Problem
• Explain and describe 5 data cleansing techniques involved in data transformation during the data visualization projects. 500 words
• What is the difference between discrete and continuous variables? 100 words
• There are many data collection processes or methods involved in a data visualization project. Identify five and explain in no more than a paragraph. 100 words
• Why assessing the data type and size are critical when examining the data during a data visualization project?100 words
• Date values could be erroneous. Explain some common errors you may see with bad date values. 100 words.
• A common statistical approach to data visualization is univariate. Explain. 100 words
The response must include a reference list. Using one-inch margins, double-space, Times New Roman 12 pnt font and APA style of writing and citations.