Lab-3

 #importing modules to calulate the mean, median, mode, 
 #standard devaition and variance
import numpy as np
from scipy import stats

class GradeStatistics:
  def __init__(self, data):
    self.data = data

    def mean(self):
#making all the variables global so that they can be accessed in any method 
            global s1,s2,s3,s4,s5
#accessing the each row and assigning them as each student
            s1=self[:1,0:]
            s2=self[:2,0:]
            s3=self[:3,0:]
            s4=self[:4,0:]
            s5=self[:5,0:]
#finding the Average grades of each student in a series of 5 tests
#and finding the average of entire class with all grades
            print("---------Mean-----------")
            print("The average grades of student 1 is", np.average(s1))
            print("The average grades of student 2 is", np.average(s2))
            print("The average grades of student 3 is", np.average(s3))
            print("The average grades of student 4 is", np.average(s4))
            print("The average grades of student 5 is", np.average(s5))
            print("----------------")
            print("The average grades of all the students is", np.average(self))
            print()
    mean(data)

#finding the medain grades of each student in a series of 5 tests
#and finding the median of entire class with all grades
       
    def median(self):
        print("---------Median-----------")
        print("The median grade of student 1 is", np.median(s1))
        print("The median grade of student 2 is", np.median(s2))
        print("The median grade of student 3 is", np.median(s3))
        print("The median grade of student 4 is", np.median(s4))
        print("The median grade of student 5 is", np.median(s5))
        print("----------------")
        print("The median grade of the class is", np.median(self))
        print()
    median(data)
    
#finding the standard devaition  grades of each student in a series of 5 tests
#and finding the standard deviation of entire class with all grades
    
    def Std(self):
        print("-------------Standard Deviation-----------")
        print("The standard deviation of student 1 is", np.std(s1))
        print("The standard deviation of student 2 is", np.std(s2))
        print("The standard deviation of student 3 is", np.std(s3))
        print("The standard deviation of student 4 is", np.std(s4))
        print("The standard deviation of student 5 is", np.std(s5))
        print("-------------")
        print("The standard deviation of the class is", np.std(self))
        print()
    Std(data)
    
#finding the variance grades of each student in a series of 5 tests
#and finding the variance of entire class with all grades   

    def variance(self):
        print("----------Variance------------")
        print("The variance of student 1 is ", np.var(s1))
        print("The variance of student 2 is ", np.var(s2))
        print("The variance of student 3 is ", np.var(s3))
        print("The variance of student 4 is ", np.var(s4))
        print("The variance of student 5 is ", np.var(s5))
        print("---------------")
        print("The variance of the class is ", np.var(self))
        print()
    variance(data)
    
    def mode(self):
        print("---------Mode----------")
        print("The mode of the class is ", stats.mode(self))
    mode(data)

#Each row represents a series of 5 grades for one student
#there are 5 students who wrote 5 set of tests
matrix = GradeStatistics(np.array([[60,70,80,90,100],
                                   [50,70,86,54,54],
                                   [90,78,89,67,98],
                                   [98,78,67,90,67],
                                   [70,65,91,98,94]]))

'''
    Mean is used to get the average value among a large sum of values. It helps
    to analyze and compare an individual with the entire set of data

    Median is mostly used to get the central tendency of the data
    it helps in getting the middle value of the data which
    helps in predicting the average

    Mode is used to get the frequency of the numbers. it
    is used to get the most recurring element in the entire data

    Standard deviation is used to get the deviation when comparing
    multiple items with each other. In real life it is used by real 
    estate agants for variation

    Sometimes standard devaition may be negative, at that time 
    variance can be used to make it a positive number. It is also used to 
    get the difference between each number and the mean of the entire data
    '''