My best guess is the last option (D) tools. Hope it helps
Answer:
Option a is the correct answer.
Explanation:
- The information overflow is a state where the coming information will be more in comparison with processing information.
- For example, if there is limited space and any user has more luggage to keep on that space, then we can say that the luggage is overflow.
- So when the information is more and the processing capacity is less then we can say it information overflow condition and it is also asked by the above question. Hence option a is the correct answer.
- While the other is not because:- option b, c and d states some information statements which do not come in any information condition.
From: Tom Pearson, Manager, District Five
Regarding: New Incoming Manager, Geraldine Hines
Dear Comstock Staff: Beginning March 15, 2018, you will have a new District Five Regional Manager. After 35 years of continuous service, I am leaving all of you to pursue an exciting future.
It has been my pleasure to train my successor, Geraldine Hines, this past year. Geraldine has demonstrated that she shares the company vision to be the employer of choice here in the Valley of the Sun. I am confident that she will lead all of you into the stratosphere as we merge our call centers and expand our donor site availability.
Please give Geraldine the same level of excellence you have given to me, to our staff and to our donors.
Sincerely.
Tom Pearson, Outgoing Manager, District Five
Answer:
look up the word in the dictionary and break it down
Explanation:
Data visualization
Data visualization is a good starting point for data mining. There are several approaches to data mining that supports smart decisions. Data visualization places data in a visual context. It extracts the data in a clear and understandable way without any form of reading or writing. Results are displayed in the form of pie charts, graphs, and any other statistical representation. Such multidimensional views of data aid in developing a preliminary understanding of the trends that are hidden in the data set.
