In RStudio, perform IDA on the iris data. How many different species of iris flowers does the dataset have?Single choice

A

3

B

5

C

2

D

4

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A random sample ( x , y ) was collected. The results are listed below: ######################### x<-( 1.77 , 2.14 , 1.73 , 3.3 , 2.61 , 0.41 , 2.06 , 2.18 , 2.31 , 0.89 , 3.63 , 2.57 , 0.75 , 0.41 , 3.08 , 2.16 , 2.15 , 2.96 , 2.46 , 2.6 , 3.05 , 2.01 , 2.17 , 0.37 , 2.59 , 1.6 , 1.9 , 0.75 , 1.93 , 2.52 , 3.15 , 2.21 , 2.07 , 2.71 , 0.65 , 2.41 , 1.81 , 2.21 , 3.28 , 2.69 , 2.81 , 1.19 , 3.44 , 2.71 , 1.96 , 1.76 , 1.27 , 2.66 , 2.55 , 3.58 , 2.12 , 1.48 , 2.45 , 1.49 , 3.98 , 4.25 , 1.18 , 1.41 , 3.19 , 0.95 , 3.87 , 2.09 , 2.07 , 1.58 , 1.67 , 1.06 , 0.56 , 3.98 , 2.2 , 3.78 , 1.26 , 1.33 , 2.3 , 1.23 , 1.08 , 2.27 , 1.22 , 0.96 , 1.55 , 0.89 , 2.12 , 1.39 , 2.91 , 1.41 , 2.25 , 2.37 , 2.19 , 2.12 , 2.54 , 2.69 , 1.62 , 2.85 , 3.37 , 2.19 , 3.98 , 3.01 , 0.17 , 2.01 , 0.73 , 1.78 ) ######################### y <-( 0.15 , 1.18 , -0.18 , 2.46 , 0.96 , 1.17 , 1.78 , 2.09 , 1.69 , 1.58 , 1.99 , 1.11 , 1.18 , -1.24 , 1.87 , 0.76 , 0.83 , 1.68 , 1.96 , 1.43 , 1.54 , 2.35 , 0.96 , -0.81 , 1.49 , 1.31 , 0.83 , -0.29 , 0.25 , 1.2 , 2.21 , 0.62 , 1.6 , 0.19 , -0.04 , -0.13 , 0.51 , 0.68 , 1.63 , 1.63 , -0.1 , 1.37 , 0.77 , 1.25 , -0.15 , 0.01 , 2.36 , 1.67 , 0.26 , 0.94 , 1.57 , 0.46 , 1.14 , -0.44 , 1.5 , 2.18 , 1.18 , -0.21 , 0.8 , 1.82 , 3.29 , 0.85 , 2.13 , 1.47 , 0.05 , 2.27 , -0.69 , 1.56 , 1.06 , 2.99 , 2.57 , 0.44 , 1.76 , 0.15 , -0.25 , 1.24 , 1.01 , 2.04 , 1.58 , 1.09 , -0.11 , 1.37 , 2.13 , -1.05 , 1.77 , 1.21 , 2.65 , 0.35 , 1.11 , 0.77 , 0.44 , 2.25 , 1.64 , 2.02 , 1.77 , 0.96 , 0.62 , 0 , 0.15 , 0.4 ) ######################### Which of the following is true about the data set?   ( Hint: Look at some graphs. )

Which of the following is NOT a goal of EDA?

Sequence the steps in EDA from the initial stage to the final stage:

Assertion: EDA helps in understanding the data’s characteristics. Reason: Visualizing data is optional in EDA and does not significantly contribute to data understanding.

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