Given the following table, classify all the attributes appearing in the table as binary, discrete or continuous. Also classify them as qualitative (nominal or ordinal) or quantitative (ratio or interval). Justify your answer in each case. Show the normalization (scaling data between 0 and 1) of values in the age attribute column. How can you handle missing values in Age column and Height column? Replace Y and N respectively by 1 and 0 in the first column. Replace M and F respectively by 0 and 1 in the second column. You will get one binay vector each for Smoker attribute and Gender attribute. Find out the similarity measure between these two vectors using Jaccard coefficient. Smoker Gender Age Y Y N Y Y N Y Y N N Y F M F M M M F M M F F 32 34 39 41 25 36 45 31 29 51 38 Height Tall Medium Medium Tall Tall Tall Short Tall Medium Tall Short Marital Status Married Marries Single Single Divorcee Single Married Single Divorcee Single Married