update

Author: 0xShun

Statistical-Python/StatsAss1.py

@@ -1,10 +1,53 @@
 import matplotlib
-import nump
+import numpy
+import math
+from scipy import stats
 
-def getData():
- pass
-def displayGraph():
- pass
+def populationVariance(n):
+ mean = sum(n)/len(n)
+ n_sum = 0
+ for i in n:
+ n_sum += (i - mean)**2
+ 
+ return n_sum / len(n)
+def sampleVariance(n):
+ mean = sum(n)/len(n)
+ n_sum = 0
+ for i in n:
+ n_sum += (i - mean)**2
 
+ return n_sum / (len(n) - 1)
+
+def getData(n):
+
+ print(f"Mean: {sum(n)/len(n)}")
+ if len(n) % 2 == 0:
+ print(f"Median: {n[int(len(n)/2-1)] + n[int(len(n)/2) - 1]}")
+ else:
+ print(f"Median: {n[int((len(n)/2)-1) - 1]}")
+
+ res = stats.mode(n)
+ print(f"Mode: {res.mode, res.count}")
+ print(f"Min: {min(n)}")
+ print(f"Max: {max(n)}")
+ print(f"Range: {max(n) - min(n)}")
+ print(f"IQR: {numpy.percentile(n, 75) - numpy.percentile(n, 25)}") 
+ print(f"Population Variance: {round(populationVariance(n), 4)}")
+ print(f"Sample Variance: {round(sampleVariance(n), 4)}")
+ print(f"Population Standard Deviation: {round(math.sqrt(populationVariance(n)), 4)}")
+ print(f"Sample Standard Deviation: {round(math.sqrt(sampleVariance(n)), 4)}")
+ print(f"Coefficient of Variation: {round((sampleVariance(n) / (sum(n)/len(n))) * 100, 4)}")
+ print(f"76th percentile: {n[int((76 * (len(n) + 1)) / 100) - 1]}")
+ print(f"85th percentile: {n[int((85 * (len(n) + 1)) / 100) - 1]}")
+ print(f"6th decile: {n[int((6 * (len(n) + 1)) / 100) - 1]}")
+
+ 
 def main():
- getData(); # get Data from excel file
+ n = input("INPUT: ").split(" ")
+ print(len(n))
+ n = [int(i) for i in n] 
+ print(sorted(n))
+ getData(n)
+
+
+main()