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masha68 [24]
3 years ago
6

Write a program that computes the minimum, maximum, average and standard deviation of the population over time for a borough (en

tered by the user). Your program should assume that the NYC historical population data file, nycHistPop.csv is in the same directory.A sample run of your program:
Enter borough: Staten Island
Average population: 139814.23076923078
Maximum population: 474558
and another run:

Enter borough: Brooklyn
Average population: 1252437.5384615385
Maximum population: 2738175
Computers and Technology
1 answer:
IrinaK [193]3 years ago
4 0

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:

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Answer:

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Explanation:

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Sphinxa [80]

Answer & Explanation:

1) Query:

SELECT Product_Name, Category_Name, List_Price

FROM Products AS P JOIN Categories AS C

ON C.Category_ID = P.Category_ID

ORDER BY Category_Name, Product_Name ASC;

2) Query:

SELECT C.Last_Name, C.First_Name, Order_Date, P.Product_Name, Item_Price, Discount_Amount, Quantity

FROM Customers AS C JOIN Orders AS O

ON C.Customer_ID = O.Customer_ID

JOIN Order_Items AS OI

ON O.Order_ID = OI.Order_ID

JOIN Products AS P

ON OI.Product_ID = P.Product_ID

ORDER BY Last_Name, Order_Date, Product_Name;

3) Query:

SELECT Category_Name, Product_ID

FROM Categories LEFT JOIN Products

ON Categories.Category_ID = Products.Category_ID

WHERE Product_ID IS NULL;

4) Query:

SELECT 'SHIPPED' AS Ship_Status, Order_Id, Order_Date

FROM Orders

WHERE Ship_Date IS NOT NULL

UNION

SELECT 'NOT SHIPPED' AS Ship_Status, Order_ID, Order_Date

FROM Orders

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3 0
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