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ffm-baseline
Commit a10f4edf authored by 王志伟's avatar 王志伟
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数据指标波动假设检验统计

parent f2376e25
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eda/recommended_indexs/hypothesis_test.py
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...@@ -174,11 +174,11 @@ five_days=get_fivedate() ...@@ -174,11 +174,11 @@ five_days=get_fivedate()
def chi_DATA_recently(x,y,z,q,t1,t2): def chi_DATA_recently(x,y,z,q,t1,t2):
sql_cid = "select AVG({0}+{1}),AVG({2}) from {3} \ sql_cid = "select AVG({0}+{1}),AVG({2}) from {3} \
where stat_date >= '{4}' and stat_date < '{5}' ".format(x,y,z,q,t1,t2) where stat_date >= '{4}' and stat_date < '{5}' ".format(x,y,z,q,t1,t2)
CVR_DATA_recently = con_sql(sql_cid) CVR_DATA_recently = con_sql(sql_cid)[0]
return CVR_DATA_recently return CVR_DATA_recently
def chi_DATA_yesterday(x,y,z,q,t1): def chi_DATA_yesterday(x,y,z,q,t1):
sql_cid = "select {0}+{1},{2} from {3} where stat_date='{4}' ".format(x,y,z,q,t1) sql_cid = "select {0}+{1},{2} from {3} where stat_date='{4}' ".format(x,y,z,q,t1)
CVR_DATA_yesterday = con_sql(sql_cid) CVR_DATA_yesterday = con_sql(sql_cid)[0]
return CVR_DATA_yesterday return CVR_DATA_yesterday
chi_ctr_precise_recently=chi_DATA_recently("clk_count_oldUser_all_a","clk_count_oldUser_all_b","imp_count_oldUser_all_precise","on_click_diary_card",five_days,yesterday) chi_ctr_precise_recently=chi_DATA_recently("clk_count_oldUser_all_a","clk_count_oldUser_all_b","imp_count_oldUser_all_precise","on_click_diary_card",five_days,yesterday)
......
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