Identify data situations$$from your own experience$$that you think would be prone to "messy data."

Describe:

Show at least two practical examples of "messy data" $($e$.$g$.,$ punctuation, sarcasm, and so on$).$What the data is like $($with some examples$)?$

Why do we even have to worry about cleaning the data? What problems would exist if we did not do this step?

What steps would you take to "clean" this data?

What would you consider to be the$$most$$important step in "cleaning" data and why?

Data quality can be assessed in terms of several issues, including accuracy, completeness, and consistency. For each of these three items, discuss how data quality assessment can depend on the$$intended use$$of the data, giving examples. $$

$$Be sure to address each point in your main post.$$ Also, be sure to illustrate with an example.

In your response to other students, suggest changes to their design that you think would make it a stronger analysis, or ask clarifying questions if anything was a bit confusing.