Question 6According to the Module 2 reading, “Data Mining”, when data are missing in a systematic way, you can simply extrapolate the data or impute the missing data by filling in the average of the values around the missing data.1 pointFalse.True.

Question 6According to the Module 2 reading, “Data Mining”, when data is missing in a systematic way, you should determine the impact of the missing data on the results and whether missing data can be excluded from what?1 pointThe studyThe data setThe analysisThe evaluation

In which of the following step the missing values are addressed ?  A. Data Cleaning  B. Data Collection  C. Data Arrangement  D. Data Gathering

(b) Discuss why it is necessary to handle missing values. Use Python program to identify the variables with missing values in the given dataset. [No more than 200 words (including in-text citation, excluding Python code)] (15 marks)

How we can deal with missing data? Please select all that apply. Using other questions as a guide to arrive at an answer. Replacing the missing value with a value from a different respondent. Using the mean of a subsample of similar respondents. Using the mean of the entire sample.

When to use the mean for the missing data imputation