In Python, grades_dict = {'Wally': [87, 96, 70], 'Eva': [100, 87, 90], 'Sam': [94, 77, 90], 'Katie': [100, 81, 82], 'Bob': [83, 65, 85]} plot 5 box plots one for each student within a single graph. Note: Rename the x-axis data to students’ names using: plt.xticks([1, 2, 3, 4 ,5], [’Student Name 1’, ’Student Name 2’, ’Student Name 3’, ’Student Name 4’, ’Student Name 5’]), see Figure in the next page. The values in these two arguments should be retrieved automatically and should work for any number of students not just 5'''

In Python, grades_dict = {'Wally': [87, 96, 70], 'Eva': [100, 87, 90], 'Sam': [94, 77, 90], 'Katie': [100, 81, 82], 'Bob': [83, 65, 85]} plot 5 box plots one for each student within a single graph. Note: Rename the x-axis data to students’ names using: plt.xticks([1, 2, 3, 4 ,5], [’Student Name 1’, ’Student Name 2’, ’Student Name 3’, ’Student Name 4’, ’Student Name 5’]), see Figure in the next page. The values in these two arguments should be retrieved automatically and should work for any number of students not just 5'''

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter9: Records (struct)

Section: Chapter Questions

Problem 9SA

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In Python, grades_dict = {'Wally': [87,96,70], 'Eva': [100,87,90], 'Sam': [94,77,90], 'Katie': [100,81,82], 'Bob': [83, 65, 85]} write your own describe function that produces thesame 8 statistical results, for each one of the columns, that the built-in describe() function does.Note 1: Use the sample standard deviation formula (that is, the denominator is: N-1)Note 2: Your algorithm should work for any number of columns not just for 5Note 3: You can use the np.percentile() for the 25% and 75% percentile as well as the sort()built-in functions
1994 Weekly Gas GraphIn the student sample programs for this book, you will find a text file named 1994_Weekly_Gas_Averages.txt. The file contains the average gas price for each week in the year 1994.(There are 52 lines in the file.) Using matplotlib, write a Python program that reads thecontents of the file then plots the data as either a line graph or a bar chart. Be sure to displaymeaningful labels along the X and Y axes, as well as the tick marks. (in python)
In Python, grades_dict = {'Wally': [87,96,70], 'Eva': [100,87,90], 'Sam': [94,77,90], 'Katie': [100,81,82], 'Bob': [83, 65, 85]} Ask user to enter the names of the rows, i.e., indices. You can use: len(grades) to get the number of rows of the DataFrame. In addition, using the sort_index() method, ask user whether they wish to sort by rows or by columns and whether to sort in ascending or descending order (do not use any if-else statements)
In Python, grades_dict = {'Wally': [87,96,70], 'Eva': [100,87,90], 'Sam': [94,77,90], 'Katie': [100,81,82], 'Bob': [83,65,85]} Write your own describe function that produces the same 8 statistical results, for each one of the columns, that the built-in describe() function does. Note 1: Use the sample standard deviation formula (that is, the denominator is: N-1) Note 2: Your algorithm should work for any number of columns not just for 5 Note 3: You can use the np.percentile() for the 25% and 75% percentile as well as the sort() built-in functions
Programming Language: C++ Create a structure Student and ask the user how many students. Create an array which will save the number of students in the input. Ask for the data of the first and last student and display them.
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