Explore your data using R programming
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Information Technology (IT), Architecture
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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
Why is it important to understand the dimensions and characteristics of your data before analysis?
To avoid errors in analysis
To ensure data privacy
To reduce data size
To make data visualization easier
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of the Tidyverse package in R?
To enhance data visualization
To provide a collection of data manipulation tools
To improve R's performance
To secure data
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the 'dim' function in R return?
The data types of variables
The dimensions of a data frame
The unique values in a dataset
The number of missing values
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the 'glimpse' function differ from 'str' in R?
It is faster
It provides a more detailed view
It only works with numeric data
It offers a cleaner and more readable output
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the 'view' function in R?
To delete data
To edit data
To visualize data in a spreadsheet-like format
To summarize data
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the 'names' function in R do?
Returns the names of all variables in a dataset
Deletes variables from a dataset
Changes the names of variables
Lists all the datasets in R
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to distinguish between 'NA', 'none', and 'unknown' in data?
They represent different types of missing data
They all mean the same thing
They are used for data visualization
They are irrelevant in data analysis
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