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Critique Steps: Description: Describe where the visualization is from, and state who the author is Briefly explain the data set Describe the mappings (e.g., what is mapped to x, and y, and other...

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Critique Steps:

  • Description:
    • Describe where the visualization is from, and state who the author is
    • Briefly explain the data set
    • Describe the mappings (e.g., what is mapped to x, and y, and other elements in the visualization)
  • Evaluation:
    • Explain what elements you think work well in the visualization (e.g., data-to-ink ration, colors and background, gridlines, etc.) and why (e.g., plot is clear, colors are colorblind accessible, etc.)
    • Explain what elements you think could be improved on

Answered Same Day Sep 17, 2021

Solution

Neha answered on Sep 18 2021
158 Votes
91421 - iris visualization/code.R
li
ary('ggplot2')
li
ary(readr)
options(repr.plot.width = 6, repr.plot.height = 6)
Iris <- read.csv('Iris.csv')
class(Iris)
head(Iris)
summary(Iris)
ggplot(data=Iris,aes(x=SepalWidthCm, y=SepalLengthCm)) + geom_point() + theme_minimal()
ggplot(data=Iris,aes(x=SepalWidthCm, y=SepalLengthCm,color=Species)) + geom_point() + theme_minimal()
ggplot(data=Iris,aes(x=SepalWidthCm, y=SepalLengthCm,color=Species)) + geom_point() +geom_smooth() + theme_minimal()
ggplot(data=Iris,aes(x=SepalWidthCm, y=SepalLengthCm,color=Species)) + geom_point() +geom_smooth(se=FALSE)+
theme_minimal()
ggplot(data=Iris,aes(x=SepalLengthCm)) + geom_histogram() +theme_minimal()
91421 - iris...
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