Give any one other term used for: (a) Input variable (b) Target variable (c) Attribute (d) Row

It is not enough to just name a variable; the definition must additionally provide the variable's "type" and "extra characteristics." To reiterate, each variable is distinguished from others by characteristics that are independent of the data type. We would be really appreciative if you could explain the idea that would enable us to exactly describe any given variable.

If adding a data object to a data model isn't recommended, why is that the case?

The Python code for step 7 is needed. Step 6 has been attached for data reference

I'm not clear on what the Dataset object does.

Question 1: Use MapReduce framework to convert the set of written book reviews to quantitative ratings of certain criteria. The output is the average of all numeric ratings of the book criteria. Reviewer1: Book A: I love reading it. The story is interesting, the writing is very good. Reviewer2: Book A: the story is amazing, however, the writing can be more entertaining. Reviewer3: Book B: the story is interesting, the writing is entertaining, I like reading it. Note: no standard answer since you decide the map function   Question 2: Assume there are two files each of which contains city names and their recorded temperatures (note that each file might have the same city represented multiple times) as follows: File 01: (Cheney, 20), (Spokane, 25), (Seattle, 31), (Cheney, 14), (Spokane, 23) File 02: (Cheney, 18), (Seattle, 33), (Spokane, 32), (Seattle, 29), (Spokane, 30) Given these two files as the input, illustrate the Splitting, Mapping, Shuffling, Reducing, and Final Result steps (in…

1. All of the following are described by data models tools, except: b. Data queries d. Data semantics a. Data constraints c. Data relationships

A variable's description must include not only its name, but also its "type" and "additional attributes." Every variable has more than one type of data. If you can describe the idea, we'll be able to describe any number better in the future.