Done analyzing

statistics-test.py

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+import pandas as pd
+import seaborn as sns
+from matplotlib import pyplot as plt
+import statistics as st
+from scipy import stats
+from statsmodels.stats.weightstats import ztest
+import numpy as np
+
+data = pd.read_csv("result.csv")
+
+data['viewRate'] = (data['view'] / data['video']) / data['fan']
+
+ind = data.loc[data['isOffice'] == 0]
+office = data.loc[data['isOffice'] == 1]
+
+#   Question 1
+test11 = ztest(
+    ind['fan'],
+    office['fan'],
+    alternative='smaller'
+)
+
+test12 = ztest(
+    ind['fan'],
+    office['fan'],
+    alternative='larger'
+)
+
+print(test11)
+print(test12)
+
+#   Question 2
+ind = ind.sort_values(
+    by=['viewRate']
+).iloc[
+    len(ind.index)*5//100:len(ind.index)*95//100
+]
+office = office.sort_values(
+    by=['viewRate']
+).iloc[
+    len(office.index)*5//100:len(office.index)*95//100
+]
+
+test21 = ztest(
+    ind['viewRate'],
+    office['viewRate'],
+    alternative='smaller'
+)
+
+test22 = ztest(
+    ind['viewRate'],
+    office['viewRate'],
+    alternative='larger'
+)
+
+print(test21)
+print(test22)
+
+
+#   Question 3
+firstHalf = data.iloc[lambda x: x.index < len(data.index)//2]
+firstHalf = firstHalf.sort_values(
+    by=['viewRate']
+).iloc[
+    len(firstHalf.index)*5//100:len(firstHalf.index)*95//100
+]
+secondHalf = data.iloc[lambda x: x.index >= len(data.index)//2]
+secondHalf = secondHalf.sort_values(
+    by=['viewRate']
+).iloc[
+    len(secondHalf.index)*5//100:len(secondHalf.index)*95//100
+]
+
+test31 = ztest(
+    firstHalf['viewRate'],
+    secondHalf['viewRate'],
+    alternative='smaller'
+)
+
+test32 = ztest(
+    firstHalf['viewRate'],
+    secondHalf['viewRate'],
+    alternative='larger'
+)
+
+print(test31)
+print(test32)