MCQs Data Visualization in R 24

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The Quiz is about MCQs Data Visualization in R Programming Language. There are 20 multiple-choice questions covering different topics related to R Language Programming. Let us start with the MCQs Data Visualization in R Language now.

MCQs Data Visualization in R Languages

Online Multiple Choice Questions about Data Visualization in R Programming Language

1. Which function in ggplot adds a title to the plot?

 
 
 
 

2. You want to divide a plot into subplots based on a categorical variable called “quarters”. Which function should you add to ggplot() to do this?

 
 
 
 

3. How can you improve the smoothness of a histogram?

 
 
 
 

4. Which R statement creates a chart object based on the data frame “salesdata”, but allows you to vary the aesthetics from one layer to another?

 
 
 
 

5. The qplot() function has no defaults, giving you more control over the output.

 
 

6. Which parameter of the qplot() function changes the border color of the bars in a bar chart to blue?

 
 
 
 

7. What can you add to a plot if you want to emphasize important elements, such as outliers or spikes in your data?

 
 
 
 

8. What information do you need to provide to create a visualization using the Leaflet library?

 
 
 
 

9. In a scatter plot, what is the best way to change the color of the points based on a categorical variable?

 
 
 
 

10. A pie chart is the same as a —————– in polar coordinates.

 
 
 
 

11. Which functions can you use to change the title of a plot?

 
 
 
 

12. Which chart is a type of part of the whole chart?

 
 
 
 

13. If you do not specify a theme when creating a plot with ggplot2, which theme does it use by default?

 
 
 
 

14. Which of the following statements about histograms is true?

 
 
 
 

15. Which R packages will this course use to create data visualizations?

 
 
 
 

16. Which plot type helps you visualize time series data?

 
 
 
 

17. What step must you take before you can add the coord_polar() function to ggplot() to create a pie chart?

 
 
 
 

18. You added text labels to the data points on your plot, but now the plot looks messy because there are so many of them. What should you do?

 
 
 
 

19. Which ggplot2 function can create a complete plot given the data, mappings, and geom as parameters?

 
 
 
 

20. Which function is used to specify appropriate names for both axes in a plot?

 
 
 
 

Online MCQs Data Visualization in R Language

  • Which function in ggplot adds a title to the plot?
  • Which function is used to specify appropriate names for both axes in a plot?
  • Which R statement creates a chart object based on the data frame “salesdata”, but allows you to vary the aesthetics from one layer to another?
  • The qplot() function has no defaults, giving you more control over the output.
  • Which R packages will this course use to create data visualizations?
  • Which chart is a type of part of the whole chart?
  • Which ggplot2 function can create a complete plot given the data, mappings, and geom as parameters?
  • Which of the following statements about histograms is true?
  • A pie chart is the same as a —————– in polar coordinates.
  • Which parameter of the qplot() function changes the border color of the bars in a bar chart to blue?
  • How can you improve the smoothness of a histogram?
  • What step must you take before you can add the coord_polar() function to ggplot() to create a pie chart?
  • In a scatter plot, what is the best way to change the color of the points based on a categorical variable?
  • Which plot type helps you visualize time series data?
  • Which functions can you use to change the title of a plot?
  • What can you add to a plot if you want to emphasize important elements, such as outliers or spikes in your data?
  • You want to divide a plot into subplots based on a categorical variable called “quarters”. Which function should you add to ggplot() to do this?
  • What information do you need to provide to create a visualization using the Leaflet library?
  • You added text labels to the data points on your plot, but now the plot looks messy because there are so many of them. What should you do?
  • If you do not specify a theme when creating a plot with ggplot2, which theme does it use by default?

statistics and data analysis

MCQs Jupyter Notebook Code Editors IDEs

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This post is about the Python MCQs Jupyter Notebook Code Editors IDEs Online Test with Answers. It consists of 20 multiple-choice questions about Python IDEs such as Jupyter Notebooks, Visual Code Editor, Anaconda, Google Colab, Jypyter Lab, etc. Let’s start with the Python MCQs Online Test with Answers.

MCQs Jupyter Notebook Code Editors IDEs
Please go to MCQs Jupyter Notebook Code Editors IDEs to view the test

MCQs Jupyter Notebook Code Editors IDEs

  • What functionality is provided by the Jupyter Notebook file to Data Scientists?
  • What is the purpose of the kernel in the Jupyter Notebook?
  • What are the elements of Jupyter Notbook’s architecture?
  • What is the default kernel of JupyterLite?
  • What is the purpose of Anaconda?
  • In which formats can you share a notebook with other users?
  • What is a feature of a JupyterLab?
  • Which option outputs the currently highlighted code cell in Jupyter Notebook?
  • How can you switch the kernel in the Jupyter Notebook?
  • Which of the following can be used to work with Jupyter Notebook?
  • What do you use to convert the ipynb file to other formats?
  • What is one of the features of JupyterLite?
  • What is one of the features of Google Colab?
  • Which environment is used for creating and modifying Jupyter Notebooks on a local device?
  • How can you execute Python code in Visual Studio code?
  • Which of the following statements establishes the connection between a Jupyter Notebook SQL extension and an SQLite database ‘EMP.db’?
  • Which two of the following can be stated as uses of cell magic in Jupyter Notebooks?
  • What would be the outcome of the following Python code?
    import sqlite3
    import pandas as pd
    conn = sqlite3.connect(‘HR.db’)
    data = pd.read_csv(‘./employees.csv’)
    data.to_sql(‘Employees’, conn)
  • What would be the correct way to query a database table using Python? Assume that output in any form is acceptable.
  • Which of the following features are provided by Jupyter Notebook in the context of Python programming?

Statistics and Data Analytics

R Language Basic Quiz 23

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The post is about the “R Language Basic Quiz” which will help you check your ability to execute some basic or R Language, RStudio, Jupyter Notebook, and Google Colab. This quiz will help the learner to understand some basic concepts related to R Programming Language. This quiz may also improve your computational understanding, and it will also help you to learn and practice the R language Basic Quiz now.

R Language Basic Quiz with Answers
Please go to R Language Basic Quiz 23 to view the test

R Language Basic Quiz

  • Where can you type R commands in RStudio?
  • Which R library will you use for data visualizations such as histograms, bar charts, and scatterplots?
  • Which is the command used to install packages in R?
  • Which of the following is True about R language?
  • What is a great alternative to Jupyter Notebooks when programming in R?
  • Jupyter Notebooks is the tool most R developers use.
  • What type of environment is RStudio?
  • In a box plot, in which quartile does 50% of the sorted data fall below?
  • What does “CRAN” stand for in the context of R programming?
  • With data binning, observations are often organized into defined intervals called quartiles. Which quartile is the median of the dataset?
  • Which function replaces missing values in a dataset?
  • Which of the following is NOT a task facilitated by R?
  • Which of the following statements about Jupyter Notebook is correct?
  • Which of the following is a lightweight tool built from Jupyterlab components?
  • Which among the following is a cloud-based Jupyter notebook that can be saved on Google Drive?

Statistics Software and Data Analysis