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- Which of the following is generally seen as the most pressing ethical issue within the field of Big Data? A) social isolation B) algorithm obsoletion C) behavioral manipulation D) privacy invasionPlease help me with the following questions: 1. What of the following are correct statements about missing values in data? Choose all that apply. a.Missing values must be imputed using best guesses. b.Certain analytics algorithms can tolerate (i.e., work with) data with missing values c.Records with missing values must be dropped. d.The pattern of missing values needs to be analyzed to determine how to handle missing values. 2.In the following code, df is a pandas DataFrame: print(df.isna().sum()) Which statements about the above code are correct? Choose all that apply. a.It tabulates records (i.e., rows) of missing values in the data frame df. b.It prints out the total number of missing values in the data frame df. c.It tabulates number of missing values in each column of the data frame df. d.For it to work properly, missing values must be represented using standard representation supported by pandas package.Go to https://youtu.be/BB2O4VCu5j8 and watch the discussion regarding Data mining concepts and a case study about using R to apply data mining operations. Summarize your finding about this case study in couple of paragraphs.
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