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Difference between discrete and continuous variables

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Reference no: EM132671844

Question 1. Explain and describe 5 data cleansing techniques involved in data transformation during the data visualization projects.

Question 2. What is the difference between discrete and continuous variables?

Question 3. There are many data collection processes or methods involved in a data visualization project. Identify five and explain in no more than a paragraph.

Question 4. Why assessing the data type and size are critical when examining the data during a data visualization project?

Question 5. Date values could be erroneous. Explain some common errors you may see with bad date values.

Question 6. A common statistical approach to data visualization is univariate. Explain.

Reference no: EM132671844

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