数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -323,7 +323,7 @@ var_ctcvr_old_D=collect_data(var_ctcvr_old_data)
 var_ctcvr_old=np.var(var_ctcvr_old_D)
 mean_var_ctcvr_old=np.mean(var_ctcvr_old_D)
 print("【1】老用户CT-CVR数据波动5日内方差检验结果：{}".format(var_ctcvr_old))
-print("老用户CT-CVR数据波动5日内均值:{}".format(mean_var_ctcvr_old))
+print("老用户CT-CVR数据波动5日内均值:{}%".format(mean_var_ctcvr_old))
 
 
 var_ctcvr_new_data=get_var_data1("diary_meigou_newUser","diary_exp_newUser","diary_meigou_crv",five_days)
@@ -331,14 +331,14 @@ var_ctcvr_new_D=collect_data(var_ctcvr_new_data)
 var_ctcvr_new=np.var(var_ctcvr_new_D)
 mean_var_ctcvr_new=np.mean(var_ctcvr_new_D)
 print("【2】新用户CT-CVR数据波动5日内方差检验结果：{}".format(var_ctcvr_new))
-print("新用户CT-CVR数据波动5日内均值:{}".format(mean_var_ctcvr_new))
+print("新用户CT-CVR数据波动5日内均值:{}%".format(mean_var_ctcvr_new))
 
 var_cvr_old_data=get_var_data1("diary_meigou_oldUser","diary_clk_oldUser","diary_meigou_crv",five_days)
 var_cvr_old_D=collect_data(var_cvr_old_data)
 var_cvr_old=np.var(var_cvr_old_D)
 mean_var_cvr_old=np.mean(var_cvr_old_D)
 print("【3】老用户CVR数据波动5日内方差检验结果：{}".format(var_cvr_old))
-print("老用户CVR数据波动5日内均值:{}".format(mean_var_cvr_old))
+print("老用户CVR数据波动5日内均值:{}%".format(mean_var_cvr_old))
 
 #
 var_cvr_new_data=get_var_data1("diary_meigou_newUser","diary_clk_newUser","diary_meigou_crv",five_days)
@@ -346,35 +346,35 @@ var_cvr_new_D=collect_data(var_cvr_new_data)
 var_cvr_new=np.var(var_cvr_new_D)
 mean_var_cvr_new=np.mean(var_cvr_new_D)
 print("【4】新用户CVR数据波动5日内方差检验结果：{}".format(var_cvr_new))
-print("新用户CVR数据波动5日内均值:{}".format(mean_var_cvr_new))
+print("新用户CVR数据波动5日内均值:{}%".format(mean_var_cvr_new))
 
 var_ctr_old_data=get_var_data2("clk_count_oldUser_all_a","clk_count_oldUser_all_b","imp_count_oldUser_all","on_click_diary_card",five_days)
 var_ctr_old_D=collect_data(var_ctr_old_data)
 var_ctr_old=np.var(var_cvr_old_D)
 mean_var_ctr_old=np.mean(var_ctr_old_D)
 print("【5】老用户CTR数据波动5日内方差检验结果：{}".format(var_ctr_old))
-print("老用户CTR数据波动5日内均值:{}".format(mean_var_ctr_old))
+print("老用户CTR数据波动5日内均值:{}%".format(mean_var_ctr_old))
 
 var_ctr_new_data=get_var_data2("clk_count_newUser_all_a","clk_count_newUser_all_b","imp_count_newUser_all","on_click_diary_card",five_days)
 var_ctr_new_D=collect_data(var_ctr_new_data)
 var_ctr_new=np.var(var_ctr_new_D)
 mean_var_ctr_new=np.mean(var_ctr_new_D)
 print("【6】新用户CTR数据波动5日内方差检验结果：{}".format(var_ctr_new))
-print("新用户CTR数据波动5日内均值:{}".format(mean_var_ctr_new))
+print("新用户CTR数据波动5日内均值:{}%".format(mean_var_ctr_new))
 
 var_ctr_new_precise_data=get_var_data2("clk_count_newUser_all_a","clk_count_newUser_all_b","imp_count_newUser_all_precise","on_click_diary_card",five_days)
 var_ctr_new_precise_D=collect_data(var_ctr_new_precise_data)
 var_ctr_new_precise=np.var(var_ctr_new_precise_D)
 mean_var_ctr_new_precise=np.mean(var_ctr_new_precise_D)
 print("【7】新用户精准曝光CTR数据波动5日内方差检验结果：{}".format(var_ctr_new_precise))
-print("新用户精准曝光CTR数据波动5日内均值:{}".format(mean_var_ctr_new_precise))
+print("新用户精准曝光CTR数据波动5日内均值:{}%".format(mean_var_ctr_new_precise))
 
 var_ctr_old_precise_data=get_var_data2("clk_count_oldUser_all_a","clk_count_oldUser_all_b","imp_count_oldUser_all_precise","on_click_diary_card",five_days)
 var_ctr_old_precise_D=collect_data(var_ctr_old_precise_data)
 var_ctr_old_precise=np.var(var_ctr_old_precise_D)
 mean_var_ctr_old_precise=np.mean(var_ctr_old_precise_D)
 print("【8】老用户精准曝光CTR数据波动5日内方差检验结果：{}".format(var_ctr_old_precise))
-print("老用户精准曝光CTR数据波动5日内均值:{}".format(mean_var_ctr_old_precise))
+print("老用户精准曝光CTR数据波动5日内均值:{}%".format(mean_var_ctr_old_precise))