Motherboard or main sequence processor
(either that a mainframe or a server)
hope this helps
Answer:
3. Granularity
Explanation:
Granularity's concept is representing the level of how do we store the data in our database.
If the data are detailed, we can resume the data until get a granularity more strong for our analysis.
For example:
We could store data year by year of our costumers, if want to get more granularity, we could store data month by month, also we could get specific data like how often our customers visit the business or how often our customers buy in a category product.
Answer:
A. Connectivity
Explanation:
I just answered this question.
Answer:
1. t is a function used to transpose a matrix object. The object is passed as an argument to the function.
2. matplot is a graphical function in R used for data visualization.
3. The c function is used to combine arguments.
4. seq is an R function used to derive a range of numbers, optionally specifying a start, stop and step argument or simply a single numeric argument.
5. legends are used in data visualization to list and define items in the graphical presentation.
6. matrix is a function in R used to create and work with matrix and data frame objects.
7. rownames and colnames are functions used to label the row and columns of a data frame in R.
8. The typeof function return the data type of an object.
Explanation:
The R programming language is a dedicated programming language for data analysis and visualization.
