R Language Quiz

Test your R data visualization skills with this 20-question R Graphics MCQ quiz! This R Data Visualization Quiz is perfect for R learners, statisticians, and data analysts preparing for exams or job interviews. Covers ggplot2, Plotly, animations, choropleths, SF maps, and best practices in R visualization. Assess your expertise now! Let us start with the R Data Visualization Quiz now.

R Data Visualization Quiz with Answers

• Which function do you use to create a pie chart in Base R?
• What aesthetic do you use to select the variable for painting in a choropleth?
• What R package do you need to draw Simple Features maps with R in conjunction with ggplot?
• What geom is used to draw maps using simple features data?
• Which of these most accurately describes how to fill in the colors for a choropleth made with simple features data?
• What is the best practice for adding labels to points in a bubbleplot made with simple features data?
• What is the advantage of the usa_sf() data?
• What is the closest animated equivalent to making a static figure with facet_wrap and a categorical variable?
• What is the most straightforward way of saving an animation?
• What is “easing”?
• When would you use transition_layers()?
• How can you control the speed of a transition between frames in transition_states?
• What is the basic function for adding the plotly interactive interface to a ggplot figure?
• Which of these is a way to export an interactive plotly figure?
• What aesthetic do you set in the ggplot() function that allows ggplotly to animate the figure?
• How do you export an animation created with ggplotly?
• What is the point of mapping the id’s aesthetic when animating a ggplot figure with ggplotly?
• What will be the output of this R code? ggplot(data, aes(cty, hwy)) + geom_point() + stat_smooth(method = lm)
• Is it better to use a .shp file or .geojson file?
• When you want to use a .geojson or .shp file to draw a simple features map, what should you do with other files that might be associated with those files when you download the data?

Statistics for Data Science & Analytics

This R Markdown Quiz covers essential and advanced concepts in R Markdown, from basics like file formats and syntax to advanced features like caching, parameterized reports, and debugging. Whether you are a beginner or an experienced user, these questions will challenge your understanding of:

• Core concepts: What R Markdown is, its file format (.Rmd), and reproducibility.
• Syntax & formatting: Headers (#), italics (*text*), links, and tables.
• Code chunk options: Controlling code display (echo, eval, include).
• Output formats: Exporting to HTML, PDF, Word, and invalid formats.
• Advanced features: Conditional content, interactive documents (shiny, flexdashboard), caching, and custom output formats.
• Debugging & optimization: Using knitr::opts_chunk$set() and handling knit failures.

Perfect for R programmers, data scientists, and researchers who use R Markdown for dynamic reporting! Let us start with the R Markdown Quiz now.

Please go to R Markdown Quiz 31 to view the test

Online R Markdown Quiz with Answers

• What is R Markdown?
• In R markdown presentations, in the options for code chunks, what command prevents the code from being repeated before results are interpreted in the final interpreted document?
• In R markdown presentations, in the options for code chunks, what prevents the code from being interpreted?
• Which of these file formats can you export an R Markdown file in RStudio?
• What software program is the easiest to use to compile R Markdown files?
• Are R Markdown reports reproducible?
• What is the file format for an R Markdown file?
• What symbol is used in Markdown syntax to denote a header?
• What kind of formatting would you see if you saw Markdown syntax like this: Example Text
• Which of these commands would insert a link like the following into a Markdown file? Google
• Which R function is the best first choice when trying to format a table in Markdown?
• Which of these chunk setup commands will include R output but not the code that generated the output?
• What is the process to convert an R Markdown file to an HTML, PDF, or Microsoft Word document?
• How can you conditionally include/exclude content in an R Markdown document based on a parameter?
• Which package allows you to create interactive documents with R Markdown?
• How do you cache computations to avoid re-running heavy code chunks?
• What is the purpose of knitr::opts_chunk$set()?
• How do you create a custom output format in R Markdown?
• How can you debug an R Markdown document that fails to knit?
• Which of the following is NOT a valid output format in R Markdown?

Online Neural Network Quiz

Test your ggplot2 skills with this 20-question multiple-choice quiz! The ggplot Visualizations Quiz covers essential topics in data visualizations in R’s ggplot2 package, including:

• Creating basic plots (scatter plots, line plots)
• Customizing visuals with geoms (geom_smooth, geom_text_repel)
• Using scales (scale_color_gradient, scale_color_brewer)
• Advanced techniques like scatterplot matrices and geographic maps

Whether you are a beginner or looking to refine your ggplot2 expertise, the quiz will challenge your understanding of building, customizing, and interpreting data visualizations in R. Let us start with the ggplot Visualizations Quiz now.

Please go to ggplot Visualizations Quiz 30 to view the test

Online ggplot Visualizations Quiz with Answers

• Say you have data that looks like this, saved to the object my_dat:
  time   unit   value
  1        a        5
  1        b       10
  2        a        6
  2        b        9
  3        a        7
  3        b        8
  Which is the correct series of functions for creating a line plot with time on the x-axis, value on the y-axis, and two different lines with different styles, one with a line for unit a and another with a line for unit b?
• What is the basic ggplot function for adding text to a plot without drawing a rectangle around the text?
• Say you had a dataset named my_dat that summarizes the height and weight of a group of people. The first two rows look like this:
  name   height   weight
  Steve   6            170
  Amy     5.5         140
  You want a scatter plot with each person’s name at the correct x-y coordinate for height and weight. Which command is correct?
• If you wanted to plot the points in a scatter plot but move the text label down three units, what is the correct modification?
• What is the value of geom_text_repel()?
• What does a scale do?
• Review the code below, where variable1, variable2, and variable3 are continuous numeric variables: ggplot(data,aes(x=variable1,y=variable2,color=variable3)+ geom_point()+ scale_color_gradient(low=”blue”,high=”yellow”)
  What is scale_color_gradient telling R to do?
• Why would you want to use scale_color_brewer?
• What is the default method for fitting a best-fit line with geom_smooth?
• What function is required to make a scatterplot matrix?
• What geom do you need to use to draw a Cleveland dot plot?
• In the ggcorrplot() function, what is the role of the “type=” argument?
• What is the correct geom for filling in the area underneath a line in a line plot?
• What structure do you need your data to be in to make a dumbbell plot?
• Using the ggalt package, what is the geom used to draw a dumbbell chart?
• What is the aes() that you need to set in order to create a stacked area chart?
• Which of these geoms is required to create a complete alluvial diagram?
• In conjunction with ggplot and packcircles, what geoms are used to make a labelled packed circle plot?
• What geom is used to draw geographic borders using ggplot?
• What geom is used to place points on a map using latitude and longitude data?

Exploratory Data Analysis Quiz