It’s two ways to analyze data
#First we define the variables to house the temperatures
#temp is an empty array that will be used to store the temperature
Temp = []
#The months is defined as stated below
months = 12
#Ask the user for the temperature input and unit if possible
print("Kindly enter the temperature here")
#the program enter loop to get the temperatures.
for x in range(months):
InitTemp = str(input("Kindly add the unit behind the number .eg C for celcius"))
Temp.append(InitTemp)
j=0
for x in range(len(Temp)):
j=j+1
print("The Temperature is", " ", Temp[x], "for the ", j, "Month" )
#there is an attached photo for the flowchart
It helps reveal the flow of execution of your program, including results of in-between evaluations. In other words, you can see what your program is doing, and why it takes the decisions it is taking.
If something unexpected happens, the trace will show you the sequence of events that lead to it.
Answer:
True
Explanation:
While I believe it's a compendium of the both(both true and false), I when asked to pick just one, I would go with yes. They're are lots of things we humans do on a general note that causes flooding. Although, heavy rainfall can also cause flooding and that's not as a result of human activity, but directly. But then, activities like not maintaining a dam, or erecting a structurally failed dam can cause flood to occur at any point in time, without warning even. Another way is when due to our activities, we block the rivers, this can also lead to flooding exactly like the case of heavy rainfall does. Lack of good drainage facilities, drainage wouldn't create itself, we as humans do. When we don't were essentially creating an excuse for an eventual happening of flood.
Succinctly put, human activities also cause floods, as much as natural events causes flood.
