Correlation

correlation.py

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+#correlation of nominal data and numeric data
+print("Enter details of contigency table of nominal data:")
+x=int(input("\nEnter the no. of rows in contigency table:"))
+y=int(input("\nEnter the no. of attributes in contigency table:"))
+print("\nEnter the elements in contigency table:")
+num=[]
+b=0
+tb=[0 for i in range(y)]
+for i in range(x):
+ r=[]
+ tv=0
+ for j in range(y):
+  a=int(input())
+  tv=tv+a
+  r.append(a)
+  tb[j]=tb[j]+a
+ r.append(tv)
+ b=b+tv
+ num.append(r)
+tb.append(b)
+num.append(tb)
+x2=0
+print("\nEntered data:")
+for i in range(x+1):
+ for j in range(y+1):
+  print(num[i][j],end=" ")
+  if(i<x and j<y):
+     c=((num[x][j]*num[i][y])/num[x][y])
+     x2=x2+(((num[i][j]-c)**2)/c)
+ print()
+print("\nX2 of given data:",x2) 
+if(x2>10.828):
+ print("\nReject the hypothesis")
+else:
+ print("\nAccept the hypothesis")
+print("\nEnter the details of 2D data set of Numeric data:")
+g=int(input("\nEnter the no. of data sets in 2D data set:"))
+xm1=0
+xm2=0
+xd=[]
+for i in range(g):
+ r="X"+str(i+1)+":"
+ a=input(r).split(" ")
+ xd.append(a)
+ xm1=xm1+float(a[0])
+ xm2=xm2+float(a[1])
+ xd.append(a)
+xm1=xm1/g
+xm2=xm2/g
+q=0
+v1=0
+v2=0
+for i in range(g):
+ q=q+((float(xd[i][0])-xm1)*(float(xd[i][1])-xm2))
+ v1=v1+((float(xd[i][0])-xm1)**2)
+ v2=v2+((float(xd[i][1])-xm2)**2)
+
+v1=(v1/g)**0.5
+v2=(v2/g)**0.5
+print("Rab of numeric data:",round((q/(g*v1*v2)),3)) 
+if((q/(g*v1*v2))>0):
+ print("Positive Correlation")
+elif((q/(g*v1*v2))==0):
+ print("\nNo Correlation")
+else:
+ print("\nNegative Correlation")