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Data Visualization in R

Quiz by Aaron Curtis

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32 questions
Show answers
  • Q1
    You can’t tackle big data unless you have experience with small data.
    True
    False
    30s
  • Q2
    An R __________ is a collection of functions, data, and documentation that extends the capabilities of base R.
    data.frame
    repository
    library
    package
    30s
  • Q3
    You can install the complete tidyverse with a single line of code:
    install.packages("tidyverse")
    import("tidyverse")
    library("tidyverse")
    load("tidyverse")
    30s
  • Q4
    Once you have installed a package, you can load it with the _________ function.
    setwd()
    library()
    load()
    import()
    30s
  • Q5
    The ggplot2, tibble, tidyr, readr, purrr, and dplyr packages are known as the ______ of the tidyverse.
    trunk
    foundation
    core
    center
    30s
  • Q6
    The easiest way to include data in a question is to use ______ to generate the R code to recreate it.
    input()
    dput()
    recreate()
    generate()
    30s
  • Q7
    ggplot2 implements the ___________, a coherent system for describing and building graphs.
    descriptions of data
    aesthetics of attributes
    grammar of graphics
    characters of charts
    30s
  • Q8
    To load the core tidyverse packages use the _________ command.
    load(tidy-core)
    install.packages(tidyverse)
    use.package(tidyverse)
    library(tidyverse)
    30s
  • Q9
    A _______ is a rectangular collection of variables (in the columns) and observations (in the rows).
    data cube
    pivot table
    meta matrix
    data frame
    30s
  • Q10
    ________ creates a coordinate system that you can add layers to.
    coord()
    ggplot()
    geom()
    graph()
    30s
  • Q11
    The first argument of ggplot() is the ______ to use in the graph.
    aesthetic
    mapping
    dataset
    statistic
    30s
  • Q12
    You complete your graph by adding one or more ______ to ggplot().
    plots
    layers
    charts
    aesthetics
    30s
  • Q13
    Each geom function in ggplot2 takes a _______ argument. This defines how variables in your dataset are mapped to visual properties.
    data
    mapping
    visual
    variables
    30s
  • Q14
    The mapping argument is always paired with _____.
    geom()
    aes()
    data()
    coord()
    30s
  • Q15
    Running ggplot(data = mpg) by itself will generate
    a blank grid
    a scatterplot using the first two variables in mpg
    a prompt for the variable names
    an error
    30s

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