show_top()
head()
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the 'describe()' method in pandas?
To sort the DataFrame by a specific column.
To visualize the data in a graphical format.
To filter rows based on a condition.
To generate descriptive statistics of a DataFrame.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you check for missing values in a dataset?
Use 'describe()' to get a summary of the dataset.
Use methods like 'isnull()' or 'isna()' in pandas to check for missing values.
Check for missing values by counting the total number of rows.
Use 'dropna()' to remove all rows with missing values.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between a DataFrame and a Series in pandas?
A DataFrame can only hold numeric data, while a Series can hold any data type.
A DataFrame is two-dimensional, while a Series is one-dimensional.
A DataFrame is used for time series data, while a Series is for categorical data.
A DataFrame is a single column, while a Series can have multiple columns.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you filter rows in a dataset based on a condition?
Sort the dataset in ascending order.
Use boolean indexing or SQL queries to filter rows based on a condition.
Group rows by their values.
Use pivot tables to summarize data.
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