When creating an overview visualization of a large dataset, it is most important to:

a) display only an important subset of the datapoints so as to not overwhelm the user

b)pack as many details as possible into the display to be as efficient and informative as possible

c)display all of the data using a simple representation and axes that spread the data out as much as possible

a) Display only an important subset of the datapoints so as to not overwhelm the user.

It's important to show only the information that the user needs or requested. The user won't care about other data displayed on the screen that doesn't have anything to do with the information requested.

Displaying more information or extra details that are not needed would only confuse the user and also slow the process. For example, imagine having this data:

Some datapoints from the list above could be omitted, depending on which information the user needs to consult. By doing an overview visualization, maybe the user would only like to see the employee's name, role and id.

some have built technology like spoofed call blockers into their networks, so there's nothing you would even have to install.

this happens because the number is known for scamming, they don't want it to me known as "scam likely." perhaps it's just a telemarketer. maybe it's an identity thief. it might even be a scam artist.  

either way, "scam likely" is probably not an old friend whose number you forgot that you saved. it's your wireless carrier's way of letting you know: answer at your own risk.

explanation:

to combat the seemingly rising epidemic of spam callers in the u.s., the nation's four major wireless carriers have been trying out new methods to reduce the number of unsolicited calls americans receive each day.

some have built technology like spoofed call blockers into their networks, so there's nothing you would even have to install.

hope this . mark me brainliest.