1-Load the “breast-cancer-wisconsin.data.csv” from canvas into R and perform the EDA analysis by:
I. Summarizing each column (e.g. min, max, mean )
II. Identifying missing values
III. Replacing the missing values with the “mean” of the column.
IV. Displaying the frequency table of “Class” vs. F6
V. Displaying the scatter plot of F1 to F6, one pair at a time
VI. Show histogram box plot for columns F7 to F9
2- Delete all the objects from your R- environment. Reload the “breast-cancer-wisconsin.data.csv” from canvas into R. Remove any row with a missing value in any of the columns.
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1 Project 1 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of
1 Project 2 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of
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