R Language 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.

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

Test your ggplot() function in R skills with this interactive ggplot2 data visualization quiz! Perfect for R users. The ggplot2 Data Visualization Quiz covers key ggplot2 concepts, syntax, and best practices. See how well you know ggplot2—take the challenge now!” Let us start with the ggplot2 Data Visualization Quiz now.

Please go to ggplot2 Data Visualization Quiz 29 to view the test

Online ggplot2 Data Visualization Quiz with Answers

• Which of these is NOT a component of a ggplot figure?
• What is facetting?
• What is the first argument in the ggplot() function in R?
• What kind of data would be the best candidate for scatter plotting?
• Say you had data saved to an object in R named “my_data” that looked like this:
  Height   Weight   Gender
  5           120          Male
  5.5        130          Female
  and so on.
  What is the correct ggplot() command for creating a scatter plot with weight on the x-axis, height on the y-axis, and the changing the color of the point based on gender?
• What does it mean to set the aesthetic mappings in ggplot?
• Say you have data saved to the my_data object that looks like this:
  City                  State               Population
  (categorical)    (categorical)   (numeric values)
  Which of these will draw a histogram for cities in the state of California?
• Say you have data saved to the my_data object that looks like this:
  City                  State                    Population
  (categorical)    (categorical)         (numeric values)
  Which of these will draw a boxplot of the population for cities in California?
• Say you have data saved to the my_data object that looks like this:
  City                  State                  Population
  (categorical)    (categorical)       (numeric values)
  Which of these will draw a density plot of the population for cities in California?
• What can you do if you have a problem with overplotting in a scatter plot?
• What does it mean to modify the binning of a histogram?
• How do you modify a ggplot() command to tell R to make a bar plot?
• What is the difference between using geom_bar() and geom_bar(stat=”identity”)?
• Say you had a plot that you started with this ggplot() function in R. Assume that variable1 and variable2 are categorical variables. ggplot(my_data,aes(x=variable1,fill=variable2)) What do you add to create a stacked barplot, so counts of different values of variable2 “stack” up to equal the sum of counts for the different values of variable1?
• Say you had a plot that you started with this ggplot() function in R. Assume that variable1 and variable2 are categorical variables. ggplot(my_data,aes(x=variable1,fill=variable2)) What do you add to create a grouped barplot, so counts of different values of variable2 are grouped by values of variable1?
• Let’s say you drew a bar plot where the bars were filled with colors based on some value in the data. R will automatically generate a legend. Which of these is the correct way to remove the legend?
• Say you are starting with a ggplot() command that looks like this, ggplot(my_data,aes(y=variable1,x=time)) where variable1 is a continuous numeric variable and time is a set of years from 1999 to 2000. You want a line plot that tracks the value of variable1 across these years. What do you add to draw the line that will connect variable1 values across years?
• 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 a correct series of functions for creating a line plot with time on the x-axis, value on the y-axis, and two different lines on the same plot for unit a and unit b?
• 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 colors on the same plot for unit a and unit b?
• 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 plots, one with a line for unit a and another with a line for unit b?

Try Neural Networks Quiz

Tidyverse Quiz: 15 Questions to Challenge Your R Knowledge. Test your R Language skills with this 20-question Tidyverse quiz! From dplyr to ggplot2, see how well you know data wrangling, visualization, summary statistics, and more. Perfect for R Language beginners and experts- can you score 100%? Let us start with the Tidyverse Quiz R Language.

Please go to Tidyverse Quiz 28 to view the test

Tidyverse Quiz: 20 Questions to Challenge Your R Knowledge

• Which one of these libraries is widely used for data manipulation in R?
• What do you need to do to use tidyverse commands in R?
• When you run the line: dat <- read_csv(“my_data.csv”). What kind of object is dat?
• Which is NOT a principle of tidy data?
• If there is missing data in a .csv file that you import, what should you do?
• The tidyverse replaces the techniques for manipulating data with base R.
• Which of the following are steps in the data-wrangling process?
• Which of these are advantages of Tibbles over data frames?
• Looking at tidyverse.org, how many core packages are included in the tidyverse?
• Suppose you have a tibble called “cities” with columns including population (“population”), a measure of economic activity (“gdp”), and the state in which the city is located (“state”). Which of these commands would select rows from the dataset where the value for population is more than 3,000, the value for economic activity is less than 120,000, and the city is not located in Alabama?
• Suppose you have a dataset that looks like this:
  colors <- c(“red”,”green”,”yellow”)
  speeds <- c(“slow”,”fast”,”medium”)
  my_dat <- data.frame(colors,speeds)
  What is the correct code to recode the “colors” column so that red equals 0, green equals 2, and yellow equals 1?
  Suppose you have a tibble named “dat” that has a time, date, employee, and sales column. You are reviewing someone’s R code and see the following lines:
  my_time <- filter(dat,time == 1)
  my_time_and_date <- filter(my_time,date>5)
  group_by_employee_my_time_and_date <- group_by(my_time_and_date, employee) summarise(group_by_employee_my_time_and_date, average=mean(sales))
  Which of these would do the same thing using piping?
• Suppose you have a data frame named “dat” with two numeric columns, $value1$ and $value2$. You want to add a third column called $my_value$, where the value in each row is the product of multiplying the other two values in the row by one another. Which is the correct line of code?
• Suppose you have a tibble saved into your R environment as “$my_dat$” with two columns named “$alpha$” and “$beta$”. You want to rename the “$beta$” column and call it “$gamma$”. Which of these will create a new tibble with the renamed column?
• Suppose you have a tibble saved to the object $my_dat$ with two columns, $alpha$ and $beta$. These are filled with numeric data. Which of these will arrange the data in descending order by $alpha$?
• Which of these accurately describes piping?
• Which tidyverse package is used for data import and management?
• To combine functions, use the ————.
• Which of the following is NOT one of the four groups in the tidyverse library?
• Functions contained in packages such as dplyr are used to:

Statistics, Data Analysis, and Quiz