How to Develop a data set and upload into RapidMiner, and drag the data set into the Process window. Run the process and examine your data set. Then, perform any applicable data preparation techniques on your data set (e.g., handle missing or inconsistent values), Create a research question you would like answered based on your data. Filter out some observations based on some attribute’s value or filter out a subset of values so that relevant attributes remain such that your research question can be answered. Explain the data preparation activities you applied to your data set (i.e., Do you have any missing or inconsistent data values? If so, explain how you handled these values.). Explain the filtering activities you applied to your data set.

How to Develop a data set and upload into RapidMiner, and drag the data set into the Process window. Run the process and examine your data set. Then, perform any applicable data preparation techniques on your data set (e.g., handle missing or inconsistent values), Create a research question you would like answered based on your data. Filter out some observations based on some attribute’s value or filter out a subset of values so that relevant attributes remain such that your research question can be answered. Explain the data preparation activities you applied to your data set (i.e., Do you have any missing or inconsistent data values? If so, explain how you handled these values.). Explain the filtering activities you applied to your data set.

Principles of Information Systems (MindTap Course List)

13th Edition

ISBN:9781305971776

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter5: Database Systems And Big Data

Section: Chapter Questions

Problem 2RQ: In the hierarchy of data, what is the difference between a data attribute and a data item? What is...

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Do you have any particular recommendations for capturing the data flow?
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