Copy df in df1a and calculate the scaled age for each row in df1a based on theirage relative to the range of ages in the dataset. Store the results in a new column namedScaled_Age.Hint: The formula for calculating scaled age is:Scaled_Age = (Age - MinimumAge) / (MaximumAge – MinimumAge)Practice 2. Based on the dataframe generated in practice 1, use Loop to create a new columnnamed Age_Comparison indicating whether the age of a person is higher, lower or the same asthe average age in the dataset. (You can use Higher/Same/Lower).Practice 3: Based on the dataframe generated in practice 2, use the loc command to chooseonly rows from index 100 to index 500 and columns Age, Scaled_Age and Age_Comparison.Save the results in a new dataframe named df_quiz and reset the index.

Based on the dataframe generated in practice 1, use Loop to create a new columnnamed Age_Comparison indicating whether the age of a person is higher, lower or the same asthe average age in the dataset. (You can use Higher/Same/Lower)

Based on the dataframe generated in practice 2, use the loc command to chooseonly rows from index 100 to index 500 and columns Age, Scaled_Age and Age_Comparison.Save the results in a new dataframe named df_quiz and reset the index

How can you drop a column named "age" from a data frame df?df$age <- NULLremove(df$age)df[-age]delete(df, age)

Measurement scale for age in years isa.Nominal scaleb.Ordinal scalec.Interval Scaled.Ratio Scale

EasyCompaniesHintWrite a solution to create a DataFrame from a 2D list called student_data. This 2D list contains the IDs and ages of some students.The DataFrame should have two columns, student_id and age, and be in the same order as the original 2D list.The result format is in the following example. Example 1:Input:student_data:[ [1, 15], [2, 11], [3, 11], [4, 20]]Output:+------------+-----+| student_id | age |+------------+-----+| 1 | 15 || 2 | 11 || 3 | 11 || 4 | 20 |+------------+-----+Explanation:A DataFrame was created on top of student_data, with two columns named student_id and