Questions
Data Science Principles (202504-LLecture)
Single choice
Sequence the steps in EDA from the initial stage to the final stage:
Options
A.a. Data modeling, data visualization, dimensionality reduction, data transformation
B.b. Data visualization, dimensionality reduction, data cleaning, pattern detection
C.c. Data cleaning, hypothesis testing, data transformation, data visualization
D.d. Data gathering, data cleaning, data inspection, data analysis
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Step-by-Step Analysis
In approaching the question about the sequence of steps in Exploratory Data Analysis (EDA) from the initial stage to the final stage, I will evaluate each option in terms of logical order and typical EDA workflow.
Option a: 'Data modeling, data visualization, dimensionality reduction, data transformation' This sequence starts with data modeling, which is generally not part of initial EDA; modeling often follows after understanding the data. Visualization and dimensionality reduction can occur during EDA, but placing data transformatio......Login to view full explanationLog in for full answers
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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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