Answer:
The solution code is written in Python 3.
- def convertDate(date_string):
-
- date_list = date_string.split("/")
-
- for i in range(0, len(date_list)):
- date_list[i] = int(date_list[i])
-
- return date_list
-
-
- print(convertDate('06/11/1930'))
Explanation:
Firstly, create a function convertDate() with one parameter, <em>date_string</em>. (Line 1).
Next, use the Python string <em>split()</em> method to split the date string into a list of date components (month, day & year) and assign it to variable <em>date_list</em>. (Line 3) In this case, we use "/" as the separator.
However, all the separated date components in the <em>date_list</em> are still a string. We can use for-loop to traverse through each of the element within the list and convert each of them to integer using Python<em> int() </em>function. (Line 5 - 6)
At last return the final date_list as the output (Line 8)
We can test our function as in Line 11. We shall see the output is as follow:
[6, 11, 1930]
Answer:
Information
Explanation:
Good decisions are normally based on facts which are tangible information that can be analysed to show trends of key figures such as sales, income, production that are so critical in business. A well-designed and accurate database captures and stores these figures in an organised way which will enable the information or data to be analysed to make informed decisions.
Answer:
Yes
Explanation:
Depending on the ethernet standard used, the IEEE 802.3 is faster than the WIFI (IEEE 802.11ac).
The ethernet protocol on cabled networks are of different speed based on ethernet standard which ranges from 10 Mega-bits to 100 Giga-bits per second. This protocol is found in the physical layer of the OSI model.
The wifi 802.11ac also known as wifi 5 is a wireless connection medium in the physical layer of the OSI model. It has a range of aggregate speed capacity of 433 mega-bits per second to 6.77 giga-bits per second.
Answer:
C. analyzes data and trends and predicts future data and trends.
Explanation:
Predictive analytics can be defined as a statistical approach which typically involves the use of past and present data ( factual informations) in order to determine unknown events or future performances of a business firm or organization. It is focused on determining what is likely to happen in the future.
For example, a data analyst trying to determine how to effectively stock his company's warehouses incase of an anticipated pandemic and he's using current sales data to project the demands.
Hence, a predictive data analyst is an individual who analyzes data and trends and predicts future data and trends.
