1. Explain and describe 5 data cleansing techniques involved in data transformation during the data visualization projects. 500 words
2. What is the difference between discrete and continuous variables? 100 words
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.100 words
4. Why assessing the data type and size are critical when examining the data during a data visualization project?100 words
5. Date values could be erroneous. Explain some common errors you may see with bad date values100 words
6. A common statistical approach to data visualization is univariate. Explain. 100 words