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2.Compute –Do the same as above but now with Time on App and Yearly Amount Spent. Is this correlation stronger than 1stOne?
3.Compute --Explore types of relationships across the entire data set using pairplot . Based off this plot what looks to be the most correlated feature with Yearly Amount Spent?
4.Compute –Create linear model plot of Length of Membership and Yearly Amount Spent. Does the data fits well in linear plot?
5.Compute –Train and Test the data and answer multiple questions --What is the use of random_state=85?
6.Compute –Predict the data and do a scatter plot. Check if actual and predicted data match?7.What is the value of Root Mean Squared Error?
Compute --Use seaborn to create a jointplot to compare the Time on Website and Yearly Amount Spent columns. Is there a correlation?
Write a function called missing_letters that takes a string parameter and returns a new string with all the letters of the alphabet that are not in the argument string. The letters in the returned string should be in alphabetical order.

Your implementation should use a histogram from the histogram function. It should also use the global variable alphabet. It should use this global variable directly, not through an argument or a local copy. It should loop over the letters in alphabet to determine which are missing from the input parameter.

The function missing_letters should combine the list of missing letters into a string and return that string.

Write a loop over the strings in list test_miss and call missing_letters with each string. Print a line for each string listing the missing letters. For example, for the string "aaa", the output should be the following.
Write a function called has_duplicates that takes a string parameter and returns True if the string has any repeated characters. Otherwise, it should return False.

Implement has_duplicates by creating a histogram using the histogram function above. Do not use any of the implementations of has_duplicates that are given in your textbook. Instead, your implementation should use the counts in the histogram to decide if there are any duplicates.

Write a loop over the strings in the provided test_dups list. Print each string in the list and whether or not it has any duplicates based on the return value of has_duplicates for that string. For example, the output for "aaa" and "abc" would be the following.

aaa has duplicates
abc has no duplicates

Print a line like one of the above for each of the strings in test_dups.
Start with the following Python code.

alphabet = "abcdefghijklmnopqrstuvwxyz"

test_dups = ["zzz","dog","bookkeeper","subdermatoglyphic","subdermatoglyphics"]

test_miss = ["zzz","subdermatoglyphic","the quick brown fox jumps over the lazy dog"]

# From Section 11.2 of:

# Downey, A. (2015). Think Python: How to think like a computer scientist. Needham, Massachusetts: Green Tree Press.

def histogram(s):
d = dict()
for c in s:
if c not in d:
d[c] = 1
d[c] += 1
return d
It's a simple Room rate checker program. I can send the requirement by email
Please give a quote
Test if a number grade is an A (greater than or equal to 90). If so, print "Great!".

Hint: Grades may be decimals.
x = 50
while (x < 80):
  x = x + ____
  print (x)

write a program that inputs the length of two pieces of fabric in feet and inches(as whole numbers) and prints the total

Write a program to test if a number grade is an A (greater than or equal to 90). If so, print "Great!".Hint: Grades may be decimals.
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