数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -293,8 +293,17 @@ ctcvr_new2=[float(chi_ctcvr_new_yesterday[i]) for i in range(len(chi_ctcvr_new_y
 ctcvr_tst_new=data_cal(ctcvr_new,ctcvr_new2)
 chi_cal(ctcvr_tst_new)
 
+# ###############数据波动大小检验##############
+print("============================分割线===================================")
 
+def get_var_data(x,y,z,t1):
+    sql_cid = "select {0}/{1} from {2} \
+    where stat_date >= '{3}' ".format(x,y,z,t1,t2)
+    CVR_DATA_recently = con_sql(sql_cid)[0]
+    return CVR_DATA_recently
 
+test_data=get_var_data("diary_meigou_oldUser","diary_exp_oldUser","diary_meigou_crv",five_days)
+print(test_data)
 
 # print(chi_ctr_precise_recently)
 # print(chi_ctr_precise_yesterday)