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

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.

What is the significance of identifying and addressing missing data in a research dataset?  A. It has no impact on the analysis.  B. It helps in creating a more comprehensive dataset.  C. It makes the dataset smaller and more manageable.  D. It only affects qualitative data.

(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)

Question 5According to the Module 2 reading “Data Mining”, the output of a data mining exercise largely depends on the quality of what?1 pointThe dataThe data scientistThe projectThe material

How does a researcher handle "Don't Know" responses during data preparation?  A. Exclude those responses from the analysis  B. Assign a neutral value to "Don't Know"  C. Treat them as missing data  D. Convert them to qualitative data