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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

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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