R Language Quiz

ggplot2 Data Visualization Quiz 29

by

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.

online ggplot2 Data Visualization Quiz with Answer

Online ggplot2 Data Visualization Quiz

1. 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?

 
 
 

2. 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?

 
 
 

3. What does it mean to modify the binning of a histogram?

 
 
 

4. 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?

 
 
 

5. How do you modify a ggplot() command to tell R to make a bar plot?

 
 
 

6. Say you had a plot that you started with this ggplot() function. 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?

 
 
 

7. Say you had a plot that you started with this ggplot() function. 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?

 
 
 

8. 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?

 
 
 

9. Which of these is NOT a component of a ggplot figure?

 
 
 
 
 
 
 

10. What is facetting?

 
 
 

11. 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?

 
 
 

12. 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?

 
 
 

13. What can you do if you have a problem with overplotting in a scatter plot?

 
 
 

14. What does it mean to set the aesthetic mappings in ggplot?

 
 
 

15. What kind of data would be the best candidate for scatter plotting?

 
 
 
 
 

16. 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?

 
 
 

17. What is the first argument in the ggplot() function?

 
 
 

18. 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?

 
 
 

19. 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?

 
 
 

20. What is the difference between using geom_bar() and geom_bar(stat=”identity”)?

 
 
 

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 28

by

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.

MCQs 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

MCQs Maps and Data Visualization in R 27

by

Put your R programming skills to the test with our MCQs Maps and Data Visualization in R Language quiz! This set of 20 multiple-choice questions covers essential topics like creating maps, plotting data, and mastering visualization techniques in R. Ideal for data scientists, analysts, and R enthusiasts, this quiz will help you sharpen your skills and deepen your understanding of data visualization. Take the quiz “MCQs Maps and Data Visualization in R Language now and level up your R programming expertise!

MCQs Maps and Data Visualization in R Language
Please go to MCQs Maps and Data Visualization in R 27 to view the test

Online MCQs Maps and Data Visualization in R Language

  • Using themes, you can change the colors and styles of the borders, backgrounds, lines, and text on a plot. What should you do if you want to completely remove one of these elements from the theme?
  • In a Leaflet map, which two statements describe the difference between the addCircles() and addCircleMarkers() functions?
  • Which package should be used to create a scatter plot?
  • Using the ggplot() method, which geometry function do you need to use to create a scatter plot?
  • Which statement best describes facets?
  • Which package can you use for extra themes and color scales for ggplot2?
  • Which function should you use if you want to add markers to display a specific location on a map that you draw?
  • Which two methods can be used to create scatter plots?
  • What is a leaflet?
  • The R command df %>% leaflet() %>% addTiles() is equivalent to what?
  • If I want to add popup icons to my leaflet map in R, I should use?
  • What is a histogram?
  • How do you add titles and labels to figures you create with plot()?
  • By default, what is the first argument in the plot() function?
  • Which of these statements about qplot() is NOT correct?
  • Load the `airquality’ dataset from the datasets package in R
    library(datasets)
    data(airquality)
    I am interested in examining how the relationship between ozone and wind speed varies across each month. What would be the appropriate code to visualize that using ggplot2?
  • The geom argument takes a string for a value.
  • Lattice plots are constructed with a single function call to a core lattice function (e.g. xyplot)
  • The lattice system is ideal for creating conditioning plots where you examine the same kind of plot under many different conditions.
  • The lattice system, like the base plotting system, returns a trellis plot object

MS Excel Quiz Questions