Try linking an email to your account, if it doesn’t work select forgot your password and you should receive an email where you can re make or change your password to something easier to remember. Are you using the same email account every time, this may also be the reason, if it is the same email they will not allow you to reuse it and it should tell you the email is already in use. Hope this helped
The gear ratios would look like A:B=1:9 and C:D=1:32 if you are just needing the gear teeth ratio. Not a lot of information to go off of from the question though
Answer:
D. Create a cell reference in a formula by typing in the cell name or clicking the cell.
Further Explanation:
To create a cell reference in a formula the following procedure is used:
First, click on the cell where you want to add formula.
After that, in the formula bar assign the equal (=) sign.
Now, you have two options to reference one or more cells. Select a cell or range of cells that you want to reference. You can color code the cell references and borders to make it easier to work with it. Here, you can expand the cell selection or corner of the border.
Again, now define the name by typing in the cell and press F3 key to select the paste name box.
Finally, create a reference in any formula by pressing Ctrl+Shift+Enter.
Answer:
import pandas as pd #importing pandas library as pd
import matplotlib.pyplot as plt #importing matplotlib.pyplot as plt
pop=pd.read_csv('nycHistPop.csv') #reading the csv file
borough=input('Enter borough name:') #asking the user for borough namme
# image=input('Enter image name:')
# pop['Fraction']=pop[borough]/pop['Total']
# pop.plot(x='Year', y='Fraction')
print("Minimum population",pop[borough].min()) #printing the minimum population of borough
print("Maximum population",pop[borough].max()) #printing the maximum population of borough
print("Average population",pop[borough].mean()) #printing the average population of borough
print("Standard deviation",pop[borough].std()) #printing the standard deviation of borough
# fig=plt.gcf()
# fig.savefig(image)
Explanation: